Next Article in Journal
The Value of Integrity: Empowering SMEs with Ethical Marketing Communication
Next Article in Special Issue
Evaluating the Yields of the Rainfed Potato Crop under Climate Change Scenarios Using the AquaCrop Model in the Peruvian Altiplano
Previous Article in Journal
Saving Energy in Biological Wastewater Treatment by Using Extremely Low-Frequency Electric Field—Pilot-Scale Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Circular Mining Wastes Management for Sustainable Production of Camellia sinensis (L.) O. Kuntze

by
Lyudmila S. Malyukova
1,
Nikita V. Martyushev
2,*,
Valeriya Valerievna Tynchenko
3,4,
Viktor V. Kondratiev
5,
Vladimir V. Bukhtoyarov
6,7,
Vladimir Yu. Konyukhov
8,
Kirill Aleksandrovich Bashmur
6,
Tatyana Aleksandrovna Panfilova
6 and
Vladimir Brigida
1,9
1
Federal Research Centre the Subtropical Scientific Centre of the Russian Academy of Sciences, 354002 Sochi, Russia
2
Department of Advanced Technologies, Tomsk Polytechnic University, 634050 Tomsk, Russia
3
Department of Computer Science, Institute of Space and Information Technologies, Siberian Federal University, 660041 Krasnoyarsk, Russia
4
Department of Computer Science and Computer Engineering, Institute of Computer Science and Telecommunications, Reshetnev Siberian State University of Science and Technology, 660037 Krasnoyarsk, Russia
5
Laboratory of Geochemistry of Ore Formation and Geochemical Methods of Prospecting, A. P. Vinogradov Institute of Geochemistry of the Siberian Branch of the Russian Academy of Sciences, 664033 Irkutsk, Russia
6
Department of Technological Machines and Equipment of Oil and Gas Complex, School of Petroleum and Natural Gas Engineering, Siberian Federal University, 660041 Krasnoyarsk, Russia
7
Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia
8
Department of Automation and Control, Irkutsk National Research Technical University, 664074 Irkutsk, Russia
9
Department of Biomedical, Veterinary and Ecological Directions, RUDN University, 117198 Moscow, Russia
*
Author to whom correspondence should be addressed.
Sustainability 2023, 15(15), 11671; https://doi.org/10.3390/su151511671
Submission received: 30 June 2023 / Revised: 21 July 2023 / Accepted: 26 July 2023 / Published: 28 July 2023
(This article belongs to the Special Issue Sustainability of Agriculture: The Impact of Climate Change on Crops)

Abstract

:
Mining operations have a significant negative impact on the surrounding ecosystems. The operation of mines and quarries creates a large amount of waste that accumulate and are practically unrecyclable in the environment. The involvement of these wastes in economic activity is an extremely urgent task. This can make the economy more sustainable and reduce its influence on ecosystems. This work presents the attempts of using quarry wastes as a fertilizer applied for growing tea crops. The novelty of this research involves revealing the quarry wastes as a fertilizer when growing Camellia sinensis (L.) O. Kuntze and assessing changes in the productivity of this plant when applying these calcium wastes. The waste of a quarry intended for extracting crushed stone was studied in this article. The composition of the waste was analyzed. Fertilizers used for manuring the soil were prepared based on the waste. Two experimental sites were selected. One of them was a control, where Camellia sinensis (L.) O. Kuntze was grown without using fertilizers. Fertilizers obtained from the waste were applied on the second site. The experimental work proceeded for 10 years. When discussing the results, special attention was paid to climatic conditions. This was caused by the need to show that it was the use of the fertilizer that influenced the change in the yield, not the climatic conditions. As a result of using calcium fertilizers based on the waste, the productivity of Camellia sinensis (L.) O. Kuntze was increased. The application of the fertilizers based on the quarry wastes was shown to provide an increase in the yield. The possibility of using calcium fertilizers to overcome unfavorable agroclimatic conditions during the tea cultivation was also demonstrated. To assess the climatic impact of applying new fertilizers, three-dimensional modeling in the “gnuplot v.5.4” software was used. As a result, an increase in the average annual precipitation, from 1000 to 1980 mm/year, in the range of the average annual air temperature, from 14 to 16 °C, was found to lead to an increase (when using a new fertilizer) in the yield of Camellia sinensis (L.) O. Kuntze up to 4.8 times (from 20 to 95 centner/ha). The results have shown that applying fertilizers based on the quarry wastes is also possible in unfavorable climatic conditions.

1. Introduction

According to the latest data, CO2 emissions from rivers in the permafrost zone will increase three times over the next 10 years due to climate change [1,2], which can significantly affect life expectancy in certain regions of the world [3]. Differences in the regional policy when constructing the carbon trading market do not always provide a tangible effect of industrial sector decarbonization [4]. Along with the increase in the average annual air temperature, the negative consequences of global climate changes are also manifested in an increased risk of water scarcity, which may exceed USD 2.7 trillion [5]. In subtropical zone conditions of the Caucasus in the last 5 years, a change in the trend of the average annual air temperature towards an increase was traced [6], which deteriorates the growing conditions for crops. In addition, in the spring period (from March to May), climatic factors have been proven to have a dominating effect, causing soil organic carbon growth in the layers of 0–10 cm and 10–30 cm [7]. The temperature of the late rainy season can significantly limit the radial growth of S. superba plantings in the southern rims of the subtropical forests of Southeastern China [8].
The influence of industrial wastes on agriculture. The mining that exploits “brown mining technologies” aggravates the anthropogenic component effect (for example, the influence of landfills of household wastes [9]) on the existing biocenoses [10,11,12]. The mining of rich ores at shallow depths is replaced by complicated mining conditions, and the transportation of interspersed ores to the extraction is accompanied by an increased consumption of high-tech goods. For example, in the Mufulira River, the presence of the slurry pulp obtained from the Konkola Copper Mines Plc mine tailings led to an increased SO42—concentration (1396 mg/L) and dissolved Al (2115 µg/L), Co (909 µg/L), Cu (7405 µg/L), Ni (51.5 µg/L), Pb (161 µg/L), and Zn (346 µg/L), including a decreased pH (2.04). This fact poses a serious threat to agriculture [11]. In the southwest of Spain, a rather long-term extraction of sulfide deposits led to the migration of dissolved and suspended metals and arsenic compounds into surface waters [13]. The authors identified the arsenic concentrations of 80 µg/L As3+ and 5 mg/L As5+. At the same time, the concentration of arsenic compounds increases, and the As3+/As5+ ratio decreases downstream of the Agua Agria brook (in the Tarsis Mine area). Many authors point to the presence of uneven contamination of the soil and surface waters. For example, in Zambia, the soils in the zone of influence of the Koperbelt mining area (4700 km2) reflect a significant variability in the geochemical properties of the soils, as well as different contamination degrees (a high proportion of copper in soils equal to 85.5 mg/kg is found even in seemingly uncontaminated areas) [14]. The levels of heavy metals in various fractions of soil particles (>250, 63–250, and <63 microns) of the landscapes in suburban areas of Saudi Arabia are determined by mining (Cd, Cu, Zn, and Pb) [15].
Open-pit mining causes serious damage to land resources and completely transforms the land relief [16]. Land amelioration is mainly aimed at restoring the ecosystem and the value of the land exposed to mining, which is still a difficult task [17]. The results of the high-performance sequencing (using the PIECRUST method) of microbial communities of aluminum quarry soils have shown the efficiency of using yellow rose, lespedeza, and sweet wormwood herb to improve the soil quality [18]. When compared to this fact, spontaneous succession at an abandoned dolomite limestone quarry in Missouri can lead to the emergence of plant communities, including 74 native species (and 21 non-native species), which is close to the species diversity of natural communities [19].
The hydroseeding of Leguminosae, Poaceae, and Cyperaceae is effectively used on the landscapes to reclaim sites and reduce soil erosion in the post-mining period [20]. The increase in the related environmental problems [21,22,23] actualizes not only the need to develop a green mining strategy [24], green technologies for mineral enrichment [25], involving other sustainable technologies [26] but also a transition to a sustainable use of mineral resources based on circular economy models [27,28,29]. A circular economy implies the closure of resource flows without forming associated wastes [30,31,32]. This direction is the dominant tool in developing national strategies used for sustainable development all over the world [33]. The process of zero fluid discharge used for extracting struvite and regenerating the drinking water obtained from wastewater is quite a promising direction when introducing a closed-cycle economy [34]. When forming sustainable agricultural processes, a circular economy is most often used in the context of the life cycle assessment (LCA) theory [35], while waste management issues remain insufficiently studied. Circular waste management is the most efficient method of soil reclamation. In this regard, a rather promising direction in solving the problem of waste is developing the directions for their use in agriculture or closure in the in-house technological cycle. For example, using composted sewage sludge of an organic fertilizer in sugar cane fertilizers increases soil fertility and reduces the need for mineral fertilizers [36]. The wastes obtained from a highly acidic dump in the form of soil substitutes obtain a nutrient medium with the following parameters: (N (0.37–0.51%), P (0.23–0.47%), K (1.78–3.17%), Ca (4.93–8.39%), and Mg (1.16–1.71%)). This allows their use for agricultural purposes [37]. In some cases, for example, using waste drilling mud (≥6%) has a negative effect on the germination of Maize seeds (Zea mays L.), which does not yet allow it to be used for sustainable agriculture purposes [38,39]. In another study, the influence of using organic wastes on the physical properties of the soil in arid regions affected by the negative consequences of coal mining was established [40].
One example of involving the calcium wastes obtained from quarries in the production process is adding them to cement [41,42] or the thermochemical modification of granular copper slag [43] for using it as a binder substitute. At the same time, in the regions of the agricultural or recreational-tourist specialization, their use as fertilizers is more productive. Investing in innovations of this kind [44,45] will allow the achievement of the carbon neutrality of individual industries [46], in addition to minimizing the anthropogenic impact.
Meteorological conditions for growing the plants. Tea cultivation in the subtropics of different regions of the world, as a rule, is associated with the risks of yield losses in dry years. In the end, the yield losses in adverse meteorological conditions can be 50–60% or more. According to a number of researchers [47,48], hydrothermal stress leads to the loss of more than 50% of the tea harvest during rain-fed cultivation. For example, in the case of chickpeas or soybeans, drought can pose a serious threat [49,50,51,52], causing the need to ensure sustainable agribusiness [53,54,55]. In this regard, it is interesting to develop the possibility of cleaning ponds for sedimentation tanks followed by their subsequent use in agriculture [56] or to use the synergy of agricultural and energy production [57]. The progressive aridization of the climate actualizes the task of increasing the plants’ resistances to drought. In this regard, much attention in the research devoted to the tea culture is paid to studying the mechanisms of its drought resistance, searching for the most informative markers of drought resistance, as well as creating new resistant varieties and the influence of exogenous inducers, including mineral fertilizers. Therefore, the influence of applying the calcined fertilizers on the tea yield is an urgent specific research issue in circular waste management when ensuring sustainable agriculture. This study hypothesis consisted in the fact that the introduction of calcium-containing quarry wastes would increase the tea yield despite the insufficient rainfall.
In this connection, the aim of this study is to assess the productivity of growing Camellia sinensis (L.) O. Kuntze in conditions of the cyclic management of calcium wastes.

2. Materials and Methods

2.1. Properties of Calcium-Containing Wastes

The object of research and the source of the calcifying fertilizer is the “Kamensky” quarry, which is located at 43°32′04.5″ N 39°58′59.4″ E (Figure 1). To characterize the chemical composition of the sample material, the gross content of the chemical elements was determined with quantitative methods. They are mass spectrometric and atomic emission analyzers using inductively coupled plasma (ICP-MS and ICP-AES) according to the certified NSAM methodology. The 499-NPP/MS method, “Determination of the elemental composition of rocks, soils and bottom sediments using the atomic emission method, having inductively coupled plasma, and the mass spectral method involving inductively coupled plasma”, was used to conduct these studies [58]. The equipment included the inductively coupled plasma mass spectrometer Elan-6100 (“Perkin Elmer”, Waltham, MA, USA) and the atomic emission inductively coupled plasma spectrometer Optima-4300 DV (“PerkinElmer”, Waltham, MA, USA).
Limestone (CaCO3) and dolomite (CaMg(CO3)2) crushed stone are mined at the facility, whose sludge waters flow along the streams into the Mzymta river (Figure 2). The sampling was carried out as follows. During the license revocation period, the facility was examined to determine the oversized tailing at the industrial site where the rock was crushed (Figure 2a). To ensure the sample representativeness, the material was selected once (in three stages). Approximately 2000 kg of the small rocks was filled into bags (45–50 kg each). As a result, 142 bags were filled for the sampling and then transported to the warehouse of the scientific center (FRC SSC RAS). Later, before each application, the packed material was additionally prepared (ground in a laboratory mill) and sieved up to a grinding thickness of 0.25 mm. The material is characterized by a slightly alkaline reaction in water ( p H H 2 O = 8.2).
The obtained results of the elemental composition of the bulk wastes are presented in Table 1. The data presented in Table 1 are the average values for 10 measurements. The maximum deviation for the content of the elements over 400 µg/g was 6.3%, for the content of the elements within 1–400 µg/g it was 8.7%%, for the content of the elements within 0.1–1 µg/g it was 0.05 µg/g, and for the values less than 0.1 µg/g it was 0.02 µg/g. This substance is characterized by a slightly alkaline reaction of an aqueous suspension (pH is 8.20). It contains calcium in an exchange form (10.9 mmol (eq)/100 g) and a smaller amount of magnesium of 2.2 mmol (eq/100 g). The calcium-containing natural material is the clay-lime waste formed when crushing the limestones into small fractions of the crushed stone.
After checking the fact that individual chemical elements did not exceed the specified critical concentrations, a standard biotesting method was applied to them. The studied quarry wastes turned out to be chemically neutral, as a result of biotesting its extracts [59] using the single-celled algae Chlorella Vulgaris. The test results showed no significant deviations from the control in either acute or chronic experiments. This proves that they do not have reliable toxic properties and can be used in agriculture.

2.2. Experiment Parameters and Possible Limitations

The basis for choosing the plant type was the fact that tea is an industrially significant crop for this region, which has been grown in the Black Sea coastal area of the Krasnodar Territory for more than 100 years. Due to the favorable conditions of tea cultivation in the subtropics, as well as the presence of experimental plantations, the existing full-aged tea plantation Camellia sinensis (L.) O. Kuntze (Colchis variety) was chosen to be used for further experiments (Figure 3).
The studies were conducted for nine years, from 2011 to 2020. The object was 2 variants of the field experiment: (1) control (background) was N240P70K90 (in kg d.v./ha) as a traditional fertilizer system; (2) background + natural calcium-containing material, whose description is provided in [60]. Tea grew on chernozem (black soil) soil with a humus content of 6.5%. The granulometric composition of the soil was generally uniform along the profile. There was no noticeable movement of silt particles. The predominance of silty–silty fractions in the soil caused a high absorption capacity and moisture capacity.
The material was sieved to obtain a fractional composition of less than 0.25 mm in fineness. The area of the experimental plots was 100 m2. The tea plantation was founded in 1983 with a high-yielding variety of Colchis in subtropical conditions (Dagomys, Russia); the experiment scheme was imposed in 2003. The tea plantation plots are located at 43°41′04.8″ N 39°38′14.0″ E (43.684655, 39.637222). Annual fertilization in the amount of 250 kg/ha of the wastes in the form of a dry white-grayish powder was conducted in the spring period. The fertilizer was evenly applied to the root zone (manually). The crop yield was recorded (manual harvesting) during the periods approaching the tea leaf harvesting, according to agricultural regulations [61]. When designing the experiment plan, the following problems were taken into account, which could affect the obtained results. In this case, the factors of “uncontrolled environmental parameters” and insignificant climatic anomalies were not observed, and the intra-annual variability was conditionally stable for the entire observation period. The variability factor of the calcium-containing waste products, due to the uneven distribution of the conditions of the processed rock formations on the ledges, could significantly affect the results. To neutralize this factor, the material was taken once from one source, while the composition for the chemical analysis was taken from the random 10 bags. The “experiment duration” factor was undoubtedly of significant interest in the context of assessing the duration of a positive effect (which was one of the main research issues this time). In this regard, the observation period was approaching ten years.
During the study period, the soil was analyzed in a standard way. The exchange acidity of the soils was determined with the potentiometric method using the ionometer “pH-121 EKOSTAB” (OOO “EKOINSTRUMENT”, Moscow, Russia). Easily hydrolyzable nitrogen was determined with the Tyurin–Kononova method (colorimetric method involving the Nessler reagent), including mobile phosphorus (with Oniani having a colorimetric ending according to Deniges) using the “USF-01” spectrophotometer (FSUE All-Russian Research Institute of Optical and Physical Measurements, Moscow, Russia). Mobile potassium was determined with Oniani using an atomic-absorption spectrometer “KVANT-AFA” (OOO “KORTEK”, Moscow, Russia). The content of the exchange forms of Ca2+ and Mg2+ was determined with the trigonometric method.

2.3. Mathematical Processing of the Results

When choosing the methods for processing arrays of three-dimensional data, we proceeded from the experience of solving such types of problems in the relevant fields of knowledge [62,63,64,65]. The closest analog is the spatial–temporal problems of geoecology: the assessment of the aerogas regime of the surface layer (earth breathing) [66,67,68,69], forecasting the long-term time series of data [70], geostatistical modeling using GIS technologies [71,72,73], applying fractal models [74], deep learning [75,76], or perceptrons [77,78]. In contrast to using splines [79,80] or the local polynomial regression (LOESS) method [81,82], the primary data were not smoothed in this work due to the small sample size. The primary data were processed using Microsoft Excel 2010 software; three-dimensional models (using R. Renka algorithm implemented as a Python script) were formed based on a standard sequence of built-in commands: “gnuplot v.5.4” software and “Scilab 6.1.1” software for searching the regression equations.

3. Results

The essence of the experiment was a long (more than 5–7 years) introduction of a constant volume of the technogenic fertilizer (whose 40% of the weight was Ca) to confirm the effectiveness of its application in situ. The main effect of its application in the subtropical zone was to restore soil fertility and to assist in overcoming unfavorable climatic conditions of growing Camellia sinensis (L.) O. Kuntze. For this purpose, up to 2000 kg of the primary fine-dispersed material was selected at the quarry, which after storage, was periodically sifted and, in a spring period, was manually introduced into the root zone of tea rows. The material consumption in each period was 250 kg per hectare of the tea plantation. The three-leave flush was harvested manually; the average yield of tea is provided in Table 2. The experimental field was divided into nine land plots from which the tea was harvested. The table provides the average values based on the measurement results. The maximum deviation from the average value was 3.2%. In our work, we carried out mathematical processing of the obtained results and for each of the years determined the values of Student’s t-test—tS. Based on the obtained values of the criterion for each of the years, we accepted the null hypothesis at a significance level of 0.001. The only exception was in 2012. This year the average temperature was minimal, and there was little rainfall. This year, the Student’s t-test passed with a significance level of 0.05. By a null hypothesis, we mean that the samples are not equivalent, which in turn, indicates a statistically proven effect of fertilizers on productivity. In most cases, the significance level was less than 0.01. This indicates that there was no relationship between the results.
In the period of study (2011–2020), there were years when the meteorological conditions were relatively favorable, as when the yield varied from 6500 to 11,700 kg/ha (65 to 117 centner/ha). And it was commensurate with the potentially achievable yield for this variety (9000–11,000 kg/ha or 90–110 centner/ha) and relatively unfavorable conditions, in which the yield decreased by an average of 50% and was 26–40 kg/ha (26–40 centner/ha).
The application of modern methods of three-dimensional interpolation has revealed the nature of the relationship between the culture cultivation parameters and the culture yield level (Figure 4).
The analysis of Figure 4 implies the fact that the surface of the distribution of crop yield parameters has pronounced nonlinearities, which determines the presence of three pronounced extremes (two maxima and one minimum). At the same, the overall appearance of the response surface is the same in both cases; in the case of waste use, the overall trend is clearly higher relative to the Z-axis.
As to the base case, a logarithmic-type dependence has been revealed (the solution is shown in Figure 5), whose formula has the following view (R2 = 0.84):
U = 646558.11 ( l n t ) 2 + 79331.38 ( l n t ) 3 0.23 P 0.006 P 2 ,
where U—tea yield in the control version of the experiment using NPK, centner/ha; t—average annual air temperature (from October of the previous year to September of the current year), C/year; P—annual precipitation (for the same period), mm/year.
Figure 5 shows that a precipitation (P) increase from 1230 to 2000 mm/year at an average annual temperature of T = 14 °C increases the yield of green tea leaves from 20 to 90 centner/ha (4.5 times along a nonlinear trajectory). Simultaneously, a logarithmic increase from 20 centner/ha is traced up to forming a local maximum (54 centner/ha) within 1580 and 1600 mm/year, followed by a slight decline (at the level of 46–48 centner/ha) in the range of 1670–1800 mm/year, and subsequent growth to maximum values (90 centner/ha) when P = 2000 mm/year.
In turn, a temperature increase of up to 16 °C against the same background of precipitation leads to a similar pattern of yield changes from 20 centner/ha (starting from P = 1200 mm/year) to a maximum of ≥100 centner/ha (at P = 2000 mm/year), providing a five-time increase in the yield. A change in the air temperature from 14 to 16 °C results in a minimum rate of crop growth from 20 centner/ha (14 °C) up to 23 centner/ha (16 °C). In the case of a high amount of precipitation (2000 mm/year), in the same range of changes in the average annual air temperature, the tea yield gradually increases by 25%.
In general, a favorable combination of the average annual temperature and the sum of the precipitations intended for tea cultivation (control, traditional fertilizer system) based on the data analysis is the ranges of T = 14–16 °C and P = 1800–2000 mm/year, when the yield is approximately more than 80 c/ha. The green tea leaf increase in optimal weather conditions when using the traditional fertilizer system is 17.0%.
The introduction of calcium wastes obtained from the quarry into the soil can significantly improve the dynamics of its yield due to the growth in the resistance of the tea plants (Camellia sinensis (L.) O. Kuntze) to adverse meteorological conditions. As a result of approximating the experimental data, a logarithmic-type dependence has been established (its solution is shown in Figure 6), whose formula has the following view (R2 = 0.83):
U = 144095.12 ( l n t ) 3 + 0.90 P 0.009 P 2 ,
where U—tea yield when using a calcium-containing material, centner/ha; the other designations are the same as they are in Formula (1).
The nonlinearities typical of Figure 5 are also inherent in the studied Figure 6 (when using quarry wastes), but their parameters have specific features, namely the stable optimal productivity zone is located higher (along the Z-axis) than that in the base case.
Figure 6 shows that during the same research period, an increase in the amount of precipitation from 1200 to 2000 mm/year at an average annual temperature above 14 °C ensures a yield increase in the tea culture from 20 to more than 100 centner/ha. At the same time, the logarithmic increase from 20 centner/ha is traced to the formation of a local maximum (68 centner/ha) when P = 1600 mm/year. This is then replaced by a slight decline (at the level of 53 centner/ha) in the range of 1800–1823 mm/year and a subsequent increase up to the maximum values (78 centner/ha) when P = 2000 mm/year.
In turn, a temperature increase of up to 16 °C against the same background of precipitations leads to a similar pattern of yield changes from 20 centner/ha (starting from P = 1180 mm/year) to a maximum of ≥100 centner/ha (when P ≥ 1900 mm/year), providing a yield increase of more than five times. An air temperature change from 14 to 16 °C results in a minimum rate of crop growth ranging from 20 centner/ha (14 °C) to 28 centner/ha (16 °C). In general, a combination of the average annual temperature and precipitations that are favorable for the tea cultivation (control, traditional fertilizer system) proceeding from the data analysis is the ranges of T = 14–16 °C and P = 1800–2000 mm/year, when the yield is about more than 95 centner/ha. The crop increase in the green tea leaves in optimal weather conditions and using the calcium wastes obtained from the quarry increase the maximum productivity area by 50% (when T = 16 °C and P = 2000 mm/year) compared to the base case.
The combined profiles of the two variants are shown in Figure 7 to visually assess the additional effects that the wastes have on tea cultivation efficiency.
The analysis of the productivity dynamics of the tea cultivation shown in Figure 7 implies the fact that when using a differentiated calculation of the areas under the average profiles of the two surfaces, the difference is about 22%, which determines a direct effect gained from using the wastes in these microclimatic conditions. The initial agrochemical characteristic of p H K C l was 3.75 ± 0.14. On average, over the period, the variation range for the base case was 2.95–3.3, and in the case of the experimental site, it was in the range of 3.2–3.4. The value of mobile phosphorus ( P 2 O 5 ) was 294 ± 37; in the case of the base case, it equaled 780–1100, and it was 560–890 mg/kg when applying the fertilizers. The value of exchangeable potassium ( K 2 O ) was 273 ± 25 and for the base case was 300–450, and in the case of the fertilization, it was 400–660 mg/kg. The value of easily hydrolyzable nitrogen ( N l g ) was 48 ± 6; in the case of the base case, it was equal to 55–270, and in the case of the fertilization, it was 110–450 mg/kg. The value of the fractions of exchangeable calcium and magnesium ( C a 2 + + M g 2 + ) was 8.40 ± 1.40; in the case of the base case, it was 2.9–4.5, and when applying the fertilizers, it amounted to 3.9–5.3 mmol (eq)/100 g.

4. Discussion

The main factor studied in this work is undoubtedly the drilled fertilizers based on the waste obtained from the quarries where crushed stone was extracted. Conducting a study on the influence of the fertilizers on productivity requires the consideration of climatic conditions. The climatic conditions are the most important factor influencing both the productivity of plants and the work of the fertilizer itself. The absence of precipitation entails the absence of the fertilizers’ influence since it will not be dissolved in water, being in the soil. In this regard, considerable attention is to be paid to climatic conditions. Firstly, this demonstrates the fact that it was the fertilizer that influenced the productivity increase of the tea culture under study. Secondly, this fact clarified the difference in the productivity of the tea culture when applying the fertilizers in different years.
The influence of meteorological conditions on the yield of tea plantations was analyzed throughout the entire period of tea cultivation in the subtropics [83,84,85]. P.M. Bushin [84] established the temperature factor influence on the 1 May harvesting of tea leaves. The subsequent harvestings (6–8th) depended on the precipitation amount. L.S. Malyukova had previously found that the unfavorable thermal regime of the spring period (in particular, frosts in March–April) leads to a significant loss in the first and, accordingly, the gross yield of tea leaves [86]. Insufficient precipitation (less than 700 mm over the period of April–October) during the growing season additionally inhibits the shoot formation process, reducing shoot activity. An average daily temperature increase in the leaf-harvesting period up to 23–25 °C—conditioned, as a rule, by a significant increase in daytime temperatures up to the values that reduce the photosynthesis process intensity—led to a drop in the tea plantation yield. At the same time, the precipitation of 390 mm over the leaf-harvesting period was of critical value for the shoot-forming activity of the tea plant. The regularities obtained in this study allowed for the detailing of the optimal ranges of the average annual temperature and annual precipitation specified for tea cultivation: in the case of the traditional fertilizer system, T = 14.76–16 °C and P = 1575–1780 mm/year; in the case of using the calcium wastes obtained from the “Kamensky” quarry, T = 14–16 °C and P = 1500–1830 mm/year. The revealed increase in the tea yield against the background of applying the calcium-containing material in the case of different combinations of climatic factors was 22%. Similar to the study of conditions in Southwestern Ethiopia [87], fluctuations in yield in specific years seem to be associated with seasonal climate fluctuations (their influence on the resulting yield values is the topic of further research). In the case of the rather arid tea-growing conditions in the subtropical zone of the Caucasus (compared to the optimal range of 2500–3000 mm/year [88]), a slight change in precipitation leads to significant deviations in the tea yield.
The obtained results do not contradict the studies conducted for the Indian tea variety, where the presence of the seasonal variability of biochemical compounds in the samples of Camellia sinensis (L.) O. Kuntze has been convincingly proven [89,90]. In such climatic growing conditions, the increase in applying the fertilizer from 0 to 300 kg/ha can significantly improve the final product quality due to the improved ability of the tea leaf to inhibit antioxidants [91]. According to the literature data, the material concentration change in the cytosol represents the first stage in the cell’s recognition of external influences and launches a signal transduction system for causing a feedback response [92,93,94]. The reason may be the influence of abiotic stresses on the growth of metabolites in tea [95]. An important group of sensors involved in the cascade of calcium ion signals in the cells of higher plants is Ca-dependent protein kinases [96,97]. Under the action of calcium, there are changes in the growth, photosynthesis, and water–air regime of the plants, the work of stomata, as well as the accumulation of stress proteins [98,99]. The influence of calcium-entailed changes was noted in the growth, photosynthesis, and water–air regime of the plants, stomata functioning, as well as the antioxidant system induction [100,101]. This contributed to an increase in the tea plant’s resistance to the combined effects of stress factors by maintaining the enzymatic activity of the leaves at a higher level, induction of secondary metabolites synthesis—the adaptive restructuring of the pigmentary fund, which on the whole, provided a higher functional activity of the plants during subsequent rehydration.
When cultivating tea on brown acidic soils, the use of the calcium-containing material was determined by the need to verify the hypothesis of a possible replenishment of the calcium content (when leaching it in acidic conditions) and, accordingly, to improve the resistance of Camellia sinensis (L.) O. Kuntze to abiotic stresses. But at the same time, it became possible to identify the existence of the pH shift towards the acidic interval accompanied by a simultaneous increase in the content of exchangeable calcium and magnesium (see the results of Section 3). This conditions the hypothesis, in which the mechanism explaining these changes in improving the nutritional regime of the tea plants in conditions of insufficient water supply is the intensification of the respiratory and enzymatic activity of soils. Verifying this hypothesis is a prospect for further research.

5. Conclusions

In conditions of humid subtropics and high variability of microclimatic cultivation parameters, the calcium wastes obtained from quarries can be successfully applied by agricultural enterprises cyclically when growing tea plants. At the same time, the effect of using the wastes in these microclimatic conditions when growing Camellia sinensis (L.) O. Kuntze is about 22%. Finally, the conducted studies have established the fact that an increase in the average annual precipitation from 1000 to 1980 mm/year, in the range of the average annual air temperature from 14 to 16 °C, leads to the 4.8-time yield growth of Camellia sinensis (L.) O. Kuntze with the logarithmic dependence (from 20 to 95 centner/ha). The work made it possible to reveal for the first time that the crop yield of Camellia sinensis (L.) O. Kuntze increases more than five times with the logarithmic dependence (from 20 to more than 100 centner/ha) when adding the wastes obtained from the “Kamensky” quarry. At the same time, the zone and absolute values of the region of productive tea cultivation increase, and the maximum productivity is achieved in the case of less precipitation.
The practical significance of applying mining wastes as a non-traditional type of fertilizer for forming sustainable agriculture may consist in the subsequent development of the technological regulations of their use, including transportation, storage, and introduction into the soil.
The obtained data have confirmed the positive role, previously revealed by a set of biophysiochemical indicators, of the calcium-containing natural material in adapting tea plants to drought and the efficiency of its use in tea plantations. The above-mentioned conclusions and recommendations are valid only for the range of conditions of the subtropical zone of the Caucasus (acidic soils, P ranging from 1000 to 2000 mm/year, and t varying between 14 and 16 °C). Further research should be focused on identifying within-year climate variability during the growing season and the productivity of the fertilizer application when cultivating tea.

Author Contributions

Conceptualization, L.S.M., N.V.M. and V.B.; methodology, V.V.T. and V.V.K.; software, K.A.B. and T.A.P.; validation, K.A.B. and T.A.P.; formal analysis, V.V.T. and V.V.K.; investigation, V.V.B. and V.Y.K.; resources, V.V.T. and V.V.K.; data curation, V.V.B. and V.Y.K.; writing—original draft preparation, L.S.M., N.V.M. and V.B.; writing—review and editing, L.S.M., N.V.M. and V.B.; visualization, K.A.B. and T.A.P.; funding acquisition, V.V.B. and V.Y.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data of this work are given in the text of the article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Vorobyev, S.N.; Pokrovsky, O.S.; Korets, M.; Shirokova, L.S. A snap-shot assessment of carbon emission and export in a pristine river draining permafrost peatlands (Taz River, Western Siberia). Front. Environ. Sci. 2022, 10, 987596. [Google Scholar] [CrossRef]
  2. Lyubas, A.A.; Tomilova, A.A.; Kondakov, A.V.; Konopleva, E.S.; Vikhrev, I.V.; Gofarov, M.Y.; Eliseeva, T.A.; Aksenova, O.V.; Bovykina, G.V.; Kryuk, D.V.; et al. Phylogeography and Genetic Diversity of Duck Mussel Anodonta anatina (Bivalvia: Unionidae) in Eurasia. Diversity 2023, 15, 260. [Google Scholar] [CrossRef]
  3. Polcyn, J.; Voumik, L.C.; Ridwan, M.; Ray, S.; Vovk, V. Evaluating the Influences of Health Expenditure, Energy Consumption, and Environmental Pollution on Life Expectancy in Asia. Int. J. Environ. Res. Public Health 2023, 20, 4000. [Google Scholar] [CrossRef] [PubMed]
  4. Wu, R.; Tan, Z.; Lin, B. Does carbon emission trading scheme really improve the CO2 emission efficiency? Evidence from China’s iron and steel industry. Energy 2023, 277, 127743. [Google Scholar] [CrossRef]
  5. Chen, X.; Zhao, B.; Shuai, C.; Qu, S.; Xu, M. Global spread of water scarcity risk through trade. Resour. Conserv. Recycl. 2022, 187, 106643. [Google Scholar] [CrossRef]
  6. Yaitskaya, N.A.; Dzaganiia, L.M.; Brigida, V.S. Geoecological hazards in context of climate change of territories of Caucasus subtropical zone. Geol. I Geofiz. Yuga Ross. Geol. Geophys. Russ. South 2023, 13, 118–132. (In Russian) [Google Scholar] [CrossRef]
  7. Cheng, X.; Zhou, T.; Liu, S.; Sun, X.; Zhou, Y.; Xu, L.; Xie, B.; Ying, J.; Shi, Y. Effects of Climate on Variation of Soil Organic Carbon and Alkali-Hydrolyzed Nitrogen in Subtropical Forests: A Case Study of Zhejiang Province, China. Forests 2023, 14, 914. [Google Scholar] [CrossRef]
  8. Jiang, S.; Guo, X.; Zhao, P.; Liang, H. Radial Growth–Climate Relationship Varies with Spatial Distribution of Schima superba Stands in Southeast China’s Subtropical Forests. Forests 2023, 14, 1291. [Google Scholar] [CrossRef]
  9. Godio, A.; Chiampo, F. Geophysical Monitoring of Leachate Injection in Pretreated Waste Landfill. Appl. Sci. 2023, 13, 5661. [Google Scholar] [CrossRef]
  10. Golik, V.I.; Alekseev, I.A. Metal leaching from low-grade raw materials in North Ossetia–Alania. MIAB. Mining Inf. Anal. Bull. 2023, 5-1, 135–144. (In Russian) [Google Scholar]
  11. Kříbek, B.; Nyambe, I.; Sracek, O.; Mihaljevič, M.; Knésl, I. Impact of Mining and Ore Processing on Soil, Drainage and Vegetation in the Zambian Copperbelt Mining Districts: A Review. Minerals 2023, 13, 384. [Google Scholar] [CrossRef]
  12. Kumar, R.; Kumar, K.; Singh, R.; Sá, J.C.; Carvalho, S.; Santos, G. Modeling Environmentally Conscious Purchase Behavior: Examining the Role of Ethical Obligation and Green Self-Identity. Sustainability 2023, 15, 6426. [Google Scholar] [CrossRef]
  13. Sarmiento, A.M.; Caraballo, M.A.; Sanchez-Rodas, D.; Nieto, J.M.; Parviainen, A. Dissolved and particulate metals and arsenic species mobility along a stream affected by Acid Mine Drainage in the Iberian Pyrite Belt (SW Spain). Appl. Geochem. 2012, 27, 1944–1952. [Google Scholar] [CrossRef]
  14. Kříbek, B.; Majer, V.; Knésl, I.; Nyambe, I.; Mihaljevič, M.; Ettler, V.; Sracek, O. Concentrations of arsenic, copper, cobalt, lead and zinc in cassava (Manihot esculenta Crantz) growing on uncontaminated and contaminated soils of the Zambian Copperbelt. J. Afr. Earth Sci. 2014, 99, 713–723. [Google Scholar] [CrossRef]
  15. Al-Swadi, H.A.; Usman, A.R.A.; Al-Farraj, A.S.; Al-Wabel, M.I.; Ahmad, M.; Al-Faraj, A. Sources, toxicity potential, and human health risk assessment of heavy metals-laden soil and dust of urban and suburban areas as affected by industrial and mining activities. Sci. Rep. 2022, 12, 8972. [Google Scholar] [CrossRef]
  16. Guan, Y.; Zhou, W.; Bai, Z.; Cao, Y.; Wang, J. Delimitation of supervision zones based on the soil property characteristics in a reclaimed opencast coal mine dump on the loess plateau, China. Sci. Total Environ. 2021, 772, 145006. [Google Scholar] [CrossRef]
  17. Pratiwi; Narendra, B.H.; Siregar, C.A.; Turjaman, M.; Hidayat, A.; Rachmat, H.H.; Mulyanto, B.; Suwardi; Iskandar; Maharani, R.; et al. Managing and Reforesting Degraded Post-Mining Landscape in Indonesia: A Review. Land 2021, 10, 658. [Google Scholar] [CrossRef]
  18. Zhao, D.; Hou, H.; Liu, H.; Wang, C.; Ding, Z.; Xiong, J. Microbial Community Structure and Predictive Functional Analysis in Reclaimed Soil with Different Vegetation Types: The Example of the Xiaoyi Mine Waste Dump in Shanxi. Land 2023, 12, 456. [Google Scholar] [CrossRef]
  19. Stephan, K.; Hubbart, J.A. Plant Community, Soil and Microclimate Attributes after 70 Years of Natural Recovery of an Abandoned Limestone Quarry. Land 2023, 12, 117. [Google Scholar] [CrossRef]
  20. Narendra, B.H.; Pratiwi, P. Adaptability of some legume trees on quartz tailings of a former tin mining area in Bangka Island, Indonesia. J. Degrad. Min. Lands Manag. 2016, 4, 671–674. [Google Scholar] [CrossRef] [Green Version]
  21. Oggeri, C.; Vinai, R.; Fenoglio, T.M.; Godio, A. Large Scale Trials of Waste Mine Burden Backfilling in Pit Lakes: Impact on Sulphate Content and Suspended Solids in Water. Sustainability 2023, 15, 7387. [Google Scholar] [CrossRef]
  22. Radzhabov, G.K.; Musaev, A.M.; Islamova, F.I.; Aliev, A.M. Analysis of accumulation of volatile organic compounds in plants of Hyssopus officinalis L., introduced in mountain conditions. Sustain. Dev. Mt. Territ. 2023, 15, 174–181. (In Russian) [Google Scholar] [CrossRef]
  23. Korchak, P.A.; Karasev, M.A. Geomechanical prediction of the brittle fracture zones in rocks in the vicinity of the excavation junction of Ltd. “Apatit” mines. Sustain. Dev. Mt. Territ. 2023, 15, 67–80. (In Russian) [Google Scholar] [CrossRef]
  24. Doulati Ardejani, F.; Maghsoudy, S.; Shahhosseini, M.; Jodeiri Shokri, B.; Doulati Ardejani, S.; Shafaei, F.; Amirkhani Shiraz, F.; Rajaee, A. Developing a Conceptual Framework of Green Mining Strategy in Coal Mines: Integrating So-cio-economic, Health, and Environmental Factors. J. Min. Environ. 2022, 13, 101–115. [Google Scholar] [CrossRef]
  25. Chipakwe, V.; Karlkvist, T.; Rosenkranz, J.; Chelgani, S.C. Beneficial effects of a polysaccharide-based grinding aid on magnetite flotation: A green approach. Sci. Rep. 2022, 12, 6502. [Google Scholar] [CrossRef]
  26. Chiampo, F.; Shanthakumar, S.; Ricky, R.; Pattukandan Ganapathy, G. Tannery: Environmental impacts and sustainable tech-nologies. Mater. Today Proc. 2023, in press. [Google Scholar] [CrossRef]
  27. Marinina, O.; Kirsanova, N.; Nevskaya, M. Circular Economy Models in Industry: Developing a Conceptual Framework. Energies 2022, 15, 9376. [Google Scholar] [CrossRef]
  28. Shutaleva, A.; Martyushev, N.; Nikonova, Z.; Savchenko, I.; Abramova, S.; Lubimova, V.; Novgorodtseva, A. Environmental Behavior of Youth and Sustainable Development. Sustainability 2022, 14, 250. [Google Scholar] [CrossRef]
  29. Singh, R.; Khan, S.; Centobelli, P. Investigating the Interplay between Social Performance and Organisational Factors Supporting Circular Economy Practices. Sustainability 2022, 14, 16781. [Google Scholar] [CrossRef]
  30. Xu, M.; Yan, J. Energy and circular economy in sustainability transitions. Resour. Conserv. Recycl. 2021, 169, 105471. [Google Scholar] [CrossRef]
  31. Zhanbayev, R.A.; Yerkin, A.Y.; Shutaleva, A.V.; Irfan, M.; Gabelashvili, K.; Temirbaeva, G.R.; Chazova, I.Y.; Abdykadyrkyzy, R. State asset management paradigm in the quasi-public sector and environmental sustainability: Insights from the Republic of Kazakhstan. Front. Environ. Sci. 2023, 10, 1037023. [Google Scholar] [CrossRef]
  32. Singh, R.; Khan, S.; Dsilva, J. A framework for assessing critical factor for circular economy practice implementation. J. Model. Manag. 2022, 2, 1746–5664. [Google Scholar] [CrossRef]
  33. Almulhim, A.I.; Abubakar, I.R. Understanding Public Environmental Awareness and Attitudes toward Circular Economy Transition in Saudi Arabia. Sustainability 2021, 13, 10157. [Google Scholar] [CrossRef]
  34. Mavhungu, A.; Masindi, V.; Foteinis, S.; Mbaya, R.; Tekere, M.; Kortidis, I.; Chatzisymeon, E. Advocating circular economy in wastewater treatment: Struvite formation and drinking water reclamation from real municipal effluents. J. Environ. Chem. Eng. 2020, 8, 103957. [Google Scholar] [CrossRef]
  35. Stillitano, T.; Spada, E.; Iofrida, N.; Falcone, G.; De Luca, A.I. Sustainable Agri-Food Processes and Circular Economy Pathways in a Life Cycle Perspective: State of the Art of Applicative Research. Sustainability 2021, 13, 2472. [Google Scholar] [CrossRef]
  36. Silva, R.D.S.; Jalal, A.; Nascimento, R.E.N.D.; Elias, N.C.; Kawakami, K.C.; Abreu-Junior, C.H.; Oliveira, F.C.; Jani, A.D.; He, Z.; Zhao, F.; et al. Composted Sewage Sludge Application Reduces Mineral Fertilization Requirements and Improves Soil Fertility in Sugarcane Seedling Nurseries. Sustainability 2022, 14, 4684. [Google Scholar] [CrossRef]
  37. Bauerek, A.; Diatta, J.; Pierzchała, Ł.; Więckol-Ryk, A.; Krzemień, A. Development of Soil Substitutes for the Sustainable Land Reclamation of Coal Mine-Affected Areas. Sustainability 2022, 14, 4604. [Google Scholar] [CrossRef]
  38. Wang, Z.; Hao, M. Effects of Spent Drilling Fluids from Natural Gas Fields on Seed Germination and Root Development of Maize (Zea mays L.). Sustainability 2021, 13, 1510. [Google Scholar] [CrossRef]
  39. Brigida, V.S.; Zinchenko, N.N. Methane Release in Drainage Holes Ahead of Coal Face. J. Min. Sci. 2014, 50, 60–64. [Google Scholar] [CrossRef]
  40. Abdelrhman, A.A.; Gao, L.; Li, S.; Lu, J.; Song, X.; Zhang, M.; Zheng, F.; Wu, H.; Wu, X. Long-Term Application of Organic Wastes Improves Soil Carbon and Structural Properties in Dryland Affected by Coal Mining Activity. Sustainability 2021, 13, 5686. [Google Scholar] [CrossRef]
  41. Adesanya, E.; Ezu, A.; Nguyen, H.; Kinnunen, P.; Illikainen, M. Hydration of blended ladle slag and calcium aluminate cement. J. Build. Eng. 2023, 66, 105855. [Google Scholar] [CrossRef]
  42. Gujar, P.; Murali, N.; Ilango, N.K.; Santhanam, M.; Ghosh, P. Engineering interfacial strength of polymer coated hydrating cement paste by tuning calcium characteristics. Mater. Struct. 2023, 56, 65. [Google Scholar] [CrossRef]
  43. Sun, L.; Feng, Y.; Wang, D.; Qi, C.; Zeng, X. Influence of CaO on Physical and Environmental Properties of Granulated Copper Slag: Melting Behavior, Grindability and Leaching Behavior. Int. J. Environ. Res. Public Health 2022, 19, 13543. [Google Scholar] [CrossRef] [PubMed]
  44. Inthavong, P.; Rehman, K.U.; Masood, K.; Shaukat, Z.; Hnydiuk-Stefan, A.; Ray, S. Impact of organizational learning on sustainable firm performance: Intervening effect of organizational networking and innovation. Heliyon 2023, 9, e16177. [Google Scholar] [CrossRef] [PubMed]
  45. Lin, B.; Xie, Y. Positive or negative? R&D subsidies and green technology innovation: Evidence from China’s renewable ener-gy industry. Renew. Energy 2023, 213, 148–156. [Google Scholar] [CrossRef]
  46. Huang, S.; Du, C.; Jin, X.; Zhang, D.; Wen, S.; Wang, Y.; Cheng, Z.; Jia, Z. The Boundary of Porter Hypothesis: The Energy and Economic Impact of China’s Carbon Neutrality Target in 2060. Energies 2022, 15, 9162. [Google Scholar] [CrossRef]
  47. Bhagat, R.M.; Baruah, R.D.; Cacigue, S. Climate tea [Camellia sinensis (L.), O. Kuntze] production with special reference to north eastern India: A review. J. Environ. Res. Dev. 2010, 4, 1017–1028. [Google Scholar]
  48. Maritim, T.K.; Kamunya, S.M.; Mireji, P.; Wendia, C.M.; Muoki, R.C.; Cheruiyot, E.K.; Wachira, F.N. Physiological biochemical response of tea (Camellia sinensis (L.), O. Kuntze) to water-deficit stress. J. Hortic. Sci. Biotechnol. 2015, 90, 395–400. [Google Scholar] [CrossRef]
  49. Mishra, N.; Tripathi, M.K.; Tripathi, N.; Sharma, A.; Shrivastav, M.K. Changes in biochemical and antioxidant enzymes activities play significant role in drought tolerance in soybean. Int. J. Agric. Technol. 2021, 17, 1425–1446. [Google Scholar]
  50. Tiwari, P.N.; Tiwari, S.; Sapre, S.; Babbar, A.; Tripathi, N.; Tiwari, S.; Tripathi, M.K. Screening and Selection of Drought-Tolerant High-Yielding Chickpea Genotypes Based on Physio-Biochemical Selection Indices and Yield Trials. Life 2023, 13, 1405. [Google Scholar] [CrossRef]
  51. Tripathi, N.; Tripathi, M.K.; Tiwari, S.; Payasi, D.K. Molecular Breeding to Overcome Biotic Stresses in Soybean: Update. Plants 2022, 11, 1967. [Google Scholar] [CrossRef] [PubMed]
  52. Mishra, N.; Tripathi, M.K.; Tiwari, S.; Tripathi, N.; Sapre, S.; Ahuja, A.; Tiwari, S. Cell Suspension Culture and In Vitro Screening for Drought Tolerance in Soybean Using Poly-Ethylene Glycol. Plants 2021, 10, 517. [Google Scholar] [CrossRef]
  53. Akhmetov, B.Z.; Kasenova, A.Z.; Merzlyakov, O.E.; Tatarintsev, L.M. Modeling of sustainable agricultural land use on the basis of agroecological assessment of the territory. Sustain. Dev. Mt. Territ. 2023, 15, 17–26. (In Russian) [Google Scholar] [CrossRef]
  54. Ali, E.B.; Gyamfi, B.A.; Bekun, F.V.; Ozturk, I.; Nketiah, P. An empirical assessment of the tripartite nexus between environmental pollution, economic growth, and agricultural production in Sub-Saharan African countries. Environ. Sci. Pollut. Res. 2023, 30, 71007–71024. [Google Scholar] [CrossRef] [PubMed]
  55. Garima; Dhingra, A.; Centobelli, P.; Cerchione, R. Factors and Activities Considered by First Generation Agripreneurs for Agri-Business Sustainable Development: A Study of Haryana, India. Sustainability 2023, 15, 7109. [Google Scholar] [CrossRef]
  56. Yu, H.; Zahidi, I.; Fai, C.M. Reclaiming abandoned mine tailings ponds for agricultural use: Opportunities and challenges. Environ. Res. 2023, 232, 116336. [Google Scholar] [CrossRef]
  57. Sarr, A.; Soro, Y.M.; Tossa, A.K.; Diop, L. Agrivoltaic, a Synergistic Co-Location of Agricultural and Energy Production in Perpetual Mutation: A Comprehensive Review. Processes 2023, 11, 948. [Google Scholar] [CrossRef]
  58. Federal Scientific and Methodological Center for Laboratory Research and Certification of Mineral Raw Materials “VIMS” MPR of Russia 499-NPP/MS “Determination of the Elemental Composition of Rocks, Soils, Soils and Bottom Sediments Using the Atomic Emission Method Having Inductively Coupled Plasma and Mass Spectral Method Involving Inductively Coupled Plasma”. Available online: https://www.russiangost.com/p-274885-fr131201211927.aspx (accessed on 1 May 2023).
  59. Hydrochemical Institute—Roshydromet R 52.24.690-2006—“Assessment of Toxic Pollution of Watercourses and Reservoirs of Different Salinity and Areas of Mixing of River and Sea Waters by Biotesting Methods”, Rostov-on-Don. 2006. Available online: https://docs.cntd.ru/document/1200070999 (accessed on 1 May 2023).
  60. Malyukova, L.S.; Pritula, Z.V.; Kozlova, N.V.; Velikiy, A.V.; Rogozhina, E.V.; Kerimzade, V.V.; Samarina, L. Effects if calcium-containing natural fertilizer on Camellia sinensis (L.) kunize Bangladesh. J. Bot. 2021, 50, 179–187. [Google Scholar] [CrossRef]
  61. Alekseeva, T.P. Guidelines for the technology of tea cultivation in the subtropical zone of the Krasnodar Territory, Russia, Ministry of Agriculture; Russian Research Institute of mountain gardening and floriculture; Firm “Krasnodar tea”: Sochi, Russia, 1977. [Google Scholar]
  62. Bosikov, I.I.; Martyushev, N.V.; Klyuev, R.V.; Tynchenko, V.S.; Kukartsev, V.A.; Eremeeva, S.V.; Karlina, A.I. Complex Assessment of X-ray Diffraction in Crystals with Face-Centered Silicon Carbide Lattice. Crystals 2023, 13, 528. [Google Scholar] [CrossRef]
  63. Colatosti, M.; Carboni, B.; Fantuzzi, N.; Trovalusci, P. Composite material identification as micropolar continua via an optimization approach. Compos. Part C Open Access 2023, 11, 100362. [Google Scholar] [CrossRef]
  64. Ji, Z.; Shi, Y.; Da, X.; Cao, J.; Gong, Q.; Wang, Z.; Huang, X. Influence of Installation Deviation of Thrust Bearing on Oil Film Flow of 1000 MW Hydraulic Turbine Unit. Water 2023, 15, 1649. [Google Scholar] [CrossRef]
  65. Matveeva, V.A.; Bech, J.; Danilov, A.S. Prospects of nitrogen removal from mine drainage by micro-algae in northern envi-ronments. Sustain. Dev. Mt. Territ. 2023, 15, 134–142. [Google Scholar] [CrossRef]
  66. Guo, Q.; Peng, H.; Hong, B.; Yao, H.; Zhu, Y.; Ding, H.; An, N.; Hong, Y. Variations of methane stable isotopic values from an Alpine peatland on the eastern Qing-hai-Tibetan Plateau. Acta Geochim. 2021, 40, 473–483. [Google Scholar] [CrossRef]
  67. Yao, H.; Peng, H.; Hong, B.; Guo, Q.; Ding, H.; Hong, Y.; Zhu, Y.; Cai, C.; Chi, J. Environmental Controls on Multi-Scale Dy-namics of Net Carbon Dioxide Exchange From an Alpine Peatland on the Eastern Qinghai-Tibet Plateau. Front. Plant Sci. 2022, 12, 791343. [Google Scholar] [CrossRef]
  68. Dastpak, P.; Sousa, R.L.; Dias, D. Soil Erosion Due to Defective Pipes: A Hidden Hazard Beneath Our Feet. Sustainability 2023, 15, 8931. [Google Scholar] [CrossRef]
  69. Yao, H.; Peng, H.; Hong, B.; Ding, H.; Hong, Y.; Zhu, Y.; Wang, J.; Cai, C. Seasonal and diurnal variation in ecosystem respiration and environmental controls from an alpine wetland in arid northwest China. J. Plant Ecol. 2022, 15, 933–946. [Google Scholar] [CrossRef]
  70. Klyuev, R.V.; Morgoev, I.D.; Morgoeva, A.D.; Gavrina, O.A.; Martyushev, N.V.; Efremenkov, E.A.; Mengxu, Q. Methods of Forecasting Electric Energy Consumption: A Literature Review. Energies 2022, 15, 8919. [Google Scholar] [CrossRef]
  71. Bocharnikov, M.V. Bioclimatic variants of the Northeastern Transbaikalia orobiome. Sustain. Dev. Mt. Territ. 2023, 15, 143–159. (In Russian) [Google Scholar] [CrossRef]
  72. Yang, P.; Esmaeili, K.; Goodfellow, S.; Ordóñez Calderón, J.C. Mine Pit Wall Geological Mapping Using UAV-Based RGB Imaging and Unsupervised Learning. Remote Sens. 2023, 15, 1641. [Google Scholar] [CrossRef]
  73. Zaalishvili, V.; Burdzieva, O.; Kanukov, A.; Zaks, T. Eco-Geophysical and Geoecological Factors in Assessing the State of the Geological Environment Based on the Analysis of Spatial Databases of the Territory of the Republic of North Ossetia–Alania. Appl. Sci. 2022, 12, 2644. [Google Scholar] [CrossRef]
  74. Khan, N.; Ahmad, Z.; Shah, J.; Murtaza, S.; Albalwi, M.D.; Ahmad, H.; Baili, J.; Yao, S.-W. Dynamics of chaotic system based on circuit design with Ulam stability through frac-tal-fractional derivative with power law kernel. Sci. Rep. 2023, 13, 5043. [Google Scholar] [CrossRef] [PubMed]
  75. Zhao, B.; Shuai, C.; Qu, S.; Xu, M. Using Deep Learning to Fill Data Gaps in Environmental Footprint Accounting. Environ. Sci. Technol. 2022, 56, 11897–11906. [Google Scholar] [CrossRef]
  76. Abdolmaleki, M.; Consens, M.; Esmaeili, K. Ore-Waste Discrimination Using Supervised and Unsupervised Classification of Hyperspectral Images. Remote Sens. 2022, 14, 6386. [Google Scholar] [CrossRef]
  77. Naveen, N.S.; Kishore, P.S.; Pujari, S.; Silas Kumar, M.D.; Jogi, K. Optimization through Taguchi and artificial neural networks on thermal performance of a radiator using graphene-based coolant. Proc. Inst. Mech. Eng. A J. Power Energy 2022, 236, 1680–1693. [Google Scholar] [CrossRef]
  78. Szwajka, K.; Zielińska-Szwajka, J.; Trzepieciński, T. Improving the Surface Integrity of 316L Steel in the Context of Bioimplant Applications. Materials 2023, 16, 3460. [Google Scholar] [CrossRef] [PubMed]
  79. Bosikov, I.I.; Martyushev, N.V.; Klyuev, R.V.; Savchenko, I.A.; Kukartsev, V.V.; Kukartsev, V.A.; Tynchenko, Y.A. Modeling and Complex Analysis of the Topology Parameters of Ventilation Networks When Ensuring Fire Safety While Developing Coal and Gas Deposits. Fire 2023, 6, 95. [Google Scholar] [CrossRef]
  80. Golik, V.I.; Razorenov, Y.U.I.; Brigida, V.S.; Burdzieva, O.G. Mechanochemical technology of metal mining from enriching tails. Bull. Tomsk. Polytech. Univ. Geo Assets Eng. 2020, 331, 175–183. (In Russian) [Google Scholar] [CrossRef]
  81. Malozyomov, B.V.; Golik, V.I.; Brigida, V.; Kukartsev, V.V.; Tynchenko, Y.A.; Boyko, A.A.; Tynchenko, S.V. Substantiation of Drilling Parameters for Undermined Drainage Boreholes for Increasing Methane Production from Unconventional Coal-Gas Collectors. Energies 2023, 16, 4276. [Google Scholar] [CrossRef]
  82. Golik, V.I.; Klyuev, R.V.; Martyushev, N.V.; Brigida, V.; Efremenkov, E.A.; Sorokova, S.N.; Mengxu, Q. Tailings Utilization and Zinc Extraction Based on Mechanochemical Activation. Materials 2023, 16, 726. [Google Scholar] [CrossRef]
  83. Samarina, L.; Wang, S.; Malyukova, L.; Bobrovskikh, A.; Doroshkov, A.; Koninskaya, N.; Shkhalakhova, R.; Matskiv, A.; Fedorina, J.; Fizikova, A.; et al. Long-term cold, freezing and drought: Overlapping and specific regulatory mechanisms and signal transduction in tea plant (Camellia sinensis (L.) Kuntze). Front. Plant Sci. 2023, 14, 1145793. [Google Scholar] [CrossRef]
  84. Bushin, P.M. On the influence of air temperature and humidity on the yield of tea leaves in the subtropical zone of the Krasnodar Territory. Meteorology and Hydrology 1975, 3 C, 93–100. [Google Scholar]
  85. Wang, Y.; Samarina, L.; Mallano, A.I.; Tong, W.; Xia, E. Recent progress and perspectives on physiological and molecular mechanisms underlying cold tolerance of tea plants. Front. Plant Sci. 2023, 14, 1145609. [Google Scholar] [CrossRef]
  86. Malyukova, L.S.; Koninskaya, N.G.; Orlov, Y.L.; Samarina, L.S. Effects of exogenous calcium on the drought response of the tea plant (Camellia sinensis (L.) Kuntze). PeerJ 2022, 10, e13997. [Google Scholar] [CrossRef]
  87. Benti, T.; Debela, A.; Bekele, Y.; Suleman, S. Effect of seasonal variation on yield and leaf quality of tea clone (Camellia sinensis (L.) O. Kuntze) in South West Ethiopia. Heliyon 2023, 9, e14051. [Google Scholar] [CrossRef]
  88. Jayasinghe, S.L.; Kumar, L.; Hasan, M.K. Relationship between Environmental Covariates and Ceylon Tea Cultivation in Sri Lanka. Agronomy 2020, 10, 476. [Google Scholar] [CrossRef] [Green Version]
  89. Kottawa-Arachchi, J.D.; Ranatunga, M.A.B.; Amarakoon, A.M.T.; Gunasekare, M.T.K.; Attanayake, R.N.; Sharma, R.K.; Chaudhary, H.K.; Sood, V.K.; Katoch, R.; Banyal, D.K.; et al. Variation of catechin and caffeine content in exotic collection of tea [Camellia sinensis (L.) O. Kuntze] in Sri Lanka and potential implication in breeding cultivars with enhanced quality and medicinal properties. Food Chem. Adv. 2022, 1, 100108. [Google Scholar] [CrossRef]
  90. Jayasinghe, S.L.; Kumar, L. Climate Change May Imperil Tea Production in the Four Major Tea Producers According to Climate Prediction Models. Agronomy 2020, 10, 1536. [Google Scholar] [CrossRef]
  91. Benti, T.; Debela, A.; Bekele, Y.; Suleman, S. Influence of clone and nitrogen application level on quality of green tea in some selected tea (Camellia sinensis (L.) O. Kuntze) in Southwest Ethiopia. Heliyon 2022, 8, e10179. [Google Scholar] [CrossRef]
  92. Li, C.-L.; Xu, J.; Xu, H.-M.; Liu, J.; Zhang, L.-X.; Wang, Z.-K. Analysis of growth resistance mechanisms and causes in tea plants (Camellia sinensis) in high-pH regions of Northern China. Front. Nutr. 2023, 10, 1131380. [Google Scholar] [CrossRef]
  93. Song, W.Y.; Zhang, Z.B.; Shao, H.B.; Guo, X.L.; Cao, H.X.; Zhao, H.B.; Fu, Z.Y.; Hu, X.J. Relationship between calcium decoding elements and plant abiotic-stress resistance. Int. J. Biol. Sci. 2008, 4, 116–125. [Google Scholar] [CrossRef]
  94. Hetherington, A.M.; Brownlee, C. The generation of Ca2+ signals in plants. Annu. Rev. Plant Biol. 2004, 55, 401–427. [Google Scholar] [CrossRef] [Green Version]
  95. Samynathan, R.; Shanmugam, K.; Nagarajan, C.; Murugasamy, H.; Ilango, R.; Victor, J.; Shanmugam, A.; Venkidasamy, B.; Thiruvengadam, M. The effect of abiotic and biotic stresses on the production of bioactive compounds in tea (Camellia sinensis (L.) O. Kuntze). Plant Gene 2021, 27, 100316. [Google Scholar] [CrossRef]
  96. Kim, M.C. Calcium and calmodulin-mediated regulation of gene expression in plant. Mol. Plant 2009, 2, 13–21. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Saidi, Y.; Finka, A.; Muriset, M.; Bromberg, Z.; Weiss, Y.G.; Maathuis, F.J.; Goloubinoff, P. The heat shock response in moss plants is regulated by specific calcium-permeable channels in the plasma membrane. Plant Cell 2009, 21, 2829–2843. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  98. Rikhvanov, E.G.; Fedoseeva, I.V.; Pyatrikas, D.V.; Borovsky, G.B.; Voinikov, V.K. The mechanism of functioning of the calcium signaling system in plants under the action of heat stress. The role of mitochondria in this process. Plant Physiol. 2014, 61, 155–169. [Google Scholar] [CrossRef]
  99. Samarina, L.S.; Malyarovskaya, V.I.; Reim, S.; Koninskaya, N.G.; Matskiv, A.O.; Tsaturyan, G.A.; Rakhmangulov, R.S.; Shkhalakhova, R.M.; Shurkina, E.S.; Kulyan, R.V.; et al. Genetic Diversity in Diospyros Germplasm in the Western Caucasus Based on SSR and ISSR Polymorphism. Biology 2021, 10, 341. [Google Scholar] [CrossRef] [PubMed]
  100. Shu, M.Y.; Fan, M.Q. Effect of osmotic stress and calcium on membrane-lipid peroxidation and the activity of defense enzymes in fir seedling. For. Res. 2000, 4, 391–396. [Google Scholar]
  101. Upadhyaya, H.; Panda, S.K.; Dutta, B.K. CaCl2 improves post-drought recovery potential in Camellia sinensis (L.), O. Kuntze. Plant Cell Rep. 2011, 30, 495–503. [Google Scholar] [CrossRef]
Figure 1. Location of the waste collection (43.534586, 39.983163 Copyright © Google Earth).
Figure 1. Location of the waste collection (43.534586, 39.983163 Copyright © Google Earth).
Sustainability 15 11671 g001
Figure 2. Functioning “Kamensky” quarry: (a)—view of the quarry; (b)—its sludge water drains flowing into the Mzymta river (b).
Figure 2. Functioning “Kamensky” quarry: (a)—view of the quarry; (b)—its sludge water drains flowing into the Mzymta river (b).
Sustainability 15 11671 g002
Figure 3. Influence of calcium wastes on the yield of tea leaves in different meteorological conditions (ZAO “Dagomyschai” Copyright © Google Earth): (a)—a variant of using calcium wastes obtained from a quarry; (b)—a basic variant of cultivation (N250P70K90).
Figure 3. Influence of calcium wastes on the yield of tea leaves in different meteorological conditions (ZAO “Dagomyschai” Copyright © Google Earth): (a)—a variant of using calcium wastes obtained from a quarry; (b)—a basic variant of cultivation (N250P70K90).
Sustainability 15 11671 g003
Figure 4. Influence of calcium wastes on the yield of tea leaves in various meteorological conditions: (a)—variant of using calcium wastes obtained from the quarry; (b)—basic variant of cultivation (N250P70K90).
Figure 4. Influence of calcium wastes on the yield of tea leaves in various meteorological conditions: (a)—variant of using calcium wastes obtained from the quarry; (b)—basic variant of cultivation (N250P70K90).
Sustainability 15 11671 g004
Figure 5. Projection of the logarithmic dependence of the tea yield (1) onto the t—P plane in the case of the basic variant of growing over a period of 2011–2020.
Figure 5. Projection of the logarithmic dependence of the tea yield (1) onto the t—P plane in the case of the basic variant of growing over a period of 2011–2020.
Sustainability 15 11671 g005
Figure 6. Projection of the logarithmic dependence of the tea yield (2) onto the t—P plane in the case of using the calcium wastes obtained from the quarry.
Figure 6. Projection of the logarithmic dependence of the tea yield (2) onto the t—P plane in the case of using the calcium wastes obtained from the quarry.
Sustainability 15 11671 g006
Figure 7. Profile surfaces of the productivity of growing Camellia sinensis (L.) O. Kuntze when adding the calcium wastes obtained from the “Kamensky” quarry over the period of 2011–2020.
Figure 7. Profile surfaces of the productivity of growing Camellia sinensis (L.) O. Kuntze when adding the calcium wastes obtained from the “Kamensky” quarry over the period of 2011–2020.
Sustainability 15 11671 g007
Table 1. Chemical composition of the Ca-containing mining waste.
Table 1. Chemical composition of the Ca-containing mining waste.
ElementsConcentration µg/gElementsConcentration µg/gElementsConcentration µg/gElementsConcentration µg/g
Li5.76Sr709.80Tb0.15Th0.84
Be0.15Nb1.23Dy0.58U0.19
Sc1.43Mo0.07Ho0.28Na783
V3.71Sn1.84Er0.56Mg3848
Cr2.22Sb0.02Tm0.04Al3870
Co1.21Ba19.50Yb0.41K2086
Ni12.60Pr0.62Lu0.12Ti114.80
Cu1.920Nd2.52Hf0.27Mn421
Zn11.13Sm0.89Ta0.72Fe1485
Ga0.54Eu0.17Pb4.40Cd0.36
Rb7.50Gd0.89Bi0.04I0.72
As0.59
Table 2. Results of tea yield when Ca was applied to the soil as a fertilizer (ZAO “Dagomyschai”).
Table 2. Results of tea yield when Ca was applied to the soil as a fertilizer (ZAO “Dagomyschai”).
Time Period,
(Year)
Control,
Kg/ha (Centner/ha)
Control,
Standard Deviation
Yield When Ca Is Introduced in the Soil, Kg/ha (Centner/ha)With Ca,
Standard Deviation
tSPercentage Increase, %sAverage
Annual Air Temperature,
(°C/Year)
Total Precipitation,
(mm/Year)
20115860 (58.6)816373 (63.73)9312.5914.61825.5
20122610 (26.1)392563 (25.63)412.5314.11396.8
20139150 (91.5)9811,656 (116.56)15042.02715.51927.8
20146510 (65.1)748241 (82.41)8147.32715.21433.9
20152900 (29.0)354040 (40.40)4659.23915.31325.6
20174470 (44.7)515683 (56.83)5648.02714.31439.3
20184560 (45.6)586210 (62.10)6855.43616.01671.1
20194930 (49.3)676110 (61.10)7834.42415.31653.2
20203520 (35.2)383730 (37.30)4510.7615.91029.8
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Malyukova, L.S.; Martyushev, N.V.; Tynchenko, V.V.; Kondratiev, V.V.; Bukhtoyarov, V.V.; Konyukhov, V.Y.; Bashmur, K.A.; Panfilova, T.A.; Brigida, V. Circular Mining Wastes Management for Sustainable Production of Camellia sinensis (L.) O. Kuntze. Sustainability 2023, 15, 11671. https://doi.org/10.3390/su151511671

AMA Style

Malyukova LS, Martyushev NV, Tynchenko VV, Kondratiev VV, Bukhtoyarov VV, Konyukhov VY, Bashmur KA, Panfilova TA, Brigida V. Circular Mining Wastes Management for Sustainable Production of Camellia sinensis (L.) O. Kuntze. Sustainability. 2023; 15(15):11671. https://doi.org/10.3390/su151511671

Chicago/Turabian Style

Malyukova, Lyudmila S., Nikita V. Martyushev, Valeriya Valerievna Tynchenko, Viktor V. Kondratiev, Vladimir V. Bukhtoyarov, Vladimir Yu. Konyukhov, Kirill Aleksandrovich Bashmur, Tatyana Aleksandrovna Panfilova, and Vladimir Brigida. 2023. "Circular Mining Wastes Management for Sustainable Production of Camellia sinensis (L.) O. Kuntze" Sustainability 15, no. 15: 11671. https://doi.org/10.3390/su151511671

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop