Water pollution reduction for sustainable urban development using machine learning techniques

I Priyadarshini, A Alkhayyat, AJ Obaid, R Sharma - Cities, 2022 - Elsevier
Water quality is affected by increased urbanization as pollutants produced in the urban
environment settle and contaminate water, and there is an increase in competition of water …

Enhancing waste management and prediction of water quality in the sustainable urban environment using optimized algorithm of least square support vector machine …

S Zhang, AH Omar, AS Hashim, T Alam, HAEW Khalifa… - Urban Climate, 2023 - Elsevier
Urban groundwater influences a wide range of processes in the natural world, including
climatic, geological, geomorphic, biogeochemical, ecotoxicological, hydrological, and …

Applications of machine learning to water resources management: A review of present status and future opportunities

AA Ahmed, S Sayed, A Abdoulhalik, S Moutari… - Journal of Cleaner …, 2024 - Elsevier
Water is the most valuable natural resource on earth that plays a critical role in the socio-
economic development of humans worldwide. Water is used for various purposes, including …

Water treatment and artificial intelligence techniques: a systematic literature review research

W Ismail, N Niknejad, M Bahari, R Hendradi… - … Science and Pollution …, 2021 - Springer
As clean water can be considered among the essentials of human life, there is always a
requirement to seek its foremost and high quality. Water primarily becomes polluted due to …

Identification of indicators for sustainable urban water development planning

SP Maurya, PK Singh, A Ohri, R Singh - Ecological Indicators, 2020 - Elsevier
Rapid urbanization has put tremendous pressure on the extraction of natural water
resources. Uncontrolled extraction of water has further created water stress in the urban …

[HTML][HTML] Smart water resource management using Artificial Intelligence—A review

SR Krishnan, MK Nallakaruppan, R Chengoden… - Sustainability, 2022 - mdpi.com
Water management is one of the crucial topics discussed in most of the international forums.
Water harvesting and recycling are the major requirements to meet the global upcoming …

Toward urban sustainability and clean potable water: Prediction of water quality via artificial neural networks

T Dawood, E Elwakil, HM Novoa… - Journal of Cleaner …, 2021 - Elsevier
Water quality failure is a long-standing problem worldwide, causing illness, poisoning,
disease outbreak, and claiming human lives in the urban communities. Potable water can be …

A comprehensive analysis of the effectiveness of machine learning algorithms for predicting water quality

P Rawat, M Bajaj, V Sharma… - … Conference on Innovative …, 2023 - ieeexplore.ieee.org
This study provides a comprehensive analysis of the effectiveness of eight different machine
learning algorithms for predicting water quality. The algorithms, which include Gaussian …

Artificial ecosystem optimization with deep learning enabled water quality prediction and classification model

N Islam, K Irshad - Chemosphere, 2022 - Elsevier
The majority of what is needed to maintain life is found in the approximately 70 percent of
the earth's surface that is composed of water. Water quality has been deteriorating at an …

Deep learning method for minimizing water pollution and air pollution in urban environment

L Zhu, ZJBM Husny, NA Samsudin, HP Xu, C Han - Urban Climate, 2023 - Elsevier
Rapid urbanization impacts water quality because contaminants from the urban environment
accumulate in the water and pollute it and because there is more rivalry for water among …