Land is a finite natural resource that is increasingly getting exhausted as a result of land contamination. Land is made up of soil and groundwater, both of which have many functions for which we depend on, including provision of food and water, supporting shelter, natural flood defence, carbon sequestration, etc. Contaminants in land also pose a number of threats to public health and the environment; other natural resources; and have detrimental effects on property such as buildings, crops and livestock. The most effective method of dealing with these contaminants is to cleanup and return the sites to beneficial use. The cleanup process involves making a choice from amongst competing remediation technologies, where the wrong choice may have disastrous economic, environmental and/or social impacts. Contaminated land management is therefore much broader than the selection and implementation of remedial solutions, and requires extensive data collection and analysis at huge costs and effort. The need for decision support in contaminated land management decision-making has long been widely recognised, and in recent years a large number of Decision Support Systems (DSS) have been developed. This thesis presents the development of a Web-based knowledge-based DSS as an integrated management framework for the risk assessment of human health from, and sustainable management of, contaminated land. The developed DSS is based on the current UK contaminated land regime, published guidelines and technical reports from the UK Environment Agency (EA) and Department for Environment, Food and Rural Affairs (DEFRA) and other Government agencies and departments. The decision-making process of the developed DSS comprises of key stages in the risk assessment and management of contaminated land: (i) preliminary qualitative risk assessment; (ii) generic quantitative risk assessment; and (iii) options appraisal of remediation technologies and remediation design. The developed DSS requires site specific details and measured contaminant concentrations from site samples as input and produces a site specific report as output. The DSS output is intended to be used as information to support with contaminated land management decision-making.

The operational management of Water Distribution Systems (WDS), particularly under failure conditions when the behaviour of a WDS is not well understood, is a challenging problem. The research presented in this thesis describes the development of a methodology for risk-based diagnostics of failures in WDS and its application in a near real-time Decision Support System (DSS) for WDS’ operation. In this thesis, the use of evidential reasoning to estimate the likely location of a burst pipe within a WDS by combining outputs of several models is investigated. A novel Dempster-Shafer model is developed, which fuses evidence provided by a pipe burst prediction model, a customer contact model and a hydraulic model to increase confidence in correctly locating a burst pipe. A new impact model, based on a pressure driven hydraulic solver coupled with a Geographic Information System (GIS) to capture the adverse effects of failures from an operational perspective, is created. A set of Key Performance Indicators used to quantify impact, are aggregated according to the preferences of a Decision Maker (DM) using the Multi-Attribute Value Theory. The potential of distributed computing to deliver a near real-time performance of computationally expensive impact assessment is explored. A novel methodology to prioritise alarms (i.e., detected abnormal flow events) in a WDS is proposed. The relative significance of an alarm is expressed using a measure of an overall risk represented by a set of all potential incidents (e.g., pipe bursts), which might have caused it. The DM’s attitude towards risk is taken into account during the aggregation process. The implementation of the main constituents of the proposed risk-based pipe burst diagnostics methodology, which forms a key component of the aforementioned DSS prototype, are tested on a number of real life and semi-real case studies. The methodology has the potential to enable more informed decisions to be made in the near real-time failure management in WDS.

本文共壹冊，分柒章，約四萬言，章節目錄如下： 第一章：導論 一、前言，二、研究動機，三、研究目的，四、研究架構，五、研究限制。 第二章：緊急事故本質探討 一、名詞解釋，二、緊急事故性質，三、緊急事故影響與後果，四、面臨緊急事故時 之個人與組織行為，五、災變之防治。 第三章：緊急事故的管理 一、管理架構，二、管理之規劃與控制活動。 第四章：決策支援系統理論基礎 一、決策支援系統定義與特性，二、傳統EDP,MIS 與DSS 之比較，三、系統建立方法 。 第五章：緊急事故管理之決策支援系統設計 一、緊急事故下之決策程序，二、決策特徵，三、功能架構，四、系統建立。 第六章：個案實例 一、個案背景介紹，二、核能電廠緊急應變措施，三、系統需求，四、建立與實施。 第七章：結論與建議 一、結論，二、建議。 環繞人類四周環境中，常有許多不確定的災變隨時可能降臨。且發生災變時，如果資 訊缺乏或運用不當，常造成不必要的損失與傷亡。本研究係研究有關決策支援系統在 緊急事故管理上之應用，籍資訊的提供與利用，以支援緊急事故防治。 決策支援系統具有（一）易於使用，（二）模式庫與資料庫整合，（三）適於解決非 結構性問題，（四）具有良好彈性等特性，而緊急事故管理更明顯涉及決策者的價值 判斷，及對不確定環境的偏好，因此面臨這種結構程度低的問題，一個考慮完整的決 策支援系統將能提供管理人員更有效的支援。 本文之研究共分四部份，第一部份探討緊急事故的特性與本質，及面臨災變時人與群 體的行為與反應，第二部份探討緊急事故管理之決策程序與決策特性，第三部份則以 文獻分析方式探討決策支援系統相關文獻，以作為建造系統時指引，第四部份則以個 案研究法，針對核能電廠緊急事故之疏散掩蔽決策，提出應建立之決策支援系統。

Gegenstand der Arbeit ist die konzeptionelle Ausarbeitung einer virtuellen Anwendung, die es den Anwendern in der Flugzeugstrukturkonstruktion im Kontext der additiven Fertigung ermöglicht, interaktiv und intuitiv wichtige Entscheidungen für den Bauteilentstehungsprozess zu treffen. Dabei soll sich die Anwendung adaptiv je nach Anwendungsfall in der Informationsbereitstellung an die jeweils benötigten Anforderungen und Bedürfnisse des Anwenders anpassen können.