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Related Experiment Video

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A Protocol for Conducting Rainfall Simulation to Study Soil Runoff
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Construction and application of comprehensive drought index based on uncertainty cloud reasoning algorithm.

Chengguo Wu1, Shaowei Ning1, Juliang Jin1

  • 1School of Civil Engineering, Hefei University of Technology, Hefei, Anhui 230009, China; Institute of Water Resources and Environmental Systems Engineering, Hefei University of Technology, Hefei, Anhui 230009, China.

The Science of the Total Environment
|May 25, 2021
PubMed
Summary

A new comprehensive drought index, integrating precipitation and soil moisture, reveals an intensifying drought trend in Anhui Province, China. This tool aids in understanding and managing regional drought risks.

Keywords:
Anhui ProvinceCloud reasoning algorithmComprehensive drought indexDroughtDrought grid ratioMann-Kendall test

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Area of Science:

  • Environmental Science
  • Hydrology
  • Climate Science

Background:

  • Analyzing drought hazard system evolution requires a comprehensive drought index.
  • Understanding drought variation processes is crucial for effective risk management.
  • Existing indices may not fully capture the complexities of drought phenomena.

Purpose of the Study:

  • To develop and validate a comprehensive drought index using cloud uncertainty reasoning.
  • To integrate precipitation and soil moisture data for a more robust drought assessment.
  • To analyze drought evolution trends and characteristics in Anhui Province, China.

Main Methods:

  • Application of cloud uncertainty reasoning to construct a comprehensive drought index.
  • Integration of precipitation and soil moisture indicators.
  • Utilizing the Mann-Kendall trend test to analyze drought evolution trends and mutations.

Main Results:

  • A significant intensifying drought trend was observed from south to north in Anhui Province, with increased frequency.
  • Autumn drought was dominant (40% frequency), with spring and autumn droughts intensifying, while summer and winter trends were opposite.
  • Drought evolution showed intensifying trends in specific periods, with mutations identified in 1972, 1978, and 1998, consistent with historical data.

Conclusions:

  • The proposed comprehensive drought index and its framework are reliable for drought analysis.
  • The index accurately reflects drought evolution characteristics in Anhui Province.
  • This approach can be valuable for regional drought risk management and related research.