农业流域非点源污染缓解最佳管理实践的空间优化

IF 6.3 1区 地球科学 Q1 ENGINEERING, CIVIL
Yujiao Wu, Yu Li, Yiding Men, Zhe Zhu, Yan Sun, Changchun Song
{"title":"农业流域非点源污染缓解最佳管理实践的空间优化","authors":"Yujiao Wu,&nbsp;Yu Li,&nbsp;Yiding Men,&nbsp;Zhe Zhu,&nbsp;Yan Sun,&nbsp;Changchun Song","doi":"10.1016/j.jhydrol.2025.133739","DOIUrl":null,"url":null,"abstract":"<div><div>Spatial optimization of Best Management Practices (BMPs) is an effective approach to minimizing nonpoint source pollution under limited cost constraints. However, the integration of physical models with optimization models still faces challenges due to the significant computational demands of physical models. We propose a Surrogate-Based Multi-Objective Optimization Method for watershed BMPs, enabling the efficient coupling of physical models with multi-objective optimization models. The method is applied to the Fuzhou River watershed, where the spatial optimization of BMPs under different objectives is obtained. The results indicate that the optimal of BMPs measures vary depending on different water quality objectives. Total nitrogen (TN) and total phosphorus (TP) control primarily rely on protective tillage and grass waterways, while nitrate (NO<sub>3</sub>) control is more effectively achieved through reducing fertilization and vegetated filter strips. We also highlight the importance of fine scale zonal management. High cost and high effect measures are applied to key pollution areas, while low cost measures are selected for other areas, achieving the best balance between treatment effectiveness and financial feasibility. These findings provide technical support for nonpoint source pollution control and contribute to the foundation of sustainable development.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"661 ","pages":"Article 133739"},"PeriodicalIF":6.3000,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial optimization of Best Management Practices (BMPs) for nonpoint source pollution mitigation in agricultural watersheds\",\"authors\":\"Yujiao Wu,&nbsp;Yu Li,&nbsp;Yiding Men,&nbsp;Zhe Zhu,&nbsp;Yan Sun,&nbsp;Changchun Song\",\"doi\":\"10.1016/j.jhydrol.2025.133739\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Spatial optimization of Best Management Practices (BMPs) is an effective approach to minimizing nonpoint source pollution under limited cost constraints. However, the integration of physical models with optimization models still faces challenges due to the significant computational demands of physical models. We propose a Surrogate-Based Multi-Objective Optimization Method for watershed BMPs, enabling the efficient coupling of physical models with multi-objective optimization models. The method is applied to the Fuzhou River watershed, where the spatial optimization of BMPs under different objectives is obtained. The results indicate that the optimal of BMPs measures vary depending on different water quality objectives. Total nitrogen (TN) and total phosphorus (TP) control primarily rely on protective tillage and grass waterways, while nitrate (NO<sub>3</sub>) control is more effectively achieved through reducing fertilization and vegetated filter strips. We also highlight the importance of fine scale zonal management. High cost and high effect measures are applied to key pollution areas, while low cost measures are selected for other areas, achieving the best balance between treatment effectiveness and financial feasibility. These findings provide technical support for nonpoint source pollution control and contribute to the foundation of sustainable development.</div></div>\",\"PeriodicalId\":362,\"journal\":{\"name\":\"Journal of Hydrology\",\"volume\":\"661 \",\"pages\":\"Article 133739\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2025-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Hydrology\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022169425010777\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022169425010777","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0

摘要

最佳管理实践空间优化是在有限成本约束下实现非点源污染最小化的有效途径。然而,由于物理模型的巨大计算需求,物理模型与优化模型的集成仍然面临挑战。提出了一种基于代理的流域bmp多目标优化方法,实现了物理模型与多目标优化模型的有效耦合。将该方法应用于福州河流域,得到了不同目标下bmp的空间优化结果。结果表明,不同水质目标下,bmp措施的最优值存在差异。总氮(TN)和总磷(TP)的控制主要依靠保护性耕作和草水道,而硝酸盐(NO3)的控制则通过减少施肥和植被过滤带更有效地实现。我们还强调了精细规模分区管理的重要性。重点污染区域采用高成本、高效果的措施,其他区域选择低成本的措施,实现治理效果与财务可行性的最佳平衡。研究结果为非点源污染控制提供了技术支持,为可持续发展奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial optimization of Best Management Practices (BMPs) for nonpoint source pollution mitigation in agricultural watersheds
Spatial optimization of Best Management Practices (BMPs) is an effective approach to minimizing nonpoint source pollution under limited cost constraints. However, the integration of physical models with optimization models still faces challenges due to the significant computational demands of physical models. We propose a Surrogate-Based Multi-Objective Optimization Method for watershed BMPs, enabling the efficient coupling of physical models with multi-objective optimization models. The method is applied to the Fuzhou River watershed, where the spatial optimization of BMPs under different objectives is obtained. The results indicate that the optimal of BMPs measures vary depending on different water quality objectives. Total nitrogen (TN) and total phosphorus (TP) control primarily rely on protective tillage and grass waterways, while nitrate (NO3) control is more effectively achieved through reducing fertilization and vegetated filter strips. We also highlight the importance of fine scale zonal management. High cost and high effect measures are applied to key pollution areas, while low cost measures are selected for other areas, achieving the best balance between treatment effectiveness and financial feasibility. These findings provide technical support for nonpoint source pollution control and contribute to the foundation of sustainable development.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Hydrology
Journal of Hydrology 地学-地球科学综合
CiteScore
11.00
自引率
12.50%
发文量
1309
审稿时长
7.5 months
期刊介绍: The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信