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

被引:2
作者
Xie, Yulei [1 ,5 ]
Lu, Huasen [1 ]
Luo, Zhiwei [1 ]
Ji, Ling [2 ]
Zhai, Liang [3 ]
Cai, Yanpeng [4 ]
机构
[1] Guangdong Univ Technol, Sch Ecol Environm & Resources, Guangdong Prov Key Lab Water Qual Improvement & Ec, Guangzhou 510006, Peoples R China
[2] Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
[3] Chinese Acad Surveying & Mapping, Res Ctr Nat Resources Surveying & Monitoring, Beijing 100036, Peoples R China
[4] Guangdong Univ Technol, Inst Environm & Ecol Engn, Guangdong Prov Key Lab Water Qual Improvement & Ec, Guangzhou 510006, Peoples R China
[5] Guangdong Univ Technol, Sch Ecol Environm & Resources, Guangzhou Higher Educ Mega Ctr, 100 Waihuan Xi Rd, Guangzhou 510006, Peoples R China
基金
中国国家自然科学基金;
关键词
Non -point pollutants emission trading; Water resources allocation; Policies constraint; Interaction analysis; Multiple uncertainties; SOURCE POLLUTION MITIGATION; RESOURCES MANAGEMENT; PROGRAMMING-MODEL; OPTIMIZATION MODEL; QUALITY MANAGEMENT; BASIN; SEDIMENT;
D O I
10.1016/j.envres.2023.117809
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:14
相关论文
共 41 条
[1]   Remotely-Sensed Ecosystem Health Assessment (RSEHA) model for assessing the changes of ecosystem health of Lake Urmia Basin [J].
Abbaszadeh Tehrani, Nadia ;
Mohd Shafri, Helmi Zulhaidi ;
Salehi, Sara ;
Chanussot, Jocelyn ;
Janalipour, Milad .
INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION, 2022, 13 (02) :180-205
[2]   Improved water resource management framework for water sustainability and security [J].
Ahmed, Sameh S. ;
Bali, Rekha ;
Khan, Hasim ;
Mohamed, Hassan Ibrahim ;
Sharma, Sunil Kumar .
ENVIRONMENTAL RESEARCH, 2021, 201
[3]   Measuring water security: A vital step for climate change adaptation [J].
Babel, Mukand S. ;
Shinde, Victor R. ;
Sharma, Devesh ;
Nguyen Mai Dang .
ENVIRONMENTAL RESEARCH, 2020, 185
[4]   An export coefficient based inexact fuzzy bi-level multi-objective programming model for the management of agricultural nonpoint source pollution under uncertainty [J].
Cai, Yanpeng ;
Rong, Qiangqiang ;
Yang, Zhifeng ;
Yue, Wencong ;
Tan, Qian .
JOURNAL OF HYDROLOGY, 2018, 557 :713-725
[5]   A dual-inexact fuzzy stochastic model for water resources management and non-point source pollution mitigation under multiple uncertainties [J].
Dong, C. ;
Tan, Q. ;
Huang, G. -H. ;
Cai, Y. -P. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2014, 18 (05) :1793-1803
[6]   Agricultural Water Productivity-Based Hydro-Economic Modeling for Optimal Crop Pattern and Water Resources Planning in the Zarrine River Basin, Iran, in the Wake of Climate Change [J].
Emami, Farzad ;
Koch, Manfred .
SUSTAINABILITY, 2018, 10 (11)
[7]   Structural Analysis of Water Quality Formation in an Urban Watercourse: Point, Non-Point, Transit, and Natural Components [J].
Fashchevskaya, T. B. ;
Polianin, V. O. ;
Fedosova, L. V. .
WATER RESOURCES, 2018, 45 :S67-S78
[8]   Surface drainage features identification using LiDAR DEM smoothing in agriculture area: a study case of Kebumen Regency, Indonesia [J].
Handayani, Hepi H. ;
Bawasir, Arizal ;
Cahyono, Agung B. ;
Hariyanto, Teguh ;
Hidayat, Husnul .
INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION, 2023, 14 (02) :182-203
[9]   An inexact two-stage stochastic programming model for water resources management under uncertainty [J].
Huang, GH ;
Loucks, DP .
CIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMS, 2000, 17 (02) :95-118
[10]   Parameter Uncertainty and Sensitivity Evaluation of Copula-Based Multivariate Hydroclimatic Risk Assessment [J].
Huang, K. ;
Fan, Y. R. .
JOURNAL OF ENVIRONMENTAL INFORMATICS, 2021, 38 (02) :131-144