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首页> 外文期刊>Frontiers in Plant Science >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
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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:集成高分辨率水占地面积和GIS促进农业部门的水效 - 以乔丹谷种植作物为例

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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:解决水安全的全球挑战需要更好地了解人性的水,特别是农业部门,占全球提款的70%。本研究结合了高分辨率数据与GIS系统分析了农业实践,作物类型和空间因素,如排水盆,气候和土壤类型对农业作物的水脚印(WF)。研究领域,北部乔丹谷,涵盖1121张HA,其中三种主要种植作物种植:香蕉(在开放式或网上栽培),鳄梨和手掌日。高分辨率数据源包括栽培作物的GIS层和安装在研究区中的排水管系统;气象数据(2000-2013);和作物参数(产量和灌溉建议)。首先,研究比较了不同作物的基于产量和能量的WF以及与全球价值观和地方灌溉建议的比较。结果表明,基于所有不同标准,Net-House Banana具有最低的WF。然而,虽然Palm-Dates显示出屈服标准的最高WF,但它具有所产生的能量第二最低WF,强调使用多个参数的低产作物比较的重要性。接下来,计算研究区域中每种排水盆地的区域WF,证明灰色WF对灰色WF的强烈影响,污染同化所需的淡水量的迹象。最后,通过计算在整个研究领域采用净房屋栽培的效果来证明整合GIS和WF的益处,结果每年减少1.3 MCM灌溉水。因此,使用GIS整合WF方法和本地高分辨率数据,因此可以通过增加产量,降低耗水量和最小化负面环境影响,量化和帮助量化采用现场适当的作物和农业实践的益处。

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