IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v80y2016i2p1195-1211.html
   My bibliography  Save this article

Regionalization of precipitation and the spatiotemporal distribution of extreme precipitation in southwestern China

Author

Listed:
  • L Liu
  • Z. Xu

Abstract

Daily precipitation data from 1951 to 2010 at 33 meteorological stations in five provinces/cities, including Sichuan Province, Yunnan Province, the Guangxi Zhuang Autonomous Region, Guizhou Province and Chongqing City, are used to partition the study area based on precipitation and analyze the spatiotemporal distribution of extreme precipitation. The rotated empirical orthogonal function (REOF) analysis method is used to divide the study area into five parts according to precipitation. The precipitation exhibited greater fluctuations in the last two decades. This finding indicates that extreme precipitation events are increasing. The frequent occurrence of extreme precipitation has made drought and flood disasters more serious. The Mann–Kendall test (M–K test) and moving t test methods are used to analyze the jump and monotonic trends of extreme precipitation indices. It is determined that extreme precipitation indices, including Rx1d, Rx5d, R95p, R99p, CWD and R10 mm, exhibited a weak upward trend during the past 60 years, suggesting that the precipitation amount in the study area decreased slightly, but the maximum daily precipitation amount (Rx1d) and the extremely wet day precipitation (R99p) increased. This finding indicates that precipitation is more concentrated and the extreme precipitation is more serious. The jump for most of the extreme precipitation indices occurred in the 1990s. In terms of spatial scale, extreme precipitation indices, except CDD and CWD, exhibited an increasing trend from the northwest to the southeast. The regions with especially high or low values are easy to identify. Drought risk in northwest Sichuan and the junction of Sichuan and Yunnan is higher. Guangxi Zhuang Autonomous Region and southern part of Yunnan Province have a higher flood risk. The trends of nine extreme precipitation indices also demonstrated the spatial differences. There are more stations exhibiting upward trends than stations showing downward trends for six extreme precipitation indices. The risk of drought/flood may increase in Yunnan and Guangxi, and the storm flood risk in Chongqing exhibited an increasing trend. Copyright Springer Science+Business Media Dordrecht 2016

Suggested Citation

  • L Liu & Z. Xu, 2016. "Regionalization of precipitation and the spatiotemporal distribution of extreme precipitation in southwestern China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 1195-1211, January.
    • Handle: RePEc:spr:nathaz:v:80:y:2016:i:2:p:1195-1211
    DOI: 10.1007/s11069-015-2018-x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-015-2018-x
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11069-015-2018-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jeanne Thibeault & Anji Seth, 2014. "Changing climate extremes in the Northeast United States: observations and projections from CMIP5," Climatic Change, Springer, vol. 127(2), pages 273-287, November.
    2. Seung-Ki Min & Xuebin Zhang & Francis W. Zwiers & Gabriele C. Hegerl, 2011. "Human contribution to more-intense precipitation extremes," Nature, Nature, vol. 470(7334), pages 378-381, February.
    3. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 23(3), pages 187-200, September.
    4. A. Manhique & C. Reason & B. Silinto & J. Zucula & I. Raiva & F. Congolo & A. Mavume, 2015. "Extreme rainfall and floods in southern Africa in January 2013 and associated circulation patterns," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 679-691, June.
    5. Xingcai Liu & Zongxue Xu & Ruihong Yu, 2011. "Trend of climate variability in China during the past decades," Climatic Change, Springer, vol. 109(3), pages 503-516, December.
    6. Richarde Silva & Celso Santos & Madalena Moreira & João Corte-Real & Valeriano Silva & Isabella Medeiros, 2015. "Rainfall and river flow trends using Mann–Kendall and Sen’s slope estimator statistical tests in the Cobres River basin," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 1205-1221, June.
    7. Dong-dong Zhang & Deng-hua Yan & Yi-Cheng Wang & Fan Lu & Shao-hua Liu, 2015. "GAMLSS-based nonstationary modeling of extreme precipitation in Beijing–Tianjin–Hebei region of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 1037-1053, June.
    8. Hong Du & Jun Xia & Sidong Zeng, 2014. "Regional frequency analysis of extreme precipitation and its spatio-temporal characteristics in the Huai River Basin, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(1), pages 195-215, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lu Wu & Liping Feng & Yizhuo Li & Jing Wang & Lianhai Wu, 2019. "A Yield-Related Agricultural Drought Index Reveals Spatio-Temporal Characteristics of Droughts in Southwestern China," Sustainability, MDPI, vol. 11(3), pages 1-13, January.
    2. Junqiang Yao & Moyan Li & Qing Yang, 2018. "Moisture sources of a torrential rainfall event in the arid region of East Xinjiang, China, based on a Lagrangian model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(1), pages 183-195, November.
    3. Xin Wang & Xin Zhang, 2024. "Scanner: Simultaneously temporal trend and spatial cluster detection for spatial‐temporal data," Environmetrics, John Wiley & Sons, Ltd., vol. 35(5), August.
    4. Jian Fang & Feng Kong & Jiayi Fang & Lin Zhao, 2018. "Observed changes in hydrological extremes and flood disaster in Yangtze River Basin: spatial–temporal variability and climate change impacts," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(1), pages 89-107, August.
    5. Sara Hashempour Motlagh Shirazi & Davar Khalili & Shahrokh Zand-Parsa & Amin Shirvani, 2022. "Spatio-temporal variability of extreme precipitation characteristics under different climatic conditions in Fars province, Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 11348-11368, September.
    6. Gerardo Núñez-González, 2020. "Analysis of the trends in precipitation and precipitation concentration in some climatological stations of Mexico from 1960 to 2010," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1747-1761, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sara Hashempour Motlagh Shirazi & Davar Khalili & Shahrokh Zand-Parsa & Amin Shirvani, 2022. "Spatio-temporal variability of extreme precipitation characteristics under different climatic conditions in Fars province, Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 11348-11368, September.
    2. Junqiang Yao & Moyan Li & Qing Yang, 2018. "Moisture sources of a torrential rainfall event in the arid region of East Xinjiang, China, based on a Lagrangian model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(1), pages 183-195, November.
    3. Bonhomme, Stphane & Robin, Jean-Marc, 2009. "Consistent noisy independent component analysis," Journal of Econometrics, Elsevier, vol. 149(1), pages 12-25, April.
    4. Davor Kvočka & Roger A. Falconer & Michaela Bray, 2016. "Flood hazard assessment for extreme flood events," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(3), pages 1569-1599, December.
    5. Fernando Castelló-Sirvent & Pablo Pinazo-Dallenbach, 2021. "Corruption Shock in Mexico: fsQCA Analysis of Entrepreneurial Intention in University Students," Mathematics, MDPI, vol. 9(14), pages 1-31, July.
    6. Matkovskyy, Roman, 2013. "To the Problem of Financial Safety Estimation: the Index of Financial Safety of Turkey," MPRA Paper 47673, University Library of Munich, Germany.
    7. Ikefuji, Masako & Horii, Ryo, 2012. "Natural disasters in a two-sector model of endogenous growth," Journal of Public Economics, Elsevier, vol. 96(9-10), pages 784-796.
    8. Jha, Raghbendra & Murthy, K. V. Bhanu, 2003. "An inverse global environmental Kuznets curve," Journal of Comparative Economics, Elsevier, vol. 31(2), pages 352-368, June.
    9. Rodríguez-Fuentes, Carlos Javier & Hernández-López, Montserrat, 1997. "Análisis de diferencias estructurales interregionales determinantes en el impacto de la política monetaria," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 7, pages 141-157, Junio.
    10. Ivaldi, Enrico, 2013. "Proposal of a country risk index based on a factorial analysis - Una proposta di indice di rischio paese basato sull’analisi fattoriale: una applicazione ai paesi del sud del Mediterraneo e ai paesi d," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 66(2), pages 231-249.
    11. A. N. Hristov & A. T. Degaetano & C. A. Rotz & E. Hoberg & R. H. Skinner & T. Felix & H. Li & P. H. Patterson & G. Roth & M. Hall & T. L. Ott & L. H. Baumgard & W. Staniar & R. M. Hulet & C. J. Dell &, 2018. "Climate change effects on livestock in the Northeast US and strategies for adaptation," Climatic Change, Springer, vol. 146(1), pages 33-45, January.
    12. Rei Itsukushima & Yohei Ogahara & Yuki Iwanaga & Tatsuro Sato, 2018. "Investigating the Influence of Various Stormwater Runoff Control Facilities on Runoff Control Efficiency in a Small Catchment Area," Sustainability, MDPI, vol. 10(2), pages 1-12, February.
    13. Vesselina Dimitrova & Georgi Marinov & Lino Manosperta, 2019. "Developing Low-Carbon Tourism In Puglia: Case Study Of I. Archeo.S Project," Economic Archive, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 2 Year 20, pages 16-32.
    14. Noor Nahar Begum & Sarabia Rahman, 2016. "An Analytical Study on Investors¡¯ Preference towards Mutual Fund Investment: A Study in Dhaka City, Bangladesh," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(10), pages 184-191, October.
    15. Yaolong Liu & Guorui Feng & Ye Xue & Huaming Zhang & Ruoguang Wang, 2015. "Small-scale natural disaster risk scenario analysis: a case study from the town of Shuitou, Pingyang County, Wenzhou, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(3), pages 2167-2183, February.
    16. Islam, Moinul & Kotani, Koji & Managi, Shunsuke, 2016. "Climate perception and flood mitigation cooperation: A Bangladesh case study," Economic Analysis and Policy, Elsevier, vol. 49(C), pages 117-133.
    17. Coppola, A. & Ianuario, S. & Chinnici, G. & Di Vita, G. & Pappalardo, G. & D'Amico, D., 2018. "Endogenous and Exogenous Determinants of Agricultural Productivity: What Is the Most Relevant for the Competitiveness of the Italian Agricultural Systems?," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(2).
    18. De Nicola, Arianna & Gitto, Simone & Mancuso, Paolo, 2013. "Airport quality and productivity changes: A Malmquist index decomposition assessment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 58(C), pages 67-75.
    19. Hemin Sun & Valentina Krysanova & Yu Gong & Miaoni Gao & Simon Treu & Ziyan Chen & Tong Jiang, 2024. "The recent trends of runoff in China attributable to climate change," Climatic Change, Springer, vol. 177(11), pages 1-19, November.
    20. Kaustubh Salvi & Subimal Ghosh, 2016. "Projections of Extreme Dry and Wet Spells in the 21st Century India Using Stationary and Non-stationary Standardized Precipitation Indices," Climatic Change, Springer, vol. 139(3), pages 667-681, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:80:y:2016:i:2:p:1195-1211. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.