Evaluating the Impact of Policy-induced Land Use Management Practices on Non-point Source Pollution Using a Spatial Decision Support System

Sengupta, Raja; Bennett, David A.; Beaulieu, Jeffrey; Kraft, Steven E.

doi:10.1080/02508060008686851

Cited by 17 publications

(12 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the last two centuries, conversion of the forested land to cropland has considerably altered the hydrologic response of the Big Creek basin (Sengupta et al, 2000;Lant et al, 2001). Net erosion from the cultivated cropland in the basin is approximately 16.35 Mg ha − 1 yr − 1 and nearly 2207 ha are classified as highly erodible land (Guetersloh, 2001).…”

Section: Regional Settingmentioning

confidence: 99%

Modeling impacts of erosion and deposition on soil organic carbon in the Big Creek Basin of southern Illinois

Yadav

Malanson

2009

Geomorphology

View full text Add to dashboard Cite

Section: Regional Settingmentioning

confidence: 99%

Modeling impacts of erosion and deposition on soil organic carbon in the Big Creek Basin of southern Illinois

Yadav

Malanson

2009

Geomorphology

View full text Add to dashboard Cite

“…Lant et al (2005) examines the policy implications of the analysis conducted using this spatial decision support system (SDSS). The structure of SDSS more in-depth is described by Beauleu et al (2000), Sengupta et al (2000), Sengupta (2003), Sengupta and Benett (2003), Bennett et al (2000Bennett et al ( , 2004. Different elements can be extracted that are supporting one decision rather than another.…”

Section: Stated That Locationalmentioning

confidence: 94%

Sustainable City Compactness Evaluation on the Basis of Gis and Bayes Rule

Turskis

Zavadskas

Zagorskas

2006

International Journal of Strategic Property Management

View full text Add to dashboard Cite

For a long period in Lithuania there was a tendency to build extensively leaving huge wasteland insertions in the urban fabric of the cities. As a result cities overspread such a big territory that the edges of the cities and location of provision centers are almost inconceivable. In this paper the method of game theory fitted for Geographic Information System (GIS) is given to evaluate and calculate the rate of city compactness. This methodology can help city planners to determine and localize problems of urban fabric density, to enhance motivation and versatility of decisions. For evaluation of city compactness efficiency attributes and the weights of it based on expert judgment are established. This model is applied to Kaunas city. On the basis of GIS the data bank of population, public transport stops and places of public attraction is prepared. Area of the city was divided by rectangular grid and analysis was made calculating efficiency attributes for each sector, applying Bayes rule. The results were visualized as diagrams showing most problematical areas.

show abstract

“…These communities are still adopting GIS, and using that adoption as a platform, these There are many reports of linking two or more simulation models. For example, Sengupta et al (2000) created a spatial decision support system by combining a GIS and the spatial models GEOLP and AGNPS behind a single GUI to evaluate policy alternatives in a watershed. Prato & Hajkowicz (1999) developed a spatially explicit decision support system that employs a multi-attribute decision-making model to help a property manager select a land and water resource management system (LWRMS).…”

Section: Historical Backgroundmentioning

confidence: 99%

Conceptual user interface for the land management system

Westervelt

Holland

2002

Journal of Hydroinformatics

View full text Add to dashboard Cite

This paper explores the conceptual user interface requirements of the Land Management System (LMS), a next-generation system designed to support the development of location-specific landscape/watershed management oriented simulation models. Currently available landscape/watershed models tend to be discipline-specific, focusing only on hydrology, ecology, social, economic or agronomic aspects of the landscape's subsystems. Feedback loops among the different subsystems tend be ignored, and this can result in long-term predictions that may not be useful. LMS will provide landscape and watershed managers with sets of software modules that can be linked together to represent and simulate unique local conditions. A design challenge of LMS is to develop a user interface that makes it possible for a watershed/landscape manager to develop and use multidisciplinary spatially explicit landscape simulation models that retain the scientific rigour of current scientist-oriented simulation models. This paper outlines a solution in response to that challenge.

show abstract

Evaluating the Impact of Policy-induced Land Use Management Practices on Non-point Source Pollution Using a Spatial Decision Support System

Cited by 17 publications

References 2 publications

Modeling impacts of erosion and deposition on soil organic carbon in the Big Creek Basin of southern Illinois

Modeling impacts of erosion and deposition on soil organic carbon in the Big Creek Basin of southern Illinois

Sustainable City Compactness Evaluation on the Basis of Gis and Bayes Rule

Conceptual user interface for the land management system

Contact Info

Product

Resources

About