IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i6p5266-d1098914.html
   My bibliography  Save this article

Grain Risk Analysis of Meteorological Disasters in Gansu Province Using Probability Statistics and Index Approaches

Author

Listed:
  • Jing Wang

    (Lanzhou Institute of Arid Meteorology, China Meteorological Administration, Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province, Key Open Laboratory of Arid Climate Change and Disaster Reduction of China Meteorological Administration, Lanzhou 730020, China)

  • Feng Fang

    (Lanzhou Regional Climate Center, Lanzhou 730020, China)

  • Jinsong Wang

    (Lanzhou Institute of Arid Meteorology, China Meteorological Administration, Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province, Key Open Laboratory of Arid Climate Change and Disaster Reduction of China Meteorological Administration, Lanzhou 730020, China)

  • Ping Yue

    (Lanzhou Institute of Arid Meteorology, China Meteorological Administration, Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province, Key Open Laboratory of Arid Climate Change and Disaster Reduction of China Meteorological Administration, Lanzhou 730020, China)

  • Suping Wang

    (Lanzhou Institute of Arid Meteorology, China Meteorological Administration, Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province, Key Open Laboratory of Arid Climate Change and Disaster Reduction of China Meteorological Administration, Lanzhou 730020, China)

  • Liang Zhang

    (Lanzhou Institute of Arid Meteorology, China Meteorological Administration, Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province, Key Open Laboratory of Arid Climate Change and Disaster Reduction of China Meteorological Administration, Lanzhou 730020, China)

Abstract

With global warming, agrometeorological disasters are also rising, posing a severe threat to China’s food security. Risk assessment serves as a bridge from disaster crisis management to risk management. Gansu Province is geographically crucial, so we performed a refined assessment of grain production risk for this province using multiple features of disaster loss data recorded at the county level. Analyses were performed for each district and county with a probability approach and an index system. We found that grain trend yields in each district and most counties in Gansu Province are increasing. Wuwei and Linxia districts had higher yearly growth rates, of more than 120 kg/(ha·year). However, there are considerable differences in risk levels among counties, even within the same district. Huating and Jinchang counties are high risk locations, while Cheng, Diebu, Jinta, and Xiahe counties are low risk zones. In 39.2% of counties, the fluctuation tendency rate of relative meteorological yield was positive. The average yield reduction rates of grain in the 1980s, 1990s, 2000s, and 2010s were 5.5%, 6.6%, 8.1%, and 4.2%, respectively, and the average fluctuation coefficients were 5.0%, 5.5%, 7.1%, and 3.8%, respectively. After 2010, most regions’ average yield reduction rates fell dramatically, and grain output progressively stabilized. Counties prone to heavy disasters are primarily spread along the Hexi Corridor, with the probability exceeding 8%. However, 27.9% of counties were spared from severe calamities, which were mainly distributed in southwestern Gansu Province. Crop disaster conditions significantly positively correlated with grain risk. Drought is the primary cause of grain yield decline in Gansu Province. The findings can provide essential policy advice for the government in disaster prevention.

Suggested Citation

  • Jing Wang & Feng Fang & Jinsong Wang & Ping Yue & Suping Wang & Liang Zhang, 2023. "Grain Risk Analysis of Meteorological Disasters in Gansu Province Using Probability Statistics and Index Approaches," Sustainability, MDPI, vol. 15(6), pages 1-26, March.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5266-:d:1098914
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/6/5266/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/6/5266/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yaojie Yue & Lin Wang & Jian Li & A-xing Zhu, 2018. "An EPIC model-based wheat drought risk assessment using new climate scenarios in China," Climatic Change, Springer, vol. 147(3), pages 539-553, April.
    2. Bin He & Jianjun Wu & Aifeng Lü & Xuefeng Cui & Lei Zhou & Ming Liu & Lin Zhao, 2013. "Quantitative assessment and spatial characteristic analysis of agricultural drought risk 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. 66(2), pages 155-166, March.
    3. Wei Pei & Qiang Fu & Dong Liu & Tianxiao Li & Kun Cheng & Song Cui, 2019. "A Novel Method for Agricultural Drought Risk Assessment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 2033-2047, April.
    4. Kuo Li & Liping Guo & Jie Pan & Mingyu Li, 2022. "Evaluation of Future Maize Yield Changes and Adaptation Strategies in China," Sustainability, MDPI, vol. 14(15), pages 1-16, July.
    5. 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.
    6. Zhu, Xiufang & Xu, Kun & Liu, Ying & Guo, Rui & Chen, Lingyi, 2021. "Assessing the vulnerability and risk of maize to drought in China based on the AquaCrop model," Agricultural Systems, Elsevier, vol. 189(C).
    7. Elahi, Ehsan & Khalid, Zainab, 2022. "Estimating smart energy inputs packages using hybrid optimisation technique to mitigate environmental emissions of commercial fish farms," Applied Energy, Elsevier, vol. 326(C).
    Full references (including those not matched with items on IDEAS)

    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. Zhu, Xiufang & Xu, Kun & Liu, Ying & Guo, Rui & Chen, Lingyi, 2021. "Assessing the vulnerability and risk of maize to drought in China based on the AquaCrop model," Agricultural Systems, Elsevier, vol. 189(C).
    2. Feng Fang & Jing Wang & Jingjing Lin & Yuxia Xu & Guoyang Lu & Xin Wang & Pengcheng Huang & Yuhan Huang & Fei Yin, 2023. "Risk Assessment of Maize Yield Losses in Gansu Province Based on Spatial Econometric Analysis," Agriculture, MDPI, vol. 13(7), pages 1-26, June.
    3. Ming Li & Guiwen Wang & Shengwei Zong & Xurong Chai, 2023. "Copula-Based Assessment and Regionalization of Drought Risk in China," IJERPH, MDPI, vol. 20(5), pages 1-16, February.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Li, Pei & Huang, Qiang & Huang, Shengzhi & Leng, Guoyong & Peng, Jian & Wang, Hao & Zheng, Xudong & Li, Yifei & Fang, Wei, 2022. "Various maize yield losses and their dynamics triggered by drought thresholds based on Copula-Bayesian conditional probabilities," Agricultural Water Management, Elsevier, vol. 261(C).
    9. 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.
    10. Zhai, Yijie & Zhang, Tianzuo & Ma, Xiaotian & Shen, Xiaoxu & Ji, Changxing & Bai, Yueyang & Hong, Jinglan, 2021. "Life cycle water footprint analysis of crop production in China," Agricultural Water Management, Elsevier, vol. 256(C).
    11. Zhang, Yitong & Hao, Zengchao & Zhang, Yu, 2023. "Agricultural risk assessment of compound dry and hot events in China," Agricultural Water Management, Elsevier, vol. 277(C).
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.

    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:gam:jsusta:v:15:y:2023:i:6:p:5266-:d:1098914. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.