Weng Chuansong, Zeng Yiheng, Liu Defu, Zhang Jialei, He Li
College of Civil Architecture and Environment, Hubei University of Technology, Wuhan, China.
College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China.
J Sci Food Agric. 2023 May;103(7):3558-3568. doi: 10.1002/jsfa.12478. Epub 2023 Feb 14.
Yanghe Watershed has low annual rainfall, uneven spatial and temporal distribution, extreme shortage of water resources in some areas. The contradiction between supply and demand of water for agricultural production is prominent and the expected production value cannot be achieved. Therefore, it is necessary to investigate the supply and demand of agricultural water resources and the impact of green water on agricultural crops in Yanghe Watershed.
This article proposes a new crop economic model for increasing the green-water footprint to blue-water footprint ratio (GWF:BWF) in accordance with the regional characteristics, alleviating agricultural water shortage in irrigation areas, optimizing water resource allocation, and achieving sustainable agricultural development. The proposition is based on a study of five crops in eight districts and counties in the Yanghe River watershed. By combining the economic model F with a crop water production function, we achieved 89.3%, 88.9%, 97.1%, 81.5%, and 87.0% of the optimal water demands of the five crops, respectively, and effectively improved the underground irrigation of crops and the water resource utilization efficiency.
The GWF:BWF threshold interval was subsequently selected based on the temporal changes in the BWF and GWF in the study area. This enabled significant reduction of the planting area of blue-water crops and increase in the proportion of green-water crops, while also improving the agricultural economy of the Yanghe Watershed. The proposed model promises to afford enhanced management of agricultural irrigation areas that experience rainfall shortage. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
洋河集水区年降雨量低，时空分布不均，部分地区水资源极度短缺。农业生产用水供需矛盾突出，预期产值难以实现。因此，有必要对洋河集水区农业水资源供需情况以及绿水对农作物的影响进行调查。
本文根据区域特点，提出了一种新的作物经济模型，以提高绿水足迹与蓝水足迹之比（GWF:BWF），缓解灌区农业缺水问题，优化水资源配置，实现农业可持续发展。该模型基于对洋河集水区8个区县5种作物的研究。通过将经济模型F与作物水分生产函数相结合，分别实现了5种作物最优需水量的89.3%、88.9%、97.1%、81.5%和87.0%，有效改善了作物的地下灌溉和水资源利用效率。
随后根据研究区域蓝水足迹和绿水足迹的时间变化，选择了GWF:BWF阈值区间。这使得蓝水作物种植面积显著减少，绿水作物比例增加，同时也改善了洋河集水区的农业经济。所提出的模型有望加强对降雨短缺的农业灌溉区的管理。© 2023作者。《食品与农业科学杂志》由约翰·威利父子有限公司代表化学工业协会出版。
