Water resources of desired quality and quantity are the foundation for human survival and
sustainable development. To better protect the water environment and conserve water …

Drinking water is essential to public health and socioeconomic growth. Therefore, assessing
and ensuring drinking water supply is a critical task in modern society. Conventional …

Dissolved oxygen (DO) is an essential indicator for assessing water quality and managing
aquatic environments, but it is still a challenging topic to accurately understand and predict …

The parameters from full-scale biogas plants are highly nonlinear and imbalanced, resulting
in low prediction accuracy when using traditional machine learning algorithms. In this study …

Besides sulfate-induced diarrhea, recent studies have emphasized that groundwater sulfate
drives the release of arsenic in groundwater and accelerates water pipeline corrosion …

Understanding the transformation process of dissolved organic matter (DOM) in the sewer is
imperative for comprehending material circulation and energy flow within the sewer. The …

Convolutional neural networks (CNNs) have been commonly used in medical decision
support systems to predict and diagnose different diseases with good precision. CNNs are …

Abstract Machine learning, Deep learning, and water quality data have been used in recent
years to predict the outbreak of harmful algae, especially Microcystis, and analyze outbreak …

The study of base flow is essential for sustainable water management. By understanding the
dynamics of base flow, policymakers can make informed decisions to ensure the long-term …

Abstract Until recently, Northern China was one of the most SO 2 polluted regions in the
world. The lack of long-term and spatially resolved surface SO 2 data hinders retrospective …