Developing an integrated multiscale rainfall-runoff and inundation model: Application to an extreme rainfall event in Marikina-Pasig River Basin, Philippines

Temporal changes and spatial patterns are often studied by analyzing land-cover changes (LCCs) using spaceborne images. LCC is an important factor, affecting runoff within watersheds. The objective was to estimate the effects of 20 years of LCCs on rainfall-runoff relations in an extreme rainfall event. A 1989 Landsat TM-derived classification map was used as input for a Kinematic Runoff and Erosion (KINEROS) hydrological model along with the precipitation data of an extreme rainfall event. Model calibration was performed using measured runoff volume data. Validation of the model performance was conducted by comparing the model results to measured data. A similar procedure was used with a 2009 land-cover classification map as an input to the KINEROS model, along with similar precipitation data and calibration parameters, in order to understand the possible outcomes of a rainfall event of such a magnitude and duration after 20 years of LCCs. The results show an increase in runoff volume and peak discharge between the time periods as a result of LCCs. A strong relationship was detected between vegetation cover and the runoff volume. The LCCs with most pronounced effects on runoff volumes were related to urbanization and vegetation removal.

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Effect of rainfall gradient and vegetation restoration on gully initiation under a large-scale extreme rainfall event on the hilly Loess Plateau: A case study from the Wuding River basin, China

The Science of The Total Environment ◽

10.1016/j.scitotenv.2020.140066 ◽

2020 ◽

Vol 739 ◽

pp. 140066 ◽

Cited By ~ 1

Author(s):

Mutian Yuan ◽

Yan Zhang ◽

Yiyang Zhao ◽

Jiayong Deng

Keyword(s):

River Basin ◽

Loess Plateau ◽

Large Scale ◽

Extreme Rainfall ◽

Rainfall Event ◽

Extreme Rainfall Event ◽

Rainfall Gradient ◽

Hilly Loess Plateau ◽

The Wuding River

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Hydrological Simulation of Small River Basins in Northern Kyushu, Japan, During the Extreme Rainfall Event of July 5–6, 2017

Journal of Disaster Research ◽

10.20965/jdr.2018.p0396 ◽

2018 ◽

Vol 13 (2) ◽

pp. 396-409 ◽

Cited By ~ 9

Author(s):

Shakti P. C. ◽

◽

Tsuyoshi Nakatani ◽

Ryohei Misumi

Keyword(s):

River Basin ◽

Extreme Rainfall ◽

Heavy Rain ◽

River Basins ◽

Rainfall Event ◽

Distributed Model ◽

Heavy Rainfall Event ◽

Extreme Rainfall Event ◽

Hydrological Simulation ◽

Mountainous River

Extreme rainfall and associated flooding are common during the summer in Japan. Heavy rain caused extensive damage in many parts of Kyushu, Japan, on July 5–6, 2017. Many small mountainous river basins were subject to the core of this heavy rainfall event and were flooded, but no hydrological measurements were taken in most of these flooded basins during the event. There are few gauging stations in this mountainous region, and most that do exist are designed to monitor the larger watersheds. Consequently, it is difficult to determine the hydrological properties of the small subbasins within these larger watersheds. Therefore, to improve our understanding of the basic hydrological processes that affect small ungauged mountain river basins during periods of intense rainfall, a quasi-distributed model (i.e. the Hydrologic Engineering Center-Hydrologic Modeling System, HEC-HMS) was used in this study. The Hikosan (area: 65 km2) and Akatani (area: 21 km2) mountainous river basins were selected for the hydrological simulations. The model was validated using the Hikosan River basin because observational data are available from the outlet of this basin. However, there is no record of any hydrological observations for the Akatani River basin. Therefore, reference parameters from the Hikosan River basin were used for hydrological analysis of the Akatani River basin. This was possible because the basins are close to one another and have similar physiographic and topographic properties. The simulations of both basins, and the associated uncertainties, are discussed in detail in this paper. Based on the hydrological simulations, an attempt was made to analyze the maximum flood discharge caused by the event. The results generated using this approach to hydrological simulations in small ungauged basins could contribute to the management of water resources in these and other river basins during future extreme rain events.

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A STUDY OF THE PARAMETERS AFFECTING THE PERFORMANCE OF ROADS UNDER AN EXTREME RAINFALL EVENT

International Journal of Geomate ◽

10.21660/2014.13.3131 ◽

2014 ◽

Author(s):

Helen Fairweather

Keyword(s):

Extreme Rainfall ◽

Rainfall Event ◽

Extreme Rainfall Event

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Impact of the Assimilation of INSAT-3D Sounder Retrieved Temperature and Humidity Profiles on Extreme Rainfall Event Forecast

Journal of the Indian Society of Remote Sensing ◽

10.1007/s12524-021-01369-8 ◽

2021 ◽

Author(s):

Hiren Satishkumar Lekhadiya ◽

Ranjan Kumar Jana

Keyword(s):

Extreme Rainfall ◽

Rainfall Event ◽

Extreme Rainfall Event ◽

Temperature And Humidity ◽

Humidity Profiles

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Extreme rainfall impacts on soil CO2 efflux in an urban forest ecosystem in Beijing, China

Canadian Journal of Soil Science ◽

10.1139/cjss-2016-0030 ◽

2016 ◽

Vol 96 (4) ◽

pp. 504-514 ◽

Cited By ~ 2

Author(s):

Wenjing Chen ◽

Xin Jia ◽

Chunyi Li ◽

Haiqun Yu ◽

Jing Xie ◽

...

Keyword(s):

Soil Respiration ◽

Forest Ecosystem ◽

Urban Forest ◽

Extreme Rainfall ◽

Rainfall Event ◽

Extreme Rainfall Event ◽

Co2 Efflux ◽

Abrupt Decrease ◽

Environmental Controls ◽

Beijing China

Extreme rainfall events are infrequent disturbances that affect urban environments and soil respiration (Rs). Using data measured in an urban forest ecosystem in Beijing, China, we examined the link between gross primary production (GPP) and soil respiration on a diurnal scale during an extreme rainfall event (i.e., the “21 July 2012 event”), and we examined diel and seasonal environmental controls on Rs. Over the seasonal cycle, Rs increased exponentially with soil temperature (Ts). In addition, Rs was hyperbolically related to soil volumetric water content (VWC), increasing with VWC below a threshold of 0.17 m3 m−3, and then decreasing with further increases in VWC. Following the extreme rainfall event (177 mm), Rs showed an abrupt decrease and then maintained a low value of ∼0.3 μmol m−2 s−1 for about 8 h as soil VWC reached the field capacity (0.34 m3 m−3). Rs became decoupled from Ts and increased very slowly, while GPP showed a greater increase. A bivariate Q10-hyperbolical model, which incorporates both Ts and VWC effects, better fits Rs than the Q10 model in summer but not for whole year.

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