A Spatial Multi-Criteria Analysis Approach for Locating Suitable Sites for Construction of Subsurface Dams in Northern Pakistan

Jamali, Imran Ali; Mörtberg, Ulla; Olofsson, Bo; Shafique, Muhammad

doi:10.1007/s11269-014-0800-2

Cited by 70 publications

(55 citation statements)

References 44 publications

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“…GIS capabilities such as data storage and organization, spatial analysis, visualization and query which make it suited for this analysis [16] , [18] . For early planning phases, the spatial multi-criteria analysis provides procedures to structure decision problems while GIS plays a role in analyzing spatial data [9] .…”

Section: Selection Of Water Pan Sitementioning

confidence: 99%

“…This is achieved by assigning a weight to each criterion [9] . The AHP generates a weight for each evaluation criterion according to the decision maker's pairwise comparisons of the criteria.…”

Section: Weightingmentioning

confidence: 99%

“…The livelihoods of rural people without access, or with very limited access to such resources are vulnerable [8] . Access to the improved water supply is considered to boost economic development poverty alleviation [9] . Due to climate change, erratic rains, extreme temperatures and cyclic and prolonged droughts are experienced in Kajiado County.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Suitability Analysis of Water Pan Sites for Pastoralists: A Case Study of Kajiado County in Kenya

Mutua¹,

Boitt²

2017

ujg

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The paper looks into the analysis of water spatial accessibility by pastoralists in Kajiado County. Since it's a pastoralist area, the demand for water is essential, but due to climate change, the area experiences erratic rains, extreme temperatures and cyclic and prolonged droughts. The need to access improved water supply is considered to boost economic development poverty alleviation. With inadequate water harvesting structures, integrated journal positions the need to excavate more water pans which require a systematic study to come up with the suitable positions where excavation will occur. To come up with a commendable finding and analysis, the paper gives a methodology for data collection identifying relevant factors affecting citing of water. The factors incorporated in questionnaires were slope, soils, location of pastures, villages, existing water points and grazing routes. Therefore, both critical and descriptive discussion of the field's issues is warranted. From the suitability analysis, of the county's land mass 3.06% is in very highly suitable, 28.67% is highly suitable, 67.98% is moderately suitable and 0.29% is not suitable. The comparative analysis shows that the new water pans are established in moderately suitable area. The study concludes by crediting the need to attributed GIS analysis and spatial modeling for the purpose of helping the County Government effort to provide sustainable water pans to its people.

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Section: Selection Of Water Pan Sitementioning

confidence: 99%

Section: Weightingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Suitability Analysis of Water Pan Sites for Pastoralists: A Case Study of Kajiado County in Kenya

Mutua¹,

Boitt²

2017

ujg

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“…AHP is a systematic approach developed by Saaty [8] to enable decision making based on experience, intuition, and heuristics using the structure of a well-defined methodology derived from sound mathematical principles. It provides a formalized approach in which the economic justification for the time invested in the decision making process is provided by the improved quality of solutions to complex problems.…”

Section: Analytical Hierarchy Processmentioning

confidence: 99%

“…The SEA process necessarily incorporates multi-criteria decision-making (MCDM) methods. In dam planning, studies in several countries, including Korea, show that most considerations concern geological or hydrological elements rather than environmental or ecological elements [8][9][10][11]. Therefore, in this study we explored the robust prioritization of environmental and ecological influences in decision making based on incomplete information available from the SEA for dam planning.…”

Section: Introductionmentioning

confidence: 99%

Robust Priority for Strategic Environmental Assessment with Incomplete Information Using Multi-Criteria Decision Making Analysis

Park

Kim

et al. 2015

Sustainability

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This study investigates how the priority rankings for dam construction sites vary with multi-criteria decision making (MCDM) techniques and generation approaches for incomplete information. Strategic environmental assessment (SEA) seeks to recommend sustainable dam construction sites based on their environmental and ecological impacts in a long-term plan for dam construction (LPDC) in South Korea. However, if specific information is missing, the SEA is less useful for choosing a dam construction site. In this study, we applied AHP, ELECTRE III, PROMETHEE II and Compromise Programming as MCDM techniques, and used binomial and uniform distributions to generate missing information. We considered five dam site selection situations and compared the results as they depended on both MCDM techniques and information generation methods. The binomial generation method showed the most obvious priorities. All MCDM techniques showed similar priorities in the dam site selection results except for ELECTREE III. The results demonstrate that selecting an appropriate MCDM technique is more important than the data generation method. However, using binomial distribution to generate missing information is more effective in providing a robust priority than uniform distribution, which is a commonly used technique.

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Recognition of suitable small watersheds for check dam construction on the Loess Plateau

Chen,

Bai,

Jiao

et al. 2023

Land Degrad Dev

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Check dams are used for soil and water conservation worldwide, especially on the Chinese Loess Plateau, which has suffered from severe soil and water loss. To promote ecological conservation and high‐quality development in the Yellow River basin, considerable effort should be devoted to building check dams in the small watersheds where the conditions permit on the Loess Plateau. Therefore, suitable small watersheds must be identified for constructing new check dams. In this study, the weighted overlay method (WOM) of the multi‐criteria decision‐making analysis method, the random forest (RF), and the support vector machine (SVM) of machine learning methods were first applied to simulate the suitability of small watersheds for check dam construction in the Ganguyi upstream area of the Yanhe River basin on the Loess Plateau. Accuracy assessment showed that the accuracy of the three models was almost perfect and RF had the highest accuracy of 0.95, followed by SVM (0.87), and WOM (0.83). Meanwhile, the impacts of topographic factors and soil erodibility were found to be generally higher than those of the other factors, and 56% of small watersheds had high and very high suitability for check dam construction, 67% of these small watersheds have already been built as check dams. Finally, a total of 108 small watersheds were found to be suitable in the study area when considering their environmental characteristics. The methodology developed in the study can be used as a preliminary planning step for check dam construction and as a foundation for detailed field investigations in the future, which help to realize the sustainable use of soil and water resources.

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A Spatial Multi-Criteria Analysis Approach for Locating Suitable Sites for Construction of Subsurface Dams in Northern Pakistan

Cited by 70 publications

References 44 publications

Suitability Analysis of Water Pan Sites for Pastoralists: A Case Study of Kajiado County in Kenya

Suitability Analysis of Water Pan Sites for Pastoralists: A Case Study of Kajiado County in Kenya

Robust Priority for Strategic Environmental Assessment with Incomplete Information Using Multi-Criteria Decision Making Analysis

Recognition of suitable small watersheds for check dam construction on the Loess Plateau

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