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Spatio-temporal Changes and Frequency Analysis of Drought in the Wei River Basin, China

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  • Shengzhi Huang
  • Jianxia Chang
  • Qiang Huang
  • Yutong Chen

Abstract

This study has investigated the spatio-temporal changes of droughts from 1961 to 2005 in the Wei River Basin. The Standardized Precipitation Index (SPI) was employed to describe the droughts. The trends of SPI value at all the meteorological stations were calculated by using the modified Mann-Kendall (MMK) trend test method, indicating that the western basin has a significantly wet trend, whilst the eastern basin including the Guanzhong Plain has a trend towards drought . Since the historical droughts records were too short to fully investigate drought properties in this basin, a practical nonparametric method was proposed to calculate the joint probability distribution of drought properties, which overcomes the shortcomings of the univariate and parametric frequency analysis. The frequency analysis of drought in the Wei River Basin indicates that the Guanzhong Plain and the surrounding areas of Huanxian meteorological station have a high drought risks, whilst the western and northern basin except the surrounding areas of Huanxian station has a relatively low drought risk. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Shengzhi Huang & Jianxia Chang & Qiang Huang & Yutong Chen, 2014. "Spatio-temporal Changes and Frequency Analysis of Drought in the Wei River Basin, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3095-3110, August.
  • Handle: RePEc:spr:waterr:v:28:y:2014:i:10:p:3095-3110
    DOI: 10.1007/s11269-014-0657-4
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    Cited by:

    1. Homa Razmkhah, 2017. "Comparing Threshold Level Methods in Development of Stream Flow Drought Severity-Duration-Frequency Curves," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(13), pages 4045-4061, October.
    2. Lihua Xiong & Tao Du & Chong-Yu Xu & Shenglian Guo & Cong Jiang & Christopher Gippel, 2015. "Non-Stationary Annual Maximum Flood Frequency Analysis Using the Norming Constants Method to Consider Non-Stationarity in the Annual Daily Flow Series," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3615-3633, August.
    3. Lei Zou & Jun Xia & Dunxian She, 2018. "Analysis of Impacts of Climate Change and Human Activities on Hydrological Drought: a Case Study in the Wei River Basin, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(4), pages 1421-1438, March.
    4. Mohammad Ghadami & Tayeb Raziei & Mohsen Amini & Reza Modarres, 2020. "Regionalization of drought severity–duration index across Iran," 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(3), pages 2813-2827, September.
    5. Arash Modaresi Rad & Davar Khalili, 2015. "Appropriateness of Clustered Raingauge Stations for Spatio-Temporal Meteorological Drought Applications," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(11), pages 4157-4171, September.
    6. Jiantao Yang & Hongbo Zhang & Chongfeng Ren & Zhengnian Nan & Xiaowei Wei & Ci Li, 2019. "A Cross-Reconstruction Method for Step-Changed Runoff Series to Implement Frequency Analysis under Changing Environment," IJERPH, MDPI, vol. 16(22), pages 1-20, November.
    7. Cai, Siyang & Zuo, Depeng & Wang, Huixiao & Xu, Zongxue & Wang, GuoQing & Yang, Hong, 2023. "Assessment of agricultural drought based on multi-source remote sensing data in a major grain producing area of Northwest China," Agricultural Water Management, Elsevier, vol. 278(C).
    8. Jenq-Tzong Shiau & Jia-Wei Lin, 2016. "Clustering Quantile Regression-Based Drought Trends in Taiwan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1053-1069, February.
    9. Kun-xia Yu & Lihua Xiong & Peng Li & Zhanbin Li & Xiang Zhang & Qian Sun, 2018. "Analyzing the Impacts of Climatic and Physiographic Factors on Low Flow Distributions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(3), pages 881-896, February.
    10. Huang, Shengzhi & Wang, Lu & Wang, Hao & Huang, Qiang & Leng, Guoyong & Fang, Wei & Zhang, Ying, 2019. "Spatio-temporal characteristics of drought structure across China using an integrated drought index," Agricultural Water Management, Elsevier, vol. 218(C), pages 182-192.
    11. Chunyi Wang & Hans W. Linderholm & Yanling Song & Fang Wang & Yanju Liu & Jinfeng Tian & Jinxia Xu & Yingbo Song & Guoyu Ren, 2020. "Impacts of Drought on Maize and Soybean Production in Northeast China During the Past Five Decades," IJERPH, MDPI, vol. 17(7), pages 1-10, April.
    12. Jianzhu Li & Shuhan Zhou & Rong Hu, 2016. "Hydrological Drought Class Transition Using SPI and SRI Time Series by Loglinear Regression," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 669-684, January.
    13. U. Surendran & B. Anagha & P. Raja & V. Kumar & K. Rajan & M. Jayakumar, 2019. "Analysis of Drought from Humid, Semi-Arid and Arid Regions of India Using DrinC Model with Different Drought Indices," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(4), pages 1521-1540, March.
    14. Saiyan Liu & Shengzhi Huang & Yangyang Xie & Hao Wang & Guoyong Leng & Qiang Huang & Xiaoting Wei & Lu Wang, 2019. "Identification of the Non-stationarity of Floods: Changing Patterns, Causes, and Implications," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(3), pages 939-953, February.
    15. Srimanta Ghosh & K. Srinivasan, 2016. "Analysis of Spatio-temporal Characteristics and Regional Frequency of Droughts in the Southern Peninsula of India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(11), pages 3879-3898, September.
    16. Huang, Shengzhi & Huang, Qiang & Chang, Jianxia & Leng, Guoyong & Xing, Li, 2015. "The response of agricultural drought to meteorological drought and the influencing factors: A case study in the Wei River Basin, China," Agricultural Water Management, Elsevier, vol. 159(C), pages 45-54.
    17. Vazifehkhah, Saeed & Kahya, Ercan, 2019. "Hydrological and agricultural droughts assessment in a semi-arid basin: Inspecting the teleconnections of climate indices on a catchment scale," Agricultural Water Management, Elsevier, vol. 217(C), pages 413-425.
    18. Lu, Hongwei & Tian, Peipei & Guan, Yanlong & Yu, Sen, 2019. "Integrated suitability, vulnerability and sustainability indicators for assessing the global potential of aquifer thermal energy storage," Applied Energy, Elsevier, vol. 239(C), pages 747-756.
    19. Jianzhu Li & Shuhan Zhou & Rong Hu, 2016. "Hydrological Drought Class Transition Using SPI and SRI Time Series by Loglinear Regression," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 669-684, January.

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