如何在流域模型中计算灌溉取水量

Elisabeth Brochet, Youen Grusson, S. Sauvage, Ludovic Lhuissier, V. Demarez
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引用次数: 1

摘要

摘要在农业地区,下游流量在低流量期间会受到人类活动的很大影响,尤其是在大坝泄洪和灌溉取水期间。灌溉的确是世界上淡水的主要用途。本研究旨在在流域模型中精确考虑这些因素。之所以选择水土评估工具(SWAT+)农业水文模型,是因为该模型具有模拟作物动态和管理的能力。在估算需水量和实际灌溉量方面,对两种不同的作物模型进行了比较。第一种作物模型以气温作为作物生长的主要决定因素,而第二种作物模型则依靠哨兵-2 卫星提供的高分辨率数据来监测植物生长。这两个模型都应用于 800 平方公里流域的地块尺度,该流域的特点是灌溉取水。结果表明,加入遥感数据后,夏收作物的模型出苗日期更符合实际情况。不过,事实证明这两种方法都能再现全年每日灌溉取水量的变化。因此,这两种方法都能以较高的日精度模拟下游流量,尤其是在低流量时期。
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How to account for irrigation withdrawals in a watershed model
Abstract. In agricultural areas, the downstream flow can be highly influenced by human activities during low-flow periods, especially during dam releases and irrigation withdrawals. Irrigation is indeed the major use of freshwater in the world. This study aims at precisely taking these factors into account in a watershed model. The Soil and Water Assessment Tool (SWAT+) agro-hydrological model was chosen for its capacity to model crop dynamics and management. Two different crop models were compared in terms of their ability to estimate water needs and actual irrigation. The first crop model is based on air temperature as the main determining factor for growth, whereas the second relies on high-resolution data from the Sentinel-2 satellite to monitor plant growth. Both are applied at the plot scale in a watershed of 800 km2 that is characterized by irrigation withdrawals. Results show that including remote sensing data leads to more realistic modeled emergence dates for summer crops. However, both approaches have proven to be able to reproduce the evolution of daily irrigation withdrawals throughout the year. As a result, both approaches allowed us to simulate the downstream flow with a good daily accuracy, especially during low-flow periods.
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