Physically Based Distributed Flood Runoff Model for an Urban Catchment Using Polygon Feature Gis Data

Amaguchi, Hideo; Kawamura, Akira; Takasaki, Tadakatsu

doi:10.2208/jscejb.63.206

Cited by 4 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As described above for total rainfall ratio at each observation site, the total rainfall ratio of basin averaged rainfall become closer to 1.0 as total rainfall volume become large (such as events No. 1,No.4,No.6,and No.8). Excluding the rainfall event No.10 whose total rainfall amount is relatively small shown in Table 1, the average total rainfall ratio for No.1 to No.9 is 1.15, which is considered to have fair preciseness.…”

Section: Precision Evaluation By 1-minute Datamentioning

confidence: 96%

“…Looking closely the total rainfall ratio for each event, it is close to 1.0 for events No. 1,No.4,No.6,and No.8. They are all induced by typhoon or low pressure, which are characterized by long duration and large total volume of rainfall.…”

Section: Target Basin and Rainfallmentioning

confidence: 99%

“…In small urban watersheds, there exists a high risk of inundation by river flooding or inner water induced by heavy rainfall in a short period. Thus, detailed runoff analysis has been conducted with 1-minute rainfall or water level observation data [1,2]. To precisely estimate river water level by such detailed runoff analysis, it is critically important to obtain detailed rainfall data and its spatial and temporal distribution with required preciseness.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Study on the precision of 1-minute X-Band MP radar rainfall data in a small urban watershed

Yonese¹,

Kawamura²,

Amaguchi³

et al. 2018

Int. J. SDP

Self Cite

View full text Add to dashboard Cite

In Tokyo metropolitan area, the flood risk is increasing due to social and environmental conditions including concentration of population and industry etc. In small urban watersheds, there exists a high risk of inundation by river flooding and/or inner water induced by heavy rainfall in a short time. To estimate river water level accurately in urban small rivers, it is critically important to obtain accurate rainfall data with high resolution of spatio-temporal distribution. X-band MP radar (X-band multiparameter radar), providing high resolution of spatio-temporal distribution rainfall data, is expected to be made effective use of its advanced detailed data. However, few studies on the precision evaluation of 1-minute X-band MP radar data were performed. In this study, a precision evaluation of X-band MP radar data was conducted by comparing radar data to 1-minute ground observation data, which is densely deployed in Tokyo Metropolitan area, provided by Tokyo Integrated Information System on Water Disaster Management. In this study, 10 heavy rainfall events in 2013 were selected as target events in the upper Kanda River, one of the typical urban small rivers in Tokyo. As for rainfall intensity, 1-minute data of X-band MP radar expressed a better peak accuracy compared with 10-minute data. The peak values of 10-minute data were underestimated about 30% in some event. One-minute data of X-band MP radar were observed a few minutes earlier than ground observation data. The falling time of rain drops is considered as the major factor of the difference. This study showed that it is possible to obtain detailed rainfall characteristics such as precise rainfall intensity and its time of occurrence by utilizing 1-minute X-band MP radar rainfall, which are not sufficiently provided by 10-minute data and its extended resolution is anticipated to be practically useful in smaller urban watersheds.

show abstract

Section: Precision Evaluation By 1-minute Datamentioning

confidence: 96%

Section: Target Basin and Rainfallmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Study on the precision of 1-minute X-Band MP radar rainfall data in a small urban watershed

Yonese¹,

Kawamura²,

Amaguchi³

et al. 2018

Int. J. SDP

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, in general, the land use information used as watershed characteristics in grid-based models is simply the impervious area ratio and the runoff coefficient. Therefore, the ability to accurately represent the impermeable characteristics of urban watersheds in grid-based models is limited [39]. Many models use raster-type land use data generated from aerial photographs.…”

Section: Introductionmentioning

confidence: 99%

Urban Flood Runoff Modeling in Japan: Recent Developments and Future Prospects

Kawamura

Amaguchi

Olsson

et al. 2023

Water

View full text Add to dashboard Cite

Since the 20th century, Japan has experienced a period of very rapid urbanization. Cities have experienced substantial densification and expansion, resulting in gradually elevated flood risk. Urban flooding has also occurred in most large cities in Japan, particularly in Tokyo. In response to this growing problem, much effort and resources have been spent on research and development aimed at understanding, simulating, and managing urban flood risk in Japan. The objective of this review is to summarize, discuss, and share key outputs from some of the main research directions in this field, significant parts of which have been uniquely developed in Japan and only published in Japanese. After a general introduction to urban runoff modeling, in the next section, key historical works in Japan are summarized, followed by a description of the situation in Japan with respect to observations of precipitation and water level. Then, the storage function model approach is reviewed, including an extension to urban basins, as well as recent experiments with AI-based emulation in Japanese basins. Subsequently, we review the prospects of detailed hydrodynamic modeling involving high-resolution, vector-based Geographical Information System (GIS) data for the optimal description of the urban environment with applications in Tokyo. We conclude the paper with some future prospects related to urban flood risk modeling and assessment in Japan.

show abstract