Results 31 to 40 of about 79,529 (308)
Analysis of Daily Streamflow Complexity by Kolmogorov Measures and Lyapunov Exponent [PDF]
Analysis of daily streamflow variability in space and time is important for water resources planning, development, and management. The natural variability of streamflow is being complicated by anthropogenic influences and climate change, which may ...
Arsenić, Ilija +6 more
core +2 more sources
Lack of consistent streamflow data has been an increasing challenge reported by many studies in developing countries. This study aims to understand the current challenges in streamflow monitoring in Ethiopia to prioritize research topics that can support
Meron Teferi Taye +7 more
doaj +1 more source
Bringing Statistical Learning Machines Together for Hydro-Climatological Predictions - Case Study for Sacramento San Joaquin River Basin, California [PDF]
Study region: Sacramento San Joaquin River Basin, California Study focus: The study forecasts the streamflow at a regional scale within SSJ river basin with largescale climate variables. The proposed approach eliminates the bias resulting from predefined
Ahmad, Sajjad +4 more
core +2 more sources
Streamflow classification by employing various machine learning models for peninsular Malaysia
Due to excessive streamflow (SF), Peninsular Malaysia has historically experienced floods and droughts. Forecasting streamflow to mitigate municipal and environmental damage is therefore crucial. Streamflow prediction has been extensively demonstrated in
Nouar AlDahoul +6 more
doaj +1 more source
Assessment of Streamflow Regime Alterations in Tang River, China [PDF]
The biodiversity and integrity of river ecosystems are depending on the natural streamflow regime. Therefore, assessing alteration of hydrologic regimes becomes a fundamental step in river ecosystem protection and restoration. In this paper, the Range of
Sun Yingshan +3 more
doaj +1 more source
Daily bias‐correction aggregated to monthly scale preserves the cross‐correlation between precipitation and temperature better than direct monthly bias‐correction. The Canonical Correlation Analysis (CCA) method outperforms Quantile Regression (QR) and MACA, yielding lower bias and higher accuracy, highlighting its suitability for multivariate climate ...
Chingka Kalai +3 more
wiley +1 more source
We investigated long-term changes and variability in daily rainfall and streamflow in the Luvuvhu River Catchment, South Africa. Changes and variability in rainfall and streamflow impact on available water resources and the allocation of these resources.
John O. Odiyo +2 more
doaj +1 more source
Spatiotemporal differences in dominant drivers of streamflow evolution on the Loess Plateau
Previous studies have found that climate change and underlying surface change are the most direct and important drivers of the streamflow change in the Yellow River Basin.
Qiufen Zhang +12 more
doaj +1 more source
Uncertainty in projections of streamflow changes due to climate change in California [PDF]
Understanding the uncertainty in the projected impacts of climate change on hydrology will help decision-makers interpret the confidence in different projected future hydrologic impacts.
Duffy, Philip B., Maurer, Edwin P.
core +2 more sources
Characterisation of Drought and Wet Events in the Paraíba do Sul River Basin—Brazil
Trend analysis identified statistically significant reductions in precipitation (at the 5% significance level) at specific pluviometric stations in São Paulo and Rio de Janeiro, while other areas, mainly in Minas Gerais, experienced significant increases in annual and seasonal rainfall, particularly during summer and spring. These significant trends at
Gildo Rafael de Almeida Santana +4 more
wiley +1 more source

