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Modeling the Effects of Land-Cover Change on Rainfall-Runoff Relationships in a Semiarid, Eastern Mediterranean Watershed

机译:建模土地覆盖变化在半干旱地中海流域中降雨径流关系的影响

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摘要

Temporal changes and spatial patterns are often studied by analyzing land-cover changes (LCCs) using spaceborne images. LCC is an important factor, affecting runoff within watersheds. The objective was to estimate the effects of 20 years of LCCs on rainfall-runoff relations in an extreme rainfall event. A 1989 Landsat TM-derived classification map was used as input for a Kinematic Runoff and Erosion (KINEROS) hydrological model along with the precipitation data of an extreme rainfall event. Model calibration was performed using measured runoff volume data. Validation of the model performance was conducted by comparing the model results to measured data. A similar procedure was used with a 2009 land-cover classification map as an input to the KINEROS model, along with similar precipitation data and calibration parameters, in order to understand the possible outcomes of a rainfall event of such a magnitude and duration after 20 years of LCCs. The results show an increase in runoff volume and peak discharge between the time periods as a result of LCCs. A strong relationship was detected between vegetation cover and the runoff volume. The LCCs with most pronounced effects on runoff volumes were related to urbanization and vegetation removal.
机译:通常通过使用星载图像分析土地覆盖变化(LCC)来研究时间变化和空间模式。 LCC是一个重要因素,影响流域内的径流。目标是估计20年LCC在极端降雨事件中对降雨径流关系的影响。 1989年LANDSAT TM衍生的分类地图被用作运动径流和侵蚀(KINEROS)水文模型的输入以及极端降雨事件的降水数据。使用测量的径流卷数据执行模型校准。通过将模型结果与测量数据进行比较来进行模型性能的验证。与2009年覆盖分类图一起使用类似程序作为对Kineros模型的输入,以及类似的降水数据和校准参数,以了解20年后这种幅度和持续时间的降雨事件的可能结果LCCS。结果表明,由于LCCS的时间段之间的径流量和峰值放电增加。植被覆盖和径流量之间检测到强大的关系。具有最明显的径流卷影响的LCC与城市化和植被去除有关。

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