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Research on water quality improvement of plain irrigation area based on multi-scenario simulation.
Qiu, Chunqi; Li, Yufeng; Wu, Yanhui; Wright, Alan; Naylor, Larissa; Lai, Zhengqing; Jia, Yue; Liu, Hongyu.
Affiliation
  • Qiu C; School of Marine Science and Engineering, Nanjing Normal University, 1 Wenyuan Road, Jiangsu, 210023, China.
  • Li Y; School of Marine Science and Engineering, Nanjing Normal University, 1 Wenyuan Road, Jiangsu, 210023, China. pandalee_0826@163.com.
  • Wu Y; School of Marine Science and Engineering, Nanjing Normal University, 1 Wenyuan Road, Jiangsu, 210023, China.
  • Wright A; Indian River Research and Education Center, Soil and Water Sciences Department, University of Florida-IFAS, 2199 South Rock Road, Fort Pierce, FL, 34945, USA.
  • Naylor L; School of Geographical & Earth Sciences, University of Glasgow, University Avenue, Glasgow, G12 8QQ, UK.
  • Lai Z; School of Marine Science and Engineering, Nanjing Normal University, 1 Wenyuan Road, Jiangsu, 210023, China.
  • Jia Y; School of Marine Science and Engineering, Nanjing Normal University, 1 Wenyuan Road, Jiangsu, 210023, China.
  • Liu H; School of Marine Science and Engineering, Nanjing Normal University, 1 Wenyuan Road, Jiangsu, 210023, China.
Environ Sci Pollut Res Int ; 30(59): 123427-123438, 2023 Dec.
Article in En | MEDLINE | ID: mdl-37982950
Water diversion projects have proven to be effective interventions to improve water quality in irrigation ditches. This study focused on quantifying the water quality improvement by utilizing a hydrodynamic water quality model in Funing County, Yancheng City. The model performed a spatial analysis of pollution concentrations across the study area. Various optimization scenarios were designed based on the diversion project and hydrological structure connectivity. The model was used to simulate changes in nutrient concentrations under different scenarios. The findings of this study were as follows: (1) Rural areas had lower nutrient concentrations and superior hydrological connectivity than urban areas. (2) The effect of water quality improvement correlated positively with increased flow rates introduced by the diversion project. Specifically, when the flow rate increased by 50%, the average reductions were 20% for NH4+, 5.2% for TN, and 5.1% for TP. Furthermore, introduced clean water led to more pronounced improvements in the overall regional water quality. (3) Although increasing the number of ditches improved water pollution concentration, the impact was not significant. (4) Model simulation results showed that 18 to 45% water diversion intensity effectively improved water quality, and the optimal water diversion intensity was 27 to 30%. The optimal water diversion intensities offered valuable insights for managing this region. The study's methods contributed to the promotion of sustainable development in regional water resources and the integrated management of the water environment.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Quality / Quality Improvement Country/Region as subject: Asia Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2023 Document type: Article Affiliation country: China Country of publication: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Quality / Quality Improvement Country/Region as subject: Asia Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2023 Document type: Article Affiliation country: China Country of publication: Germany