Arid
DOI10.1007/s12665-020-8830-y
The use of continuous fuzzy and traditional classification models for groundwater potentiality mapping in areas underlain by granitic hard-rock aquifers
Taheri, Farkhondeh1; Jafari, Hadi1; Rezaei, Mohammad2; Bagheri, Rahim1
通讯作者Jafari, Hadi
来源期刊ENVIRONMENTAL EARTH SCIENCES
ISSN1866-6280
EISSN1866-6299
出版年2020
卷号79期号:5
英文摘要Delineating groundwater potential (GWP) zones is very important for the sustainable planning, development and management of the groundwater resources in hard-rock terrains. This is usually undertaken using multi-criteria evaluation methods based on using a data- or knowledge-driven combination of factors that are assumed to control the distribution of groundwater in hard-rock terrains. In the current study, this method was applied on a GIS platform to model GWP zones of a granitic hard-rock terrain in an arid region of central Iran. The groundwater occurrence indicators such as lineaments, drainage density, rainfall, lithology, topographic slope and vegetation cover were firstly prepared in the form of thematic maps and then combined using the traditional classification and continuous fuzzification methods to integrate these layers to produce GWP maps. Zones with high GWP values were identified in valley floors where granite was assumed to be overlain by a thick weathered profile and in highland areas where fracture zones were identified and annual rainfall is higher than at lower elevations. The modeled potentiality maps were validated by a comparison of the distribution of high GWP values and the spatial distribution of existing springs, qanats and wells in the region. Comparing the results of the two applied integration methods highlights the ability of the continuous fuzzy model based on data-driven logistic-based weighting of the thematic maps in delineating the GWP zones. The model will help to reduce the problem of exploration bias and uncertainties resulting from discretization of spatial values into arbitrary classes and defining weights based on the expert judgment in knowledge-driven method of traditional classification. It is recommended for modeling GWP zones and then proper management of the hard-rock aquifers in other regions.
英文关键词Multi-criteria evaluation Fuzzy logic Weathered layer Fractured aquifer Shir-Kuh Iran
类型Article
语种英语
国家Iran
收录类别SCI-E
WOS记录号WOS:000517261600002
WOS关键词GIS ; ZONES ; TERRAIN ; DELINEATION ; SELECTION ; DISTRICT ; SYSTEM
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Geology ; Water Resources
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/314423
作者单位1.Shahrood Univ Technol, Fac Earth Sci, Shahrood, Iran;
2.Shahrood Univ Technol, Fac Min Petr & Geophys Engn, Shahrood, Iran
推荐引用方式
GB/T 7714
Taheri, Farkhondeh,Jafari, Hadi,Rezaei, Mohammad,et al. The use of continuous fuzzy and traditional classification models for groundwater potentiality mapping in areas underlain by granitic hard-rock aquifers[J],2020,79(5).
APA Taheri, Farkhondeh,Jafari, Hadi,Rezaei, Mohammad,&Bagheri, Rahim.(2020).The use of continuous fuzzy and traditional classification models for groundwater potentiality mapping in areas underlain by granitic hard-rock aquifers.ENVIRONMENTAL EARTH SCIENCES,79(5).
MLA Taheri, Farkhondeh,et al."The use of continuous fuzzy and traditional classification models for groundwater potentiality mapping in areas underlain by granitic hard-rock aquifers".ENVIRONMENTAL EARTH SCIENCES 79.5(2020).
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