提高水资源利用效率:来自多水源水文变异性的见解及其对干旱区终端湖泊管理的影响

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Kun Liu , Yunfei Chen , Bin Wu , Hailiang Xu , Abdul Waheed , Fan Gao , Bing He , Long Zhou , Jie Wu , Qin Zhang , Jinhao Ju
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引用次数: 0

摘要

全球气候变化加剧了农业用水需求与生态用水需求之间的冲突,给干旱内陆河流域的水资源配置带来了重大挑战。本研究以塔里木河、车尔陈河和太木木湖地区为研究对象,探讨多水源综合管理的潜力。以塔里木河和车尔沁河为研究对象,首次建立了塔里木河和车尔沁河在塔里木河和车尔沁河流域径流的联合分布模型,以评估干旱环境下终端湖泊管理的协同分配策略。利用1960年至2021年的实测径流数据,我们采用贝叶斯向量自回归模型(BVAR)分析了河流和湖泊之间的水力联系。采用多变量经验模态分解(MEMD)识别径流周期特征,小波相干变换评估径流模式的一致性。利用Copula函数构建联合分布模型,量化了太湖生态用水的变异模式及其级联效应。结果表明,车尔沁河对太湖的贡献大于塔里木河,相对于塔里木河的波动,车尔沁河的流量较为稳定。塔里木河的主要循环周期为2.9年,而车尔沁河的主要循环周期为5.7年。Copula模型显示,同步干湿年发生的概率为44.52%,而非同步干湿年发生的概率为55.48%。塔里木河与车尔陈河在干湿径流相遇情景下的互补性为建立高效的联合调度系统、提高区域水资源利用效率提供了基础。该研究强调了加强多水源协调和加深对干湿径流转换动态的理解对加强干旱区水安全和优化资源管理的关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Enhancing water use efficiency: Insights from hydrological variability encounter of multiple water sources and implications for terminal Lake management in arid regions

Enhancing water use efficiency: Insights from hydrological variability encounter of multiple water sources and implications for terminal Lake management in arid regions
The escalating conflict between agricultural and ecological water demands, intensified by global climate change, poses significant challenges for water resource allocation in arid inland river basins. This study investigates the potential for integrated management of multiple water sources within the context of the Tarim River, Cherchen River, and Taitema Lake area. For the first time, we developed a joint distribution model of runoff for the Tarim and Cherchen Rivers, informed by the dynamics of Taitema Lake, to assess collaborative allocation strategies for terminal lake management in arid environments. Utilizing measured runoff data from 1960 to 2021, we employed a Bayesian vector autoregression model (BVAR) to analyze hydraulic connections between the rivers and the lake. Multivariate empirical mode decomposition (MEMD) was applied to identify periodic characteristics of runoff, while wavelet coherence transform assessed the consistency of runoff patterns. A Copula function was then utilized to construct a joint distribution model, quantifying variability patterns and their cascading effects on ecological water use in Taitema Lake. Findings reveal that the Cherchen River contributes more significantly to Taitema Lake than the Tarim River, exhibiting stable flows compared to the latter’s fluctuations. Significant lead-lag differences in flows were identified, with primary cycles of 2.9 years for the Tarim River and 5.7 years for the Cherchen River. The Copula model demonstrated a 44.52 % probability of synchronous wet-dry year occurrences, compared to 55.48 % for asynchronous occurrences. The complementarity between the Tarim River and the Cherchen River during wet and dry runoff encounter scenarios provides a foundation for establishing an efficient joint scheduling system and enhancing regional water use efficiency. This study underscores the critical role of strengthening multi-source water coordination and deepening understanding the dynamics of wet-dry runoff transitions to enhance water security and optimize resource management in arid regions.
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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