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Land-use change may exacerbate climate change impacts on water resources in the Ganges basin

机译:土地利用变化可能会加剧气候变化对恒河流域水资源的影响

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摘要

Quantifying how land-use change and climate change affect water resources is a challenge in hydrological science. This work aims to quantify how future projections of land-use and climate change might affect the hydrological response of the Upper Ganges river basin in northern India, which experiences monsoon flooding almost every year. Three different sets of modelling experiments were run using the Joint UK Land Environment Simulator (JULES) land surface model (LSM) and covering the period 2000-2035: in the first set, only climate change is taken into account, and JULES was driven by the CMIP5 (Coupled Model Intercomparison Project Phase 5) outputs of 21 models, under two representative concentration pathways (RCP4.5 and RCP8.5), whilst land use was held fixed at the year 2010. In the second set, only land-use change is taken into account, and JULES was driven by a time series of 15 future land-use pathways, based on Landsat satellite imagery and the Markov chain simulation, whilst the meteorological boundary conditions were held fixed at years 2000-2005. In the third set, both climate change and land-use change were taken into consideration, as the CMIP5 model outputs were used in conjunction with the 15 future land-use pathways to force JULES. Variations in hydrological variables (stream flow, evapotranspiration and soil moisture) are calculated during the simulation period.
机译:量化土地利用变化和气候变化如何影响水资源是水文科学的挑战。这项工作旨在量化土地利用和气候变化的未来预测可能会影响印度北部恒河河流域的水文应答,这几乎每年都经历季风洪水。使用联合英国土地环境模拟器(Jules)陆地面模型(LSM)进行三种不同的建模实验,并覆盖2000-2035期间:在第一套时,只考虑气候变化,jules被驱动CMIP5(耦合型号离读项目5)21种型号的输出,在两个代表浓度途径(RCP4.5和RCP8.5)下,此时土地使用在2010年固定。在第二组,只有土地使用改变被考虑在内,基于Landsat卫星图像和Markov链模拟的气象边界条件,Jules由15个未来土地利用路径的时间系列驱动,而Markov链模拟。在第三组中,考虑到气候变化和土地使用变化,因为CMIP5模型输出与15个未来的土地利用途径一起使用以强制铃木。在仿真期间计算水文变量(流流动,蒸发剂和土壤水分)的变化。

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