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

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Shuping Wang , Pan Yang , Qian Tan , Linlin Yao , Cangbai Li
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引用次数: 0

摘要

制定合理的有机肥使用补贴政策可以促进有机肥循环利用,减轻非点源污染。然而,传统的政策分析方法在捕捉现实世界水文和经济过程之间的相互作用方面面临挑战,阻碍了准确的政策评估和有空间针对性的政策制定。为了解决这一差距,通过将基于正数学规划的微观经济模块与半分布式生态水文模块(SWAT模型)相结合,提出了一种用于政策分析的水文经济模型。这种水文经济方法克服了传统模型在捕获水文和经济系统之间相互反馈方面的局限性,通过使用迭代算法来揭示水量、污染负荷和农业实践之间的相互作用。通过引入水文经济决策单元,弥合了经济与生态水文模块之间普遍存在的尺度错配。此外,该方法还通过制定具有空间针对性的农业环境政策和识别政策激励下NPS污染的时空变化来改进先前的模型。将该水文经济模型应用于中国北方典型农业流域。结果表明:有机肥补贴从0元/吨增加到1000元/吨,导致有机肥使用量和农民收入增加,以及NPS污染和水文因子的时空变化。随着补贴水平的增加,总磷(TP)负荷、产水量和地表径流量下降,总氮(TN)负荷波动,蒸散量增加。全氮负荷在春季减少最多(9510 kg),全磷负荷在夏季减少最多(2680 kg)。确定了政策执行的优先领域,在这些领域,同样的补贴导致更大的污染减少和更大的利益。为使补贴在污染缓解中的边际效用最大化,提出了针对每个地区的目标补贴水平。所提出的水文经济模型可广泛应用于其他资源管理领域的政策制定和规划决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Identifying spatially targeted organic fertilizer subsidies for water pollution control: An interactive hydro-economic model

Identifying spatially targeted organic fertilizer subsidies for water pollution control: An interactive hydro-economic model

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.
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
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.
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