Assessment of recharge capacity potential of groundwater using comparative multi-criteria decision analysis approaches

被引:7
|
作者
Minea, Ionut [1 ]
Boicu, Daniel [1 ]
Chelariu, Oana-Elena [2 ]
Iosub, Marina [3 ]
Enea, Andrei [3 ]
机构
[1] Alexandru Ioan Cuza Univ, Fac Geog & Geol, Iasi, Romania
[2] Alexandru Ioan Cuza Univ, Inst Interdisciplinary Res, Dept Exact Sci & Nat Sci, Iasi, Romania
[3] Alexandru Ioan Cuza Univ, Integrated Ctr Environm Sci Studies North Eastern, Iasi, Romania
关键词
analytic hierarchy process; catastrophe theory; groundwater recharge potential; groundwater vulnerability; Innovative Trend Analysis; ANALYTICAL HIERARCHY PROCESS; GIS; ZONES; AHP; REGION; BASIN; IDENTIFICATION; VULNERABILITY; MAHARASHTRA; ZONATION;
D O I
10.1007/s11442-022-1970-0
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Groundwater resources have always been some of the most valuable resources of human settlements. Climate changes and ever-increasing water demands registered in the last century have led to diminishing levels of groundwater reserves, as well as reduced recharging potential. Therefore, in order to use groundwater aquifers in a sustainable manner, it is required to identify areas with higher replenishing potential. The current study addresses the issue of generating a map for identifying differently ranked groundwater recharging potential values, in the aquifers of the Moldavian Plain region, Romania. For the purpose of conducting the analysis, maps were created through GIS based multi-criteria Analytic Hierarchy Process (AHP) and Catastrophe Theory (CT), with seven relevant, thematic, spatial layers: precipitation distribution, lithological strata, soil texture, declivity, drainage density, land use and the distribution of groundwater level tendencies. The results of the two methods of analysis are similar. Prediction differences are of maximum 3%, in the case of extreme classes (very bad and very good) and in the case of middle classes the deviation is not greater than 0.4%. Following the validation of the results generated by the two methods that were applied, it was observed that the predictions offered by CT are more accurate. This aspect can be based on the fact that the main factors that contribute to the prediction are different. This type of workflow emphasizes the necessity of implementing appropriate groundwater management plans for mitigating reservoir scarcity/depletion, and recommending sustainable solutions for future groundwater exploitation practices.
引用
收藏
页码:735 / 756
页数:22
相关论文
共 50 条
  • [1] Assessment of recharge capacity potential of groundwater using comparative multi-criteria decision analysis approaches
    Ionut MINEA
    Daniel BOICU
    Oana-Elena CHELARIU
    Marina IOSUB
    Andrei ENEA
    [J]. Journal of Geographical Sciences, 2022, (04) : 735 - 756
  • [2] Assessment of recharge capacity potential of groundwater using comparative multi-criteria decision analysis approaches
    Ionut Minea
    Daniel Boicu
    Oana-Elena Chelariu
    Marina Iosub
    Andrei Enea
    [J]. Journal of Geographical Sciences, 2022, 32 : 735 - 756
  • [3] Geospatial technology in groundwater recharge potential assessment using multi-criteria decision-making approach
    Singh, Prafull
    Verma, Pradipika
    Shahnawaz
    Singh, Shailesh Kumar
    [J]. CURRENT SCIENCE, 2024, 126 (07):
  • [4] Assessment of groundwater potential using multi-criteria decision analysis and geoelectrical surveying
    Shabani, Marzieh
    Masoumi, Zohreh
    Rezaei, Abolfazl
    [J]. GEO-SPATIAL INFORMATION SCIENCE, 2022, 25 (04) : 600 - 618
  • [5] Geographic information system and multi-criteria decision analysis for the determination of groundwater recharge potential: systematic review
    Maghribi, Aji Ahmed
    Dimyati, Muhammad
    Supriatna, S.
    [J]. WATER SUPPLY, 2022, 22 (09) : 7027 - 7039
  • [6] Groundwater Assessment Multi-criteria decision making
    Tanti, Kamal Kumar
    Singh, Prashant
    Roy, Swarnendu
    Chetia, Monisha
    Machahary, Ratamali
    Jhariya, Dalchand
    Chanu, Tongbram Malemnganbi
    Bora, Porag
    Gogoi, Priti Rekha
    Sah, Puja
    [J]. CURRENT SCIENCE, 2020, 118 (05): : 693 - 693
  • [7] CIMCA: Infusing computational intelligence in multi-criteria analysis to assess groundwater potential for recharge
    Zzaman, Rashed Uz
    Nayeem, Muhammad Ali
    Nowreen, Sara
    Newton, Imran Hossain
    Islam, A. K. M. Saiful
    Zahid, Anwar
    Rahman, M. Sohel
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2023, 169
  • [8] Assessing the accuracy of GIS-based Multi-Criteria Decision Analysis approaches for mapping groundwater potential
    Singh, Laishram Kanta
    Jha, Madan K.
    Chowdary, V. M.
    [J]. ECOLOGICAL INDICATORS, 2018, 91 : 24 - 37
  • [9] Professor Assessment Using Multi-Criteria Decision Analysis
    Hein, Nelson
    Kroenke, Adriana
    Rodrigues Junior, Moacir Manoel
    [J]. 3RD INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, ITQM 2015, 2015, 55 : 539 - 548
  • [10] Remote Sensing and GIS Based Groundwater Potential & Recharge Zones Mapping Using Multi-Criteria Decision Making Technique
    Agarwal, Rajat
    Garg, P. K.
    [J]. WATER RESOURCES MANAGEMENT, 2016, 30 (01) : 243 - 260