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Investigating the impact of climate and land-use land cover changes on hydrological predictions over the Krishna river basin under present and future scenarios

机译:调查气候和土地利用土地涵盖在当前和未来情景下对克里希纳河流域水文预测的变化

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The climate and Land Use/Land Cover (LULC) changes evince the considerable impact on water balance components by altering the hydrological processes. So, the present work focuses on the evaluation of the combined impact of both the climate and LULC changes along with and without water storage structures on water balance components of the Krishna river basin, India under present and future scenarios with the help of Soil Water and Assessment Tool (SWAT). Sequential Uncertainty Fitting algorithm (SUFI-2) was used for the model calibration and validation, which were carried out at the Vijayawada gauge station. The coefficient of determination (R~2) and Nash-Sutcliffe efficiency (NSE) values obtained during the calibration period were 0.63 and 0.61, respectively, whereas, in validation, these values were found to be 0.61 and 0.56, indicates satisfactory results. The results showed that the model simulations and performance were significantly influenced by the presence of water storage structures, whereas the LULC changes were effective at the sub-watershed level. Future LULC maps of 2025, 2055, and 2085 were simulated from the Cellular Automata (CA) Markov Chain model, and they were used along with future climate projections to investigate its impact on water balance components. The climate model projects an increase of water balance components specifically, surface runoff, streamflow, and water yield, except for evapotranspiration in the future. Whereas, the future LULC changes may influence in offsetting the streamflow 20 to 30% reference to the observed flow. Thus, LULC changes were significantly influenced the model simulations; therefore, it is essential to consider the LULC changes along with climate scenarios in climate change studies. Overall, the surface runoff, water yield, and streamflow may increase by 50% under Representative Concentration Pathway (RCP) 4.5, and they may double under the RCP 8.5 scenario by the end of the century.
机译:气候和土地使用/陆地覆盖(LULC)变化通过改变水文过程来实现对水平衡成分的相当大的影响。因此,目前的工作侧重于评估气候和LULC变化以及在当前和未来情景下的克里希纳河流域的水平衡部件的储水结构以及土壤水的帮助下评估工具(SWAT)。顺序不确定性拟合算法(SUFI-2)用于模型校准和验证,在Vijayawada仪表站进行。在校准期间获得的测定系数(R〜2)和NASH-SUTCLIFFE效率(NSE)值分别为0.63和0.61,而在验证中,这些值被发现为0.61和0.56,表明令人满意的结果。结果表明,模型模拟和性能受到储水结构的存在显着影响,而Lulc的变化在亚流域水平上有效。 2025,2055和2085的未来LULC地图是从蜂窝自动机(CA)Markov链模型的模拟,并且它们与未来的气候预测一起使用,以调查其对水平衡成分的影响。气候模型将在未来蒸散除外,水平零件的增加,表面径流,流出和水收益率为。然而,未来的LULC变化可能会影响抵消流流20至30%的参考,对观察到的流程抵消。因此,LULC变化显着影响了模型模拟;因此,必须考虑LULC的变化以及气候变化研究中的气候情景。总体而言,表面径流,水产量和流流量可以在代表浓度途径(RCP)4.5下增加50%,并且在本世纪末的RCP 8.5场景下可能会增加一倍。

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