Applying artificial intelligence (AI), machine learning (ML), and big data to natural resource
management (NRM) is revolutionizing how natural resources are managed. To gain more …

Thermal conductivity is a specific thermal property of soil which controls the exchange of
thermal energy. If predicted accurately, the thermal conductivity of soil has a significant effect …

Stormwater management modeling tools have been utilized to enhance stormwater
operating systems, assess modeling system efficiency, and evaluate the impacts of urban …

Floods are one of the most devastating forces in nature. Several approaches for identifying
flood-prone locations have been developed to reduce the overall harmful impacts on …

Abstract International Roughness Index (IRI) is an important pavement performance
indicator that is widely used to reflect existing pavement condition and ride quality. Due to …

Abstract Machine learning is one effective way of increasing the accuracy of sediment
transport models. Machine learning captures patterns in the sequence of both structured and …

The present study investigates and evaluate the scope and potential of modern computing
tools and techniques such as ensembled machine learning methods in estimating ETo. Five …

Abstract The basin of Oum Er Rbia River (Morocco) has been greatly affected by water-
related erosion leading to loss of soils, land degradation, and deposits of sediment in dams …

Increasing the depth of mining leads to the location of the mine pit below the groundwater
level. The entry of groundwater into the mining pit increases costs as well as reduces …

Prediction of long-term rainfall patterns is a highly challenging task in the hydrological field
due to random nature of rainfall events. The contribution of monthly rainfall is important in …