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https://hdl.handle.net/20.500.13091/5216
Title: | Evaluating lake water quality with a GIS-based MCDA integrated approach: a case in Konya/Karapınar | Authors: | Akar, Ali Utku Şişman, Süleyman Ülkü, Harika Yel, Esra Yalpır, Şükran |
Keywords: | Acigol and Meke Lakes (Karapinar) Analytic hierarchy process Geographic Information System Lake water quality Parameter prediction Spatial analysis River-Basin Groundwater |
Publisher: | Springer Heidelberg | Abstract: | Considering water quality is an essential requirement in terms of environmental planning and management. To protect and manage water resources effectively, it is necessary to develop an analytical decision-support system. In this study, a systematic approach was suggested to evaluate the lake water quality. The methodology includes the prediction of the values in different locations of the lakes from experimental data through inverse distance weighting (IDW) method, creation of maps by using Geographic Information System (GIS) integrated with analytic hierarchy process (AHP) from multi-criteria decision analysis (MCDA), reclassification into five class, combining the time-related spatial data into a single map to predict the whole lake water quality from the data of sampling points, and finally overlapping the final maps with topography/geology and land use. The proposed approach was verified and presented as case study for Meke and Acigol Lakes in Konya/Turkey which were affected by human and natural factors although they have ecological, hydromorphological, and socio-economic importance. In the proposed approach, categorizing water quality parameters as hardness and minerals, substrates and nutrients, solids content, metals, and oil-grease groups was helpful for AHP with the determined group weights of 0.484, 0.310, 0.029, and 0.046, respectively. Assigning weights within each group and then assigning weights between groups resulted in creating accurate final map. The proposed approach is flexible and applicable to any lake water quality data; even with a limited number of data, the whole lake water quality maps could be created for assessment. | URI: | https://doi.org/10.1007/s11356-024-32184-6 https://hdl.handle.net/20.500.13091/5216 |
ISSN: | 0944-1344 1614-7499 |
Appears in Collections: | PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collections Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections |
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