Greenhouse Gases Trade-Off from Ponds: An Overview of Emission Process and Their Driving Factors
Abstract
:1. Introduction
2. Methodology Adopted
3. Ponds in the Landscape
4. Mechanism of Greenhouse Gas Emission from Ponds
4.1. Methane Emission from Ponds
4.2. Carbon Dioxide Emissions from Ponds
4.3. Nitrous Oxide Emissions from Ponds
5. Methods for Greenhouse Gas Emissions Measurement from Ponds
5.1. Floating Chamber Method
5.2. Headspace Sampling
5.3. Bubbles Trapped Using Inverted Funnels
6. Factors Affecting Greenhouse Gas Emissions from Ponds
6.1. Effect of Water pH on GHG Emissions
6.1.1. Methane
6.1.2. Carbon Dioxide
6.1.3. Nitrous Oxide
6.2. Effect of Temperature on GHG
6.2.1. Methane
6.2.2. Carbon Dioxide
6.2.3. Nitrous Oxide
6.3. Effect of Nutrients Concentration on GHG Emissions
6.3.1. Methane
6.3.2. Carbon Dioxide
6.3.3. Nitrous Oxide
6.4. Effect of Eutrophication on CH4, CO2, and N2O Emission
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Reference | Location Detail | Sampling Methodology | Methane | Carbon Dioxide | Nitrous Oxide | Remarks |
---|---|---|---|---|---|---|
Selvam et al. [15] | Different water bodies of Tamil Nadu, Andhra Pradesh, and Kerala | Floating chamber | 0.1–52.1 mmol m−2 day−1 | −28.2 to 262.4 mmol m−2 day−1 | - | In this study, 45 different water bodies, such as ponds, open wells, lakes, and channels were studied |
Audet et al. [28] | Silkeborg, Denmark | Headspace sampling | 44 µg L−1 | 1938 µg L−1 | 0.8 µg L−1 | In this study, authors reported the mean concentration of GHG emissions from urban ponds |
Peacock et al. [29] | Uppsala, Sweden | Floating chamber | 0.1–44.3 g CH4 m−2 year−1 | −36 to 4421 g CO2 m−2 year−1 | - | Small constructed ponds and ditches |
Peacock et al. [30] | Uppsala, Sweden | Headspace method | 0.4–174 mg CH4 m−2 year−1 | −187 to 3449 mg CH4 m−2 year−1 | - | Small urban ponds |
Pickard et al. [31] | Bengaluru, India | Headspace sampling | 0.33–3413 ton CH4-C evasion year−1 | 24–5711 CO2-C evasion tone year−1 | - | Inland polluted urban lakes near industrial areas |
Webb et al. [32] | Saskatchewan, Canada | Headspace method | 0.14–92 mmol m−2 day−1 | 21–466 mmol m−2 d−1 | - | Small agricultural farm reservoir |
Natchimthu et al. [33] | Linkoping University, Sweden | Floating chamber | 3.3–15.1 mmol m−2 day−1 | −9.8 to 16.0 mmol m−2 day−1 | - | Freshwater shallow pond |
Singh et al. [34] | Ujjain City, India | Floating chamber | - | - | 0.00–0.51 mg m−2 day−1 | Urban pond receiving domestic and agricultural runoff |
Wang et al. [35] | Beijing, China | Headspace sampling | 0.08–8.3 mmol m−2 day−1 | −24.2 to 37.9 mmol m−2 day−1 | - | Urban inland water bodies such as lakes |
Schrier-Uijl et al. [36] | Different peats drainage ditches of Netherlands | Floating method | 33.7 mg m−2 h−1 | 129.1 mg m−2 h−1 | - | In this study, mean CH4 and CO2 emissions were reported from shallow freshwater bodies |
Ortega et al. [21] | Berlin, Germany | Floating chamber | 385 Mg CH4 year−1 | - | - | Emissions from urban ponds |
Grinham et al. [16] | Queensland, Australia | Floating chamber | 1.6 Mt CO2 eq. year-1 | - | - | Small artificial ponds, lakes, etc., were investigated |
Wik et al. [37] | 733 lakes and ponds of Northern regional | - | 1.0 Tg CH4 year−1 | - | - | Findings for Beaver ponds |
3.1 Tg CH4 year−1 | - | - | Results of peatland ponds | |||
16.5 Tg CH4 year−1 | - | - | Total CH4 emissions from Beaver ponds, Peatland ponds, Glacial/post-glacial lakes, and Thermokarst bodies | |||
Zhao et al. [38] | Anhui Province, China | Eddy covariance | 1.05–1.66 µg m−2 s−1 | 0.011–0.024 mg m−2 s−1 | - | Two small fish ponds |
Factors | Correlation with CH4 Flux (References) | Correlation with CO2 Flux (References) | Correlation with N2O Flux (References) |
---|---|---|---|
Water temperature | Increased exponentially up to certain limit [22,28,29,33,35,47,48,50,51] | Positive [28,29,35] | Positive [28,50,52] |
No correlation [12,53] | No correlation [47,48] | - | |
- | Negative [33] | Negative [54] | |
Nitrate concentration | No impact [51] | Positive [55] | Positive [51,55,56] |
Negative [28,57] | - | - | |
Dissolved organic matter (DOM) | Positive [5,30,35,40,56,58] | Positive [5,53,58] | Positive correlation [5,59] |
Water pH | - | Positive [5,60] | Positive [59] |
Non-significant correlation [40,46] | - | Non-clear correlation [52] | |
- | Negative [4,5,30,40,46] | Negative [56] | |
Dissolved oxygen (DO) | - | - | Positive [46,59] |
No correlation [46] | - | - | |
Negative [28,29,40,56] | Negative [40,46] | Negative [56] | |
Surface area of pond | Negative [5,29] | - | Positive [61] |
Total nitrogen (TN) | - | Positive [46] | Positive [52,56] |
Total phosphorus (TP) | Positive [29,30,46,57] | Positive [46] | Positive [46] |
Sulphate | Negative [12,28] | - | - |
Eutrophication | Enhanced CH4 flux [22,49,62,63] | Positive [62] | - |
- | Negative [63] | Negative [62] |
Location of the Study/Reference | Range of Water pH | Remarks |
---|---|---|
Uttar Pradesh, India [64] | 7.2–8.2 | Out of 12 studied ponds, only at 1 location, the pond water pH was 9.2 (No GHG) |
Chhattisgarh, India [65] | 6.93–7.55 | The authors investigated the water quality of 10 ponds (No GHG) |
Bihar, India [66] | 6.35–7.57 | Pond water quality of two districts was investigated in this study. (No GHG) |
Tamil Nadu, India [67] | 7.25–8.85 | Out of a total of 17 investigated temple ponds, only 2 ponds (pH 9.07 and 8.42) had a pH above 8. (No GHG) |
West Bengal, India [68] | 7.5–7.9 | In this study, water quality of both rural and urban ponds was conducted. (No GHG) |
Balochistan province, Pakistan [69] | 7.11–7.96 | This study conducted the assessment of the water quality of fish farming ponds of four districts of Balochistan province, Pakistan. (No GHG) |
Dhrabi Watershed, Pakistan [70] | 7.2 | The study was conducted in Dhrabi reservoir of Pakistan. |
Ontario, Canada [71] | 5.77–7.74 | In this study, water quality of 51 natural ponds was investigated. |
National Capital Region of Canada, Canada [72] | 5.77–9.23 | In this study, water quality of 10 natural ponds and 40 stormwater constructed ponds was investigated. The pH of all-natural ponds was below 8 while higher pH was observed in stormwater constructed ponds. |
Patuakhali district, coastal watershed, Bangladesh [73] | 7.6–7.9 | Water quality of coastal ponds during pre-monsoon, monsoon, and post-monsoon was reported. |
Silkeborg, Denmark [28] | 7.5–8.0 | The water quality of four urban ponds was reported in this study. |
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Malyan, S.K.; Singh, O.; Kumar, A.; Anand, G.; Singh, R.; Singh, S.; Yu, Z.; Kumar, J.; Fagodiya, R.K.; Kumar, A. Greenhouse Gases Trade-Off from Ponds: An Overview of Emission Process and Their Driving Factors. Water 2022, 14, 970. https://doi.org/10.3390/w14060970
Malyan SK, Singh O, Kumar A, Anand G, Singh R, Singh S, Yu Z, Kumar J, Fagodiya RK, Kumar A. Greenhouse Gases Trade-Off from Ponds: An Overview of Emission Process and Their Driving Factors. Water. 2022; 14(6):970. https://doi.org/10.3390/w14060970
Chicago/Turabian StyleMalyan, Sandeep K., Omkar Singh, Amit Kumar, Gagan Anand, Rajesh Singh, Sandeep Singh, Zhiguo Yu, Jhlaesh Kumar, Ram K. Fagodiya, and Amit Kumar. 2022. "Greenhouse Gases Trade-Off from Ponds: An Overview of Emission Process and Their Driving Factors" Water 14, no. 6: 970. https://doi.org/10.3390/w14060970