The influence of the coastal plain on the downstream material fluxes from a small coastal mountainous river basin

2020 ◽  
Author(s):  
Mauricio Mussi Molisani ◽  
Anandra Machado ◽  
Roberto Nascimento Farias ◽  
Michael Douglas Peçanha Souza ◽  
Paula Sigilião Isacksson ◽  
...  
Keyword(s):  
River Basin ◽  
Coastal Plain ◽  
Mountainous River ◽  
Material Fluxes

scholarly journals Application of SWAT in Hydrological Simulation of Complex Mountainous River Basin (Part II: Climate Change Impact Assessment)

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1548
Author(s):  
Suresh Marahatta ◽  
Deepak Aryal ◽  
Laxmi Prasad Devkota ◽  
Utsav Bhattarai ◽  
Dibesh Shrestha
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Climate Models ◽  
Assessment Tool ◽  
Swat Model ◽  
Global Climate Models ◽  
Climate Data ◽  
The Future ◽  
The Impact ◽  
Mountainous River

This study aims at analysing the impact of climate change (CC) on the river hydrology of a complex mountainous river basin—the Budhigandaki River Basin (BRB)—using the Soil and Water Assessment Tool (SWAT) hydrological model that was calibrated and validated in Part I of this research. A relatively new approach of selecting global climate models (GCMs) for each of the two selected RCPs, 4.5 (stabilization scenario) and 8.5 (high emission scenario), representing four extreme cases (warm-wet, cold-wet, warm-dry, and cold-dry conditions), was applied. Future climate data was bias corrected using a quantile mapping method. The bias-corrected GCM data were forced into the SWAT model one at a time to simulate the future flows of BRB for three 30-year time windows: Immediate Future (2021–2050), Mid Future (2046–2075), and Far Future (2070–2099). The projected flows were compared with the corresponding monthly, seasonal, annual, and fractional differences of extreme flows of the simulated baseline period (1983–2012). The results showed that future long-term average annual flows are expected to increase in all climatic conditions for both RCPs compared to the baseline. The range of predicted changes in future monthly, seasonal, and annual flows shows high uncertainty. The comparative frequency analysis of the annual one-day-maximum and -minimum flows shows increased high flows and decreased low flows in the future. These results imply the necessity for design modifications in hydraulic structures as well as the preference of storage over run-of-river water resources development projects in the study basin from the perspective of climate resilience.

scholarly journals Quantitative evaluation of the rainfall influence on streamflow in an inland mountainous river basin within Central Asia

2017 ◽  
Vol 63 (1) ◽  
pp. 17-30 ◽  
Author(s):  
Congjian Sun ◽  
Yanjun Shen ◽  
Yaning Chen ◽  
Wei Chen ◽  
Weibo Liu ◽  
...  
Keyword(s):  
Central Asia ◽  
River Basin ◽  
Quantitative Evaluation ◽  
Mountainous River

scholarly journals Distribution of organic carbon and lignin in soils in a subtropical small mountainous river basin

Geoderma ◽  
2017 ◽  
Vol 306 ◽  
pp. 81-88 ◽  
Author(s):  
Hongyan Bao ◽  
Shuh-Ji Kao ◽  
Tsung-Yu Lee ◽  
Franz Zehetner ◽  
Jr-Chuan Huang ◽  
...  
Keyword(s):  
Organic Carbon ◽  
River Basin ◽  
Mountainous River

scholarly journals River discharge prediction for ungauged mountainous river basins during heavy rain events based on seismic noise data

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Shakti P.C. ◽  
Kaoru Sawazaki
Keyword(s):  
River Basin ◽  
Seismic Noise ◽  
River Discharge ◽  
Heavy Rain ◽  
River Basins ◽  
Peak Discharge ◽  
Discharge Data ◽  
Noise Data ◽  
Rain Events ◽  
Mountainous River

AbstractSeveral mountainous river basins in Japan do not have a consistent hydrological record due to their complex environment and remoteness, as discharge measurements are not economically feasible. However, understanding the flow rate of rivers during extreme events is essential for preventing flood disasters around river basins. In this study, we used the high-sensitivity seismograph network (Hi-net) of Japan to identify the time and peak discharge of heavy rain events. Hi-net seismograph stations are distributed almost uniformly at distance intervals of approximately 20 km, while being available even in mountainous regions. The Mogami River Basin in Northeastern Japan was selected as a target area to compare the seismic noise data of two Hi-net stations with the hydrological response of a nearby river. These stations are not located near hydrological stations; therefore, direct comparison of seismic noise and observed discharge was not possible. Therefore, discharge data simulated using a hydrological model were first validated with gauging station data for two previous rain events (10–23 July 2004 and 7–16 September 2015). Then, the simulated river discharge was compared with Hi-net seismic noise data for three recent events (10–23 July 2004, 7–16 September 2015, and 10–15 October 2019). The seismic noise data exhibited a similar trend to the time series of simulated discharge in a frequency range of 1–2 Hz for the selected events. Discharge values predicted from the noise data effectively replicate the simulated discharge values in many cases, especially the timing and amount of peak discharge.Simulated and predicted discharge near NIED Hi-net seismic stations in the Mogami River Basin for the event of October 2019 (Typhoon Hagibis).

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