GIS-based land suitability assessment for check dam site location, using topography and drainage information: a case study from Morocco

Ettazarini, Said

doi:10.1007/s12665-021-09881-3

Cited by 23 publications

(12 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some researchers [47,49,78] have considered the WLC technique a reliable decisionmaking system for detecting suitable RH areas and dam site selection. Nevertheless, others have found satisfactory results can be attained using AHP [4,33,48,58]. Although, in this study, both models produced homogenous results, we determined that the quality of the RH suitability maps generated using the WLC and AHP approaches depends mainly on the criteria implemented and the weights given in previous literature (Table 1).…”

Section: Validation Of the Wlc And Ahp Modelsmentioning

confidence: 64%

“…Year Applied Techniques Country [47] 2022 WLC, RS, and GIS Australia [48] 2021 AHP and GIS Morocco [49] 2021 BO, WLC, and GIS Iraq [50] 2017 AHP, Fuzzy-AHP, ROM, VI, BO, RS, SWAT, and GIS Iraq [51] 2021 WLC, BO, RS, and GIS Iraq [30] 2017 FL, AHP, WLC, and GIS Iraq [4] 2020 AHP, WSM, RS, and GIS Iraq [2] 2019 WLC, AHP, RS, and GIS Iraq [31] 2019 AHP, FL, RS, and GIS Iraq [52] 2017 WLC, BO, and GIS Jordan [53] 2016 AHP, WLC, BO, and GIS Jordan [54] 2022 AHP, WLC, BO, RS, and GIS Yemen [55] 2014 AHP, FIM, BO, WLC, and GIS Pakistan [33] 2020 AHP, RS, and GIS Pakistan [29] 2019 AHP, ML, GIS, and RS UAE [56] 2019 AHP, SSS, and GIS Iran [57] 2021 AHP, WLC, and GIS Iran [23] 2018 AHP, TOPSIS, and GIS Iran [44] 2021 AHP, WLC, SWAT, RS, and GIS Iran [20] 2020 BWM, FL, AHP, WOP, BO, and GIS Iran [8] 2022 AHP, RS, SWAT, RUSLE, and GIS Rwanda [58] 2021 AHP, RS, and GIS MOZ The torrential rainfall and subsequent floods of spring 2019 that hit Iraq and neighboring countries [56,59] raised water levels in the Tigris River and its tributaries (Figure 1a). Consequently, water management features such as Dukan Reservoir (DR) reached its maximum safe storage capacity.…”

Section: Referencementioning

confidence: 99%

“…Thus, all criteria and sub-criteria were given weights and ranks, respectively (Table A2 in Appendix A). Lastly, the RH suitability map was generated in the ArcMap environment using Equation (4) [48,53]:…”

Section: Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%

“…TecDEM analyzes topography and derives numerous geomorphologic parameters from digital elevation models (e.g., drainage density and watershed delineation) [107,108]. Several publications utilized stream order to assess the storage capacity of hydrologic basins [47,48,56]. Stream order describes the hierarchical connectivity of the stream system and enables size-based classification of drainage basins [2].…”

Section: Hydrologic/meteorologic Criteriamentioning

confidence: 99%

“…Many insightful studies have revealed that integrating the WLC and AHP approaches with GIS is an effective and competent RH suitability technique [2,44,54]. The WLC and AHP models have been utilized to determine suitable RH locations by identifying the weights of various criteria and their sub-criteria [4,47,48,53]. WLC was used in this research because of its flexibility and efficiency in combining the normalized weights of factors and the reclassified thematic layers to create the RH suitability map.…”

Section: Generation Of Runoff Harvesting Suitability Mapsmentioning

confidence: 99%

See 4 more Smart Citations

Proposing Optimal Locations for Runoff Harvesting and Water Management Structures in the Hami Qeshan Watershed, Iraq

Al-Kakey,

Othman,

Al-Mukhtar

et al. 2023

IJGI

View full text Add to dashboard Cite

Iraq, including the investigated watershed, has endured destructive floods and drought due to precipitation variability in recent years. Protecting susceptible areas from flooding and ensuring water supply is essential for maintaining basic human needs, agricultural production, and industry development. Therefore, locating and constructing storage structures is a significant initiative to alleviate flooding and conserve excessive surface water for future growth. This study aims to identify suitable locations for Runoff Harvesting (RH) and dam construction in the Hami Qeshan Watershed (HQW), Slemani Governorate, Iraq. We integrated in situ data, remotely sensed images, and Multi-Criteria Decision Analysis (MCDA) approaches for site selection within the Geographical Information Systems (GIS) environment. A total of ten criteria were employed to generate the RH suitability maps, including topographic position index, lithology, slope, precipitation, soil group, stream width, land cover, elevation, distance to faults, and distance to town/city. The weights of the utilized factors were determined via Weighted Linear Combination (WLC) and Analytic Hierarchy Process (AHP). The resulting RH maps were validated through 16 dam sites preselected by the Ministry of Agriculture and Water Resources (MAWR). Findings showed that the WLC method slightly outperformed AHP regarding efficiency and exhibited a higher overall accuracy. WLC achieved a higher average overall accuracy of 69%; consequently, it was chosen to locate new multipurpose dams for runoff harvesting in the study area. The overall accuracy of the 10 suggested locations in HQW ranged between 66% and 87%. Two of these sites align with the 16 locations MAWR has recommended: sites 2 and 5 in the northwest of HQW. It is noteworthy that all MAWR dam sites were situated in medium to excellent RH zones; however, they mostly sat on ineffective geological localities. It is concluded that a careful selection of the predictive factors and their respective weights is far more critical than the applied methods. This research offers decision-makers a practical and cost-effective tool for screening site suitability in data-scarce rugged terrains.

show abstract