A Comparative Study of the AHP and TOPSIS Techniques for Dam Site Selection Using GIS: A Case Study of Sistan and Baluchestan Province, Iran

Jozaghi, Ali; Alizadeh, Babak; Hatami, Mohsen; Flood, Ian; Khorrami, Mohammad; Khodaei, Nastaran; Tousi, Erfan Ghasemi

doi:10.3390/geosciences8120494

Cited by 146 publications

(73 citation statements)

References 58 publications

(67 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Higher slope implies greater flow speed and water accumulation, and therefore makes the terrain more susceptible to flooding and sediment transport. Slope is also an informative factor in deciding the location of check dams, as higher slopes are more suitable for check dam construction [27]. Slope varied from 0% to 80.37% in the study area (Figure 5f).…”

Section: Slopementioning

confidence: 99%

“…The use and processing of numerous spatial data, satellite images, and aerial photographs in geographic information systems (GIS) for the selection of appropriate check dam sites over large watershed scales are computationally costly [25,26]. Straightforward site identification for a more efficient management support may be facilitated by an analytic hierarchy process (AHP) in GIS [27,28] based on some geomorphometric and topo-hydrological watershed factors [29,30] that, to our best knowledge, yet remain to be considered for this purpose. Such characteristic factors may include slope, terrain ruggedness index (TRI), topographic position index (TPI), drainage density (DD), stream order (SO), stream power index (SPI), topographic wetness index (TWI), and sediment transport index (STI).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

GIS-Based Site Selection for Check Dams in Watersheds: Considering Geomorphometric and Topo-Hydrological Factors

et al. 2019

View full text Add to dashboard Cite

Check dams are widely used watershed management measures for reducing flood peak discharge and sediment transport, and increasing lag time and groundwater recharge throughout the world. However, identifying the best suitable sites for check dams within the stream networks of various watersheds remains challenging. This study aimed to develop an open-source software with user-friendly interface for screening the stream network possibilities and identifying and guiding the selection of suitable sites for check dams within watersheds. In this developed site selection software (SSS), multi-criteria decision analysis (MCDA) was integrated into geographic information systems (GIS), which allowed for numerous spatial data of the multiple criteria to be relatively simply and visually processed. Different geomorphometric and topo-hydrological factors were considered and accounted for to enhance the SSS identification of the best locations for check dams. The factors included topographic wetness index (TWI), terrain ruggedness index (TRI), topographic position index (TPI), sediment transport index (STI), stream power index (SPI), slope, drainage density (DD), and stream order (SO). The site identification performance of the SSS was assessed using the receiver operating characteristic (ROC) curve method, with results for the case study example of the Poldokhtar watershed in Iran showing excellent performance and identifying 327 potential sites for efficient check dam construction in this watershed. The SSS tool is not site-specific but is rather general, adaptive, and comprehensive, such that it can and should be further applied and tested across different watersheds and parts of the world.

show abstract

Section: Slopementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

GIS-Based Site Selection for Check Dams in Watersheds: Considering Geomorphometric and Topo-Hydrological Factors

et al. 2019

View full text Add to dashboard Cite

show abstract

“…One of them considers the application of Neural Networks (NN) [31][32][33]. O'Connor [34] proposed efficient hybrid model structure and GIS location adjustments for AVM, whereas in a more detailed context Demetriou [35] GIS-based hedonic modelling in land consolidation schemes and Jozaghi et al [2] applied Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) with GIS use for a spatial hydro-infrastructure problems solution. A different approach is represented by the use of the Rough Set Theory (RST) based on discrete mathematics.…”

Section: Literature Review and Research Issuesmentioning

confidence: 99%

Geoscience Methods in Real Estate Market Analyses Subjectivity Decrease

2019

View full text Add to dashboard Cite

Real estate management, including real estate market analysis, is part of a so-called geosystem. In recent years, the popularity of creating various types of systems and automatic solutions in real estate management, including those related to property classification and valuation, has been growing in the world, mainly to reduce the impact of human subjectivity, to increase the scope of analyses and reduce research time. A very important fact that should be underlined is that properties are strongly related to geolocation (space) and strongly determine it. Authors proposed in the paper solutions that highlight implementation of geoscience and “geo-approach” combined with fuzzy logic methods that allow to decrease subjectivity in property analyses and diminish uncertainty in decision making process. The proposed methodology involves three main problematic components of decision support system in property investment analyses development with the use of geo-technologies such as: determination of the database model; elaboration geo-property-zones with geoprocessing activities; identification of homogeneous group of properties transactions. The influence of spatial decision factor determined in the study lead to objective and precise calculation of value differentiation from 22 to 43% depending on the property’s remoteness to the sea.

show abstract

“…The AHP model is a robust tool for solving decision problems and system analysis as it simplifies complex decisions to a series of pairwise comparisons [98], while the WSM model is a simple multicriteria decision-making approach [99]. The boxplot (Figure 15) of the mean of all buffer zones for the 21 dam sites for each of the WSM and AHP models shows that the AHP method is better than WSM.…”

Section: Discussionmentioning

confidence: 99%

GIS-based modeling for selection of dam sites in the Kurdistan Region, Iraq

Othman¹,

Maamar²,

Ali³

et al. 2020

Preprint

View full text Add to dashboard Cite

Iraq, a country in the Middle East, has suffered severe drought events in the past two decades due to a significant decrease in annual precipitation. Water storage by building dams can mitigate drought impacts and assure water supply. This study was designed to identify suitable sites to build new dams within the Al-Khabur River Basin (KhRB). Both the fuzzy analytic hierarchy process (AHP) and the weighted sum method (WSM) were used and compared to select suitable dam sites. A total of 14 layers were used as input dataset (i.e., lithology, tectonic zones, distance to active faults, distance to lineaments, soil type, land cover, hypsometry, slope gradient, average precipitation, stream width, Curve Number Grid, distance to major roads, distance to towns and cities, and distance to villages). Landsat-8/Operational Land Imager (OLI) and QuickBird optical images were used in the study. Three types of accuracies were tested: overall, suitable pixels by number, and suitable pixels by weight. Based on these criteria, we determined that 11 sites are suitable for locating dams for runoff harvesting. Results were compared to the location of 21 preselected dams proposed by the Ministry of Agricultural and Water Resources (MAWR). Three of these dam sites coincide with those proposed by the MAWR. The overall accuracies of the 11 dams ranged between 76.2% and 91.8%. The two most suitable dam sites are located in the center of the study area, with favorable geology, adequate storage capacity, and in close proximity to the population centers. Of the two selection methods, the AHP method performed better as its overall accuracy is greater than that of the WSM. We argue that when stream discharge data are not available, use of high spatial resolution QuickBird imageries to determine stream width for discharge estimation is acceptable and can be used for preliminary dam site selection. The study offers a valuable and relatively inexpensive tool to decision-makers for eliminating sites having severe limitations (less suitable sites) and focusing on those with the least restriction (more suitable sites) for dam construction.

show abstract

A Comparative Study of the AHP and TOPSIS Techniques for Dam Site Selection Using GIS: A Case Study of Sistan and Baluchestan Province, Iran

Cited by 146 publications

References 58 publications

GIS-Based Site Selection for Check Dams in Watersheds: Considering Geomorphometric and Topo-Hydrological Factors

GIS-Based Site Selection for Check Dams in Watersheds: Considering Geomorphometric and Topo-Hydrological Factors

Geoscience Methods in Real Estate Market Analyses Subjectivity Decrease

GIS-based modeling for selection of dam sites in the Kurdistan Region, Iraq

Contact Info

Product

Resources

About