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Integrating High Resolution Water Footprint and GIS for Promoting Water Efficiency in the Agricultural Sector: A Case Study of Plantation Crops in the Jordan Valley

机译:整合高分辨率水足迹和GIS来提高农业用水效率:约旦河谷种植园的案例研究

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摘要

Addressing the global challenges to water security requires a better understanding of humanity's use of water, especially the agricultural sector that accounts for 70% of global withdrawals. This study combined high resolution-data with a GIS system to analyze the impact of agricultural practices, crop type, and spatial factors such as drainage basins, climate, and soil type on the Water Footprint (WF) of agricultural crops. The area of the study, the northern Lower Jordan Valley, covers 1121 ha in which three main plantation crops are grown: banana (cultivated in open-fields or net-houses), avocado and palm-dates. High-resolution data sources included GIS layers of the cultivated crops and a drainage pipe-system installed in the study area; meteorological data (2000–2013); and crop parameters (yield and irrigation recommendations). First, the study compared the WF of the different crops on the basis of yield and energy produced as well as a comparison to global values and local irrigation recommendations. The results showed that net-house banana has the lowest WF based on all different criteria. However, while palm-dates showed the highest WF for the yield criteria, it had the second lowest WF for energy produced, emphasizing the importance of using multiple parameters for low and high yield crop comparisons. Next, the regional WF of each drainage basin in the study area was calculated, demonstrating the strong influence of the Gray WF, an indication of the amount of freshwater required for pollution assimilation. Finally, the benefits of integrating GIS and WF were demonstrated by computing the effect of adopting net-house cultivation throughout the area of study with a result a reduction of 1.3 MCM irrigation water per year. Integrating the WF methodology and local high-resolution data using GIS can therefore promote and help quantify the benefits of adopting site-appropriate crops and agricultural practices that lower the WF by increasing yield, reducing water consumption, and minimizing negative environmental impacts.
机译:应对全球水安全挑战需要更好地了解人类对水的使用,特别是占全球取水量70%的农业部门。这项研究将高分辨率数据与GIS系统相结合,以分析农业实践,作物类型和空间因素(如流域,气候和土壤类型)对农业作物水足迹(WF)的影响。研究区域位于下约旦河谷北部,占地1121公顷,其中种植了三种主要的种植作物:香蕉(在露天田地或网棚中种植),鳄梨和棕枣。高分辨率数据源包括耕作作物的GIS层和研究区域中安装的排水管系统;气象数据(2000-2013年);和作物参数(产量和灌溉建议)。首先,该研究根据产量和产生的能量以及与全球价值和当地灌溉建议的比较,比较了不同作物的WF。结果表明,基于所有不同标准,网房香蕉的WF最低。然而,尽管棕枣显示出单产最高的WF,但其产生的能量却仅次于第二,强调了使用多个参数进行低产和高产作物比较的重要性。接下来,计算了研究区域内每个流域的区域WF,证明了灰色WF的强大影响力,表明了污染吸收所需的淡水量。最后,通过计算在整个研究领域采用网箱栽培的效果,证明了将GIS和WF集成在一起的好处,结果是每年减少1.3 MCM灌溉水。因此,使用GIS将WF方法与本地高分辨率数据集成在一起,可以促进和帮助量化采用适合于特定地点的作物和农业实践的收益,这些方法通过增加产量,减少水消耗和最小化负面环境影响来降低WF。

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