Different policies constrained agricultural non-point pollutants emission trading management for water system under interval, fuzzy, and stochastic information

Yulei Xie; Huasen Lu; Zhiwei Luo; Ling Ji; Liang Zhai; Yanpeng Cai

doi:10.1016/j.envres.2023.117809

Different policies constrained agricultural non-point pollutants emission trading management for water system under interval, fuzzy, and stochastic information

Environ Res. 2024 May 1:248:117809. doi: 10.1016/j.envres.2023.117809. Epub 2023 Dec 10.

Authors

Yulei Xie¹, Huasen Lu², Zhiwei Luo³, Ling Ji⁴, Liang Zhai⁵, Yanpeng Cai⁶

Affiliations

¹ Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China. Electronic address: xieyulei001@gmail.com.
² Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China. Electronic address: luhuasen2022@126.com.
³ Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China. Electronic address: luozwei@126.com.
⁴ School of Economics and Management, Beijing University of Technology, Beijing, 100124, China. Electronic address: hdjiling@126.com.
⁵ Research Center for Natural Resources Surveying and Monitoring, Chinese Academy of Surveying and Mapping, Beijing, 100036, China. Electronic address: zhailiang@casm.ac.cn.
⁶ Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, 510006, China. Electronic address: yanpeng.cai@gdut.edu.cn.

PMID: 38072114
DOI: 10.1016/j.envres.2023.117809

Abstract

Formulating suitable policies is essential for resources and environmental management. In this study, an agricultural pollutants emission trading management model driven by water resources and pollutants control is developed to search reasonable policies for agricultural water resources allocation under multiple uncertainties. Random-fuzzy and interval information in water resources system that have directly impact on the effectiveness of management schemes is reflected through interval two-stage stochastic fuzzy-probability programming. The model was root from regional agricultural water resources system in Jining City, China under considering the relationship among effective precipitation, crop water demand, and pollutants emission. Two types policies (water consumption-control and pollutants emission-control) are designed for searching the related interaction on water resources management and water quality improvement. The results indicated that water resources policies would be of water and environmental double benefits, and a large rainfall would reduce irrigation amount from water sources and lead to a larger pollutants emission trading. The results will help for defining scientific and effective water resources protection and management policies and analyzing the related interacted effects on water consumption, pollutants control and system benefit.

Keywords: Interaction analysis; Multiple uncertainties; Non-point pollutants emission trading; Policies constraint; Water resources allocation.

MeSH terms

Agriculture* / methods
China
Fuzzy Logic*
Models, Theoretical
Probability
Uncertainty
Water Quality
Water Resources