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Spatial decision support system for ...

Liu, Qian.

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Spatial decision support system for abandoned coal mine reclamation.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Spatial decision support system for abandoned coal mine reclamation./
Author:	Liu, Qian.
Description:	154 p.
Notes:	Adviser: Paul Mausel.
Contained By:	Dissertation Abstracts International61-10A.
Subject:	Engineering, Environmental. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9991541
ISBN:	059998869X

Spatial decision support system for abandoned coal mine reclamation.
Liu, Qian.

Spatial decision support system for abandoned coal mine reclamation. - 154 p.

Adviser: Paul Mausel.

Thesis (Ph.D.)--Indiana State University, 2000.

Abandoned coal mines and mining activities typically cause severe environmental problems related to erosion and pollutant transportation. Because of the lack of data integration, traditional methods and procedures of reclamation plan design must go through a time-consuming process. As new technologies from a variety of fields have been revolutionizing the way in which planning is conducted, it is practical to find a more efficient approach to deal with complex reclamation planning. In this research, a Geographic Information System (GIS), remotely sensed data, erosion modeling, and Multi-Criteria Decision-Making (MCDM) methods were integrated to implement a Spatial Decision Support System (SDSS) for better reclamation planning. The newly developed Open Development Environment (ODE) and GIS componentware technology were adopted to provide GIS functions and to build the interface. The system was designed to facilitate the prioritizing of specific areas for reclamation within a region of abandoned coal mines.

ISBN: 059998869XSubjects--Topical Terms:

783782
Engineering, Environmental.

Spatial decision support system for abandoned coal mine reclamation.
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020 $a 059998869X
035 $a (UnM)AAI9991541
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040 $a UnM $c UnM
100 1 $a Liu, Qian. $3 1253021
245 1 0 $a Spatial decision support system for abandoned coal mine reclamation.
300 $a 154 p.
500 $a Adviser: Paul Mausel.
500 $a Source: Dissertation Abstracts International, Volume: 61-10, Section: A, page: 4126.
502 $a Thesis (Ph.D.)--Indiana State University, 2000.
520 $a Abandoned coal mines and mining activities typically cause severe environmental problems related to erosion and pollutant transportation. Because of the lack of data integration, traditional methods and procedures of reclamation plan design must go through a time-consuming process. As new technologies from a variety of fields have been revolutionizing the way in which planning is conducted, it is practical to find a more efficient approach to deal with complex reclamation planning. In this research, a Geographic Information System (GIS), remotely sensed data, erosion modeling, and Multi-Criteria Decision-Making (MCDM) methods were integrated to implement a Spatial Decision Support System (SDSS) for better reclamation planning. The newly developed Open Development Environment (ODE) and GIS componentware technology were adopted to provide GIS functions and to build the interface. The system was designed to facilitate the prioritizing of specific areas for reclamation within a region of abandoned coal mines.
520 $a The system was used in the South Fork of Patoka River watershed, Indiana, to provide spatial decision support capabilities for generating and evaluating reclamation strategies. Three physical criteria were chosen for the multi-criteria analysis. By assigning two sets of criteria weights, the spatial decision support system generated two maps of ranked priority based on the preferences. The final maps provided the insights for decision makers to evaluate and make reclamation plans.
520 $a As the results of this research showed, the decision support system could be used as a prototype to address some environmental issues that require decision making processes such as suitability analysis and site selection. It is a practical tool that could help decision makers tremendously in their activities. Also, the integration of advanced technologies in information system industry and the techniques developed in this research promises be beneficial to the development of geographical research methods.
590 $a School code: 0094.
650 4 $a Engineering, Environmental. $3 783782
650 4 $a Geography. $3 524010
690 $a 0366
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710 2 0 $a Indiana State University. $3 1018495
773 0 $t Dissertation Abstracts International $g 61-10A.
790 $a 0094
790 1 0 $a Mausel, Paul, $e advisor
791 $a Ph.D.
792 $a 2000
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9991541