This document is downloaded from DR‑NTU (https://dr.ntu.edu.sg) Nanyang Technological University, Singapore. Agricultural water management model based on grey water footprints under uncertainty and its application Song, Ge; Dai, Chao; Tan, Qian; Zhang, Shan 2019 Song, G., Dai, C., Tan, Q., & Zhang, S. (2019). Agricultural water management model based on grey water footprints under uncertainty and its application. Sustainability, 11(20), 5567‑. doi:10.3390/su11205567 https://hdl.handle.net/10356/142706 https://doi.org/10.3390/su11205567 © 2019 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license http://creativecommons.org/licenses/by/4.0/). Downloaded on 29 Sep 2021 09:32:05 SGT sustainability Article Agricultural Water Management Model Based on Grey Water Footprints under Uncertainty and its Application Ge Song 1,2, Chao Dai 3, Qian Tan 1,4,* and Shan Zhang 1 1 College of Water Resources & Civil Engineering, China Agricultural University, Beijing 100083, China;
[email protected] (G.S.);
[email protected] (S.Z.) 2 State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065 China 3 School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore;
[email protected] 4 Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China * Correspondence:
[email protected] Received: 1 August 2019; Accepted: 17 September 2019; Published: 10 October 2019 Abstract: The grey water footprint theory was introduced into a fractional programming model to alleviate non-point source pollution and increase water-use efficiency through the adjustment of crop planting structure.