Results 81 to 90 of about 92,110 (294)

Mapping Flood Hazard Across Mainland China Through a Physics‐Based Global Flood Model With Embedded Reservoir Operation Scheme

Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.
ABSTRACT China has complex topography, diverse flood mechanisms, and high population exposure, making it highly vulnerable to flooding, highlighting the need for robust national‐scale hazard assessments to identify flood‐prone regions. However, most existing hazard studies are limited to regional scales or rely on empirical indicator‐based methods that
Jayesh Parmar, Subhankar Karmakar, Cheng Zhang, Yuexiao Liu, Slobodan P. Simonovic   +4 more
wiley   +1 more source

Comment on \u201cCan assimilation of crowdsourced data in hydrological modelling improve flood prediction?\u201d by Mazzoleni et al. (2017) [PDF]

, 2017
Citizen science and crowdsourcing are gaining increasing attention among hydrologists. In a recent contribution, Mazzoleni et al. (2017) investigated the integration of crowdsourced data (CSD) into hydrological models to improve the accuracy of real-time
Viero, Daniele P.
core   +3 more sources

Geospatial Analysis of Population Exposure to Flooding in the Sudd Region, South Sudan

Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.
ABSTRACT The Sudd wetland in South Sudan extends over 90,000 km2. Large‐scale flood events in recent years (2019–2022) are said to have led to the displacement of an estimated 1.8 million people in total. However, these estimates are approximate and to date there has not been a systematic analysis of population exposure to flooding in the Sudd region ...
Deng Majok Chol, Jim W. Hall, Kevin G. Wheeler, Mark Bernhofen, Courtney A. Di Vittorio, Kenneth M. Strzepek   +5 more
wiley   +1 more source

June streamflow

Eos, Transactions American Geophysical Union, 1985
Streamflow remained below the normal range in parts of most of the northeastern, southeastern, and Gulf Coast states, as well as parts of Nebraska, Missouri, Montana, South Dakota, and southern California during June, according to a month end check on the nation's water resources by the U.S. Geological Survey (USGS).
openaire   +1 more source

Optimizing Flood Hazard Zonation and Planning Landscape‐Based Mitigation Measures in Gimba Sub Watersheds, Northeastern Ethiopia: A Comprehensive Approach

Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.
ABSTRACT Flooding remains one of the most critical natural hazards threatening livelihoods, infrastructure, and ecological systems in Ethiopia's highland landscapes. This study presents a rigorously integrated, multi‐criteria flood risk assessment that combines the Analytical Hierarchy Process (AHP) with GIS‐based spatial modeling to delineate ...
Degfie Teku, Tesfaldet Sisay, Alemnew Ali, Amanuel Ayalew   +3 more
wiley   +1 more source

Direct vegetation response to recent CO2 rise shows limited effect on global streamflow

Nature Communications
Global streamflow, crucial for ecology, agriculture, and human activities, can be influenced by elevated atmospheric CO2 (eCO2) though direct regulation of vegetation physiology and structure, which can either decrease or increase streamflow.
Haoshan Wei, Yongqiang Zhang, Qi Huang, Francis H. S. Chiew, Jinkai Luan, Jun Xia, Changming Liu   +6 more
doaj   +1 more source

Analysing the Effects of Atmospheric Teleconnections on Streamflow Regime in the Eastern Black Sea Basin in Türkiye

Doğal Afetler ve Çevre Dergisi
Analysing the variations in hydrological cycle components is essential for water resources planning and management. In this study, the relationship between the streamflow data belonging to five discharge gauging stations in the Eastern Black Sea Basin in
Cenk Sezen
doaj   +1 more source

January streamflow

Eos, Transactions American Geophysical Union, 1986
January flows were average to well above average for about 75% of the nation's key index streams, but many flows had dropped sharply from the extremely wet conditions in December, according to the U.S. Geological Survey (USGS). USGS hydrologists said that record high flows for January were set at four stream sites in Wisconsin, Utah, Minnesota, and ...
openaire   +1 more source

Improved streamflow forecasting using self-organizing radial basis function artificial neural networks [PDF]

, 2004
Streamflow forecasting has always been a challenging task for water resources engineers and managers and a major component of water resources system control. In this study, we explore the applicability of a Self Organizing Radial Basis (SORB) function to
Gupta, HV, Hsu, KL, Moradkhani, H, Sorooshian, S   +3 more
core   +1 more source

Revealing Deep Learning Model Preferences for Spatio‐Temporal Drivers of Runoff Forecasting: A SHAP‐Based Comparative Study

Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.
ABSTRACT Accurate runoff forecasting is essential for flood prediction and disaster preparedness amid increasing hydrological extremes driven by climate change. While deep learning models offer high efficiency, most interpretability studies focus on single models.
Ziru Yang, Yong Lei, Guoru Huang, Zhaoyang Zeng, Long Qi, Wenjie Chen   +5 more
wiley   +1 more source