The study investigates the latent pollution sources and most significant parameters that
cause spatial variation and develops the best input for water quality modelling using …

Water quality and scarcity are key topics considered by the Sustainable Development Goals
(SDGs), institutions, policymakers and stakeholders to guarantee human safety, but also …

The water quality index (WQI) is an essential indicator to manage water usage properly. This
study aimed at applying a machine learning-based approach integrating attribute-realization …

Rural areas largely lack access to improved drinking water, sanitation, and hygiene (WaSH)
facilities in India. This requires documentation of WaSH practices at the local level for better …

Within a river catchment, the relationship between pollutant load migration and its related
factors is nonlinear generally. When neural network models are used to identify the …

Abstract Knowledge of sediment transport is important to understand the transportation and
recycling of elements and matter in the Earth system. Usually, sediment transport in rivers is …

Water quality is incredibly important in both environmental and financial aspects. Water
bodies are vulnerable to contamination and hence quality of water is a serious issue …

In order to assess the social factors affecting the water quality of the Zhanghe River and
predict the potential impact of growth in primary, secondary, tertiary industries and …

Software quality assurance has grown in importance in the fast-paced world of software
development. One of trickiest parts of creating and maintaining software is predicting how …

Abstract The Red River system plays an important role in the socio-economic development
of the Northern of Vietnam. Therefore, regular monitoring and evaluation of water quality …