Evaluation of Water Quality and Pollution Source Analysis of Meihu Reservoir
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Monitoring Layout and Testing Items
2.3. Laboratory Analysis
2.4. Data Processing
2.5. Evaluation and Survey Methods
2.5.1. The Trophic Level Index (TLI) Method
2.5.2. Pollution Source Survey Method
3. Results and Discussion
3.1. Water Quality Analysis of Reservoir
3.1.1. Water Environment Quality
3.1.2. Suitability Evaluation of Drinking Water Source
3.1.3. Evaluation of Reservoir Eutrophication
3.2. Reservoir Pollution Source Survey
3.2.1. Agricultural Non-Point-Source Pollution
3.2.2. Domestic Pollution
Domestic Sewage Pollution
Domestic Garbage Pollution
3.2.3. Livestock Pollution
4. Conclusions
- (1)
- The water quality analysis results of the Meihu Reservoir show that among the 13 evaluation indicators extracted, except for total nitrogen, the rest are in line with Class II-III standards for drinking water, and the control and management of nitrogen sources should be strengthened after reservoir management.
- (2)
- In the water source suitability evaluation of the Meihu Reservoir, all the water quality detection indicators from January to September 2023 reached the standard. Therefore, the water of the reservoir is directly used as a drinking water source, which can meet the quality standards of drinking water sources.
- (3)
- The eutrophication evaluation results of the Meihu Reservoir showed that the comprehensive nutrient state index (TLI) of the reservoir was between 30 and 50/month, indicating that the eutrophication degree of the water body was not serious, and the water body changed from mild eutrophication to moderate eutrophication.
- (4)
- The survey results of pollution sources in the Meihu Reservoir show that the main sources of pollution are non-point-source pollution such as agricultural planting, domestic pollution and livestock and poultry breeding pollution. The main sources of nitrogen in the reservoir were domestic sewage pollution > domestic garbage pollution > livestock pollution > agricultural non-point-source pollution, accounting for 50.09%, 23.99%, 14.13% and 11.80% of the total load, respectively.
Supplementary Materials
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Sampling Time | Chl-a (mg/m3) | TN (mg/L) | TP (mg/L) | SD (m) | CODMn (mg/L) | TLI |
---|---|---|---|---|---|---|
January 2021 | 7.06 | 1.44 | 0.02 | 1.80 | 1.50 | 42.68 |
February 2021 | 6.34 | 1.37 | 0.01 | 2.00 | 1.53 | 41.58 |
March 2021 | 6.42 | 1.77 | 0.02 | 2.00 | 1.65 | 43.72 |
April 2021 | 6.11 | 1.95 | 0.01 | 2.10 | 1.41 | 42.73 |
May 2021 | 7.78 | 1.46 | 0.01 | 1.50 | 1.61 | 43.01 |
June 2921 | 7.68 | 1.65 | 0.01 | 1.55 | 2.17 | 49.01 |
July 2021 | 6.54 | 3.00 | 0.01 | 2.10 | 2.00 | 44.79 |
Auguest 2021 | 6.36 | 2.90 | 0.01 | 2.00 | 1.78 | 48.91 |
September 2021 | 6.29 | 1.90 | 0.01 | 2.20 | 2.46 | 44.83 |
October 2021 | 7.75 | 1.34 | 0.01 | 1.50 | 1.79 | 43.49 |
November 2021 | 8.91 | 1.12 | 0.01 | 1.00 | 1.46 | 44.12 |
December 2021 | 7.52 | 1.10 | 0.01 | 1.50 | 1.42 | 41.80 |
January 2022 | 7.17 | 1.40 | 0.02 | 1.80 | 1.46 | 42.65 |
February 2022 | 7.23 | 1.96 | 0.01 | 1.80 | 1.46 | 43.22 |
Mach 2022 | 6.58 | 2.12 | 0.01 | 2.00 | 1.53 | 43.23 |
April 2022 | 7.21 | 2.47 | 0.02 | 1.80 | 1.43 | 44.37 |
May 2022 | 6.73 | 2.19 | 0.01 | 2.00 | 1.64 | 43.55 |
June 2022 | 7.35 | 1.67 | 0.02 | 1.80 | 1.80 | 44.18 |
July 2022 | 6.13 | 2.34 | 0.01 | 2.20 | 1.76 | 43.95 |
Auguest 2022 | 6.42 | 2.08 | 0.01 | 2.00 | 1.99 | 44.36 |
September 2022 | 6.39 | 1.88 | 0.02 | 2.00 | 2.07 | 47.72 |
October 2022 | 5.91 | 2.17 | 0.01 | 2.50 | 1.69 | 43.33 |
November 2022 | 6.85 | 1.57 | 0.01 | 1.70 | 1.84 | 43.19 |
December 2022 | 6.38 | 2.37 | 0.01 | 2.00 | 1.62 | 43.78 |
January 2023 | 6.41 | 2.46 | 0.02 | 2.00 | 1.65 | 46.99 |
February 2023 | 6.35 | 1.89 | 0.02 | 2.00 | 1.16 | 43.63 |
March 2023 | 5.83 | 1.77 | 0.01 | 2.50 | 1.83 | 46.44 |
April 2023 | 6.45 | 1.98 | 0.01 | 2.10 | 1.76 | 47.80 |
May 2023 | 7.42 | 2.16 | 0.01 | 1.80 | 1.50 | 36.63 |
June 2023 | 7.38 | 1.66 | 0.02 | 1.80 | 1.64 | 43.58 |
July 2023 | 7.75 | 1.90 | 0.01 | 1.50 | 1.68 | 44.45 |
Auguest 2023 | 7.61 | 1.37 | 0.01 | 1.60 | 1.86 | 47.21 |
September 2023 | 7.68 | 1.21 | 0.01 | 1.60 | 1.55 | 41.73 |
TLI Value | Trophic States |
---|---|
Oligotropher | |
Mesotropher | |
Eutropher | |
Light eutropher | |
Middle eutropher | |
Hyper eutropher |
Land-Use Type | R | K | LS | C | P | Erosion per Unit Area (t/hm2) | Area (km2) | Erosion Amount (t) |
---|---|---|---|---|---|---|---|---|
Cultivated land | 163.58 | 0.17 | 29.59 | 0.01 | 0.17 | 2.85 | 1.00 | 285 |
Woodland | 163.58 | 0.19 | 0.71 | 0.25 | 0.40 | 1.80 | 22.5 | 4050 |
Total | 23.5 | 4335 |
Land-Use Type | Soil Detection Value mg/kg | Sediment Concentration in Runoff mg/kg | Quantity of N and P in Storage kg/a | |||
---|---|---|---|---|---|---|
TN | TP | TN | TP | TN | TP | |
Cultivated land | 158.3 | 3.32 | 316.6 | 6.64 | 90.23 | 1.89 |
Woodland | 46.6 | 0.15 | 93.2 | 0.3 | 377.46 | 1.21 |
Total | 409.8 | 6.94 | 467.69 | 3.10 |
Pollutant Source Type | TN | TP |
---|---|---|
Agricultural non-point-source pollution | 467.69 | 3.1 |
Domestic sewage pollution | 1985.6 | 496.4 |
Domestic garbage pollution | 950.9 | 95.1 |
Livestock pollution | 560 | 240 |
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Qi, Y.; Li, C.; Zhang, K.; Sumita; Li, J.; He, Z.; Cao, X.; Yan, A. Evaluation of Water Quality and Pollution Source Analysis of Meihu Reservoir. Water 2024, 16, 2493. https://doi.org/10.3390/w16172493
Qi Y, Li C, Zhang K, Sumita, Li J, He Z, Cao X, Yan A. Evaluation of Water Quality and Pollution Source Analysis of Meihu Reservoir. Water. 2024; 16(17):2493. https://doi.org/10.3390/w16172493
Chicago/Turabian StyleQi, Yiting, Cong Li, Kai Zhang, Sumita, Jun Li, Zhengming He, Xin Cao, and Ailan Yan. 2024. "Evaluation of Water Quality and Pollution Source Analysis of Meihu Reservoir" Water 16, no. 17: 2493. https://doi.org/10.3390/w16172493