التفاصيل البيبلوغرافية
العنوان: |
Operational forecasting inundation extents using REOF analysis (FIER) over lower Mekong and its potential economic impact on agriculture. |
المؤلفون: |
Chang, Chi-Hung1 (AUTHOR) cchang37@cougarnet.uh.edu, Lee, Hyongki1 (AUTHOR) hlee45@central.uh.edu, Do, Son K.1 (AUTHOR) skdo3@cougarnet.uh.edu, Du, Tien L.T.1 (AUTHOR) ldu10@cougarnet.uh.edu, Markert, Kel2 (AUTHOR) kel.markert@gmail.com, Hossain, Faisal3 (AUTHOR) fhossain@uw.edu, Ahmad, Shahryar Khalique4 (AUTHOR) shahryarkhalique.ahmad@nasa.gov, Piman, Thanapon5,6,7 (AUTHOR) thanapon.piman@sei.org, Meechaiya, Chinaporn8 (AUTHOR) chinaporn.m@adpc.net, Bui, Duong D.9 (AUTHOR) duongdubui@gmail.com, Bolten, John D.4 (AUTHOR) john.bolten@nasa.gov, Hwang, Euiho10 (AUTHOR) ehhwang@kwater.or.kr, Jung, Hahn Chul11,12 (AUTHOR) hahnchul.jung@kiost.ac.kr |
المصدر: |
Environmental Modelling & Software. Apr2023, Vol. 162, pN.PAG-N.PAG. 1p. |
مصطلحات موضوعية: |
*ECONOMIC forecasting, *FLOOD damage, *FLOODS, *ECONOMIC impact, *ORTHOGONAL functions, *AGRICULTURAL forecasts |
مستخلص: |
In the Lower Mekong River Basin floodplains, rice cultivation is highly crucial for regional and global food security. However, prolonged flooding can pose damage to rice cultivation and other socio-economic aspects. Yet, there is no rapid operational inundation forecasting system that can help decision-makers proactively mitigate flood damages. Here, we integrated the so-called Forecasting Inundation Extents using Rotated empirical orthogonal function analysis (FIER) framework with an altimetry-based operational Mekong River level forecasting system and built an operational web application, FIER-Mekong, (https://fier-mekong.streamlit.app/) that generates daily skillful forecasted inundation extents (>70% of critical success index) and depths in about 3 and 30 s, respectively, with up to 18-day lead times. One of its applications, predicting flood-induced rice economic losses, is also presented. Had FIER-Mekong being adopted, we estimated that the rice damages, up to 87 and 53 million US dollars during the 2020 and 2021 harvest time, respectively, could have been avoided. • A new operational inundation forecasting system for Lower Mekong is implemented. • It forecasts daily inundation extents in 3 s with up to 18-day lead times. • It forecasts daily inundation depths in 30 s with up to 18-day lead times. • It allows spatio-temporal rice economic loss prediction on a daily basis. • If used, it could have saved 87 and 53 million USD of rice losses in 2020 and 2021. [ABSTRACT FROM AUTHOR] |
قاعدة البيانات: |
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