Insights from Water Quality of High Andean Springs for Human Consumption in Peru

Abstract

The headwaters of the high Andean basin in Peru accumulate water from the mist, rain, snow, and hail, and it is transported superficially and underground to low-lying areas, mostly used for drinkable purposes. The natural water in these areas might be altered due to legal and illegal mining extraction. The aim of the study was to evaluate the water quality for human consumption. Seventeen water samples were examined from Andahuaylas (A), San Jerónimo (S), Talavera (T), and Chiara (CH) districts located between 2813 and 4004 m altitude in the Andes. We used physicochemical, microbiological, and metal parameters, and the results were compared to permissible levels established by the WHO and ECA-Peru to examine samples collected in the dry and rainy seasons in 2019. Application of principal component analysis (PCA) identified areas and conditioning parameters. Extractive mining activity influences the quality of springs due to the presence of metals, especially antimony (Sb), arsenic (As), cadmium (Cd), and lead (Pb), values of which are higher than values permissible for human consumption, being higher in the dry season (p < 0.05). In addition, the presence of cations and particulate matter affects physico-chemical parameters, for example turbidity. PCA showed that parameters for water characterization are season-independent, and water quality in the springs would be conditioned by the presence of metals, especially in Andahuaylas and Talavera zones, as well as the parameters that are associated with dissolved solids in the water (turbidity and fluorides). A frequent monitoring program of springs and groundwater is recommended, with the purpose to protect water from contamination and guarantee safe water availability in low-lying and urbanized areas.

1. Introduction

Water is essential for the three dimensions of sustainable development: social, economic, and environmental [1,2,3]. The Andes concentrates more than 99% of the world’s tropical glaciers, and the highest percentage of these glaciers are housed in Peru (71%), followed by Bolivia (20%), Ecuador (4%), and Colombia-Venezuela (4%) [4]. Water in the high Andean areas is distributed in fragile ecosystems [5,6] due to the complex interaction between climate and geomorphology, which can be altered by anthropogenic activities [7].

Many developed countries have taken into account that not only the quantity of water but also its quality is essential for the development of a healthy society; therefore, different water management and quality policies have been designed [8,9], while developing countries make efforts through their governments to meet the basic conditions of water supply.

The high Andean areas of Peru are characterized by being the headwaters of basins, the place where the water is born in its natural form from the thawing of the snow-capped mountains and springs, flowing from 4500 m altitude, descending to the plain by underground infiltration, and gushing through springs. In the same way, these headwaters have metallic mining deposits, where copper, iron, gold, and silver are extracted, which are exploited in both a legal and illegal way. These mining activities release large amounts of metals from the removed soils, infiltrating by runoff due to geomorphology and rainfall [10,11], reaching the water sources for human consumption. The presence of heavy metals in water for human consumption may be a health risk to the population due to bioaccumulation, especially of arsenic, chromium, aluminum, nickel, and lead, among others [2,12,13].

Similarly, other anthropic activities such as agriculture and animal husbandry generate wastewater whose polluting components infiltrate into the underground streams of water for human consumption, which alter their quality [14,15]. Therefore, monitoring physical, chemical, biological, and microbiological parameters will allow attending to water quality for human consumption [16,17]. This is established through water quality standards (ECA) in Peru [18].

Many places in Peru, especially the urban and rural population, consume piped water from different water sources or springs, and it is transported and stored in reservoirs where calcium hypochlorite solution is added as a disinfectant. Then, it is distributed through the piping network to homes.

Water sources in rural and high Andean areas of Peru are managed by the Administrative Board of Sanitation Services (Junta Administradora de Servicios de Saneamiento—JASS), who distributes water for human consumption, irrigation, and other communal and private activities within their jurisdiction. These boards are protected by Peruvian legislation, but they do not have scope in terms of water quality. Only the health centers and municipalities analyze the level of residual chlorine, and that is the reason why the compositional status of water for human consumption is unknown [19,20,21].

In this sense, the neighboring populations are influenced by metallurgical mining activities conditioning the water quality in the different sources for human consumption. This paper evaluates the insights of the water quality of different high Andean springs in the dry and rainy seasons, where the main objectives are to: (1) know the physical, chemical, and microbiological characteristics of the water, (2) determine the level of the metals, and (3) identify relevant water quality parameters through principal component analysis (PCA).

2. Materials and Methods

2.1. Description of the Study Area

The study area includes Andahuaylas, Talavera, San Jerónimo, and Chiara districts, which are located between 2800 to 4000 m altitude in the province of Andahuaylas, Peru (Figure 1). The study was conducted during the dry and rainy season in 2019, in the Chumbao river micro-basin, with a Cwb climate according to Köppen (temperate with dry winters), with seasons characterized by intense rainfall between October and April, from 500 to 1000 mm/year (Figure 2), with a temperature between 5 and 23 °C, and an average relative humidity of 55%.

The inhabitants in the study areas are mainly engaged in agricultural and livestock activities, being approximately 20% agricultural areas, with potato and corn as the main crops. Additionally, the extractive metallurgical mining is both legal and illegal.

2.2. Sampling Points

Water sources (springs) were identified, which supply to the urban and rural areas of the districts of Andahuaylas, San Jerónimo, Talavera, and Chiara. Their coordinates are shown in

Table 1. Sampling points’ description.

District	Water Source		Coordinates		Altitude (m)	Zone
			S	W
Andahuaylas	A1	Lambrasccata-Urpaypuquio	13°38′53.9″	73°23′10.7″	3120	peri-urban
Andahuaylas	A2	Ccarancaylla	13°38′28.0″	73°24′08.9″	3270	peri-urban
Andahuaylas	A3	Pausihuaycco	13°41′07.0″	73°24′07.2″	3100	peri-urban
Andahuaylas	A4	Choccepuquio	13°39′57.1″	73°24′06.6″	2872	urban
Andahuaylas	A5	Pochccota	13°41′12.3″	73°19′52.4″	3240	peri-urban
San Jerónimo	S1	Totoral-Suylluacca	13°40′39.4″	73°20′47.0″	3102	urban
San Jerónimo	S2	Chocolinas	13°39′27.0″	73°20′57.9″	3023	urban
San Jerónimo	S3	Chaccrapata-Huasipara	13°38′28.7″	73°21′57.2″	3146	peri-urban
San Jerónimo	S4	Ccotamarca	13°38′28.8″	73°22′04.9″	3178	peri-urban
Talavera	T1	Chihuampata	13°38′42.3″	73°26′57.9″	2805	urban
Talavera	T2	Pachapuquio-Virgen del Carmen	13°38′51.6″	73°25′18.8″	2922	urban
Talavera	T3	Aranjuez	13°40′03.6″	73°25′23.0″	2865	urban
Talavera	T4	Santa Rosa	13°39′02.6″	73°26′29.3″	2813	urban
Chiara	CH1	C.P. Chiara	13°54′10.1″	73°39′06.3″	3190	rural
Chiara	CH2	C.P. Chiara	13°53′48.3″	73°39′34.4″	3170	rural
Chiara	CH3	C.P. Chiara	13°52′06.9″	73°39′47.5″	3405	rural
Chiara	CH4	C.P. Chiara	13°51′32.6″	73°36′08.2″	4004	rural

, and permission for sampling was requested from representatives of JASS.

2.3. Determination of Chemical and Physico-Chemical Parameters

Spring water samples were taken from the sampling points (Table 1), following protocol 1060 in Standard Methods for the Examination of Water and Wastewater [22], a description of which is shown in

Table 2. Description of sampling for laboratory analysis.

Parameter	Packaging Material	Maximum Period of Conservation	Sample Fraction	Volume (mL)
Color	PEAD	24 h	Total	100
Fluoride	PEAD	24 h, no preservation	Total	100
Hardness	PEAD	24 h (4 °C), no preservation	Total	100
Total Coliforms and E. coli	Willpack bags	24 h (4 °C), no preservation	Total	100
Metals	PEAD	Maximum 48 h filtered (4 °C), acidifying with 2 mL HNO3/L	Total	300

Source: APHA [22].

.

Water analyses were carried out in the field and in the laboratory with protocols found in the Standard Methods for the Examination of Water and Wastewater [22] and multi-parameter use manuals (

Table 3. Analysis methods for water quality parameters.

Parameter	Method	Unit	Reference	Place
Turbidity	Selective electrode	NTU	User’s manual, Hanna Multiparameter-HI 9828	On field
True color	Spectrometric-Pt-CO method	TCU	2120-C, Standard Methods [22]	In laboratory
pH	Selective electrode	---	User’s manual, Hanna Multiparameter-HI 9828	On field
Dissolved oxygen (DO)	Selective electrode	mg O2/L	User’s manual, Hanna Multiparameter-HI 9828	On field
Hardness	EDTA titration	mg CO32−/L	2340-C, Standard Methods [22]	In laboratory
Conductivity	Selective electrode	µS/cm	User’s manual, Hanna Multiparameter-HI 9828	On field
TDS (Total dissolved solids)	Selective electrode	mg/L	User’s manual, Hanna Multiparameter-HI 9828	On field
Fluoride	SPADNS colorimetric method	mg F−/L	4500-D, Standard Methods [22]	In laboratory
E. coli, Total coliforms	Colorimetric	MPN/100 mL	Colilert-18/Quanti-Tray Method 9308-2:2014 [23]	In laboratory

).

For the quantification of metals, standard curves were prepared with solutions of aluminum (Al), arsenic (As), boron (B), barium (Ba), cadmium (Cd), chromium (Cr), copper (Cu), iron (Fe), manganese (Mn), calcium (Ca), potassium (K), sodium (Na), magnesium (Mg), cobalt (Co), nickel (Ni), lead (Pb), and antimony (Sb) (Calibration STD, SCP Science), calibrated in an Inductively Coupled Plasma–Optical Emission Spectrometer, ICP-OES 9820 Shimadzu, with a regression coefficient, R², of higher than 0.995 for all cases. The water readings were performed in axial mode, in quadruplicate, with rinses between samples of 30 s at 60 rpm, and gas flow of 10 L/min with plasma exposure of 30 s.

2.4. Analysis of Data

Comparison between water sources within a season was carried out through a paired Student’s t-test, and between seasons, an ANOVA and Tukey test at 5% was applied. Pearson’s correlation was applied, which resulted in a principal component analysis (PCA). Sampling locations and contour representation of the parameters in the study area were performed in ArcGIS 10 (Esri, Redlands, CA, USA).

3. Results and Discussion

One of the most important aspects of water for human consumption is color, which is associated with inorganic and organic substances dissolved and in suspension in water. Consequently, it is directly related to human health and well-being [24,25]. The results of color and turbidity are shown in

Table 4. Values of water quality parameters for human consumption.

Parameters	WHO [14]	ECA ***	Dry Season					Rainy Season					p **
			Max	Min	±	CV (%)	p *	Max	Min	±	CV (%)	p *
Color	15	15	19.00	0.00	5.11	179.79	<0.05	17.67	0.00	5.93	160.86	<0.05	0.649
pH	6.5–8.0	6.5–8.0	8.32	6.71	0.46	6.13	<0.05	8.53	7.33	0.35	4.36	<0.05	0.973
Conductivity	---	1500	655.50	63.00	176.05	55.50	<0.05	578.25	53.25	148.19	57.71	<0.05	0.018
TDS	1000	1000	327.25	32.50	87.80	55.18	<0.05	290.00	25.50	74.54	57.81	<0.05	0.018
Turbidity	0.5	5	24.58	0.00	7.60	271.16	<0.05	24.33	0.00	6.03	341.27	<0.05	0.641
Hardness	100–300	500	355.80	77.70	70.15	26.27	<0.05	314.20	66.10	60.99	26.59	<0.05	0.000
DO	---	6	7.03	2.54	1.39	30.33	<0.05	7.37	2.05	1.46	33.76	<0.05	0.291
Fluoride	1.5	1.5	0.81	0.00	0.24	71.99	<0.05	0.58	0.02	0.15	48.04	<0.05	0.081

* Evaluated by Tukey’s test at 5% significance. ** Between seasons, evaluated by t-test for paired samples at 5% significance. *** Water quality, Category 1, Subcategory A1 [18].

: a maximum value of 19.0 TCU and a minimum of 0.0 TCU were observed in the dry season (p < 0.05), while in the rainy season, a maximum of 17.67 TCU (p < 0.05). In Figure 3, it is observed that the sampling points from Chiara (CH), Talavera (T), and Andahuaylas (A) present lower color values for both seasons, even reaching values of 0.0 TCU, while the water sources from San Jerónimo reported slightly high values above 5.0 TCU; however, most of the points for both seasons (16 sources in dry season and 15 sources in rainy season) presented values within the WHO [16] and ECA-Perú [18] recommended guidelines.

The study area with an altitude higher than 3500 m is largely covered by ichu (Stipa ichu) and a few native plants, such as puna muña. These plants supply dissolved organic compounds, for instance humic substances [26], which directly influence water color, and values of 0.0 TCU are reported due to the low floral density of the study areas. On the other hand, the color of the water is also influenced by the presence of metals, such as iron, and the geology of the areas of the study show high levels of rocks with iron content [10,27,28].

The pH of water in the rainy season had a maximum of 8.53 and a minimum of 7.33 (p < 0.05), while in the dry season, a maximum of 8.32 and a minimum of 6.71 (p < 0.05) were reported (Table 4). There was no significant difference in both seasons (p = 0.973). On the other hand, in the Chiara area (CH), pH values were higher than 8.0 in both seasons (Figure 4a,b). This could be influenced by metallurgical mining extraction at the head of the basin, where rocks have high carbonate content, as evidenced by the high hardness values (Table 4). In the springs of the districts of Andahuaylas, San Jerónimo, and Talavera, the pH levels are within the limits established by the WHO [14] and ECA-Peru [18].

The variation in pH between points could be due to the fact that the groundwater passes through different mantles or water tables, dissolving mainly inorganic material, such as carbonates and salts [29,30], which confer alkaline pH, especially in the rainy season.

Regarding the conductivity of water, which measures the total content of ionizable salts, which allows flow of electric current through water [28,31,32], water sources present values in the range from 63.00 to 655.50 µS/cm in the dry season (p < 0.05) and from 53.25 to 578.25 µS/cm in the rainy season (p < 0.05) (Table 4), observing significant differences between seasons (p = 0.018) (Figure 4c,d), and some points exceed the values recommended by the ECA-Peru [18].

TDS is an indicator that allows knowing the quality of groundwater due to changes in the chemical composition [30,32]; thus, TDS values were reported as 327.25 and 32.50 mg/L in the dry season (p < 0.05) and 290.0 and 25.50 mg/L in the rainy season, as maximum and minimum values respectively (p < 0.05), observing significant differences between seasons (p = 0.018) (Table 4). The Chiara area reported lower TDS values for both seasons (Figure 5a,b), and it shows a decrease in the rainy season, being a characteristic behavior due to the increase in solvent (water) [33,34]. However, in all sampling points, the TDS values do not exceed the limits recommended by the WHO [14] and ECA-Peru [18].

The turbidity of water for human consumption is attributed to the content of clays, silt, organic matter, and suspended microorganisms, whose presence in high concentrations affects water quality [28]. It was observed that the majority of springs presented low values in reference to what is recommended by the WHO [16] and ECA-Peru [16] (Figure 5c,d), showing no significant difference between seasons (p = 0.641); however, it was observed that at point A2 in the dry season, and T2 and A3 in the rainy season, high values were reported, reaching a maximum of 24.58 and 24.33 NTU, respectively (Table 4). The low turbidity values are due to the fact that the groundwater that sprouts in springs does not have urban anthropic interaction, and to the pressure of the water table, which allows the precipitation of suspended solids [25,35].

Calcium and magnesium carbonate in water represent the total hardness, and these vary with the geology of the area, considerably influencing the taste of the water, although the taste threshold varies between people [27,30,36]. It was found that the springs have a hardness content that varies from 77.70 to 355.80 mg/L in the dry season (p < 0.05), and from 66.10 to 314.20 mg/L in the rainy season (p < 0.05), showing a significant difference between seasons (p = 0.000). It was observed that Talavera and Andahuaylas areas presented a greater number of sources with high hardness values, while the Chiara springs presented greater variability (Figure 5e,f), however, they are within the permissible levels by the ECA-Peru, and slightly higher than those established by the WHO [16].

In the same way, the level of dissolved oxygen (DO) was found in the range from 2.54 to 7.03 mg/L in the dry season, and from 2.05 to 7.37 mg/L in the rainy season, with no significant differences between seasons (p = 0.291) (Table 4). Although this parameter is not considered critical in terms of water quality for human consumption [16,18], low DO values would be an indicator of contamination due to leachate and runoff in groundwater [35,37], and in natural waters these should be above 5.0 mg/L.

Regarding the fluorides level, it was observed that it is in the range from 0.00 to 0.81 mg/L in the dry season (p < 0.05), and from 0.02 to 0.58 mg/L in the rainy season (p < 0.05), and it shows no significant differences between seasons (p = 0.081) (Table 4). The levels found do not exceed the limits established by the WHO [16] and ECA-Peru [16], and it was observed that fluoride levels increase in the dry season (Figure 6) due to evaporation, while the opposite happens in the rainy season, due to dilution. A similar behavior was reported by Amenu et al. [1] and Davraz et al. [38].

High levels of fluoride in the water indicate anthropic contamination, which can cause staining of the teeth, osteosclerosis, anemia, and hypothyroidism [39,40], while lower concentrations are due to sedimentary rocks [41,42]. This content favors dental and bone health of the population [16,43].

Regarding metals, it was observed that As, Sb, and Pb were found above the permissible levels by WHO [16] and ECA-Peru [18] for both seasons, while Cd exceeded the levels in the dry season, and in the A5 and CH2 points in the rainy season (

Table 5. Description of the metal levels in water sources.

Metal (mg/L)	WHO [14]	ECA *	Excess Metals		Dry Season			Rainy Season			p ****
			Dry Season	Rainy Season	Max	Min	p ***	Max	Min	p *
Al	0.900	0.900	None	None	0.204	0.033	<0.05	0.163	0.007	<0.05	0.000
Sb	0.020	0.020	All	All	0.952	0.194	<0.05	0.813	0.053	<0.05	0.000
As	0.010	0.010	All	All	0.251	0.034	<0.05	0.194	0.003	<0.05	0.000
Ba	1.300	0.700	None	None	0.086	0.001	<0.05	0.104	0.000	<0.05	0.005
B	2.400	2.400	None	None	0.019	0.000	<0.05	0.011	0.000	<0.05	0.029
Cd	0.003	0.003	All	All except A5 and CH2	0.042	0.006	<0.05	0.031	0.001	<0.05	0.000
Cu	2.000	2.000	None	None	0.066	0.010	<0.05	0.024	0.002	<0.05	0.000
Cr	0.050	0.050	Only T1	None	0.054	0.007	<0.05	0.037	0.000	<0.05	0.000
Fe	2.000	0.300	None	None	0.076	0.001	<0.05	0.081	0.004	<0.05	0.984
Mn	0.400	0.400	None	None	0.019	0.002	<0.05	0.014	0.002	<0.05	0.001
Ni	0.070	0.070	Only T1, T2, T4	Only T1	0.100	0.025	<0.05	0.080	0.000	<0.05	0.000
Pb	0.010	0.010	All	All	0.271	0.039	<0.05	0.203	0.010	<0.05	0.000
Co **	---	1.000	None	None	0.123	0.012	<0.05	0.121	0.006	<0.05	0.048
Na	200	---	None	None	0.696	0.105	<0.05	0.807	0.178	<0.05	0.001
Mg	150	---	None	None	9.054	1.064	<0.05	9.994	1.284	<0.05	0.722
K	30	---	None	None	4.519	0.127	<0.05	4.522	0.197	<0.05	0.000
Ca	200	---	None	None	4.076	0.305	<0.05	2.696	0.279	<0.05	0.118

* Water quality, Category 1, Subcategory A1 [18]. ** Category 3: Animal Drink [18]. *** Evaluated by Tukey’s test at 5% significance. **** Between seasons, evaluated by t-test for paired samples at 5% significance.

). The main sources of metal present in water are associated with erosion and removal of soils due to mining [44,45].

The intake of metals through water above its permissible levels can cause health problems [13,46,47]. The intake of Pb, for example, can generate cancer risk, mental retardation in children, hypertension in pregnant women, and problems in peripheral nerve function [2,48], which is a determinant in maternal blood [13].

High levels of As have become a global public and environmental health problem since groundwater is naturally contaminated with As throughout the world [49], being responsible for skin problems, lung, bladder, liver, and uterus carcinogens, even at levels between 5 and 10 ug/L in drinking water [49,50,51].

The presence of Cd at higher levels than recommended generates carcinogenic risks [2], and produces symptoms such as nausea, vomiting, respiratory difficulties, cramps, and loss of consciousness [49]. Regarding Sb, although it is not bio-accumulative, high levels report risks of lung cancer and skin problems [52,53].

Mg reported higher content in water sources (Figure 7), followed by Ca, K, and Na in both seasons, although these are within the limits established by the WHO [16] and ECA-Peru [18] (Table 5), and the same was seen for Al, Ba, B, Cu, Cr, Fe, Mn, and Co in both seasons. Fe, Mg, and Ca showed no significant difference between seasons (p > 0.05). Regarding Ni in dry seasons, it was observed that points T1, T2, and T4, corresponding to the Talavera district, reported higher recommended values, and the same for Cr in T1 (Table 5).

Water sources A4 and A5 in the Andahuaylas district, S2 in San Jerónimo, and T1 and T3 in Talavera for the dry season reported TC levels above those recommended by ECA-Peru [18] (

Table 6. Total coliforms (TC) and E. coli in water sources (MPN/100 mL).

Water Sources	Dry Season		Rainy Season
	TC	E. coli	TC	E. coli
A1	5.2	<1	4.1	<1
A2	27.5	<1	4.1	<1
A3	1	<1	<1	<1
A4	344.1	<1	12.1	<1
A5	248.1	1	71.7	<1
S1	<1	<1	6.3	<1
S2	214.2	1	96	<1
S3	1	<1	5.1	<1
S4	12.1	<1	17.5	<1
T1	2419.6	5.2	2419.6	7.5
T2	13.4	<1	<1	<1
T3	866.4	101.9	1299.7	<1
T4	<1	<1	<1	<1
CH1	1	<1	<1	<1
CH2	<1	<1	61.3	<1
CH3	<1	<1	<1	<1
CH4	3.1	<1	10.9	<1
WHO	0	0	0	0
ECA *	<0.50	0	<0.50	0

* Water quality, Category 1, Subcategory A1 [18].

). The same was seen for sources A5, S4, T1, T3, and CH2 in the rainy season; however, according to WHO [16], all water sources exceed the permissible level for water for human consumption (0.0 MPN/100 mL). Regarding E. coli, it was observed that all the points present <1 MPN/100 mL, with the sources T3 and T1 being more contaminated in the dry season, and T1 in the rainy season (Table 6). In that sense, all sources exceed the admissible levels recommended by the WHO [16] and ECA-Peru [18].

Pearson’s correlation evaluation (Rs) of the 27 water quality parameters, of the water sources for the dry season, indicated that the majority present correlation (at 5% significance), especially between metals, conductivity, and TDS (Rs > 0.7), and this allowed to perform a principal component analysis (PCA) [30,54].

The PCA showed 3 principal components (PC), indicating 80.0% of the variability (Figure 8a), and the commonalities were greater than 0.5 in all cases, which suggests that this model would allow for explaining the variability of the parameters. The factor loadings are shown in

Table 7. Rotated component matrix by season.

Parameters	Dry Season Components			Rainy Season Components
	1	2	3	1	2	3
pH	0.281	0.655	0.399	0.743	−0.516	0.079
C	−0.965	−0.133	−0.086	−0.738	−0.076	−0.421
TDS	−0.964	−0.134	−0.082	−0.736	−0.090	−0.435
DO	0.475	0.677	0.040	0.208	−0.843	−0.038
Color	−0.180	0.116	−0.781	−0.008	−0.292	0.047
H	−0.509	−0.122	0.560	−0.405	−0.352	−0.480
F-	0.056	−0.210	0.607	0.196	−0.758	−0.385
T	−0.264	0.760	−0.292	0.201	0.176	−0.516
TC	−0.538	0.224	−0.296	−0.178	−0.169	0.053
E. coli	−0.525	0.569	−0.055	−0.451	−0.616	0.041
Mg	0.225	−0.828	−0.127	0.259	0.370	−0.699
Ca	−0.975	−0.164	0.033	−0.960	0.127	−0.070
K	−0.952	0.064	−0.165	−0.912	0.092	−0.026
Na	−0.491	0.581	0.000	−0.084	−0.541	−0.468
Sb	−0.985	−0.061	0.010	−0.983	0.072	0.020
AS	−0.957	−0.173	−0.066	−0.929	0.077	−0.057
Pb	−0.984	−0.007	0.045	−0.974	0.037	0.038
Al	−0.951	−0.149	−0.069	−0.963	0.080	−0.046
Ba	−0.749	−0.293	−0.013	−0.639	0.266	−0.286
Ni	−0.925	0.045	0.252	−0.963	0.025	0.031
Co	−0.979	−0.008	−0.008	−0.950	−0.028	−0.002
Cu	−0.660	0.372	0.566	−0.967	0.045	0.045
Cr	−0.954	−0.004	0.127	−0.944	−0.065	0.080
Cd	−0.975	−0.128	−0.006	−0.969	−0.038	−0.013
Fe	−0.919	0.083	−0.047	−0.559	−0.509	0.380
Mn	−0.980	−0.033	0.065	−0.772	−0.318	0.287
B	−0.784	0.252	−0.135	−0.434	0.000	0.632

Where: C, conductivity, H, hardness, T, turbidity, TC, Total coliforms.

, and the following classification criterion was considered: strong > 0.75, moderate 0.50–0.74, and weak 0.30–0.49 [34].

The PC1 explained 59.61% of the variability and had strong loadings for metals (except for Mg, Na, and Cu), Conductivity (C), and TDS (Table 7), and this is an indication that water for human consumption in high Andean water sources is influenced by the presence of cations. This could be attributed to the fact that the area is influenced by mining, with the leaching of the soils, which is confirmed by the strong charge of conductivity and TDS [55]. The fact that most of the charges are negative is an indication that sorption–desorption processes are influenced by the presence of cations [34,56].

The PC2 explained 12.49% of variability, and its strong positive charge is attributed to turbidity, which would be due to the removal of soils in the high areas, due to mining activity, which infiltrates into the subsoil [42]. Likewise, Mg shows a strong negative charge, and this would evidence soil erosion [57], which influences the sorption–desorption processes in the chemical balance of carbonates [57,58]. PC3 shows a strong positive charge for color, which is an aesthetic attribute of water [1].

The relationship shown in Figure 8b,c with respect to PC1 allows for observing that the water sources of Talavera, Andahuaylas (A1, A2, A3), and S2 present mostly metals in their composition, except for Mg, although these could be outside or within the limits established by the WHO [16] and ECA-Peru [18], and would also be conditioned by their levels of TDS, E. coli, CT, color, and hardness, while the water sources of Chiara (CH), Andahuaylas (A2, A5), and San Jerónimo (S1, S3, S4) would be conditioned by having high levels of pH, and DO. With respect to PC2, the water sources located in the upper part of the horizontal line in Figure 8b,c would be conditioned by turbidity, and the sources below the horizontal line would predominate in Mg.

The PCA in the rainy season allowed to identify 3 PCs (Figure 8d), representing 71.2% of the variability, whose factor loadings are shown in Table 7. PC1 explained 51.8% of the variability and had a strong charge for metals (except for Mg, Na, Ba, Fe, and B), pH, Conductivity (C), and TDS (Table 7), being an indication that water for human consumption in high Andean water sources is influenced by the presence of cations, which is confirmed by the pH load, Conductivity (C), and TDS. This behavior is due to the presence of extractive mining in the high Andean zones, which remove the soils and rocks, and due to the effect of the rain leach cations and salts, which infiltrate into the water table.

However, these are in a continuous sorption–desorption process, so the values of the charges are negative [34,56]. Regarding PC2, it was observed that the level of DO and fluorides is influenced.

In the rainy season, the water sources from Talavera (T) and A1, A4, and S2 mainly present metals in their composition, except for Mg, and are conditioned by the levels of TDS, hardness, conductivity, E. coli, and CT (Figure 8e,f), while the water sources of Chiara (CH), S1, S3, S4, A2, and A5 would be conditioned to the levels of Mg, turbidity, pH, fluorides, and DO.

In general, the water sources from Andahuaylas and Talavera are mainly conditioned by the presence of metals, while the sources from Chiara and San Jerónimo would be conditioned by the presence of Mg and the physicochemical parameters of the water, the latter of which is within the permissible limits recommended by the WHO [16] and ECA-Peru [18].

However, these water sources receive little attention in terms of monitoring water quality parameters, performing only microbiological controls (total and thermotolerant coliforms) and residual chlorine, due to the number of cases of diarrhea and gastrointestinal infections, especially among children in the areas of influence [59,60]. On the other hand, the presence of microorganisms such as diatoms, copepods, and native algae has been observed in the springs of the study areas, and these are a good biological indicator of water quality in its natural state [10]. The results suggest that the latency limits for these biological markers in the water have not yet been considerably exceeded, so that the water of the high Andean springs of Apurimac would still maintain its natural qualities, except for the excessive level of heavy metals present.

4. Conclusions

It has been observed that the high Andean water sources (springs) in Andahuaylas, San Jerónimo, Talavera, and Chiara districts, located between 2805 and 4004 m altitude, would be influenced by the presence of extractive mining activity in the headwaters of the basin, due to the presence of metals (Sb, As, Cd, Pb) above the permissible levels for water for human consumption, with a greater impact during the dry season (p < 0.05). In the same way, it would affect the physicochemical parameters that are related to the presence of cations and particulate matter. The PCA evaluated for the dry and rainy seasons showed that the water sources would be conditioned by the presence of metals, especially in the zones of Andahuaylas and Talavera, as well as the parameters that imply dissolved solids in the water (turbidity and fluorides).

The control of legal and illegal mining activities would allow for reducing the levels of heavy metals in the water, considering places of disposal of segregated materials and use of rational water for mineral leaching, implementing dynamic monitoring of springs and groundwater, which would allow safe water to be available in low-lying and urbanized zones.