Assessing the impact of COVID-19 lockdown on surface water quality in Ireland using advanced Irish water quality index (IEWQI) model

Assessment of hydrogeochemistry in groundwater using water quality index model and indices approaches

“…Turning to the practical standpoint of this research work, it is worth mentioning that the sustainable management of water resources in often challenging due to financial compliance, institutional framework, requirement of sophisticated analytical procedure and establishment, lack of skilled human resources [ [ 31 , [114] , [115] , [116] , [117] , [118] , [119] ]]. Developed countries in the world mitigate these challenges through regional management tools (e.g., Water Framework Directive for European countries) but it remains as a tremendous challenge for developing countries like Bangladesh.…”

Qualidade da água em bacia hidrográfica do nordeste brasileiro: aplicação do IQA CCME e do índice de poluição de Nemerow

“…É inegável contudo, que tensores antropogênicos desempenham papel significativo na deterioração desse recurso (Zhang et al, 2021). Também, o gerenciamento inadequado de efluentes domésticos e industriais, bem como de resíduos urbanos e agrícolas tem influenciado o processo de degradação (Rahman;Jahanara;Jolly, 2021;Uddin et al, 2023).…”

“…A subjetividade é evidenciada em etapas padrões como: (1) seleção de parâmetros; (2) geração de subíndices; (3) ponderação dos parâmetros; e (4) cálculo da pontuação final (Kachroud et al, 2019;Uddin;Nash;Olbert, 2021;Panagopoulos et al, 2022).…”

Enhancing groundwater quality assessment in coastal area: A hybrid modeling approach

“…Roughly one-third of the world's fresh water supply originates from GW, with domestic, agricultural, and industrial sectors utilizing 36 %, 42 %, and 27 % of it, respectively [ 2 ]. However, the quality of GW is under significant threat due to an intricate combination of human activities and climatic factors especially in coastal areas, as highlighted in recent studies [ [3] , [4] , [5] , [6] , [7] ]. Various pressures contribute to GW pollution, including industrial discharge, agricultural runoff, improper waste disposal, and urban development [ 8 , 9 ].…”

“…The SVM/SVR with their high-dimensional adaptability, demonstrated robust performance in handling complex relationships. On the contrary, XGBoost stands out for its ability to sequentially refine model predictions, often yielding superior accuracy [ 47 ] whereas GPR excels in capturing uncertainty and provides a probabilistic framework for understanding GWQ variations [ 6 ]. Nevertheless, each of the above-mentioned algorithms present distinctive challenges.…”