IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v95y2019i3d10.1007_s11069-018-3514-6.html
   My bibliography  Save this article

Innovative trend analysis of main agriculture natural hazards in China during 1989–2014

Author

Listed:
  • Junli Li

    (Anhui Agricultural University
    Anhui Agricultural University
    Anhui Key Laboratory of Smart City and Geographical Condition Monitoring)

  • Wenjun Wu

    (Anhui Agricultural University
    Anhui Agricultural University)

  • Xinxin Ye

    (Anhui Agricultural University
    Anhui Agricultural University)

  • Hao Jiang

    (Anhui Agricultural University)

  • Ruijie Gan

    (Anhui Agricultural University)

  • Heli Wu

    (Anhui Agricultural University)

  • Jinglei He

    (Anhui Agricultural University)

  • Yuelin Jiang

    (Anhui Agricultural University
    Anhui Agricultural University)

Abstract

China is a country where the agricultural areas are frequently affected by natural hazards, and comprehending the change trends of natural hazards is of great significance to sustainable development in agriculture. Innovative trend analysis (ITA) is a new and important trend detection method. In this study, the ITA method was used to analyze five kinds of natural hazards in agricultural areas of China during 1989–2014: wind and hail, forest fire, drought, flood, and freezing hazard. The ITA method was compared with two traditional trend analysis methods, i.e., the Mann–Kendall (M–K) test and linear regression analysis (LRA). The results showed that the areas affected by wind and hail, forest fire, drought, and flood in China are showing significant decreasing trends (p

Suggested Citation

  • Junli Li & Wenjun Wu & Xinxin Ye & Hao Jiang & Ruijie Gan & Heli Wu & Jinglei He & Yuelin Jiang, 2019. "Innovative trend analysis of main agriculture natural hazards in China during 1989–2014," 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. 95(3), pages 677-720, February.
    • Handle: RePEc:spr:nathaz:v:95:y:2019:i:3:d:10.1007_s11069-018-3514-6
    DOI: 10.1007/s11069-018-3514-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-018-3514-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-018-3514-6?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Zhou, Zhigao & Wang, Lunche & Lin, Aiwen & Zhang, Ming & Niu, Zigeng, 2018. "Innovative trend analysis of solar radiation in China during 1962–2015," Renewable Energy, Elsevier, vol. 119(C), pages 675-689.
    2. Olga Wilhelmi & Donald Wilhite, 2002. "Assessing Vulnerability to Agricultural Drought: A Nebraska Case Study," 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. 25(1), pages 37-58, January.
    3. Yang Zhou & Ning Li & Wenxiang Wu & Jidong Wu & Xiaotian Gu & Zhonghui Ji, 2013. "Exploring the characteristics of major natural disasters in China and their impacts during the past decades," 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. 69(1), pages 829-843, October.
    4. Yukiko Hirabayashi & Roobavannan Mahendran & Sujan Koirala & Lisako Konoshima & Dai Yamazaki & Satoshi Watanabe & Hyungjun Kim & Shinjiro Kanae, 2013. "Global flood risk under climate change," Nature Climate Change, Nature, vol. 3(9), pages 816-821, September.
    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. Ximeng Xu & Qiuhong Tang, 2021. "Meteorological disaster frequency at prefecture-level city scale and induced losses in mainland China during 2011–2019," 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. 109(1), pages 827-844, October.
    2. Chenchen Yang & Han Zhang & Xunhua Li & Zongyi He & Junli Li, 2023. "Analysis of spatial and temporal characteristics of major natural disasters in China from 2008 to 2021 based on mining news database," 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. 118(3), pages 1881-1916, September.
    3. Xiaodong Zhu & Zijing Jin & Shunsuke Managi & XiRong Xun, 2021. "How meteorological disasters affect the labor market? The moderating effect of government emergency response policy," 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. 107(3), pages 2625-2640, July.
    4. Chen, Zhe & Sarkar, Apurbo & Rahman, Airin & Li, Xiaojing & Xia, Xianli, 2022. "Exploring the drivers of green agricultural development (GAD) in China: A spatial association network structure approaches," Land Use Policy, Elsevier, vol. 112(C).
    5. Sinan Nacar, 2023. "Trends of High and Low Values of Annual and Seasonal Precipitation in Turkey," Sustainability, MDPI, vol. 15(23), pages 1-18, December.
    6. Zewen Hu & Xiaocai Zhang & Jingjing Cui & Lijie Zhang & Wasim Ahmed, 2021. "A survey-based analysis of the public’s willingness for disaster relief in 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. 107(3), pages 2205-2225, July.

    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. Wang, Yutao & Sun, Mingxing & Song, Baimin, 2017. "Public perceptions of and willingness to pay for sponge city initiatives in China," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 11-20.
    2. Xin Wen & Ana María Alarcón Ferreira & Lynn M. Rae & Hirmand Saffari & Zafar Adeel & Laura A. Bakkensen & Karla M. Méndez Estrada & Gregg M. Garfin & Renee A. McPherson & Ernesto Franco Vargas, 2022. "A Comprehensive Methodology for Evaluating the Economic Impacts of Floods: An Application to Canada, Mexico, and the United States," Sustainability, MDPI, vol. 14(21), pages 1-27, October.
    3. Haixing Liu & Yuntao Wang & Chi Zhang & Albert S. Chen & Guangtao Fu, 2018. "Assessing real options in urban surface water flood risk management under climate change," 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. 94(1), pages 1-18, October.
    4. 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.
    5. Mook Bangalore & Andrew Smith & Ted Veldkamp, 2019. "Exposure to Floods, Climate Change, and Poverty in Vietnam," Economics of Disasters and Climate Change, Springer, vol. 3(1), pages 79-99, April.
    6. Lina Eklund & Jonathan Seaquist, 2015. "Meteorological, agricultural and socioeconomic drought in the Duhok Governorate, Iraqi Kurdistan," 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. 76(1), pages 421-441, March.
    7. Tran, Thi Xuyen, 2021. "Typhoon and Agricultural Production Portfolio -Empirical Evidence for a Developing Economy," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242411, Verein für Socialpolitik / German Economic Association.
    8. Franziska Piontek & Matthias Kalkuhl & Elmar Kriegler & Anselm Schultes & Marian Leimbach & Ottmar Edenhofer & Nico Bauer, 2019. "Economic Growth Effects of Alternative Climate Change Impact Channels in Economic Modeling," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1357-1385, August.
    9. Dilshad Ahmad & Muhammad Afzal, 2021. "Impact of climate change on pastoralists’ resilience and sustainable mitigation in Punjab, Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 11406-11426, August.
    10. Md. Uzzal Mia & Tahmida Naher Chowdhury & Rabin Chakrabortty & Subodh Chandra Pal & Mohammad Khalid Al-Sadoon & Romulus Costache & Abu Reza Md. Towfiqul Islam, 2023. "Flood Susceptibility Modeling Using an Advanced Deep Learning-Based Iterative Classifier Optimizer," Land, MDPI, vol. 12(4), pages 1-26, April.
    11. Hong Wu & Donald Wilhite, 2004. "An Operational Agricultural Drought Risk Assessment Model for Nebraska, USA," 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. 33(1), pages 1-21, September.
    12. Roopam Shukla & Ankit Agarwal & Kamna Sachdeva & Juergen Kurths & P. K. Joshi, 2019. "Climate change perception: an analysis of climate change and risk perceptions among farmer types of Indian Western Himalayas," Climatic Change, Springer, vol. 152(1), pages 103-119, January.
    13. Muluneh Legesse Edamo & Samuel Dagalo Hatiye & Thomas T. Minda & Tigistu Yisihak Ukumo, 2023. "Flood inundation and risk mapping under climate change scenarios in the lower Bilate catchment, Ethiopia," 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. 118(3), pages 2199-2226, September.
    14. Shamsuddin Shahid & Houshang Behrawan, 2008. "Drought risk assessment in the western part of Bangladesh," 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. 46(3), pages 391-413, September.
    15. S. A. Mashi & A. I. Inkani & Oghenejeabor Obaro & A. S. Asanarimam, 2020. "Community perception, response and adaptation strategies towards flood risk in a traditional African city," 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. 103(2), pages 1727-1759, September.
    16. Ebrahim Ahmadisharaf & Alfred J. Kalyanapu & Eun-Sung Chung, 2017. "Sustainability-Based Flood Hazard Mapping of the Swannanoa River Watershed," Sustainability, MDPI, vol. 9(10), pages 1-15, September.
    17. Maruyama Rentschler,Jun Erik & Salhab,Melda, 2020. "People in Harm's Way : Flood Exposure and Poverty in 189 Countries," Policy Research Working Paper Series 9447, The World Bank.
    18. Shuhei Yoshimoto & Giriraj Amarnath, 2018. "Application of a flood inundation model to analyze the potential impacts of a flood control plan in Mundeni Aru river basin, Sri Lanka," 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. 91(2), pages 491-513, March.
    19. Jing Wang & Feng Fang & Qiang Zhang & Jinsong Wang & Yubi Yao & Wei Wang, 2016. "Risk evaluation of agricultural disaster impacts on food production in southern China by probability density method," 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. 83(3), pages 1605-1634, September.
    20. Yong SHI, 2018. "Assessment of Agricultural Vulnerability to Floods in Shanghai by the DEA Method," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 1-11, March.

    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:95:y:2019:i:3:d:10.1007_s11069-018-3514-6. 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.