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Remotely sensed data used for modelling at different hydrological scales

机译:用于不同水文规模建模的遥感数据

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摘要

There is a growing awareness that water will be one of the most critical natural resources and that there is a need for better management of the limited water resources. This paper reports on a study of a water-scarce river basin in western Turkey. Hydrological analyses, emphasizing water use for irrigation, are performed at three different spatial scales (field scale, irrigation scheme scale and basin scale) using two kind of model: a parametric basin-scale model and a physically based crop-scale model. Data accessibility for this basin, especially for areal data, was low. A combined use of public domain data sets and remotely sensed data was used to solve this problem. A public domain digital elevation model was used to generate the streamflow network and the distances and slopes to streams. Land-cover data and leaf area index data were derived from public domain NOAA–AVHRR images. For one irrigation scheme in the basin, detailed areal water balances were obtained from the simulation model and a comparison was made between a normal and a water-short year. At the basin scale, observed flows were compared with simulated flows. It is concluded that remotely sensed data and other public domain data can be used with simulation models at different scales to create a powerful tool to evaluate water resources in a basin context. Copyright © 2002 John Wiley & Sons, Ltd.
机译:人们日益认识到,水将是最关键的自然资源之一,需要对有限的水资源进行更好的管理。本文报道了对土耳其西部缺水流域的研究。水文分析强调灌溉用水,使用两种模型在三种不同的空间尺度(田间尺度,灌溉计划尺度和流域尺度)上进行:参数流域尺度模型和基于物理的作物尺度模型。该盆地,尤其是区域数据的数据可访问性很低。公共领域数据集和遥感数据的组合使用可解决此问题。公共领域的数字高程模型用于生成河流网络以及河流的距离和坡度。土地覆盖数据和叶面积指数数据来自公共领域的NOAA-AVHRR图像。对于流域的一种灌溉方案,从模拟模型中获得了详细的区域水平衡,并对正常年份和短水年份进行了比较。在流域范围内,将观测到的流量与模拟流量进行了比较。结论是,可以将遥感数据和其他公共领域数据与不同规模的模拟模型一起使用,以创建一个强大的工具来评估流域内的水资源。版权所有©2002 John Wiley&Sons,Ltd.

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