Building an Integrated Governance Model and Finding Management Measures for Nonpoint Source Pollution in Watershed Management of Korea

Abstract

This study intended to develop an integrated governance model and find measures to manage nonpoint source (NPS) pollutions in watershed management. To reach this goal, this study has analyzed NPS pollution management policies in Korea and has employed statistical methods such as expert Delphi survey, analysis of variance, and factor analysis. As a result, this study has found that the favored basic organization form was a private-public cooperative council. The necessary governance-based NPS pollution management measures determined through this study are as follows: to build collaboration mechanisms including those related to motivation provision, trust building, capacity building, and making optimal regulations; to employ financial resources based on principles such as 'polluter-pays', 'recipient-pays', and 'general-tax-source'; and to develop several programs, including system improvement, pilot and management projects, and publicity.

The fuzzy comprehensive evaluation (FCE) and the principal component analysis (PCA) model simulation and its applications in water quality assessment of Nansi Lake Basin, China

“…Proper identification of water quality status in a river or lake system based on limited observations is essential for meeting the goals of environmental management [5]. Numerous methods have been proposed in literature to assess water quality, including expert assessment, index assessment, neural networks, and grey clustering [6][7][8]. Considering that pollution degree of water is a vague concept with inherent imprecision and unclear of classification criteria and the boundaries between different classes of water quality, difficulties of water quality classification and assessment always exist in conventional assessment methodologies such as Water Quality Index (WQI) when describing integrated water quality [9].…”