The recent advancement in data science coupled with the revolution in digital and satellite
technology has improved the potential for artificial intelligence (AI) applications in the …

The goal of this paper was to conduct a systematic literature analysis on the application of
different types of artificial intelligence models in surface water quality monitoring. The …

In recent years, fuzzy logic has emerged as a powerful technique in the analysis of
hydrologic components and decision making in water resources. Problems related to …

Groundwater quality which relates closely to human health has become as important as its
quantity due to the demand for safe water. In the present study, an entropy-weighted fuzzy …

Groundwater contamination has become a serious environmental threat throughout the
world in the era of Anthropocene. Thus, the present study examined the groundwater quality …

Green infrastructure (GI) is widely recognized for reducing risk of flooding, improving water
quality, and harvesting stormwater for potential future use. GI can be an important part of a …

The drinking water quality index (DWQI) transforms multiple water quality parameters into a
dimensionless number, thus, presenting comprehensive status of drinking water in an …

The main objective of the present work is to provide a clear insight into receiving inland
surface water quality in Kashipur city of Uttarakhand state, India, due to the impact of …

Water quality indices (WQIs) are well-established tools for water quality management and
effective community communication. However, distinct WQIs construction processes give …

A fuzzy improved water pollution index was proposed based on fuzzy inference system and
water pollution index. This method can not only give a comprehensive water quality rank, but …