Analysis of sustainable groundwater management policies for urban development

被引:1
|
作者
Kuchampudi, Sandeep Varma [1 ]
Panchal, Sandeep [2 ]
Naveen, S. [3 ]
Suresh, V. [4 ]
Satishkumar, P. [10 ,5 ]
Abdulrahman, Imad Saeed [6 ]
Salman, Hayder Mahmood [7 ]
Singh, Pallavi [8 ]
Padmapriya, S. [9 ]
机构
[1] Sagi Rama Krishnam Raju Engn Coll, Dept Mech Engn, Bhimavaram, Andhra Prades, India
[2] Govt Polytech Mankeda, Dept Civil Engn, Agra, Uttar Pradesh, India
[3] Saveetha Sch Engn SIMATS, Dept Mech Engn, Chennai, India
[4] KIT Kalaignarkarunanidhi Inst Technol, Dept Mech Engn, Coimbatore, Tamil Nadu, India
[5] Rathinam Tech Campus, Dept Mech Engn, Coimbatore, Tamil Nadu, India
[6] Al Farahidi Univ, Coll Tech Engn, Baghdad, Iraq
[7] Al Turath Univ Coll, Baghdad, Iraq
[8] Graph Era Deemed Univ, Dept Biotechnol, Dehra Dun 248002, Uttaranchand, India
[9] Sankara Polytech Coll, Dept Math, Coimbatore, Tamil Nadu, India
关键词
Enhanced Fuzzy Analytic Hierarchy Process (E-Fuzzy AHP); groundwater management; Improved Particle Swarm Optimization (IPSO); Multi-Criteria Decision Making (MCDM); sustainability;
D O I
10.1002/tqem.22090
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Groundwater is essential to human well-being and sustains a variety of aquatic ecosystems in both urban and rural settings. Yet, it is commonly overlooked in these contexts. As a result, groundwater may be very important to the development and well-being of many nations if it is properly evaluated and utilized. Although the possibility for sustainable groundwater resource development is still debated in the literature, these issues still lack quantitative understanding. In order to assess groundwater potential in two different urbanized regions of "Northern Kerala, Southern India," this research uses the "Enhanced Fuzzy Analytic Hierarchy Process (E-Fuzzy AHP) based Multi-Criteria Decision Making (MCDM)-Geospatial Framework employing Improved Particle Swarm Optimization (IPSO)". The study area is a coastal region that is quickly becoming urbanized and relies on groundwater resources to meet its basic needs. By incorporating both spatial and non-spatial data into the Geographic Information System (GIS) platform, a groundwater potential zone map with an accurate integer value was created, known as the "groundwater potential index (GWPI)". The very excellent potential zone occupies 35% and 11%, respectively, of the "urban and peri-urban zones," according to the final groundwater potential map, which employed the quantile technique to split the research territory into four zones. The statistical effectiveness and dependability of results in the overall decision-making phase were examined in the validation study using the data on mean water depth level, and it was found that the reliability was well within the tolerance threshold.
引用
收藏
页码:389 / 399
页数:11
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