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首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >ROLE OF EARTH OBSERVATION DATA AND HYDROLOGICAL MODELING IN SUPPORTING UN SDGs IN NORTH WEST HIMALAYA
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ROLE OF EARTH OBSERVATION DATA AND HYDROLOGICAL MODELING IN SUPPORTING UN SDGs IN NORTH WEST HIMALAYA

机译:地球观测数据和水文建模在西北西北联合国SDGS中的作用

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摘要

The sustainable usage and accurate assessment of water resources in North West Himalaya (NWH) is very important for respective policy makers. NWH receives precipitation from both southwest and northeast monsoon system. The detailed assessment of current and future water resources and hydrological cycle component for NWH river basins using earth observation (EO) satellites and hydrological models is very critical for attaining United Nations sustainable development goals (SDGs) namely, climate action, affordable and clean energy, clean water and sanitation and building resilient infrastructure. Present work highlights the role of various EO sensors and hydrological models and ground based instruments for improved assessment of water resources of NWH river basins. The complete inventory of NWH surface water (including glacier lakes of UK, HP), snow cover, delta SWE and glaciers database was accomplished with Remote Sensing (RS) datasets. Similarly, glacier velocity was estimated for all major glaciers of NWH using feature tracking and differential interferometry (DInSAR) methods. Fully distributed grid based hydrological model was setup for entire NWH and model calibration/validation was done for Beas, Satluj, Upper Ganga and Jhelum river basins. Quantification of relative contribution of snowmelt, glacier melt and rainfall-runoff was estimated for Bhagirathi basin upto Uttarkashi. An extensive network of automatic weather stations (AWS), 27 nos, 10 snow depth sensors, 04 digital water level recorders, two snow pack analysers and 06 long wave solar radiation sensors were installed in various sites of HP and UK for hydro-meteorological data collection, model simulation and validation. A future climate change simulations were done for Beas and Jhelum basins using CORDEX 4.5 and 8.5 scenarios from 2006–2100. Number of flood peaks were found to be increasing in number as well as decrease in total snow fall.
机译:对西北喜马拉雅山水资源(NWH)的可持续使用和准确评估对各自的政策制定者来说非常重要。 NWH从西南和东北季风系统中获得降水。使用地球观测(EO)卫星和水文模型的NWH河流域对当前和未来水资源和水文循环分量进行详细评估,对于获得联合国可持续发展目标(SDGS),即气候行动,负担得起和清洁能源非常重要清洁水和卫生和建立弹性基础设施。目前的工作凸显了各种EO传感器和水文模型的作用和基于地面的仪器,以改善NWH河流域水资源的评估。使用遥感(RS)数据集完成了NWH地表水(包括英国,HP),雪覆盖,达斯级SWE和冰川数据库的完整库存。类似地,使用特征跟踪和微分干涉测量法(DINSAR)方法估计NWH的所有主要冰川估计冰川速度。基于完全分布的网格的水文模型是为整个NWH设置的,为BEA,Satluj,Upper Ganga和Jhelum河流域进行了模型校准/验证。估计Bhagirathi盆地Upto utakashi的雪花,冰川熔体和降雨径流的相对贡献的量化。一系列广泛的自动气象站(AWS),27号,10个雪深度传感器,04数字水位记录仪,两个雪包分析仪和06个长波太阳辐射传感器安装在HP和UK的各个地点,用于水 - 气象数据集合,模型仿真和验证。使用CORDEX 4.5和8.5场景为BEAS和JHELUM盆地完成了未来的气候变化模拟。发现洪水峰的数量在数量中增加以及整个雪落的减少。

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