Recently the Southwest has experienced a spate of dryness, which presents a challenge to the sustainability of current water use by human and natural systems in the region. In the Colorado River Basin, the early 21st century drought has been the most extreme in over a century of Colorado River flows, and might occur in any given century with probability of only 60%. However, hydrological model ...

The increasing rate of the global surface temperature will have a significant impact on local hydrological regimes and water resources, which leads to the assessment of the climate change impacts. Main parameters that are closely related to the climate change are temperature and precipitation. Therefore, there is a growing need for an integrated analysis that can quantify the impacts of climate...

The hydrological cycle is an important process for monitoring various functions of the landscape. However, changes from land use and natural events, such as drought, have caused several problems in watersheds, water scarcity episodes. Thus, creation tools these events environmental research. Therefore, objective this work delimiting potential biomass elaborates balance Serra Azul stream sub-bas...

Drought is one of the most threatened natural vulnerabilities that are initiated by reason of scarcity of rain in a specific region. By comparing with all other natural hazards, it is very tough to discover since it develops slowly and have massive effect on the society and environment. Hence, in many countries satellite based drought indications have been recommended for early identification. ...

Hydrological drought is critical from both water management and ecological perspectives. Depending on its hydrological physical features, the resilience level of a catchment to groundwater can differ that meteorological drought. This study presents comparison indices based levels 1987 2018. A small area in Croatia, consisting two sub-catchments with continental climate minimum land-use changes ...

The 2011 East Africa drought caused dire situations across several countries and led to a widespread and costly famine in the region. Numerous dynamic and statistical drought prediction models have been used for providing drought information and/or early warning. The concept of Ensemble Streamflow Prediction (ESP) has been successfully applied to univariate drought indicators (e.g., the Standar...

Understanding drought from multiple perspectives is critical due to its complex interactions with crop production, especially in India. However, most studies only provide singular view of drought and lack the integration with specific crop phenology. In this study, four time series of monthly meteorological, hydrological, soil moisture, and vegetation droughts from 1981 to 2013 were reconstruct...

Hydrological drought forecasting is a key component in water resources modeling as it relates directly to availability. It crucial managing and operating dams, which are constructed rivers. In this study, multiple extreme learning machines (ELMs) utilized forecast hydrological drought. For purpose, the standardized index (SHDI) precipitation (SPI) computed for 1 3 aggregated months. Two scenari...