Ye Weiyi, Ma Enpu, Liao Liuwen, Hui Yi'an, Liang Shiyu, Ji Yiwen, Yu Sen
School of Geographical Sciences, Hunan Normal University, Changsha 410081, China; Key Laboratory for Urban-Rural Transformation Processes and Effects at Hunan Normal University, Changsha 410081, China.
School of Geographical Sciences, Hunan Normal University, Changsha 410081, China; Key Laboratory for Urban-Rural Transformation Processes and Effects at Hunan Normal University, Changsha 410081, China.
Sci Total Environ. 2023 Oct 20;896:164938. doi: 10.1016/j.scitotenv.2023.164938. Epub 2023 Jun 20.
Growing food demand challenges the expansion of agriculture, while water and energy shortages have seriously jeopardized agricultural sustainability. Therefore, the water-energy-food (WEF) nexus must be integrated into sustainable agriculture management. However, despite the increasing sophistication of models for WEF optimization, more studies have considered only how to reduce resource consumption and less on how to increase resource supply. This paper outlines an agricultural WEF optimization model based on photovoltaic panel rainwater harvesting (PVRH). The model innovatively incorporates the PVRH system into the agricultural WEF nexus, providing a decision-making framework that exploits and conserves resources in parallel, while contributing to economic benefits. The model was applied in a rural case study in a semi-arid region of China. The results highlight the significant potential of the PVRH system to exploit water and energy, and the increased resources are allocated to irrigated alfalfa and vegetables, which would significantly increase revenue. However, the model does not recommend large-scale vegetable cultivation, which would increase water and energy consumption and reduce the WEF indicator values indicating agricultural sustainability. The final scheme will build a 98.92MWp PV power station, develop 1.31 × 10 kW·h of electricity and 1.97 × 10 m of rainwater into agricultural production. And through cropping restructuring, it will increase 23.61 % of economic revenue and save 57.74 % of water and 3.24 % of energy. In general, the model framework is transferable and applicable to similar agricultural areas under semi-arid climatic conditions.
不断增长的粮食需求对农业扩张构成挑战,而水资源和能源短缺严重危及农业可持续性。因此,水-能源-粮食(WEF)关系必须纳入可持续农业管理。然而,尽管用于WEF优化的模型日益复杂,但更多研究仅考虑如何减少资源消耗,而较少关注如何增加资源供应。本文概述了一种基于光伏板雨水收集(PVRH)的农业WEF优化模型。该模型创新性地将PVRH系统纳入农业WEF关系中,提供了一个并行开发和节约资源的决策框架,同时带来经济效益。该模型应用于中国半干旱地区的一个农村案例研究。结果突出了PVRH系统开发水资源和能源的巨大潜力,增加的资源分配给灌溉苜蓿和蔬菜,这将显著增加收入。然而,该模型不建议大规模种植蔬菜,因为这会增加水和能源消耗,并降低表明农业可持续性的WEF指标值。最终方案将建设一座98.92兆瓦峰值的光伏电站,将1.31×10千瓦时的电力和1.97×10立方米的雨水用于农业生产。并且通过作物种植结构调整,将增加23.61%的经济收入,节约57.74%的水和3.24%的能源。总体而言,该模型框架具有可转移性,适用于半干旱气候条件下的类似农业地区。