The present study aimed to predict the maximum seasonal wave height by new integrative
data driven methods. For this purpose, two data-driven techniques, that are, the Adaptive …

Rapid urbanization has great potential to adversely impact the local hydrological cycle, the
environment, and ecosystems, as well as trigger severe problems, such as urban flooding …

Rainfall and runoff are the significant hydrologic component in the water resources
assessment. Numerous methods are available to estimate runoff from rainfall; however, the …

Although physical models at present have made important achievements in the assessment
of non-point source pollution (NPSP), the requirement for large volumes of data and their …

The economic and social development evaluation system with the Gross Domestic Product
(GDP) as the leading indicator is no longer applicable to the current social progress in …

This study presents a procedure to estimate more accurate direct surface runoff from large
rainfall (> 25.4 mm)-runoff events. Improved models (M5-M7) are derived by coupling two …

Ecological and hydrological impacts are expected when watersheds are under commercial
eucalyptus. In this study we evaluated event-based hydrology and sedimentation in paired …

Both human activities and climate change have posed great impacts on the vegetation
changes in the context of global climate change. It is necessary to identify the areas of man …

The complexity and fragility of the Yellow River Basin ecosystem limits its economic growth
and sustainable social development as a strategic planning area for development in western …

In this study, we calibrated and tested the Soil Conservation Service Curve Number (SCS-
CN) based Modified Sahu-Mishra-Eldo (MSME) model for predicting storm event direct …