CNRS/Sorbonne Université, UMR 7619 Metis, Paris, France.
UMR LISAH, Univ Montpellier, INRA, IRD, Montpellier SupAgro, Montpellier, France.
Sci Total Environ. 2018 Dec 1;643:850-867. doi: 10.1016/j.scitotenv.2018.06.188. Epub 2018 Jul 4.
The number of small reservoirs has increased due to their reduced cost, the availability of many favourable locations, and their easy access due to proximity. The cumulative impacts of such small reservoirs are not easy to estimate, even when solely considering hydrology, which is partially due to the difficulty in collecting data on the functioning of such reservoirs. However, there is evidence indicating that the cumulative impacts of such reservoirs are significant. The aim of this article is to present a review of the studies that address the cumulative impacts of small reservoirs on hydrology, focusing on the methodology and on the way in which these impacts are assessed. Most of the studies addressing the hydrological cumulative impacts focused on the annual stream discharge, with decreases ranging from 0.2% to 36% with a mean value of 13.4% ± 8% over approximately 30 references. However, it is shown that similar densities of small reservoirs can lead to different impacts on stream discharge in different regions. This result is probably due to the hydro-climatic conditions and makes defining simple indicators to provide a first guess of the cumulative impacts difficult. The impacts also vary in time, with a more intense reduction in the river discharge during the dry years than during the wet years. This finding is certainly an important point to take into consideration in the context of climate change. Two methods are mostly used to estimate cumulative impacts: i) exclusively data-based methods and ii) models. The assumptions, interests and shortcomings of these methods are presented. Scientific tracks are proposed to address the four main shortcomings, namely the estimation of the associated uncertainties, the lack of knowledge on reservoir characteristics and water abstraction and the accuracy of the impact indicators.
由于成本降低、许多有利位置可用以及靠近水源易于进入,小型水库的数量有所增加。即使仅考虑水文因素,这些小型水库的累积影响也不容易估算,部分原因是难以收集有关这些水库运行的数据。然而,有证据表明,这些水库的累积影响是显著的。本文旨在综述研究小型水库对水文的累积影响,重点介绍方法以及评估这些影响的方式。大多数研究关注于年度河流流量,其中减少幅度从 0.2%到 36%不等,约 30 个参考文献的平均值为 13.4%±8%。然而,结果表明,类似密度的小型水库可能导致不同地区的河流流量产生不同的影响。这一结果可能是由于水文气候条件的不同,这使得定义简单的指标来初步估计累积影响变得困难。影响还随时间而变化,在干旱年份河流流量的减少比在湿润年份更为明显。这一发现无疑是在气候变化背景下需要考虑的一个重要因素。目前主要使用两种方法来估计累积影响:i)仅基于数据的方法和 ii)模型。介绍了这些方法的假设、利益和缺点。为了解决四个主要缺点,即关联不确定性的估计、水库特征和水提取知识的缺乏以及影响指标的准确性,提出了科学方案。