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Research on the Statistical Assessment and Influencing Factors of Heat Wave Risk in Fuxia City Based on Multi-source Data
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Yan SU1, Kangwei CHANG1, Yiling CHEN1, Kaijin KUANG1, Hengrong LI2
Science Technology and Industry | 2025, 25(4) : 297 - 307
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Science Technology and Industry | 2025, 25(4): 297-307
Regional Practice
Research on the Statistical Assessment and Influencing Factors of Heat Wave Risk in Fuxia City Based on Multi-source Data
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Yan SU1, Kangwei CHANG1, Yiling CHEN1, Kaijin KUANG1, Hengrong LI2
Affiliations
  • 1 College of Finance, Fujian Jiang Xia University, Fuzhou 350108, China
  • 2 Straits Institute of Economics and Finance, Fujian Jiang Xia University, Fuzhou 350108, China
Published: 2025-02-25
Outline
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Utilizing data from Fuzhou and Xiamen in Fujian Province from 2013 to 2022, extreme heat waves were employed as the focal point to conduct a comprehensive statistical assessment of vulnerability across three dimensions such as risk exposure, sensitivity and adaptability. Furthermore, the influencing factors of extreme heat waves were examined using geographically weighted regression and geographic detector models. The findings reveal that disparities in geographical environmental conditions and socio-economic development levels between Fuzhou and Xiamen have resulted in varying degrees of extreme heat waves in both cities, with Xiamen demonstrating heightened vulnerability across multiple indicators. The resident population size, level of economic development and green space coverage within urban areas exert significant influence on extreme heat waves. Specifically, GDP and green space coverage yield negative impacts while the resident population yields positive effects. Additionally, financial resources and technological infrastructure also moderately impact the occurrence of extreme heat waves in both cities. Therefore, amidst global climate change and frequent meteorological disasters, optimizing population distribution alongside waterways is imperative along with augmenting urban greening initiatives to enhance vegetation coverage rates while concurrently improving infrastructure construction to ensure economic development aligns harmoniously with ecological benefits.

heat wave  /  vulnerability measurement  /  geographical weighted regression  /  geographic detector
Yan SU, Kangwei CHANG, Yiling CHEN, Kaijin KUANG, Hengrong LI. Research on the Statistical Assessment and Influencing Factors of Heat Wave Risk in Fuxia City Based on Multi-source Data[J]. Science Technology and Industry, 2025 , 25 (4) : 297 -307 .
Year 2025 volume 25 Issue 4
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Article Info
  • Receive Date:2024-06-02
  • Online Date:2025-08-17
  • Published:2025-02-25
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  • Received:2024-06-02
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Affiliations
    1 College of Finance, Fujian Jiang Xia University, Fuzhou 350108, China
    2 Straits Institute of Economics and Finance, Fujian Jiang Xia University, Fuzhou 350108, 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
species
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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