Results 21 to 30 of about 7,970 (210)

Assessment of Streamflow Regime Alterations in Tang River, China [PDF]

E3S Web of Conferences, 2019
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, Liu Qiang, Yuan Xiaomin, Yan Sirui   +3 more
doaj   +1 more source

Quantitative Estimation on Contribution of Climate Changes and Watershed Characteristic Changes to Decreasing Streamflow in a Typical Basin of Yellow River

Frontiers in Earth Science, 2021
Climate changes and underlying surface of the watershed have affected the evolution of streamflow to a different degree. It is of great significance to quantitatively evaluate main drivers of streamflow change for development, utilization, and planning ...
Xizhi Lv, Shanshan Liu, Shaopeng Li, Yongxin Ni, Tianling Qin, Qiufen Zhang   +5 more
doaj   +1 more source

Streamflow classification by employing various machine learning models for peninsular Malaysia

Scientific Reports, 2023
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, Mhd Adel Momo, K. L. Chong, Ali Najah Ahmed, Yuk Feng Huang, Mohsen Sherif, Ahmed El-Shafie   +6 more
doaj   +1 more source

Spatiotemporal differences in dominant drivers of streamflow evolution on the Loess Plateau

Frontiers in Earth Science, 2023
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, Qiufen Zhang, Xizhi Lv, Xizhi Lv, Yongxin Ni, Yongxin Ni, Yongxin Ni, Li Ma, Li Ma, Jianwei Wang, Jianwei Wang, Desheng Zhu, Shaoye Wang   +12 more
doaj   +1 more source

Priority Research Topics to Improve Streamflow Data Availability in Data-Scarce Countries: The Case for Ethiopia

Hydrology, 2023
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, Fasikaw Atanaw Zimale, Tekalegn Ayele Woldesenbet, Mulugeta Genanu Kebede, Selamawit Damtew Amare, Getachew Tegegne, Kirubel Mekonnen, Alemseged Tamiru Haile   +7 more
doaj   +1 more source

Intercomparison of a Regional Climate Model Ensemble for Selected European Catchments

International Journal of Climatology, EarlyView.
This study analyzes a regional climate model ensemble for water cycle and water resource research with two models. Results show that ICON generally outperforms TSMP1 simulations, mainly with 2‐m temperature and precipitation. These findings serve as a baseline evaluation that shows how key structural differences influence the model skill.
Jane Leonor Roque, Francis Da Silva Lopes, Julian Alberto Giles, Benjamin D. Gutknecht, Bernd Schalge, Yikui Zhang, Marco Ferro, Petra Friederichs, Klaus Goergen, Stefan Poll, Arianna Valmassoi   +10 more
wiley   +1 more source

Compound Meteorological and Hydrological Hot‐Dry and Hot‐Wet Extremes Over Global Land Areas: Spatiotemporal Changes, Attribution, and Drivers

International Journal of Climatology, EarlyView.
The changes in joint return period of compound meteorological hot‐dry (CMHHE) and hot‐wet (CMHWE) and compound hydrological hot‐dry (CHHDE) and hot‐wet (CHHWE) extremes were attributed to changes in associated univariate extremes and their dependence.
Ruting Yang, Silong Zhang, Xiongpeng Tang, Chao Gao, Haibin Zhang, Xin Yin, Yanli Liu   +6 more
wiley   +1 more source

Short‐Term Agricultural Drought Prediction Using Explainable Data‐Driven Models and Quantified Uncertainty

International Journal of Climatology, EarlyView.
This study demonstrates that explainable deep learning models can skilfully predict short‐term agricultural drought using standardized drought indices, capturing hydroclimatic memory and seasonal persistence. The integration of uncertainty quantification and SHAP‐based interpretability reveals the dominant role of antecedent moisture and climate ...
K. Saranya Das, N. R. Chithra, Venkataramana Sridhar   +2 more
wiley   +1 more source

Long-term changes and variability in rainfall and streamflow in Luvuvhu River Catchment, South Africa

South African Journal of Science, 2015
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, Rachel Makungo, Tinyiko R. Nkuna   +2 more
doaj   +1 more source

Shifting Patterns of Precipitation Extremes in the Southeast Atlantic Basin—Brazil: From Observed Trends to Future Projections

International Journal of Climatology, EarlyView.
Observed trends and EC‐Earth3 climate model projections demonstrate expressive changes in the Southeast Atlantic Hydrographic Basin, Brazil. Significant increases in rainfall intensity and dry spell duration in the present climate are followed by projected amplification of extreme precipitation under future warming, particularly under the SSP5‐8.5 ...
Pedro Lucas Oliveira‐Santos, Wanderson Luiz‐Silva, Daniela Carneiro Rodrigues, Fabricio Polifke, Antonio Carlos Oscar‐Júnior   +4 more
wiley   +1 more source