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Development of environmental modelin...

Liu, Lei.

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Development of environmental modeling methodologies for the management of regional and industrial pollution control systems.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Development of environmental modeling methodologies for the management of regional and industrial pollution control systems./
作者:	Liu, Lei.
面頁冊數:	256 p.
附註:	Source: Dissertation Abstracts International, Volume: 66-06, Section: B, page: 3290.
Contained By:	Dissertation Abstracts International66-06B.
標題:	Engineering, Civil. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR04030
ISBN:	9780494040300

Development of environmental modeling methodologies for the management of regional and industrial pollution control systems.
Liu, Lei.

Development of environmental modeling methodologies for the management of regional and industrial pollution control systems. - 256 p.

Source: Dissertation Abstracts International, Volume: 66-06, Section: B, page: 3290.

Thesis (Ph.D.)--The University of Regina (Canada), 2002.

Environmental pollution problems associated with social and economic development at regional- or industrial-scales have become critical concerns facing both national and local governments around the world for several decades. These issues usually are related to a number of factors, with multi-source, multi-layer, multi-stage, multi-objective, interactive, and uncertain characteristics. For such complex environmental systems, when decisions regarding management practices are to be made, integrated consideration that incorporates various processes and factors within a general framework rather than examining them in isolation would be useful for generating effective management schemes and strategies.

ISBN: 9780494040300Subjects--Topical Terms:

783781
Engineering, Civil.

Development of environmental modeling methodologies for the management of regional and industrial pollution control systems.
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520 $a Environmental pollution problems associated with social and economic development at regional- or industrial-scales have become critical concerns facing both national and local governments around the world for several decades. These issues usually are related to a number of factors, with multi-source, multi-layer, multi-stage, multi-objective, interactive, and uncertain characteristics. For such complex environmental systems, when decisions regarding management practices are to be made, integrated consideration that incorporates various processes and factors within a general framework rather than examining them in isolation would be useful for generating effective management schemes and strategies.
520 $a In this thesis, a set of environmental modeling methodologies have been developed and applied to the management of several types of environmental pollution control systems, which include (i) the development of an inexact chance-constrained mixed-integer linear programming (ICCMILP) model and its application to a case study for managing a regional energy-environment system; (ii) the development of a fuzzy-stochastic robust programming (FSRP) model and its application to a case study for the management of a regional air pollution control system; (iii) the development of an integrated simulation-assessment modeling approach for analyzing cancer risks of groundwater contamination caused by waste landfill leakage and for providing decision support in managing such a groundwater-remediation system; (iv) the description of a 3D multiphase multi-component groundwater flow and contaminant transport model for the management of an aquifer-contaminated subsurface system through simulating surfactant-enhanced aquifer remediation process, exploring its performance and relevant mechanisms, and identifying alternative approaches for site remediation; and (v) the development of a system dynamics model (ErhaiSD) and its application to the planning of a large-scale watershed environmental system in the Lake Erhai Basin, China. For each method, efforts were devoted to system conceptualization, model development, complexity analysis, uncertainty reflection, solution-algorithm study, and case application. The developed methods could be used for identifying and evaluating potential management options and acquiring desired designs. Thus, schemes with sound environmental and socio-economic efficiencies and benefits can be obtained, which provide rational decision support for decision makers in managing contaminated environmental systems.
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