Specifications and Accuracy of Rainfall Forecast Required for Pre-Release at Multi-Purpose Reservoirs in Japan

Author:

Fujita Hayato1ORCID,Kanae Shinjiro1

Affiliation:

1. Department of Civil and Environmental Engineering, School of Environment and Society, Tokyo Institute of Technology, Tokyo 152-8550, Japan

Abstract

Pre-release is the discharge from a reservoir before a flood to enhance flood control capability. Its success depends on the performance of rainfall forecasting. However, there is little information regarding the causal relationship between its performance and the success of pre-release. Therefore, the rainfall forecast required for pre-release at 326 multi-purpose reservoirs in Japan is shown quantitatively in this paper. In our analysis, pre-release was simulated based on tentative rainfall forecasts made using observed rainfall data from a period of 17 years (2006 to 2022) with some processing. Then, outputs were evaluated in terms of two risks: not avoiding emergency spillway gate operation and no recovery of water use capacity. The results of five elements were reached: (1) the characteristics of situations requiring pre-release, the required (2) forecast length and (3) spatial resolution, the required accuracy of (4) the rainfall amount, and (5) the position of rainfall zone. For (1), pre-release is required nationwide in typhoons or stationary fronts at a frequency of four instances per year. For (2) and (3), assuming perfect accuracy, the current specifications of rainfall forecast in Japan: forecast length of 84 h or more and the combined use of 5 km and 20 km spatial resolution are generally effective in themselves. For (4) and (5), possible uncertainties in the rainfall amount and the position of rainfall zone needs to be decreased by one digit for avoiding emergency spillway gate operations, while excessive pre-release tends not to result in no recovery of water use capacity.

Funder

JSPS KAKENHI

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Reference29 articles.

1. Intergovernmental Panel on Climate Change (2023, February 07). Climate Change 2021: The Physical Science Basis. Available online: https://www.ipcc.ch/report/ar6/wg1/.

2. Forecast Informed Reservoir Operations Using Ensemble Streamflow Predictions for a Multipurpose Reservoir in Northern California;Delaney;Water Resour. Res.,2020

3. Kompor, W., Yoshikawa, S., and Kanae, S. (2020). Use of Seasonal Streamflow Forecasts for Flood Mitigation with Adaptive Reservoir Operation: A Case Study of the Chao Phraya River Basin, Thailand, in 2011. Water, 12.

4. Ministry of Land, Infrastructure, Transport and Tourism, Water and Disaster Management Bureau (2023, February 07). Guidelines for Reservoirs’ Pre-Release. Available online: https://www.mlit.go.jp/river/shishin_guideline/dam/pdf4/02jizenhouryu_guideline_honbun.pdf.

5. Japan Meteorological Agency (2023, February 07). Numerical Weather Prediction Activities. Available online: https://www.jma.go.jp/jma/en/Activities/nwp.html.

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