EDSS及其在EIA中的应用

区域环境系统是由人-地相互作用而形成的开放的和复杂的社会、经济与环境的复合巨系统,由此产生的复杂环境问题给环境决策带来了诸多的不确定性,而环境决策支持系统(EDSS)可以辅助环境保护决策工作者提高决策的科学性和有效性.叙述了EDSS的概念,全面回顾了30多年来国内外环境决策支持系统在水环境规划与管理、大气环境质量管理、城市固体废物管理等研究领域的应用进展,并举例重点分析了其在环境影响评价(EIA)中的应用.同时具备强大数据更新能力和环境质量分析预测功能的EDSS,是解决EIA工作中复杂问题的有力工具.基于近年来新技术的发展,EDSS将在智能化,3S技术及多媒体技术应用等方面得到进一步发展,并在环境规划与管理和EIA等工作中发挥更加重要的作用.      

JMarinas: A simple tool for the environmentally sound management of small marinas

A novel index for the preliminary evaluation of the distribution of pollutants in the harbor environment (Small Marinas Pollution Risk) is proposed. An associated Environmental Decision Support System (JMarinas) has been developed which implements the Multiple Attribute Decision Making theory (MADM) and uses the harbor’s map as geographical support for computations. The MADM matrix is built considering various attributes of the marina and is calculated using both qualitative and quantitative data.     

环境决策支持系统的设计技术及发展趋势

简要论述了环境决策支持系统(EDSS)的发展历程,提出了EDSS开发技术的六大构成部分:应用平台的选择;系统的开发方式的选择;系统的开发工具的选择;系统的组成结构的建立;系统的基本功能的设计;系统的开放接口的设计。对系统设计的关键技术进行了分析,依据EDSS的应用现状,指出EDSS的发展趋势,对实际应用具有一定的指导意义和实用价值。     

Optimized forest degradation model (OFDM): an environmental decision support system for environmental impact assessment using an artificial neural network

The purpose of this article is Artificial Neural Network (ANN) modeling using ecological and associated factors with forest degradation to predict the degradation of ecosystem, thereby enabling us to assess the environmental impacts of forest projects as an Environmental Decision Support System (EDSS). Results of the Multi-Layer Feed-Forward Network (MLFN), trained for Optimized Forest Degradation Model (OFDM), indicate that the performance of OFDM is more than other degradation models. Changes in forest management activities with higher value in sensitivity analysis help forest managers to decrease OFDM entity and environment impacts. The system is an intelligent EDSS, which allows the decision-maker to model criteria in forest degradation in order to reach and employ the optimal allocation plan. Considering results, multi criteria decision analysis (MCDA) approaches based on ANN, is an encouraging and robust method for solving MCDA problems.