【正文】
中國礦業(yè) 大學(xué) 12 屆 本科生 畢業(yè)設(shè)計(jì)(論文) 第 139 頁 翻譯部分 英文原文 Development of a Decision Support System for Groundwater Pollution Control at Coalmining Contaminated Sites Xiaodong Zhang Faculty of Engineering University of Regina Christine W. Chan Faculty of Engineering/Energy Informatics Laboratory University of Regina Gordon Huang Faculty of Engineering University of Regina Abstract: Groundwater contamination is one of the major environment concerns at coalmining sites. Highly saline or highly acidic water from coalmining can introduce serious pollution to groundwater and adversely affect its quality. This impact may last a long time even after the mining activity has ceased. Identification of an appropriate remediation technique is critical for effective pollution control. However, due to plexity of considerations involved in the pollution, it is difficult for environmental managers to select optimal techniques. This paper presents a robust decision support system named GCDSS that integrates the functional ponents of mine characterization, numerical modeling, risk assessment and remediationtechnique selection. The results from a case study indicated this system can help improve efficiencies of groundwater pollution control at coalmining contaminated sites. Keywords: Decision support system。 acid mine drainage (AMD)。 groundwater。 coal mine 1 Introduction Groundwater contamination is one of the major environmental concerns at coal mining sites. Acid mine drainage (AMD) is the primary problem associated 中國礦業(yè) 大學(xué) 12 屆 本科生 畢業(yè)設(shè)計(jì)(論文) 第 140 頁 with pollution from coal mining. AMD is often highly acidic water rich in heavy metals, which can introduce serious pollution to groundwater and adversely affect its quality. A variety of AMD treatment technologies and groundwater remediation methods were developed. Due to the plexities of these technologies, it is often difficult for environmental managers to make optimal decisions in treating specific sites. Decision support systems (DSS) can assist in solving this problem. Many DSSs have been proposed for managing coal mining operations and groundwater remediation. However, there is a lack of study that bines the functions of mine characterization, numerical modeling, risk assessment and remediation technique selection within a DSS. The objective of this study is to address this gap in previous researches and develop an integrated decision support system (GCDSS) that supports all these functions for groundwater pollution control at coalmining contaminated sites. 2 Background: AMD and its treatment AMD from coal mining is a difficult and costly problem. It can seriously affect groundwater quality and cause metals to leach from mine wastes. AMD results from the oxidation of metal sulfides, particularly pyrite (FeS2). Under the acidic conditions, oxidation of pyrite occurs in the following reaction [1]: This reaction demonstrates the polluting capab