Response of climate change and land use land cover change on catchment-scale water balance components: a multi-site calibration approach

Shashi Bhushan Kumar, Ashok Mishra, S. S. Dash
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Abstract

The present study focused on evaluating the separate and combined response of land use land cover and climate change (CC) on future water balance components of a Subarnarekha River basin, spanning between the latitudes 21°33′N–23°18′N and longitudes 85°11′E–87°23′E, situated in the eastern India. The Soil and Water Assessment Tool is used for single-site calibration and multi-site calibration (MSC) of the model to characterize the future water balance components of the basin using the Cellular Automata-Markov model and climate projections under two representative concentration pathway (RCP) scenarios (4.5 and 8.5). The findings indicate that the model parameters obtained through MSC better represent spatial heterogeneity, making it the preferred calibration approach for model simulations. In the middle region of the basin, future annual water yield, groundwater recharge (GWR), and streamflow showed a reduction, respectively, by 46–47%, 29–30%, and 13–15%, while evapotranspiration showed an increase by 5–7% following projected CC under both RCP scenarios. The findings are relevant for policy-makers to mitigate the adverse effects of reduced GWR for sustainable water resources management. Future research may integrate reservoir operation framework to effectively address the water management issues of the basin.
气候变化和土地利用土地覆被变化对集水尺度水平衡组成部分的响应:多站点校准方法
该流域位于北纬 21°33′-23°18′和东经 85°11′-87°23′之间,地处印度东部。本研究重点评估了土地利用、土地覆被和气候变化(CC)对苏巴纳雷卡河流域未来水平衡组成部分的单独和综合响应。土壤和水评估工具用于模型的单点校准和多点校准(MSC),利用细胞自动机-马尔可夫模型和两种代表性浓度路径(RCP)情景(4.5 和 8.5)下的气候预测来描述流域未来的水平衡成分。研究结果表明,通过单元自动机-马尔可夫模型获得的模型参数能更好地代表空间异质性,因此是模型模拟的首选校准方法。在盆地中部地区,在两种 RCP 情景下预测的 CC 之后,未来的年产水量、地下水补给量(GWR)和溪流流量分别减少了 46-47%、29-30% 和 13-15%,而蒸散量则增加了 5-7%。研究结果对政策制定者减轻全球升水速率降低的不利影响、实现可持续水资源管理具有重要意义。未来的研究可能会整合水库运行框架,以有效解决流域的水资源管理问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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