Develo** accurate soft computing methods for groundwater level (GWL) forecasting is
essential for enhancing the planning and management of water resources. Over the past two …

River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …

To ensure safe drinking water sources in the future, it is imperative to understand the quality
and pollution level of existing groundwater. The prediction of water quality with high …

The development of computer aid models for heavy metals (HMs) simulation has been
remarkably advanced over the past two decades. Several machine learning (ML) models …

Devastation possibility of disenfranchising poor people of emerging countries like India is
due to urban climate change. Hence, an urgent and efficient urban planning strategy shall …

The health risks of lead-zinc (Pb–Zn) tailings from heavy metal (HMs) contamination have
been gaining increasing public concern. The dispersal of HMs from tailings poses a …

Considering the high toxicity of arsenic (As), its contamination of soil represents an alarming
environmental and public health issue. Existing soil heavy metal concentration estimation …

In the present study, two innovative techniques namely, Deep Learning (DL) and Gradient
boosting Machine (GBM) models are developed based on a maximum air temperature …

Widespread soil contamination endangers public health and undermines global attempts to
achieve the United Nations Sustainable Development Goals. Due to the lack of relevant …

Natural disasters always have a damaging effect on our way of life. Landslides cause
serious damage to both human and natural resources around the world. In this paper, the …