Evaluation of the comprehensive pollution control effectiveness in the Zouping section of the Xiaoqing River Basin based on water quality targets

WANG Haofang; DAI Chenyang; ZHANG Yike; WANG Mingdong; ZHANG Jincun

doi:10.11975/j.issn.1002-6819.202404135

Volume 40 Issue 21

Oct. 2024

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Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE) > 2024 > 40(21): 212-220. > DOI: 10.11975/j.issn.1002-6819.202404135

WANG Haofang, DAI Chenyang, ZHANG Yike, et al. Evaluation of the comprehensive pollution control effectiveness in the Zouping section of the Xiaoqing River Basin based on water quality targets[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2024, 40(21): 212-220. DOI: 10.11975/j.issn.1002-6819.202404135

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Evaluation of the comprehensive pollution control effectiveness in the Zouping section of the Xiaoqing River Basin based on water quality targets

1.
Department of Civil Engineering and Water Conservancy, Shandong University, Jinan 250061, China
2.
Power China Shandong Engineering Corporation Limited, Jinan 250098, China

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Received Date: April 18, 2024
Revised Date: August 26, 2024
Available Online: October 08, 2024

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Abstract

Abstract

Comprehensive pollution control is one of effective means to improve water environment and water quality, and the assessment of its effects is a key to test the effectiveness of these control measures. Xiaoqing River is located in the lower reaches of the Yellow River. It is an important drainage channel of Shandong Province. The river is a source of irrigation of farmland on both sides, and is used for river transport and access to the sea. However, the Zouping section of the Xiaoqing River basin has high concentrations of NH₃-N, TN, and TP, which do not meet water quality objectives. Focusing on the Zouping section of the Xiaoqing River Basin, three major pollutants affecting the water quality of the basin (NH₃-N, TN, TP) were treated. According to the source of the pollutant load, comprehensive control measures combining internal and external sources are considered from the aspects of upgrading the sewage treatment plant, centralised collection and treatment of rural sewage, reduction of fertiliser application, regional afforestation and reduction of upstream incoming water load. Five combinations were created. The SWAT model was established based on the basic data of the basin and the parameter rates were determined to simulate the five treatment scenarios under different precipitation conditions, and to analyse whether the concentrations of NH₃-N, TN, and TP could reach the target of Class III water quality of surface water after the implementation of the control measures. A combination of the R-R-V (Reliability-Resilience-Vulnerability)index method and the entropy method were used to assess the effectiveness of the combined measures in terms of reliability, reparability and vulnerability. On this basis the best measure were selected. The results showed that different combinations of control measures were able to improve the water environment condition. The concentrations of NH₃-N, TN and TP after the five treatment scenarios were significantly lower than those before the treatment under abundant, flat and dry precipitation, and the annual average concentrations of pollutants in the control scenarios of S2, S3, S4, and S5 were able to reach the target of Class III water quality. Under S5 (the scenario including urban sewage treatment rate increased to 100%, rural sewage treatment rate increased to 80%, bare land reduced by 30 km² , upstream load reduced by 40%, fertiliser application reduced by 40%), the monthly concentrations of pollutants in the Tangkouqiao section reached the target of Class III water quality during wet, normal, and dry years. The S5 scenario had the highest composite score under different rainfall scenarios, with 0.96 and 0.96 in the year of abundance and flat water, respectively, and 0.88 in the year of dry water, which demonstrated the best effect of treatment measures on water quality improvement. This study proves that the R-R-V index method and entropy method are good for assessing the effectiveness of combined control measures. This study also provides a way to implement water quality management targets in the Zouping section of Xiaoqing River Basin.
- SWAT modelling,
- basin management,
- water quality objectives,
- R-R-V index approach

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References

[1]	GENG R, YIN P, SHARPLEY A N. A coupled model system to optimize the best management practices for nonpoint source pollution control[J]. Journal of Cleaner Production, 2019, 220: 581-592. doi: 10.1016/j.jclepro.2019.02.127
[2]	AVCI B C, KESGIN E, ATAM M, et al. Modeling agricultural practice impacts on surface water quality: Case of Northern Aegean watershed, Turkey[J]. International Journal of Environmental Science and Technology, 2023, 20(5): 5265-5280. doi: 10.1007/s13762-022-04477-1
[3]	URIBE N, SRINIVASAN R, CORZO G, et al. Spatio-temporal critical source area patterns of runoff pollution from agricultural practices in the Colombian Andes[J]. Ecological Engineering, 2020, 149: 105810. doi: 10.1016/j.ecoleng.2020.105810
[4]	李伟. 小清河“一河一策”综合整治方案[R]. 济南:山东省水利勘测设计院,2021.
[5]	秦承志,朱良君,申申,等. 基于流域系统模拟一情景优化的精细治理决策支持方法[J]. 地理学报,2024,79(1):58-75. doi: 10.11821/dlxb202401005 QIN Bingzhi, ZHU Liangjun, SHEN Shen, et al. Methods for supporting decision-making of precision watershed management based on watershed system simulation and scenario optimization[J]. Acta Geographica Sinica, 2024, 79(1): 58-75. (in Chinese with English abstract) doi: 10.11821/dlxb202401005
[6]	LIU G, CHEN L, WANG W, et al. A water quality management methodology for optimizing best management practices considering changes in long-term efficiency[J]. Science of the Total Environment, 2020, 725: 138091. doi: 10.1016/j.scitotenv.2020.138091
[7]	王慧琳,邹民忠,方伟文,等. 基于SWAT模型的武强溪流域非点源污染关键源区界定与控制策略[J]. 农业工程学报,2024,40(2):228-238. doi: 10.11975/j.issn.1002-6819.202306157 WAGN Huilin, ZOU Minzhong, FANG Weiwen, et al. Definition and control strategy of the key source areas of nonpoint source pollution based on SWAT model in Wuqiang River Basin, Zhejiang of China[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2024, 40(2): 228-238. (in Chinese with English abstract) doi: 10.11975/j.issn.1002-6819.202306157
[8]	BOUFALA M, El HMAIDI A, ESSAHLAOUI A, et al. Assessment of the best management practices under a semi-arid basin using SWAT model (case of M'dez watershed, Morocco)[J]. Modeling Earth Systems and Environment, 2022(8): 713-731.
[9]	ZUO D, HAN Y, GAO X, et al. Identification of priority management areas for non-point source pollution based on critical source areas in an agricultural watershed of Northeast China[J]. Environmental Research, 2022, 214: 213892.
[10]	CHEN Y, LU B, XU C, et al. Uncertainty evaluation of best management practice effectiveness based on the Ann AGNPS model[J]. Water Resources Management, 2022, 36(4): 1307-1321. doi: 10.1007/s11269-022-03082-8
[11]	LOPEZ-BALLESTEROS A, TROLLE D, SRINIVASAN R, et al. Assessing the effectiveness of potential best management practices for science-informed decision support at the watershed scale: The case of the Mar Menor coastal lagoon, Spain[J]. Science of the Total Environment, 2023, 859: 160144. doi: 10.1016/j.scitotenv.2022.160144
[12]	张磊. 基于SWAT模型珠溪河流域面源污染最佳管理措施研究[D]. 南昌:南昌大学,2021. ZHANG Lei. Research on Non-point Source Pollution Management Measures of Zhuxi River Basin Based on SWAT Model[D]. Nanchang, Nanchang University, 2021. (in Chinese with English abstract)
[13]	鲁佳慧,唐德善. 基于博弈论组合赋权的水环境综合治理效果评价[J]. 水利水运工程学报,2018(6):105-111. LU Jiahui, TANG Deshan. Evaluation of comprehensive water environment treatment effect based on game theory combination weighting[J]. Hydro-Science and Engineering, 2018(6): 105-111. (in Chinese with English abstract).
[14]	刘艺文,王洪涛. 基于灰水足迹和熵值法的苏锡常地区水敏感性行业识别[J]. 环境科学学报,2020,40(8):3053-3061. LIU Yiwen, WANG Hongtao. Identification of water-sensitive industries in Su-Xi-Chang Region based on grey water footprint and entropy method[J]. Acta Scientiae Circumstantiae, 2020, 40(8): 3053-3061. (in Chinese with English abstract)
[15]	WANG L, ROBERTSON D M, GARRISON P J. Linkages between nutrients and assemblages of macroinvertebrates and fish in wadeable streams: Implication to nutrient criteria development[J]. Environmental Management, 2007, 39(2): 194-212. doi: 10.1007/s00267-006-0135-8
[16]	HASHIMOTO T, STEDINGER J R, LOUCKS D P. Rellability, resiliency, and vulnerability criteria for water-resource system performance evaluation[J]. Water Resources Research, 1982, 18(1): 14-20. doi: 10.1029/WR018i001p00014
[17]	郭英壮,王晓燕,周丽丽,等. 控制流域氮流失的最佳管理措施配置及效率评估[J]. 中国环境科学,2021,41(2):860-871. doi: 10.3969/j.issn.1000-6923.2021.02.040 GUO Yingzhuang, WANG Xiaoyan, ZHOU Lili, et al. Configuration and efficiency evaluation of the best management practices to control nitrogen loss in the watershed[J]. China Environmental Science, 2021, 41(2): 860-871. (in Chinese with English abstract) doi: 10.3969/j.issn.1000-6923.2021.02.040
[18]	杨肖丽,崔周宇,任立良,等. 1966—2015年长江流域水文干旱时空演变归因[J]. 水科学进展,2023,34(3):349-859. YANG Xiaoli, CUI Zhouyu, REN Liliang, et al. Patterns and attributions of hydrological drought in the Yangtze River basin from 1966 to 2015[J]. Advances in Water Science, 2023, 34(3): 349-859. (in Chinese with English abstract)
[19]	ZENG P, SUN F Y, LIU Y Y, et al. Future river basin health assessment through reliability-resilience-vulnerability: Thresholds of multiple dryness conditions[J]. Science of the Total Environment, 2020, 741: 140395. doi: 10.1016/j.scitotenv.2020.140395
[20]	ASEFA T, CLAYTON J, ADAMS A, et al. Performance evaluation of a water resources system under varying climatic conditions: Reliability, resilience, vulnerability and beyond[J]. Journal of Hydrology, 2014, 508: 53-65. doi: 10.1016/j.jhydrol.2013.10.043
[21]	HOQUE Y M, TRIPATHI S, HANTUSH M M, et al. Watershed reliability, resilience and vulnerability analysis under uncertainty using water quality data[J]. Journal of Environmental Management, 2012, 109: 101-112.
[22]	HAZBAVI Z, SADEGHI S H R. Watershed health characterization using Reliability-resilience-vulnerability conceptual framework based on hydrological responses[J]. Land Degradation & Development, 2017, 28(5): 1528-1537.
[23]	吴海滔,崔远来,王强,等. 考虑灌排运行特点的南方平原圩区分布式水文模拟[J]. 农业工程学报,2023,39(4):66-75. doi: 10.11975/j.issn.1002-6819.202209056 WU Haitao, CUI Yuanlai, WANG Qiang, et al. Distributed hydrological simulation in the polder areas of the southern plain considering irrigation-drainage operation characteristics[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2023, 39(4): 66-75. (in Chinese with English abstract) doi: 10.11975/j.issn.1002-6819.202209056
[24]	RICCI G F, D’AMBROSIO E, DE GIROLAMO A M, et al. Efficiency and feasibility of best management practices to reduce nutrient loads in an agricultural river basin[J]. Agricultural Water Management, 2022, 259: 107241. doi: 10.1016/j.agwat.2021.107241
[25]	KHAN M A, STAMM J. Assessment of the hydrological and coupled soft computing models, based on different satellite precipitation datasets, to simulate streamflow and sediment load in a mountainous catchment[J]. Journal of Water and Climate Change, 2023, 14(2): 610-632. doi: 10.2166/wcc.2023.470
[26]	PUERTES C, BAUTISTA I, LIDON A, et al. Best management practices scenario analysis to reduce agricultural nitrogen loads and sediment yield to the semiarid Mar Menor coastal lagoon (Spain)[J]. Agricultural Systems, 2021, 188: 103029. doi: 10.1016/j.agsy.2020.103029
[27]	郑博福,刘海燕,吴汉卿,等. 中国农田磷流失风险评价及其关键驱动因素[J]. 农业工程学报,2024,40(2):332-343. doi: 10.11975/j.issn.1002-6819.202308101 ZHENG Bofu, LIU Haiyan, WU Hanqing, et al. Risk assessment and key driving factors of phosphorus loss in farmland of China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2024, 40(2): 332-343. (in Chinese with English abstract) doi: 10.11975/j.issn.1002-6819.202308101
[28]	杨妮娟,王晓云,李建柱,等. 桃林口水库流域氮磷污染负荷对土地利用的响应分析[J]. 水资源与水工程学报,2023,34(5):61-69,79. doi: 10.11705/j.issn.1672-643X.2023.05.07 YANG Nijuan, WANG Xiaoyun, LI Jianzhu, et al. Response of nitrogen and phosphorus pollution load to different land use patternsin Taolinkou Reservoir basin[J]. Journal of Water Resource & Water Engineering, 2023, 34(5): 61-69,79. (in Chinese with English abstract) doi: 10.11705/j.issn.1672-643X.2023.05.07
[29]	张旭达,韩谞,孙长顺,等. 无定河及延河流域不同时空尺度下土地利用对水质的影响[J]. 环境科学,2024,45(8):4540-4552. ZHANG Xuda, HAN Xu, SUN Changshun. Effects of landscape pattern on water quality at different spatial and temporal scales in Wudinghe River Basin and Yanhe River Basin[J]. Environmental Science, 2024, 45(8): 4540-4552. (in Chinese with English abstract)
[30]	MORISAI D N, Pai N, STEINER J L, et al. SWAT‐LUT: A desktop graphical user interface for updating land use in SWAT[J]. JAWRA Journal of the American Water Resources Association, 2019, 55(5): 1102-1115. doi: 10.1111/1752-1688.12789
[31]	KHEEREEMANGKLA Y, SHRESTHA R P, SHRESTHA S, et al. Modeling hydrologic responses to land management scenarios for the Chi River Sub-basin Part II, Northeast Thailand[J]. Environmental Earth Sciences, 2016, 75(9): 1-16.
[32]	赵政楠,茹少峰. 黄河流域生态补偿的时空格局、区域差异及分布动态演进 [J]. 环境科学, 2024, 45 (10): 5853-5867. ZHAO Zhengnan, RU Shaofeng. Spatial-temporal situation, regional differences, and dynamic evolution of the distribution ofecological compensation in the Yellow River Basin[J]. Environmental Science, 2024, 45 (10): 5853-5867. (in Chinese with English abstract)
[33]	LI S, LI J, XIA J, et al. Optimal control of nonpoint source pollution in the Bahe River Basin, Northwest China, based on the SWAT model[J]. Environmental Science and Pollution Research, 2021, 28(39): 55330-55343. doi: 10.1007/s11356-021-14869-4
[34]	MALIK M A , DAR A Q , JAIN M K . Modelling streamflow using the SWAT model and multi-site calibration utilizing SUFI-2 of SWAT-CUP model for high altitude catchments, NW Himalaya's[J]. Modeling Earth Systems and Environment, 2022, 8(1): 1203-1213.
[35]	冯在香. 基于SWAT模型的大汶河流域极端情景下径流响应研究 [D]. 泰安:山东农业大学,2023. FENG Zaixiang. Study on Runoff Response Under Extreme Scenarios in Dawen River Basin Based on SWAT Model[D]. Tai'an: Shandong Agricultural University, 2023. (in Chinese with English abstract)
[36]	CHEN C L, GAO M, XIE D T, et al. Spatial and temporal variations in non-point source losses of nitrogen and phosphorus in a small agricultural catchment in the Three Gorges Region[J]. Environmental Monitoring and Assessment, 2016, 188(4): 1-15.
[37]	焦军霞,石锦,周脚根,等. 城市圈层和水体管理措施对小水体无机氮含量空间分布格局的影响——以湖南省长沙市为例[J/OL]. 环境工程:1-11[2024-04-17]. http://kns.cnki.net/kcms/detail/11.2097.X.20240409.1607.005.html. JIAO Junxia, SHI Jin , ZHOU Jiaogen. et al. Effects of urban circle and water management measures on spatial distribution pattern of inorganic Nitrogen content in small water bodies - A case study of Changsha City, Hunan Province. [J/OL]. Environmental Engineering: 1-11[2024-04-17]. http://kns.cnki.net/kcms/detail/11.2097.X.20240409.1607.005.html. (in Chinese with English abstract)
[38]	陶园,徐静,任贺靖,等. 黄河流域农业面源污染时空变化及因素分析[J]. 农业工程学报,2021,37(4):257-264. doi: 10.11975/j.issn.1002-6819.2021.4.031 TAO Yuan, XU Jing, REN Hejing, et al. Spatiotemporal evolution of agricultural non-point source pollution and its influencing factors in the Yellow River Basin.[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2021, 37(4): 257-264. (in Chinese with English abstract) doi: 10.11975/j.issn.1002-6819.2021.4.031
[39]	WANG Y, ZHU C, HU C, et al. Evaluating the effects of different pollution reduction scenarios on the total phosphorus concentration of a mountainous river basin in southwest China using SWAT model: A case study of the Donghe River in Baoshan, Yunnan[J]. Journal of Water and Climate Change, 2023, 14(9): 3027-3053. doi: 10.2166/wcc.2023.104

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