In an effort to use climate predictions for streamflow and malaria hazard prediction, the decadal variability of the El Niño–Southern Oscillation (ENSO) influence on streamflow and rainfall in the Kelani River in Sri Lanka was investigated based on records from 1925 to 1995. In the last half century, the warm ENSO phase was associated with decreased annual streamflow and the cold ENSO phase wit...

High-precision streamflow forecasting has important implications for the water resources efficient planning and rational allocation. Recently, data-driven models represented by deep learning have become a research hotspot. However, existing study less on application of attention mechanism in prediction. This proposes novel model based gated recurrent units mechanism, GRU-AT. The automatically e...

Recent research has suggested that changes in temperature and precipitation events due to climate change have had a significant impact on the availability and timing of streamflow. In this study, monthly temperature and precipitation data collected over 29 climate divisions covering the entire Colorado River basin and monthly natural flow data from 29 U.S. Geological Survey (USGS) gauge locatio...

[1] A poleward increase in phytoplankton biomass along the West Coast of North America has been attributed to increasing river runoff towards the north. We combine streamflow and shelf width data with satellite-derived estimates of phytoplankton biomass to quantify the relationship between these variables. We find that a combination of winter streamflow and shelf width can account for over 80% ...

In this research, monthly hydrological and daily meteorological data were collected across China for the period 1956–2012. Modified Mann–Kendall tests, double mass curve analysis, and correlation statistics were performed to identify the long-term trends and interrelation of the hydrometeorological variables and to examine the influencing factors of streamflow and sediment. The results are as f...

Runoff forecasting is important for water resource management. Although deep learning models have substantially improved the accuracy of runoff prediction, temporal and feature dependencies between rainfall–runoff time series elements not been effectively exploited. In this work, we propose a new hybrid model to predict hourly streamflow: SA-CNN-LSTM (self-attention, convolutional neural networ...

Monitoring of stable water isotopes (18O and 2H) in precipitation and surface waters in the Mackenzie River basin of northern Canada has created new opportunities for researchers to study the complex hydrology and hydroclimatology of this remote region. A number of prior studies have used stable isotope data to investigate aspects of the hydrological regime of the wetland-dominated terrain near...

River systems in semiarid regions are susceptible to rapid and dramatic channel erosion and arroyo formation. Climate plays an important role in arroyo development through changes in precipitation intensity, seasonality, and variability. Here, trends in precipitation and streamflow at the annual, monthly, and daily timescales for the last 50 yr are analyzed for the Rio Puerco Basin in northwest...

Rainfall runoff models are used to estimate design floods. These models require several inputs such as, rainfall duration, intensity, loss etc. For baseflow separation in design flood estimation the estimation of continuing loss (CL) is vital. The surface runoff has to be separated from the stream flow hydrograph. To obtain the volume of surface runoff, the use of an appropriate baseflow separa...

The adaptation of land-use patterns is an essential aspect of minimizing the inevitable impact of climate change at regional and local scales; for example, adapting watershed land-use patterns to mitigate the impact of climate change on a region's hydrology. The objective of this study is to simulate and assess a region's ability to adapt to hydrological changes by modifying land-use patterns i...