TY - JOUR
T1 - A spatiotemporal estimation method for hourly rainfall based on F-SVD in the recommender system
AU - Chen, Hua
AU - Sheng, Sheng
AU - Xu, Chong Yu
AU - Li, Zhiyu
AU - Zhang, Wen
AU - Wang, Shaowen
AU - Guo, Shenglian
N1 - Publisher Copyright:
© 2021 The Authors
PY - 2021/10
Y1 - 2021/10
N2 - In this study, a spatiotemporal estimation method based on Funk singular value decomposition (F-SVD) that considers the spatiotemporal correlation of rainfall is proposed to improve estimations from gauge observations. Hourly rainfall data of several flood events are selected to verify the proposed method by comparing with Inverse Distance Weighting (IDW) and Ordinary Kriging (OK) in Hanjiang basin, China. The results show that (1) F-SVD has the best performance in rainfall estimation, the larger the amount of rainfall event, the greater the improvement of F-SVD method as compared to OK and IDW; (2) through the combination/integration with F-SVD, the accuracy of IDW and OK can be greatly improved. Therefore, F-SVD can be employed as a practical method to estimate rainfall spatial distribution, which is essential data for regional hydrological modelling and water resource analysis.
AB - In this study, a spatiotemporal estimation method based on Funk singular value decomposition (F-SVD) that considers the spatiotemporal correlation of rainfall is proposed to improve estimations from gauge observations. Hourly rainfall data of several flood events are selected to verify the proposed method by comparing with Inverse Distance Weighting (IDW) and Ordinary Kriging (OK) in Hanjiang basin, China. The results show that (1) F-SVD has the best performance in rainfall estimation, the larger the amount of rainfall event, the greater the improvement of F-SVD method as compared to OK and IDW; (2) through the combination/integration with F-SVD, the accuracy of IDW and OK can be greatly improved. Therefore, F-SVD can be employed as a practical method to estimate rainfall spatial distribution, which is essential data for regional hydrological modelling and water resource analysis.
KW - Matrix factorization
KW - Rainfall estimation
KW - Recommendation system
KW - Singular value decomposition
KW - Spatiotemporal interpolation
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U2 - 10.1016/j.envsoft.2021.105148
DO - 10.1016/j.envsoft.2021.105148
M3 - Article
AN - SCOPUS:85111661543
SN - 1364-8152
VL - 144
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
M1 - 105148
ER -