Spatial Analysis of Groundwater Potential Using GIS Based Multi Criteria Decision Analysis Method in Lake Tana Basin, Ethiopia

2019 ◽  
pp. 439-456 ◽  
Author(s):  
Agumase T. Kindie ◽  
Temesegen Enku ◽  
Mamaru A. Moges ◽  
Berhanu S. Geremew ◽  
Haimanot B. Atinkut
Keyword(s):  
Spatial Analysis ◽  
Decision Analysis ◽  
Groundwater Potential ◽  
Analysis Method ◽  
Lake Tana ◽  
Multi Criteria Decision Analysis ◽  
Lake Tana Basin

scholarly journals Geoinformation system integration and methods of multi-criteria decision analysis for assessment of land suitability for agricultural use

2020 ◽  
Vol 50 (6) ◽  
pp. 93-105
Author(s):  
V. K. Kalichkin ◽  
O. M. Logacheva ◽  
A. A. Sigitov ◽  
L. V. Garafutdinova
Keyword(s):  
Decision Analysis ◽  
Spatial Information ◽  
Land Suitability ◽  
Forest Steppe ◽  
Analysis Method ◽  
Multi Criteria Decision Analysis ◽  
Agricultural Enterprise ◽  
High Resolution Satellite Images ◽  
Electre Tri ◽  
Hierarchy Analysis

The expediency of joint application of methods of multi-criteria decision analysis of (MCDA) and geoinformation systems (GIS) in order to assess the suitability of lands for cultivation of agricultural crops is substantiated. The implementation of this approach will make it possible to partially automate the process of assessing land. The studies were carried out on the territory of ZAO Mirny, Kochenevsky District, Novosibirsk Region (54°56′24″ N, 82°06′12″ E), located in the forest-steppe zone. Taking into account the peculiarities of the territory under consideration, the following criteria were selected for assessing suitability of lands: drainage condition, soils granulometric composition, contrast of soil cover, working areas elevation pattern, humus layer thickness, ploughness, terrain slope angle, exposure of slopes, erosion degree. The sources of spatial information were land management maps, soil and topographic maps, digital elevation model (DEM), SRTM, ultra-high resolution satellite images. The collection and processing of spatial information was carried out in QuantumGIS (QGIS), which has an open modular architecture. ELECTRE TRI and the hierarchy analysis method were selected for the analytical assessment of information within MCDA. For both methods, there are procedures that are integrated with QGIS. With the help of QGIS GIS tools, the land use of a particular agricultural enterprise was divided into working areas, their boundaries and areas were determined. A method for obtaining an attribute database is described for each criterion. An overview of the ELECTRE TRI methods and the hierarchy analysis method is given, and their launch procedures in QGIS are described. The criteria weights were obtained using the hierarchy analysis method (Easy АНР procedure in QuantumGIS), and the main result – the land suitability map (according to the FAO classification) – was obtained using the ELECTRE TRI method (ELECTRE TRI procedure for QuantumGIS). Since the result of the ELECTRE TRI procedure are two decision maps: according to the pessimistic and optimistic scenarios, additional studies were carried out, on the basis of which it was possible to establish that the map obtained according to the optimistic scenario has a greater consistency with the natural conditions of the agricultural enterprise.

scholarly journals Aquifer evaluation in parts of north-central Nigeria from geo-electrical derived parameters

2021 ◽  
Vol 11 (11) ◽  
Author(s):  
J. O. Naiyeju ◽  
M. A. Oladunjoye ◽  
M. A. Adeniran
Keyword(s):  
Decision Analysis ◽  
Groundwater Potential ◽  
High Yield ◽  
Detailed Knowledge ◽  
Yield Data ◽  
Multi Criteria Decision Analysis ◽  
Potential Index ◽  
Transverse Resistance ◽  
Proposed Model

AbstractIn order to reduce the level of risk associated with borehole drilling, it is important to have detailed knowledge about the aquifer distribution. In a view to generating groundwater potential model of Lokoja and its environs, the detailed subsurface characterization was carried out using a GIS-based multi-criteria decision analysis approach. One hundred and twenty-four vertical electrical sounding (VES) data points were covered within the study area using the Schlumberger array of electrical resistivity surveys. Hydrogeological investigation of one hundred and twenty-four existing boreholes within the vicinity of the sounded VES points was carried out by measuring in situ parameters of each borehole such as borehole depth, elevation, static water level and borehole yield. A Multi-Criteria Decision Analysis-Analytical Hierarchy Process (MCDA)-AHP-based was carried out by estimating the probabilistic ratings for the classes of parameters used for modeling groundwater potential. Four groundwater potential influencing factors, namely coefficient of anisotropy, transverse resistance, aquifer resistivity and aquifer thickness, were classified and rated. The output of the multi-criteria decision analysis was processed in the GIS environment to produce a groundwater potential index map. The obtained model was validated by comparing it with in situ borehole yield data to determine the accuracy of the proposed model. The groundwater potential map generated classified the study area into low, medium and high yield zones. Areas with medium potential zones dominate the largest part of the with 66% area coverage, and the dominance of these zones was visible in the northern and western part of the study area. Areas with high groundwater potential exist toward the southern and eastern sections of the study area. This area was observed to be underlined with sandstone, siltstone and migmatite. The validation exercise carried out on the proposed model reveals a 70% prediction accuracy.

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