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社会经济系统对重度干扰流域水系的影响。

The impact of socioeconomic system on the river system in a heavily disturbed basin.

机构信息

School of Water Conservancy & Environment, Zhengzhou University, Zhengzhou 450001, China.

CSIRO Data61, Leeuwin Centre, 65 Brockway Road, Floreat, WA 6014, Australia.

出版信息

Sci Total Environ. 2019 Apr 10;660:851-864. doi: 10.1016/j.scitotenv.2019.01.075. Epub 2019 Jan 9.

Abstract

The quantitative assessment of the impact of socioeconomic development on river water environment is important to the scientific management of river basins. However, current methods have high data requirements or are difficult to deal with the impact between systems (which is defined by a collection of indicators). This paper first uses canonical correlation analysis (CCA) to understand the relationship between socialeconomic system (defined by a set of indicators reflecting socioeconomic development) and river system (defined by a set of indicators reflecting river water environment), and then proposes a method to assess the impact of socioeconomic system on river system by integrating CCA and the degrees of influence of river system indicators. The proposed method and framework are applied to the Shaying River Basin with the characteristics of multi-sluices, high pollution, and dense population based on data from 2000 to 2015. Results indicate that socioeconomic and river systems are highly related to each other with the average influence degree of greater than 0.9, indicating very close relationships between socioeconomic and river systems. The changes of influence degree vary between 0.19 and 0.79 with a turning point in 2010. Most of the influence levels are "moderate" (influence degree between 0.4 and 0.6) or "high" (influence degrees between 0.6 and 0.8) before 2010 but become to "low" (influence degrees between 0.2 and 0.4) since then. In addition, the influence degree shows a significant increase from upstream to downstream with Zhoukou Station as the turning point, meaning that the stronger the human activity is, the greater the impact of the socioeconomic system on the river system is. The main influential factors are population density and sewage treatment rate. The proposed method contributes to the research in river management with limited data availability and the results can serve as an important reference for basin management.

摘要

社会经济发展对河流水环境的影响的定量评估对流域的科学管理至关重要。然而,目前的方法数据要求较高,或者难以处理系统之间的影响(由一组反映社会经济发展的指标定义)。本文首先使用典型相关分析(CCA)来了解社会经济系统(由一组反映社会经济发展的指标定义)与河流系统(由一组反映河流水环境的指标定义)之间的关系,然后提出了一种通过整合 CCA 和河流系统指标的影响程度来评估社会经济系统对河流系统影响的方法。所提出的方法和框架应用于沙颍河流域,该流域具有多水闸、高污染和人口密集的特点,基于 2000 年至 2015 年的数据。结果表明,社会经济和河流系统高度相关,平均影响程度大于 0.9,表明社会经济和河流系统之间存在非常密切的关系。影响程度的变化在 0.19 到 0.79 之间,转折点在 2010 年。在 2010 年之前,大多数影响水平处于“中等”(影响程度在 0.4 到 0.6 之间)或“高”(影响程度在 0.6 到 0.8 之间),但从那时起变为“低”(影响程度在 0.2 到 0.4 之间)。此外,影响程度从上到下呈显著增加趋势,以周口站为转折点,这意味着人类活动越强,社会经济系统对河流系统的影响就越大。主要的影响因素是人口密度和污水处理率。所提出的方法有助于在数据可用性有限的情况下进行河流管理研究,研究结果可为流域管理提供重要参考。

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