首页> 外文会议>Asian conference on remote sensing >INTEGRATED USE OF REMOTE SENSING, GIS AND SWAT MODEL TO EXPLORE CLIMATE CHANGE EFFECTS ON RIVER DISCHARGE IN THE CAGAYAN RIVER BASIN AND LAND COVER-BASED ADAPTATION MEASURES
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INTEGRATED USE OF REMOTE SENSING, GIS AND SWAT MODEL TO EXPLORE CLIMATE CHANGE EFFECTS ON RIVER DISCHARGE IN THE CAGAYAN RIVER BASIN AND LAND COVER-BASED ADAPTATION MEASURES

机译:遥感,GIS和SWAT模型的综合使用,探讨Cagayan River河流域河流流域的气候变化效应和基于土地覆盖的适应措施

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Land cover-based adaptation measures have already been adopted by many concerned institutions in response to the posing ill-effects of climate change. Such scheme is usually achieved using an integration of watershed models, Remote Sensing (RS) and Geographic Information System (GIS). In this study, GIS provided the platform for the ArcSWAT interface of the Soil and Water Assessment Tool (SWAT) model. The model was used to assess the effect of climate change on river discharges from the Cagayan River Basin-the largest river basin in the Philippines-with inputs including land use/land cover maps from RS data (Landsat TM and ETM+ images), Shuttle Radar Topography Mission Digital Elevation Model (SRTM-DEM), soil map and hydrologic data. Automatic watershed delineation was done via the ArcSWAT interface using the input DEM while subbasins and finer subdivisions in the basin called the hydrologic response units (HRU) are defined by setting threshold limits for land use/land cover, soil type and slope class. Values of the Nash-Sutcliffe Efficiency (NSE)>0.6 and coefficient of determination (R~2)>0.7 for both model calibration and validation of mean daily river discharges showed that SWAT can realistically model flow dynamics in the study area. Reruns of the calibrated model have demonstrated how changes in climatic parameters, such as rainfall and temperature, can significantly affect river discharge. Specifically, it has been shown that discharge will increase for A1B climate change scenario in years 2020 and 2050 and in general, the proposed land cover distribution scheme has become a control mechanism by successfully reducing river discharge. The study has demonstrated how the integration of RS, GIS and SWAT model can be a powerful tool in watershed management and protection.
机译:许多有关机构已经采用了基于土地覆盖的适应措施,以应对气候变化的不良影响。通常使用流域模型,遥感(RS)和地理信息系统(GIS)的集成来实现这种方案。在本研究中,GIS为土壤和水评估工具(SWAT)模型的Arcswat接口提供了平台。该模型用于评估Cagayan River河流域 - 最大河流河流河流河流河流的气候变化 - 从RS数据(Landsat TM和ETM +图像),梭雷达等投入的投入地形使命数字高程模型(SRTM-DEM),土壤图和水文数据。通过ArcSwat界面通过ArcSwat界面使用输入DEM完成自动流域描绘,而盆地中的子酶和更精细的细分通过设定土地使用/陆盖,土壤类型和斜坡等级的阈值限制来定义。用于模型校准和验证平均日河排放的模型校准和验证的纳什SUTCLIFFE效率(NSE)> 0.6的值> 0.7的值表明,SWAT可以在研究区内进行实际模型流动动态。校准模型的Reruns已经证明了气候参数的变化,例如降雨和温度,可以显着影响河流排放。具体而言,已经表明,在2020年2020年和2050年的A1B气候变化场景中,拟议的陆地覆盖分配方案通过成功减少河流排放来增加,放电将增加。该研究表明了如何集成RS,GIS和SWAT模型可以是流域管理和保护的强大工具。

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