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基于证据的指标方法指导水电开发的初步环境影响评估。

Evidence-based indicator approach to guide preliminary environmental impact assessments of hydropower development.

机构信息

Department of Environmental Science, Baylor University, Waco, TX, 76798-7266, USA.

Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.

出版信息

J Environ Manage. 2020 Jul 1;265:110489. doi: 10.1016/j.jenvman.2020.110489. Epub 2020 Apr 8.

Abstract

Global expansion of hydropower resources has increased in recent years to meet growing energy demands and fill worldwide gaps in electricity supply. However, hydropower induces significant environmental impacts on river ecosystems - impacts that are addressed through environmental impact assessment (EIA) processes. The need for effective EIA processes is increasing as environmental regulations are either stressed in developing countries undertaking rapid expansion of hydropower capacity or time- and resource-intensive in developed countries. Part of the challenge in implementing EIAs lies in reaching a consensus among stakeholders regarding the most important environmental factors as the focus of impact studies. To help address this gap, we developed a weight-of-evidence approach (and toolkit) as a preliminary and coarse assessment of the most relevant impacts of hydropower on primary components of the river ecosystem, as identified using river function indicators. Through a science-based questionnaire and predictive model, users identify which environmental indicators may be impacted during hydropower development as well as those indicators that have the highest levels of uncertainty and require further investigation. Furthermore, an assessment tool visualizes inter-dependent indicator relationships, which help formulate hypotheses about causal relationships explored through environmental studies. We apply these tools to four existing hydropower projects and one hypothetical new hydropower project of varying sizes and environmental contexts. We observed consistencies between the output of our tools and the Federal Energy Regulatory Commission licensing process (inclusive of EIAs) but also important differences arising from holistic scientific evaluations (our toolkit) versus regulatory policies. The tools presented herein are aimed at increasing the efficiency of the EIA processes that engender environmental studies without loss of rigor or transparency of rationale necessary for understanding, considering, and mitigating the environmental consequences of hydropower.

摘要

近年来,为了满足不断增长的能源需求和填补全球电力供应缺口,全球水力资源开发规模不断扩大。然而,水电会对河流生态系统产生重大的环境影响,这些影响需要通过环境影响评估(EIA)程序来解决。随着发展中国家在快速扩大水电容量方面面临环境法规的压力,或者在发达国家面临时间和资源密集型的挑战,对有效 EIA 程序的需求不断增加。在实施 EIA 方面的部分挑战在于,在利益相关者之间就最重要的环境因素达成共识,将其作为影响研究的重点。为了帮助解决这一差距,我们开发了一种证据权重方法(和工具包),作为对水力发电对河流生态系统主要组成部分的最相关影响的初步和粗略评估,这些影响是使用河流功能指标确定的。通过基于科学的问卷和预测模型,用户可以确定在水电开发过程中哪些环境指标可能受到影响,以及哪些指标具有最高的不确定性,需要进一步调查。此外,评估工具还可视化了相互依存的指标关系,这有助于形成关于通过环境研究探索因果关系的假设。我们将这些工具应用于四个现有的水电项目和一个不同规模和环境背景的假设性新水电项目。我们观察到我们的工具的输出与联邦能源监管委员会许可程序(包括 EIA)之间存在一致性,但也观察到由于整体科学评估(我们的工具包)与监管政策之间的重要差异。本文介绍的工具旨在提高 EIA 流程的效率,这些流程引发了环境研究,而不会丧失理解、考虑和减轻水电环境后果所需的严谨性或合理性透明度。

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