Preparation of a geotechnical microzonation model using Geographical Information Systems based on Multicriteria Decision Analysis

2006 ◽  
Vol 87 (3-4) ◽  
pp. 241-255 ◽  
Author(s):  
Çağıl Kolat ◽  
Vedat Doyuran ◽  
Can Ayday ◽  
M. Lütfi Süzen
Keyword(s):  
Information Systems ◽  
Decision Analysis ◽  
Geographical Information Systems ◽  
Multicriteria Decision Analysis ◽  
Geographical Information ◽  
Multicriteria Decision

IMPLEMENTATION OF GIS-BASED MULTICRITERIA DECISION ANALYSIS WITH VB IN ArcGIS

2011 ◽  
Vol 10 (06) ◽  
pp. 1023-1042 ◽  
Author(s):  
DERYA OZTURK ◽  
FATMAGUL BATUK
Keyword(s):  
Decision Analysis ◽  
Geographical Information Systems ◽  
Weighted Average ◽  
Multicriteria Decision Analysis ◽  
Geographical Information ◽  
Scale Transformation ◽  
Linear Scale ◽  
Validity And Reliability ◽  
Flood Vulnerability ◽  
Multicriteria Decision

This article focuses on the integration of multicriteria decision analysis (MCDA) and geographical information systems (GIS) and introduces a tool, GIS–MCDA, written in visual basic in ArcGIS for GIS-based MCDA. The GIS–MCDA deals with raster-based data sets and includes standardization, weighting and decision analysis methods, and sensitivity analysis. Simple additive weighting, weighted product method, technique for order preference by similarity to ideal solution, compromise programming, analytic hierarchy process, and ordered weighted average for decision analysis; ranking, rating, and pairwise comparison for weighting and linear scale transformation for standardization can be applied by using this tool. The maximum score and score range procedures can be used for linear scale transformation. In this article also an application of the GIS–MCDA to determine the flood vulnerability of the South Marmara Basin in Turkey is examined. To check the validity and reliability of the results, the flood vulnerability layer is compared with flood-affected areas.

scholarly journals Implications of a Spatial Multicriteria Decision Analysis for Urban Development in Ulaanbaatar, Mongolia

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
Purevtseren Myagmartseren ◽  
Myagmarsuren Buyandelger ◽  
S. Anders Brandt
Keyword(s):  
Urban Development ◽  
Decision Analysis ◽  
Geographical Information Systems ◽  
New Technology ◽  
Multicriteria Decision Analysis ◽  
Geographical Information ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Elevation Data ◽  
Hierarchy Process

New technology has provided new tools for effective spatial planning. Through the example of locating suitable sites for urban development in Ulaanbaatar, this paper illustrates how multicriteria decision analysis and geographical information systems can be used for more effective urban planning. Several constraint and factor criteria were identified, transformed into map layers, and weighted together using the analytic hierarchy process. Besides localization results, this study shows the effect of using poor elevation data and how a sensitivity analysis can be applied to yield further information, spot weighting weaknesses, and assess the quality of the criteria.

scholarly journals Developing a Multicriteria Decision Analysis Framework to Evaluate Reclaimed Wastewater Use for Agricultural Irrigation: The Case Study of Maryland

Hydrology ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 4
Author(s):  
Manashi Paul ◽  
Masoud Negahban-Azar ◽  
Adel Shirmohammadi ◽  
Hubert Montas
Keyword(s):  
Decision Analysis ◽  
Agricultural Land ◽  
Groundwater Vulnerability ◽  
Multicriteria Decision Analysis ◽  
Geographical Information ◽  
Agricultural Irrigation ◽  
Decision Tool ◽  
Recycled Water ◽  
Multicriteria Decision ◽  
Pollutant Loading

Groundwater is the main source of irrigation and residential use in the Eastern Shore Maryland, which is experiencing challenges regarding overuse, saltwater intrusion, and diminishing productivity. The Chesapeake Bay is also facing the problem of water pollution due to pollutant loading from agricultural fields and wastewater treatment plants (WWTPs). Using recycled water for irrigation has the potential to alleviate the pressure on groundwater and reduce pollutant loading. The objective of this study was to develop a decision tool to explore the use of recycled water for agricultural irrigation in Maryland using Multicriteria Decision Analysis (MCDA) integrated with Geographical Information Systems (GIS). Four main evaluation criteria were included in the GIS-MCDA framework: agricultural land cover, climate, groundwater vulnerability, and characteristics of the WWTPs as sources of recycled water. Groundwater vulnerability zones were developed using the groundwater well density, water extraction data, and the aquifer information. Then, the most suitable areas for irrigation using recycled water were identified. About 13.5% and 32.9% of agricultural land was, respectively, found to be “highly” and “moderately” suitable for irrigation with recycled water when WWTPs were categorized based on their treatment process information. The results provide a useful decision tool to promote the use of recycled water for agricultural irrigation.

scholarly journals GIS Based Multicriteria Decision Analysis of Riverine Flooding: A Case Study of Maharashtra Deluge 2019

2021 ◽  
Vol 9 (VII) ◽  
pp. 379-389
Author(s):  
Prof. P. G. Bongale
Keyword(s):  
Decision Analysis ◽  
River Basin ◽  
Indian Subcontinent ◽  
Flood Frequency ◽  
Multicriteria Decision Analysis ◽  
Town Planning ◽  
Geographical Information ◽  
Western Ghat ◽  
Ancillary Data ◽  
Multicriteria Decision

Riverine flooding is frequent catastrophic event for Indian subcontinent and prevalent in western ghat region. The south-western monsoonal precipitation escalates the situation to detrimental level in the populous regions along the rivers. The previous studies suggest that the settlements in the vicinity of seasonal rivers are mostly affected during heavy precipitation due to unpredicted event and lack of preventive infrastructure along the bank. Such devastation can be reduced with detailed analysis of river basin and flood recurrence trends. Present study focuses on the flood frequency and settlement patterns in the Krishna River basin of Maharashtra state. The region has cotton soil (clay to loamy dark grey soil) cover, which encourages the agricultural practices. The agriculture being major occupation of the state engaged more than 64% population contributing largely in cotton and cereal production of the country. The discrete pattern of rainfall causes flooding at places, which not only distresses the settlement but also adversely affects the rate of soil erosion resulting elimination of the most fertile layer of surface. The study mainly emphases on the Shirindwad, Kurundwad, Rajapur villages of Shirol taluka of Kolhapur district, where Koyna, Warna, Panchaganga, Tarli, Urmodi, Dudhganga and Hiranyakeshi rivers of Krishna River basin overflowed decade’s water level in August 2019 flooding event. The event put an eternal scar to the inhabitants with pile of flood water over their cotton soil. The devastation of the event would be predicted if spatio-temporal analyses of rainfall and settlement pattern have been done. So, the present study aims to evaluate the impacts of future flooding by the analysis of rainfall pattern and demarcation of settlement clusters under threat. This can be done by scrutinizing ancillary data in GIS (geographical information system) environment with the help of temporal satellite data. The GIS-based multicriteria decision analysis can provide result as demarcation of potential flood risk zones and this can be resourceful for disaster management and town planning practices.

Sign in / Sign up

Export Citation Format

Share Document