Study on the Characteristics of Rainfall Runoff in the Kinugawa River Basin and the Evacuation Behavior of the Residents at the Time of Kanto and Tohoku Flood Disaster in September, 2015

2017 ◽  
Vol 12 (1) ◽  
pp. 176-186 ◽  
Author(s):  
Yoshimasa Morooka ◽  
◽  
Tadashi Yamada ◽  
Keyword(s):  
River Basin ◽  
Large Scale ◽  
Flood Disaster ◽  
Rainfall Runoff ◽  
Rainfall Characteristics ◽  
Temporal Characteristics ◽  
Evacuation Behavior ◽  
Eventual Collapse

This paper discusses the Kinugawa River basin, where an overflow and overtopping of the embankment along with its eventual collapse occurred, resulting in a large-scale inundation during the Kanto and Tohoku Flood Disaster in September 2015. The spatial-temporal characteristics of rainfall, characteristics of rainfall runoff, and evacuation behavior of the residents are investigated and analyzed.

scholarly journals Using the Global Hydrodynamic Model and GRACE Follow-On Data to Access the 2020 Catastrophic Flood in Yangtze River Basin

2021 ◽  
Vol 13 (15) ◽  
pp. 3023
Author(s):  
Jinghua Xiong ◽  
Shenglian Guo ◽  
Jiabo Yin ◽  
Lei Gu ◽  
Feng Xiong
Keyword(s):  
River Basin ◽  
Hydrodynamic Model ◽  
Yangtze River ◽  
Large Scale ◽  
Yangtze River Basin ◽  
The Yangtze River ◽  
Ecosystem Monitoring ◽  
Catastrophic Flood ◽  
Basin Scale ◽  
The Yangtze River Basin

Flooding is one of the most widespread and frequent weather-related hazards that has devastating impacts on the society and ecosystem. Monitoring flooding is a vital issue for water resources management, socioeconomic sustainable development, and maintaining life safety. By integrating multiple precipitation, evapotranspiration, and GRACE-Follow On (GRAFO) terrestrial water storage anomaly (TWSA) datasets, this study uses the water balance principle coupled with the CaMa-Flood hydrodynamic model to access the spatiotemporal discharge variations in the Yangtze River basin during the 2020 catastrophic flood. The results show that: (1) TWSA bias dominates the overall uncertainty in runoff at the basin scale, which is spatially governed by uncertainty in TWSA and precipitation; (2) spatially, a field significance at the 5% level is discovered for the correlations between GRAFO-based runoff and GLDAS results. The GRAFO-derived discharge series has a high correlation coefficient with either in situ observations and hydrological simulations for the Yangtze River basin, at the 0.01 significance level; (3) the GRAFO-derived discharge observes the flood peaks in July and August and the recession process in October 2020. Our developed approach provides an alternative way of monitoring large-scale extreme hydrological events with the latest GRAFO release and CaMa-Flood model.

scholarly journals Rainfall characteristics and their implications for rain-fed agriculture: a case study in the Upper Zambezi River Basin

2015 ◽  
Vol 61 (2) ◽  
pp. 321-343 ◽  
Author(s):  
M. Beyer ◽  
M. Wallner ◽  
L. Bahlmann ◽  
V. Thiemig ◽  
J. Dietrich ◽  
...  
Keyword(s):  
River Basin ◽  
Rainfall Characteristics ◽  
Zambezi River Basin ◽  
Zambezi River

scholarly journals The MGB-IPH model for large-scale rainfall—runoff modelling

2007 ◽  
Vol 52 (5) ◽  
pp. 878-895 ◽  
Author(s):  
WALTER COLLISCHONN ◽  
DANIEL ALLASIA ◽  
BENEDITO C. DA SILVA ◽  
CARLOS E. M. TUCCI
Keyword(s):  
Large Scale ◽  
Rainfall Runoff

scholarly journals Identification of the Impacts of Climate Changes and Human Activities on Runoff in the Jinsha River Basin, China

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Xiaowan Liu ◽  
Dingzhi Peng ◽  
Zongxue Xu
Keyword(s):  
Water Balance ◽  
River Basin ◽  
Human Activities ◽  
Climate Changes ◽  
Balance Method ◽  
Variation Method ◽  
Rainfall Runoff ◽  
Jinsha River ◽  
Water Balance Method ◽  
Double Mass

Quantifying the impacts of climate changes and human activities on runoff has received extensive attention, especially for the regions with significant elevation difference. The contributions of climate changes and human activities to runoff were analyzed using rainfall-runoff relationship, double mass curve, slope variation, and water balance method during 1961–2010 at the Jinsha River basin, China. Results indicate that runoff at upstream and runoff at midstream are both dominated by climate changes, and the contributions of climate changes to runoff are 63%~72% and 53%~68%, respectively. At downstream, climate changes account for only 13%~18%, and runoff is mainly controlled by human activities, contributing 82%~87%. The availability and stability of results were compared and analyzed in the four methods. Results in slope variation, double mass curve, and water balance method except rainfall-runoff relationship method are of good agreement. And the rainfall-runoff relationship, double mass curve, and slope variation method are all of great stability. The four methods and availability evaluation of them could provide a reference to quantification in the contributions of climate changes and human activities to runoff at similar basins in the future.

Spatial and temporal characteristics of stable isotopes in the Tarim River Basin

2016 ◽  
Vol 52 (3) ◽  
pp. 281-297 ◽  
Author(s):  
Congjian Sun ◽  
Xingong Li ◽  
Yaning Chen ◽  
Weihong Li ◽  
Randy L. Stotler ◽  
...  
Keyword(s):  
Stable Isotopes ◽  
River Basin ◽  
Tarim River ◽  
Tarim River Basin ◽  
Temporal Characteristics ◽  
The Tarim River ◽  
The Tarim River Basin ◽  
Spatial And Temporal Characteristics
Sign in / Sign up

Export Citation Format

Share Document