GIS and multi-criteria analysis to select potential sites of agro-industrial complex

Sahnoun, Houda; Serbaji, Mohamed Moncef; Karray, B.; Medhioub, Khaled

doi:10.1007/s12665-011-1471-4

Cited by 35 publications

(23 citation statements)

References 41 publications

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“…A hierarchical order of factors and numerical values is established based on the importance of each factor [63]. Subsequently, these factors are integrated, and each factor is weighted according to its importance [64]. The AHP is used to establish the correlative pairwise comparison matrix.…”

Section: Analytical Hierarchy Process (Ahp)mentioning

confidence: 99%

A Comparative Study of Statistics-Based Landslide Susceptibility Models: A Case Study of the Region Affected by the Gorkha Earthquake in Nepal

Meena

Ghorbanzadeh

Blaschke

2019

IJGI

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As a result of the Gorkha earthquake in 2015, about 9000 people lost their lives and many more were injured. Most of these losses were caused by earthquake-induced landslides. Sustainable planning and decision-making are required to reduce the losses caused by earthquakes and related hazards. The use of remote sensing and geographic information systems (GIS) for landslide susceptibility mapping can help planning authorities to prepare for and mitigate the consequences of future hazards. In this study, we developed landslide susceptibility maps using GIS-based statistical models at the regional level in central Nepal. Our study area included the districts affected by landslides after the Gorkha earthquake and its aftershocks. We used the 23,439 landslide locations obtained from high-resolution satellite imagery to evaluate the differences in landslide susceptibility using analytical hierarchy process (AHP), frequency ratio (FR) and hybrid spatial multi-criteria evaluation (SMCE) models. The nine landslide conditioning factors of lithology, land cover, precipitation, slope, aspect, elevation, distance to roads, distance to drainage and distance to faults were used as the input data for the applied landslide susceptibility mapping (LSM) models. The spatial correlation of landslides and these factors were identified using GIS-based statistical models. We divided the inventory into data used for training the statistical models (70%) and data used for validation (30%). Receiver operating characteristics (ROC) and the relative landslide density index (R-index) were used to validate the results. The area under the curve (AUC) values obtained from the ROC approach for AHP, FR and hybrid SMCE were 0.902, 0.905 and 0.91, respectively. The index of relative landslide density, R-index, values in sample datasets of AHP, FR and hybrid SMCE maps were 53%, 58% and 59% for the very high hazard classes. The final susceptibility results will be beneficial for regional planning and sustainable hazard mitigation.

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Section: Analytical Hierarchy Process (Ahp)mentioning

confidence: 99%

A Comparative Study of Statistics-Based Landslide Susceptibility Models: A Case Study of the Region Affected by the Gorkha Earthquake in Nepal

Meena

Ghorbanzadeh

Blaschke

2019

IJGI

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“…A-14 for a tanning industry Gundogdu (2011) Facility location with priorities given to environmental issues EI NCD Oral and Kettani (1990) Choosing a location for an engineering school EI P & MA Mathematical programming Ozcan et al (2011) A warehouse location problem in the retail sector EI P AHP, TPS, Grey theory Raoot and Rakshit (1993) Example of a facility layout problem EII P Linguistic patterns Sahnoun et al (2012) Selecting a location for an agro-industrial complex EIII P GIS Choosing a location for a new branch office for a small service company EIS P MAVT Tanritanir et al (2004) Selecting a location for a new laminate factory EI P Classification of stocks and portfolio selection ETRI P MINORA, ADELAIS Khoury et al (1994) Selecting a global index fund portfolio EI, EII P, P Portfolio selection EI, EII P, P Selecting securities for a portfolio and ranking of ETRI, EIII P, P…”

Section: Accepted Manuscriptmentioning

confidence: 99%

ELECTRE: A comprehensive literature review on methodologies and applications

Govindan

Jepsen

2016

European Journal of Operational Research

450

177

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“…In a study for forest watershed management, Segura et al (2014) applied the decision support system. Sahnoun et al (2012) used techniques like ELECTRE to analyze the land use proportion. In a research, Lehmann et al (2013) examined the effect of climate change, and the cost risks on crops management decisions, in the Switzerland usingan economic model based on the algorithm genetics.…”

Section: Introductionmentioning

confidence: 99%

Land Use Optimization Using the Fuzzy Mathematical-Spatial Approach: A Case Study of Chelgerd Watershed, Iran

Heydari

Honarbakhsh

Pajoohesh

2018

Journal of Environmental Engineering and Landscape Management

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In recent years, inappropriate land use, urban and industrial development along with different pollutions emanating from it gives rise to loss of natural resources and further leads to destructive floods, soil erosion, sedimentation and other various environmental, economic and social damages. Thus, management and planning are essential for the proper utilization, protection and revival of these resources. This study aimed to develop a mathematical-spatial optimum utilization model using FGP – MOLA in watershed including environmental and economic objectives while considering social issues. The results showed that the proposed model can lead to economic growth to 37% and decreasing the environmental damages to 2.4%. Under optimized condition, the area allocated to dry farming lands will decrease about 12% and gardens will increase about 423% and the other land uses remain unchanged too. In addition to, the results demonstrated the usefulness and efficiency of the proposed fuzzy model due to its flexibility and capability to simultaneously provide both optimum values and location of production resources.

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GIS and multi-criteria analysis to select potential sites of agro-industrial complex

Cited by 35 publications

References 41 publications

A Comparative Study of Statistics-Based Landslide Susceptibility Models: A Case Study of the Region Affected by the Gorkha Earthquake in Nepal

A Comparative Study of Statistics-Based Landslide Susceptibility Models: A Case Study of the Region Affected by the Gorkha Earthquake in Nepal

ELECTRE: A comprehensive literature review on methodologies and applications

Land Use Optimization Using the Fuzzy Mathematical-Spatial Approach: A Case Study of Chelgerd Watershed, Iran

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