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改进的水文变化指标用于量化中小型河流中大坝对水流模式的影响。

Improved indicators of hydrological alteration for quantifying the dam-induced impacts on flow regimes in small and medium-sized rivers.

机构信息

College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China.

College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China.

出版信息

Sci Total Environ. 2023 Apr 1;867:161499. doi: 10.1016/j.scitotenv.2023.161499. Epub 2023 Jan 9.

Abstract

Dam construction is the main factor altering the flow regimes, while few studies have described that in small and medium-sized rivers (SMRs). The universal indicators of hydrological alteration (IHA) that are widely used in large rivers calculate the parameters just on the annual scale and omit the intra-annual seasonal differences of the flow regimes in SMRs. To fully quantify dam-induced impacts on the flow regimes in SMRs, this paper proposes the improved IHA (IIHA) based on the universal IHA. Then two methods of range of variable approach (RVA) and histogram matching approach (HMA) are used to assess the flow regime alteration. Finally, two indicators of water quantity level (WQL)/hydrological alteration (HA) defined by the parameters in IIHA are employed to evaluate the influence of flow regime alteration on the riverine ecosystem. The case study of a typical SMR named Liujiaping River in Hunan Province, China, verifies the necessity of improving IHA where more hydrological parameters calculated in different periods can comprehensively reflect the flow regime alteration. We find that the integrated hydrological alteration of Liujiaping River assessed by RVA and HMA are both at a high level, and the flow regimes have been significantly altered after the dam construction. Also, the indicators of WQL and HA have higher correlation coefficients with 77 of IIHA parameters and thus can retain as much information of the flow regimes as possible to evaluate the influence of its alteration on the riverine ecosystem.

摘要

大坝建设是改变水流状态的主要因素,而很少有研究描述过小河流(SMRs)中的这种情况。广泛用于大河的通用水文变化指标(IHA)仅在年度尺度上计算参数,忽略了 SMRs 中水流状态的年内季节性差异。为了充分量化大坝对 SMRs 水流状态的影响,本文提出了基于通用 IHA 的改进 IHA(IIHA)。然后,使用范围变量方法(RVA)和直方图匹配方法(HMA)两种方法来评估水流状态的变化。最后,使用由 IIHA 参数定义的两个水量水平(WQL)/水文变化(HA)指标来评估水流状态变化对河流生态系统的影响。以中国湖南省典型的 SMR 刘家坪河为例,验证了改进 IHA 的必要性,其中在不同时期计算的更多水文参数可以全面反映水流状态的变化。我们发现,RVA 和 HMA 评估的刘家坪河综合水文变化都处于较高水平,大坝建设后水流状态发生了显著变化。此外,WQL 和 HA 指标与 77 个 IIHA 参数的相关系数更高,因此可以保留尽可能多的水流状态信息来评估其变化对河流生态系统的影响。

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