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赞比亚卢翁布瓦子流域气候变化下集水区水资源分配评估

Assessment of catchment water resources allocation under climate change in Luwombwa sub-catchment, Zambia.

作者信息

Mwelwa Dickson, Mwaanga Phenny, Nguvulu Alick, Tena Tewodros M, Taye Gebeyehu

机构信息

School of Graduate Studies, Copperbelt University, P.O. Box 21692, Kitwe, Zambia.

Department of Environmental Engineering, School of Mines and Mineral Sciences, Copperbelt University, P.O. Box 21692, Kitwe, Zambia.

出版信息

Heliyon. 2024 Oct 30;10(21):e39962. doi: 10.1016/j.heliyon.2024.e39962. eCollection 2024 Nov 15.

Abstract

The uncertainty in climate change and high water demand pose pressure on the natural water resources supply. Not only does this require better understanding but also a call for immediate interventions, mitigation and adaptive measures. This study evaluates catchment water resources in the Luwombwa sub-catchment in Zambia through statistical analysis in the downscaling of past, present and future climatic variables from the CMIP6 climatic model. These variables are then integrated into WEAP - a semi-distributed hydrological and water evaluation model - to perform water demand and allocation scenario modelling. Mult-site calibration and validation were conducted on five selected micro-catchments within Luwombwa sub-catchment. The model performance was assessed usng the R, NSE and PBIAS as the objective functions. Satisfactory values of 92 % for R, 82 % for NSE and 6.9 % for PBIAS were achieved. This allowed for scenario modelling on water demand and allocation among competing users. Three future scenarios (2022-2050) were developed from the historical to baseline (1988-2022) and included state of water resources availability under climate change, expansion of irrigation area and impact of dam construction in the sub-catchment. The study reveals a decrease of 20 % in sub-catchment's water availability resulting from 9.3 % (equivalent to 4C) rise in maximum temperature and 4.5 % reduction in rainfall within the entire sub-catchment. This is especially under the persistence of SSP370 climate variability scenario projections downscaled from four GCM models by the year 2050. The study further revealed that the change point for anticipated future climate extremes is likely to occur between 2027 and 2030. The results are indicative of downward trends in streamflow under climate change and socioeconomic development leading to increase in water value and water scarcity. The insights from the study are critical to inform formulation of effective catchment water resources management strategies such as the development of management plans and adapation measures in the face of climate change and the needs for different stakeholders involvement.

摘要

气候变化的不确定性和高需水量给自然水资源供应带来了压力。这不仅需要更好的理解,还需要立即采取干预、缓解和适应措施。本研究通过对CMIP6气候模型中过去、现在和未来气候变量进行降尺度统计分析,评估了赞比亚卢翁布瓦子流域的集水区水资源。然后将这些变量整合到WEAP(一个半分布式水文和水评估模型)中,以进行需水和配水情景建模。在卢翁布瓦子流域内选定的五个微型集水区进行了多站点校准和验证。使用R、NSE和PBIAS作为目标函数评估模型性能。R值达到92%、NSE值达到82%、PBIAS值达到6.9%,结果令人满意。这使得能够对竞争用户之间的需水和配水进行情景建模。从历史时期到基线期(1988 - 2022年)制定了三种未来情景(2022 - 2050年),包括气候变化下的水资源可利用状况、灌溉面积的扩大以及子流域内大坝建设的影响。研究表明,由于整个子流域最高气温上升9.3%(相当于4摄氏度)和降雨量减少4.5%,子流域的水资源可利用量减少了20%。特别是在到2050年从四个全球气候模型降尺度的SSP370气候变率情景预测持续存在的情况下。研究还表明,预期未来极端气候的变化点可能出现在2027年至2030年之间。结果表明,在气候变化和社会经济发展的情况下,河流流量呈下降趋势,导致水价值上升和水资源短缺。该研究的见解对于制定有效的集水区水资源管理策略至关重要,例如制定管理计划以及面对气候变化时的适应措施,以及不同利益相关者参与的需求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d5f/11567020/1477908a20a9/gr1.jpg

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