Shuping Wang , Pan Yang , Qian Tan , Linlin Yao , Cangbai Li
{"title":"空间定向有机肥补贴对水污染控制的影响:一个交互水文经济模型","authors":"Shuping Wang , Pan Yang , Qian Tan , Linlin Yao , Cangbai Li","doi":"10.1016/j.watres.2025.123662","DOIUrl":null,"url":null,"abstract":"<div><div>Developing a reasonable subsidy policy for organic fertilizer use can enhance manure recycling and mitigate non-point source (NPS) pollution. However, traditional policy analysis methods face challenges in capturing the interactions between real-world hydrological and economic processes, hindering accurate policy assessment and spatially targeted policy formulation. To address this gap, a hydro-economic model was proposed for policy analysis by coupling a microeconomic module based on positive mathematical programming with a semi-distributed eco-hydrological module (the SWAT model). This hydro-economic method overcomes the limitations of traditional models in capturing mutual feedback between hydrological and economic systems by using an iterative algorithm to reveal the interactions among water quantity, pollution loads, and agricultural practices. The pervasive scale mismatches between economic and eco-hydrological modules are also bridged by introducing a hydro-economic decision unit. Moreover, this approach advances previous models by formulating spatially targeted agri-environmental policies and identifying the spatiotemporal variations in NPS pollution under policy incentives. The hydro-economic model was applied to a typical agricultural watershed in northern China. The results indicated that increasing organic fertilizer subsidies from 0 to 1000 yuan/ton led to increased organic fertilizer use and higher farmer income, as well as spatiotemporal variations in NPS pollution and hydrological factors. The total phosphorus (TP) load, water yield, and surface runoff declined as subsidy levels increased, while the total nitrogen (TN) load fluctuated and evapotranspiration increased. The greatest reductions in TN loads occurred in spring (9510 kg), while TP loads were most reduced in summer (2680 kg). Priority areas for policy implementation were identified, where the same subsidies resulted in larger pollution reductions and greater benefits. Targeted subsidy levels have been suggested for each region to maximize the subsidy’s marginal utility in pollution mitigation. The proposed hydro-economic model could be widely applied to policy formulation and planning decisions in other resource management fields.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"281 ","pages":"Article 123662"},"PeriodicalIF":11.4000,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identifying spatially targeted organic fertilizer subsidies for water pollution control: An interactive hydro-economic model\",\"authors\":\"Shuping Wang , Pan Yang , Qian Tan , Linlin Yao , Cangbai Li\",\"doi\":\"10.1016/j.watres.2025.123662\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Developing a reasonable subsidy policy for organic fertilizer use can enhance manure recycling and mitigate non-point source (NPS) pollution. However, traditional policy analysis methods face challenges in capturing the interactions between real-world hydrological and economic processes, hindering accurate policy assessment and spatially targeted policy formulation. To address this gap, a hydro-economic model was proposed for policy analysis by coupling a microeconomic module based on positive mathematical programming with a semi-distributed eco-hydrological module (the SWAT model). This hydro-economic method overcomes the limitations of traditional models in capturing mutual feedback between hydrological and economic systems by using an iterative algorithm to reveal the interactions among water quantity, pollution loads, and agricultural practices. The pervasive scale mismatches between economic and eco-hydrological modules are also bridged by introducing a hydro-economic decision unit. Moreover, this approach advances previous models by formulating spatially targeted agri-environmental policies and identifying the spatiotemporal variations in NPS pollution under policy incentives. The hydro-economic model was applied to a typical agricultural watershed in northern China. The results indicated that increasing organic fertilizer subsidies from 0 to 1000 yuan/ton led to increased organic fertilizer use and higher farmer income, as well as spatiotemporal variations in NPS pollution and hydrological factors. The total phosphorus (TP) load, water yield, and surface runoff declined as subsidy levels increased, while the total nitrogen (TN) load fluctuated and evapotranspiration increased. The greatest reductions in TN loads occurred in spring (9510 kg), while TP loads were most reduced in summer (2680 kg). Priority areas for policy implementation were identified, where the same subsidies resulted in larger pollution reductions and greater benefits. Targeted subsidy levels have been suggested for each region to maximize the subsidy’s marginal utility in pollution mitigation. The proposed hydro-economic model could be widely applied to policy formulation and planning decisions in other resource management fields.</div></div>\",\"PeriodicalId\":443,\"journal\":{\"name\":\"Water Research\",\"volume\":\"281 \",\"pages\":\"Article 123662\"},\"PeriodicalIF\":11.4000,\"publicationDate\":\"2025-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Water Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S004313542500572X\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S004313542500572X","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
Identifying spatially targeted organic fertilizer subsidies for water pollution control: An interactive hydro-economic model
Developing a reasonable subsidy policy for organic fertilizer use can enhance manure recycling and mitigate non-point source (NPS) pollution. However, traditional policy analysis methods face challenges in capturing the interactions between real-world hydrological and economic processes, hindering accurate policy assessment and spatially targeted policy formulation. To address this gap, a hydro-economic model was proposed for policy analysis by coupling a microeconomic module based on positive mathematical programming with a semi-distributed eco-hydrological module (the SWAT model). This hydro-economic method overcomes the limitations of traditional models in capturing mutual feedback between hydrological and economic systems by using an iterative algorithm to reveal the interactions among water quantity, pollution loads, and agricultural practices. The pervasive scale mismatches between economic and eco-hydrological modules are also bridged by introducing a hydro-economic decision unit. Moreover, this approach advances previous models by formulating spatially targeted agri-environmental policies and identifying the spatiotemporal variations in NPS pollution under policy incentives. The hydro-economic model was applied to a typical agricultural watershed in northern China. The results indicated that increasing organic fertilizer subsidies from 0 to 1000 yuan/ton led to increased organic fertilizer use and higher farmer income, as well as spatiotemporal variations in NPS pollution and hydrological factors. The total phosphorus (TP) load, water yield, and surface runoff declined as subsidy levels increased, while the total nitrogen (TN) load fluctuated and evapotranspiration increased. The greatest reductions in TN loads occurred in spring (9510 kg), while TP loads were most reduced in summer (2680 kg). Priority areas for policy implementation were identified, where the same subsidies resulted in larger pollution reductions and greater benefits. Targeted subsidy levels have been suggested for each region to maximize the subsidy’s marginal utility in pollution mitigation. The proposed hydro-economic model could be widely applied to policy formulation and planning decisions in other resource management fields.
期刊介绍:
Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include:
•Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management;
•Urban hydrology including sewer systems, stormwater management, and green infrastructure;
•Drinking water treatment and distribution;
•Potable and non-potable water reuse;
•Sanitation, public health, and risk assessment;
•Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions;
•Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment;
•Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution;
•Environmental restoration, linked to surface water, groundwater and groundwater remediation;
•Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts;
•Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle;
•Socio-economic, policy, and regulations studies.