Identifying climate change impacts on surface water supply in the southern Central Valley, California
Mountain regions in arid and semi-arid climates, such as California, are considered
particularly sensitive to climate change because global warming is expected to alter …
particularly sensitive to climate change because global warming is expected to alter …
[HTML][HTML] Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran
Study region Sixteen different sites from two provinces (Lorestan and Illam) in the western
part of Iran were considered for the field data measurement of cumulative infiltration …
part of Iran were considered for the field data measurement of cumulative infiltration …
Prediction of hydraulic jumps on a triangular bed roughness using numerical modeling and soft computing methods
This study investigates the characteristics of free and submerged hydraulic jumps on the
triangular bed roughness in various T/I ratios (ie, height and distance of roughness) using …
triangular bed roughness in various T/I ratios (ie, height and distance of roughness) using …
Approaches for the short-term prediction of natural daily streamflows using hybrid machine learning enhanced with grey wolf optimization
AD Martinho, CM Saporetti, L Goliatt - Hydrological Sciences …, 2023 - Taylor & Francis
This paper presents the development of hybrid machine learning models to forecast the
natural flows of water bodies. Five models were considered under the analysis: extreme …
natural flows of water bodies. Five models were considered under the analysis: extreme …
Understanding suitability of MIKE 21 and HEC-RAS for 2D floodplain modeling
Urbanization leads to increase in impervious area and eventually increasing vulnerability to
urban flooding. Deer Creek in the city of Brentwood, Missouri, has been experiencing major …
urban flooding. Deer Creek in the city of Brentwood, Missouri, has been experiencing major …
Investigating flood risks of rainfall and storm tides affected by the parameter estimation coupling bivariate statistics and hydrodynamic models in the coastal city
H Xu, K Xu, T Wang, W Xue - … of environmental research and public health, 2022 - mdpi.com
The public health risk caused by urban floods is a global concern. Flood risks are amplified
by the interaction of rainfall and storm tides in coastal cities. In this study, we investigate the …
by the interaction of rainfall and storm tides in coastal cities. In this study, we investigate the …
Utilizing hybrid machine learning techniques and gridded precipitation data for advanced discharge simulation in under-monitored river basins
R Morovati, O Kisi - Hydrology, 2024 - mdpi.com
This study addresses the challenge of utilizing incomplete long-term discharge data when
using gridded precipitation datasets and data-driven modeling in Iran's Karkheh basin. The …
using gridded precipitation datasets and data-driven modeling in Iran's Karkheh basin. The …
Future changes in water supply and demand for Las Vegas valley: A system dynamic approach based on CMIP3 and CMIP5 climate projections
The study investigated the impact on water supply and demand as an effect of climate
change and population growth in the Las Vegas Valley (LVV) as a part of the Thriving Earth …
change and population growth in the Las Vegas Valley (LVV) as a part of the Thriving Earth …
Assessing the effects of climate variability on groundwater in Northern India
Groundwater is one of the important hydrological cycles that has a major role in balancing
the ecosystem. The drastic change in climate in the twenty-first century has adversely …
the ecosystem. The drastic change in climate in the twenty-first century has adversely …
Analyzing the impacts of serial correlation and shift on the streamflow variability within the climate regions of contiguous United States
The spatiotemporal hydrologic variability over different regions of the contiguous United
States poses the risk of droughts and floods. Understanding the historic variations in …
States poses the risk of droughts and floods. Understanding the historic variations in …