首页> 外文期刊>Surveys in Geophysics: An International Review Journal of Geophysics and Planetary Sciences >On the Use of Hydrological Models and Satellite Data to Study the Water Budget of River Basins Affected by Human Activities: Examples from the Garonne Basin of France
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On the Use of Hydrological Models and Satellite Data to Study the Water Budget of River Basins Affected by Human Activities: Examples from the Garonne Basin of France

机译:利用水文模型和卫星数据研究受人类活动影响的流域水量收支:以法国加龙河盆地为例

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摘要

Natural and anthropogenic forcing factors and their changes significantly impact water resources in many river basins around the world. Information on such changes can be derived from fine scale in situ and satellite observations, used in combination with hydrological models. The latter need to account for hydrological changes caused by human activities to correctly estimate the actual water resource. In this study, we consider the catchment area of the Garonne river (in France) to investigate the capabilities of space-based observations and up-to-date hydrological modeling in estimating water resources of a river basin modified by human activities and a changing climate. Using the ISBA-MODCOU and SWAT hydrological models, we find that the water resources of the Garonne basin display a negative climate trend since 1960. The snow component of the two models is validated using the moderate-resolution imaging spectroradiometer snow cover extent climatology. Crop sowing dates based on remote sensing studies are also considered in the validation procedure. Use of this dataset improves the simulated evapotranspiration and river discharge amounts when compared to conventional data. Finally, we investigate the benefit of using the MAELIA multi-agent model that accounts for a realistic agricultural and management scenario. Among other results, we find that changes in crop systems have significant impacts on water uptake for agriculture. This work constitutes a basis for the construction of a future modeling framework of the sociological and hydrological system of the Garonne river region.
机译:自然和人为的强迫因素及其变化极大地影响了世界许多流域的水资源。有关此类变化的信息可以从与水文模型结合使用的精细现场观测和卫星观测中获得。后者需要考虑由人类活动引起的水文变化,以正确估算实际水资源。在这项研究中,我们考虑了加龙河的集水区(法国),以调查基于空间观测和最新水文模型的能力,以估算受人类活动和气候变化影响的流域水资源。使用ISBA-MODCOU和SWAT水文模型,我们发现加龙河盆地的水资源自1960年以来显示出负的气候趋势。这两种模型的积雪成分均使用中分辨率成像光谱仪的积雪程度气候学进行了验证。验证过程中还考虑了基于遥感研究的作物播种期。与常规数据相比,该数据集的使用改善了模拟的蒸散量和河流排泄量。最后,我们调查了使用MAELIA多代理模型的好处,该模型说明了现实的农业和管理情况。除其他结果外,我们发现农作物系统的变化对农业用水量有重大影响。这项工作是构建未来加龙河地区社会和水文系统建模框架的基础。

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