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Meteorological Risk Early Warning of Geological Disasters Based on Information Value Method: An Example from Huangshui Basin of Qinghai Province
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Cheng-long YANG1, Jian-yun ZHAO1, *, Chang-jun XU2, Feng CHEN1, Yue-di HOU3
Science Technology and Engineering | 2025, 25(21) : 8805 - 8813
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Science Technology and Engineering | 2025, 25(21): 8805-8813
Papers·Astronomy and Geosciences
Meteorological Risk Early Warning of Geological Disasters Based on Information Value Method: An Example from Huangshui Basin of Qinghai Province
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Cheng-long YANG1, Jian-yun ZHAO1, *, Chang-jun XU2, Feng CHEN1, Yue-di HOU3
Affiliations
  • 1 College of Geological Engineering, Qinghai University, Xining 810016, China
  • 2 Qinghai Provincial Key Laboratory of Geospatial Information Technology and Application, Xining 810001, China
  • 3 College of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
Published: 2025-07-28 doi: 10.12404/j.issn.1671-1815.2408609
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In order to study the relationship between rainfall and regional geological disaster risk, construct the meteorological warning model of geological disasters in Huangshui Basin, and provide reference for the geological disaster warning work in the basin. Huangshui Basin in Qinghai Province was taken as an example, where the susceptibility to geological hazards was evaluated using the information value method. The independence of each factor was tested using the Pearson correlation coefficient, and the accuracy of the evaluation results was assessed through the receiver operating characteristic curve (ROC) and the area under the curve (AUC). Subsequently, a geological-rainfall coupling model was also established using the logistic regression method, incorporating rainfall data, to carry out geological disaster meteorological risk warning and verification. The results show that Huangshui Basin geological disasters of very high susceptibility area and high susceptibility area is mainly distributed in the river valley plain zone and its tributaries at all levels in the middle and lower reaches of the two sides, the region is a geological disaster area. The results of the susceptibility evaluation are assessed for precision, and an AUC value of 0.785 is found. Geological-rainfall coupled warning model in the susceptibility value, the day rainfall, the first 1 day rainfall, the first 2 days day rainfall, the first 2 days of rainfall and the first 3 days of rainfall on the disaster are all positive, the model's prediction accuracy for the occurrence of geological disasters is 84.2%, and the AUC value is 0.864. Based on the five typical geological disasters that occurred in Huangshui Basin on 29th August 2020, the established geological-rainfall coupling model was verified, and it is found that with the geological-rainfall coupling model warning, four geological disasters reach the first warning level, and the other one reaches the second warning level. Combined with the warning rainfall threshold, the model was used to achieve the early warning of the landslide in Hongyagou Village on 5 September 2024. It can be seen that the constructed meteorological early warning model for geological disasters in the Huangshui Basin has a good early warning effect and a relatively high prediction accuracy rate, which can provide references for disaster prevention and mitigation for relevant departments.

geological hazards  /  risk warning  /  meteorology  /  information value method  /  logistic regression  /  Huangshui Basin
Cheng-long YANG, Jian-yun ZHAO, Chang-jun XU, Feng CHEN, Yue-di HOU. Meteorological Risk Early Warning of Geological Disasters Based on Information Value Method: An Example from Huangshui Basin of Qinghai Province[J]. Science Technology and Engineering, 2025 , 25 (21) : 8805 -8813 . DOI: 10.12404/j.issn.1671-1815.2408609
Year 2025 volume 25 Issue 21
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Article Info
doi: 10.12404/j.issn.1671-1815.2408609
  • Receive Date:2024-11-12
  • Online Date:2026-01-13
  • Published:2025-07-28
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  • Received:2024-11-12
  • Revised:2025-04-18
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Affiliations
    1 College of Geological Engineering, Qinghai University, Xining 810016, China
    2 Qinghai Provincial Key Laboratory of Geospatial Information Technology and Application, Xining 810001, China
    3 College of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
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占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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