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Establishing resilience-targeted prediction models of rainfall for transportation infrastructures for three demonstration regions in China – Scientific Reports

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  • Zhang, Z. L., Kong, X. B. & Zhang, Q. P. Spatial distribution characteristics of arable land grade in Beijing–Tianjin–Hebei–Shandong region. J. Agric. Eng. 34(S1), 230–237. https://doi.org/10.11975/j.issn.1002-6819.2018.z.034 (2018).

    Article 
    CAS 

    Google Scholar
     

  • Wang, J.H. et al. Spatialization of disaster-affected body-based study on risk assessment of high temperature disaster: A case of Yangtze River Delta in China. Water Conserv. Hydropower Technol. (in English and Chinese) 53(09), 1–12 https://doi.org/10.13928/j.cnki.wrahe.2022.09.001 (2022).

  • Wang, W., Liu, Y.J. & Chen, G. Spatial distribution characteristics and its influencing factors of traditional villages in Yangtze River Delta Region. Indus. Build. 1–15. http://kns.cnki.net/kcms/detail/11.2068.tu.20230418.1130.002.html (2023). Accessed 1 Sep 2023.

  • Xu, B., Mao, X. F., Li, Y. F., Xie, X. J. & Bao, W. Spatial-temporal variation of drought in Sichuan and Chongqing from 1450 to 1949. Geoscience. 42(04), 720–729. https://doi.org/10.13249/j.cnki.sgs.2022.04.017 (2022).

    Article 

    Google Scholar
     

  • Mei, G. Q. Research on high quality development of transportation infrastructure. Globalization. 07, 92–105+135. https://doi.org/10.16845/j.cnki.ccieeqqh.2019.07.009 (2019).

    Article 

    Google Scholar
     

  • Chen, D. et al. Research on the construction of a regional rainstorm disaster warning and risk assessment system in Sichuan. In The 32nd Annual Meeting of the Chinese Meteorological Society S7 Research on the Latest Theoretical Methods and Applications of Hydrometeorological Forecasting. Vol. 2015. 208–209 (2015).

  • Ji, X. Dynamic Traffic Characteristics and Traffic Assignment Method on Urban Road Under Rainstorm Weather. (Beijing Jiaotong University, 2021)

  • Bi, L.M. Beijing Mentougou Flash Floods, a Large Number of Cars Washed Away, a Railroad Bridge Washed Away! Train Stranded for Over 26 Hours, Crew Chokes Up to Calm Passengers. https://www.toutiao.com/article/7261863814046679591/?app=news_article& timestamp=1690793796&use_new_style=1&req_id=202307311656355E28ECF994369211E08E&group_id=7261863814046679591&wxshare_count=1&tt_from=weixin&utm_source=weixin&utm_medium=toutiao_android&utm_campaign=client_share&share_token=98bdf4e9-7f9f-43af-a48b-d3b9e17c1b2c&source=m_redirect&wid=1690856602665 (2023).

  • Wang, S.D. Beijing’s Round of Heavy Rainfall has Killed 11 People and Left 27 Missing. https://baijiahao.baidu.com/s?id=17729 (2023).

  • Wang, Y. L. Everyone at the Scene Stood Up and Observed Silence. Beijing Informed the Details of the Flood: 33 dead, 18 Missing, Post-Disaster Reconstruction “One Year of Basic Recovery, Three Years of Comprehensive Enhancement“. https://baijiahao.baidu.com/s?id=1773723288984426733&wfr=spider&for=pc (2023).

  • Sun, R.L. Study on Flood Disaster Risk and Resilience Assessment in Yangtze River Delta. (Nanjing University of Information Engineering, 2022).

  • You, Y., Chen, X. C. & Liu, J. F. “8·13” extra large debris flow disaster in Wenjia Gully of Qingping township, Mianzhu, Sichuan Province. Disaster Sci. 26(04), 68–72 (2011).


    Google Scholar
     

  • Zheng, L.K. D2809 Passenger Train Hit a Mudslide Offline at Rongjiang Station in Guizhou Province. https://news.china.com/social/1007/20220605/42473354.html (2022).

  • Gao, S. et al. A case analysis of rainstorm in Sichuan–Chongqing region under the influence of southwest vortex. Arid Weather 37(04), 597–612. https://doi.org/10.11755/j.issn.1006-7639(2019)-04-0597 (2019).

  • Wang, H. et al. The formation of an unusual two-belt heavy rainfall around Beijing–Tianjin–Hebei area. Plateau Meteorol. 38(04), 856–871. https://doi.org/10.7522/j.issn.1000-0534.2018.00102 (2018).

    Article 

    Google Scholar
     

  • Yu, J., Gao, S., Zhang, L., Shen, X. Y. & Guo, L. Y. Analysis of a remote rainstorm in the Yangtze River delta region caused by typhoon Mangkhut (2018). J. Mar. Sci. Eng. 8(5), 345. https://doi.org/10.3390/jmse8050345 (2020).

    Article 

    Google Scholar
     

  • Yan, C.X., Zeng, B., Dong, Y.C., Tie, Y.B. & Fan, Y.Y. Analysis on spatial-temporal variation characteristics of heavy rain over western China. J. Southwest Normal Univ. (Nat. Sci. Ed.) 48(08), 71–82. https://doi.org/10.13718/j.cnki.xsxb.2023.08.009 (2023).

  • Xue, Y.T., Li, X.H., Wang, L. & Xu, B. Spatial and temporal change characteristics of different grades of precipitation in summer in Southwestern China from 1976 to 2017. J. Southwest Univ. (Nat. Sci. Ed.). 44(02), 137–145 https://doi.org/10.13718/j.cnki.xdzk.2022.02.016 (2022).

  • Liu, Y., Liao, J. & Zhao, Y. Spatial and temporal characteristics of rainstorm events in Southwest China from 1961 to 2021. Atmosphere. 14(7), 1134. https://doi.org/10.3390/atmos14071134 (2023).

    Article 
    ADS 

    Google Scholar
     

  • Zhou, J., Zhao, J.H., Li, Y.H. & Zhou, K.K. Objective identification and variation characteristics of regional heavy rainfall events in the east of southwestern China. Plateau Meteorol. 40(04), 789–800. https://doi.org/10.7522/j.issn.1000-0534.2020.00048 (2021).

  • Han, G. M. & Zhai, P. M. Study on characteristics of climatic variations of the rainstorm in Beijing–Tianjin–Hebei region during 1961–2008. Desert Oasis Meteorol. 9(04), 25–31. https://doi.org/10.3969/j.issn.1002-0799.2015.04.004 (2015).

    Article 

    Google Scholar
     

  • Liu, J.P., Xing, L., Han, J.C. & Xu, Q.H. Temporal-spatial variation characteristics of torrential rainy days in Beijing–Tianjin–Hebei region from 1961 to 2012. Meteorol. Sci. Technol. 43(03), 497–502. https://doi.org/10.19517/j.1671-6345.2015.03.026 (2015).

  • Tan, C., Kong, F., Guo, J., Lv, L.L. & Sun, S. Spatial and temporal patterns of heavy rainfall in different urbanized areas of China from 1961 to 2014: Taking Beijing–Tianjin–Hebei, Yangtze River Delta and Pearl River Delta as an example. Disaster Sci. 33(03), 132–140. https://doi.org/10.3969/j.issn.1000-811X.2018.03.025 (2018).

  • Gao, X.Y., Zhao, J.H., Zhou, J., Qian, Z.H. & Feng, G.L. Objective identification and variation characteristics of regional heavy rainfall events in the middle and lower reaches of the Yangtze River from 1961 to 2018. Adv. Clim. Change Res. 17(03), 329–339 https://doi.org/10.12006/j.issn.1673-1719.2020.090 (2021).

  • Zhang, Y. X. & Hu, Z. H. Variation characteristics of rainstorms in middle-lower reaches of the Yangtze River in recent 60 years. Clim. Environ. Res. 24(06), 755–768. https://doi.org/10.3878/j.issn.1006-9585.2019.19075 (2019).

    Article 
    ADS 

    Google Scholar
     

  • Zhou, J., Zhai, L. Y. & Gao, H. Analysis on the inter-decadal variation features of rainstorms with different magnitudes over the middle and lower reaches of Yangtze River in recent 50 years. Meteorol. Sci. 38(06), 780–789. https://doi.org/10.3969/2018jms.0054 (2018).

    Article 

    Google Scholar
     

  • Wang, X. Y., Liao, L. F. & Wang, J. J. A forecast model for flash heavy rainfall in southwestern Yunnan province based on a multiple linear regression method. J. Meteorol. Environ. 35(02), 15–22. https://doi.org/10.3969/j.issn.1673-503X.2019.02.003 (2019).

    Article 

    Google Scholar
     

  • Gocic, M. et al. Long-term precipitation analysis and estimation of precipitation concentration index using three support vector machine methods. Adv. Meteorol. https://doi.org/10.1155/2016/7912357 (2016).

    Article 

    Google Scholar
     

  • He, X. G., Guan, H. D., Zhang, X. P. & Simmons, C. T. A wavelet-based multiple linear regression model for forecasting monthly rainfall. Int. J. Climatol. 34(6), 1898–1912 (2014).

    Article 

    Google Scholar
     

  • Chandniha, S. K. & Kansal, M. L. Rainfall estimation using multiple linear regression based statistical downscaling for Piperiya watershed in Chhattisgarh. J. Agrometeorol. 18(1), 106–112 (2016).

    Article 

    Google Scholar
     

  • Cui, J. L. & Deng, S. J. Based on Markov to prediction of precipitation and utilization. Resour. Dev. Market. 02, 115–117 (2008).


    Google Scholar
     

  • Li, W. H., Liu, B. & Li, C. Y. An application of grey system in runoff rainfall forecasting. Water Conserv. Sci. Technol. Econ. (01), 11–12+19 (2000).

  • Yan, S. J., Wang, Z. S. & Tang, L. A brief discussion on the prediction of future precipitation in the Zihe River Basin using frequency spectrum analysis. Ground Water 31(04), 153–154 (2009).


    Google Scholar
     

  • Sun, C. Z., Zhang, G. & Lin, X. Y. Model of Markov chain with weights and its application in predicting the precipitation state. Syst. Eng. Theory Pract. 04, 100–105 (2003).


    Google Scholar
     

  • Feng, L. H. On application of grey clustering analysis in forecast of precipitation tendency. Geogr. Res. Dev. 01, 10–13. https://doi.org/10.3969/j.issn.1003-2363.2003.01.003 (2003).

    Article 

    Google Scholar
     

  • Li, P., Lu, W.X. & Wang, F.L. Application of frequency spectrum analysis in forecasting annual precipitation in Naolihe River Basin. Hydrology. (04), 25–27+30 https://doi.org/10.3969/j.issn.1000-0852.2007.04.006 (2007).

  • Chattopadhyay, S. & Chattopadhyay, G. Identification of the best-hidden layer size for three-layered neural net in predicting monsoon rainfall in India. J. Hydroinform. 10(2), 181–188. https://doi.org/10.2166/hydro.2008.017 (2008).

    Article 

    Google Scholar
     

  • Ramirez, M.C.V., de Campos Velho, H.F. & Ferreira, N.J. Artificial neural network technique for rainfall forecasting applied to the Sao Paulo region. J. Hydrol. 301(1–4), 146–162 https://doi.org/10.1016/j.jhydrol.2004.06.028 (2005).

  • Gou, Z. J., Ren, J. L., Xu, M. & Wang, M. Application of GA-BP algorithm based on Hadoop in precipitation forecast. Comput. Syst. Appl. 28(09), 140–146. https://doi.org/10.15888/j.cnki.csa.007056 (2019).

    Article 

    Google Scholar
     

  • Liu, Y., Zhao, Q. Z. & Yao, W. Q. Rainfall forecast based on multi-hidden layers neural network and GNSS-PWV. Bull. Surv. Mapp. S1, 36–40. https://doi.org/10.13474/j.cnki.11-2246.2019.0508 (2019).

    Article 

    Google Scholar
     

  • Lei, H.Y. Experimental study on influencing factors of initial gas emission velocity based on multiple linear regression. Coal Mine Saf. 53(02), 9–15 https://doi.org/10.13347/j.cnki.mkaq.2022.02.002 (2022).

  • Tian, P. Stochastic Simulation of Ground Motions Based on NGA-WEST2 Strong Motion Records. (Southwest Jiaotong University, 2021).

  • Standardization Administration of the People’s Republic of China, General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China. Precipitation Grade: GB/T28592-2012. 3–4 (Beijing: Standards Press of China, 2012).

  • Standardization Administration of the People’s Republic of China, General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China. Standard for Hydrological Information and Hydrological Forecasting: GB/T22482-2008. (Standards Press of China, 2008).

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