A Study on the Zoning Method of Flash Flood Control for Mountainous Cities: A Case Study of Yunnan Province
Abstract
:1. Introduction
2. Research Area and Data
2.1. Study Area Overview
2.2. Data Source and Collation
3. Technology Roadmap and Calculation Method
Technology Roadmap
- Level 1:
- Level 2:
- Level 3:
- where n is the number of people affected by flash floods in the watershed. By comparing n with the calculated values of N1 and N2, the grade of the population affected by flash floods in the small watershed is determined.
4. Results Analysis
4.1. Summary of Decision Factors
4.2. Analysis of Calculation Results
4.2.1. Key Prevention and Controlled Zoning for Flash Floods
4.2.2. Medium Prevention and Controlled Zoning for Flash Floods
4.2.3. General Prevention and Control Zoning for Flash Floods
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Socio-economic status The designed rainfall frequency corresponding to the critical rainfall | More than 1000 people were affected by the flash floods or the national and provincial important infrastructure and industrial and mining enterprises are seriously affected by flash floods. | More than 500 people were affected by the flash floods or the prefecture-level important infrastructure and industrial and mining enterprises are seriously affected by flash floods. | Less than 500 people were affected by the flash floods, and no important infrastructure or industrial and mining enterprises were affected by flash floods. |
The critical rainfall ≤ designed rainfall p = 20% | key prevention and controlled zoning for flash floods | key prevention and controlled zoning for flash floods | medium prevention and controlled zoning for flash floods |
Designed rainfall p = 5% ≥ The critical rainfall > designed rainfall p = 20% | key prevention and controlled zoning for flash floods | medium prevention and controlled zoning for flash floods | general prevention and control zoning for flash floods |
The critical rainfall > designed rainfall p = 5% | medium prevention and controlled zoning for flash floods | general prevention and controlled zoning for flash floods | general prevention and controlled zoning for flash floods |
Level of Population Threatened by Flash Floods Flood Control Capacity | |||
---|---|---|---|
Less than once in a 5-year return period | key prevention and controlled zoning for flash floods | key prevention and controlled zoning for flash floods | medium prevention and controlled zoning for flash floods |
More than once in a 5-year return period but less than once in a 20-year return period | key prevention and controlled zoning for flash floods | medium prevention and controlled zoning for flash floods | general prevention and controlled zoning for flash floods |
More than once in a 20-year return period | medium prevention and controlled zoning for flash floods | general prevention and controlled zoning for flash floods | general prevention and controlled zoning for flash floods |
City Name | Below the 5-Year Return Period | Higher Than the 5-Year Return Period and Below the 20-Year Return Period | Higher Than the 20-Year Return Period and Below the 100-Year Return Period | Higher Than the 100-Year Return Period | Total |
---|---|---|---|---|---|
Kunming | 307 (28.64%) | 307 (28.64%) | 160 (14.93%) | 298 (27.80%) | 1072 |
Qujing | 26 (2.89%) | 237 (26.33%) | 419 (46.56%) | 218 (24.22%) | 900 |
Yuxi | 92 (13.43%) | 392 (57.23%) | 201 (29.34%) | 0 (0%) | 685 |
Baoshan | 12 (2.15%) | 115 (20.57%) | 243 (43.47%) | 189 (33.81%) | 559 |
Zhaotong | 202 (16.22%) | 496 (39.84%) | 489 (39.28%) | 58 (4.66%) | 1245 |
Lijiang | 56 (9.84%) | 190 (33.39%) | 204 (35.85%) | 119 (20.91%) | 569 |
Puer | 132 (19.50%) | 193 (28.51%) | 331 (48.89%) | 21 (3.10%) | 677 |
Lingcang | 17 (4.08%) | 97 (23.26%) | 280 (67.15%) | 23 (5.52%) | 417 |
Chuxiong | 105 (12.17%) | 262 (30.36%) | 335 (38.82%) | 161 (18.66%) | 863 |
Honghe | 40 (3.93%) | 343 (33.69%) | 524 (51.47%) | 111 (10.90%) | 1018 |
Wenshan | 89 (10.19%) | 183 (20.96%) | 343 (39.29%) | 258 (29.55%) | 873 |
Xishuangbanna | 93 (30.59%) | 108 (35.53%) | 83 (27.30%) | 20 (6.58%) | 304 |
Dali | 59 (4.21%) | 480 (34.21%) | 634 (45.19%) | 230 (16.39%) | 1403 |
Dehong | 154 (42.08%) | 132 (36.07%) | 43 (11.75%) | 37 (10.11%) | 366 |
Nujiang | 2 (0.73%) | 163 (59.71%) | 43 (15.75%) | 65 (23.81%) | 273 |
Diqing | 77 (23.77%) | 118 (36.42%) | 129 (39.81%) | 0 (0%) | 324 |
Total | 1463 (12.67%) | 3816 (33.04%) | 4461 (38.63%) | 1808 (15.66%) | 11,548 |
City Name | Highest-Risk Area | High-Risk Area | Dangerous Areas | Total |
---|---|---|---|---|
Kunming | 26,871 (37.39%) | 21,842 (30.39%) | 23,149 (32.21%) | 71,862 |
Qujing | 261 (1.02%) | 8585 (33.71%) | 16,623 (65.27%) | 25,469 |
Yuxi | 5802 (15.65%) | 23,738 (64.04%) | 7526 (20.30%) | 37,066 |
Baoshan | 122 (1.33%) | 1423 (15.48%) | 7647 (83.19%) | 9192 |
Zhaotong | 2814 (6.20%) | 12,515 (27.59%) | 30,036 (66.21%) | 45,365 |
Lijiang | 895 (6.20%) | 5231 (36.22%) | 8318 (57.59%) | 14,444 |
Puer | 5210 (40.09%) | 3148 (24.22%) | 4638 (35.69%) | 12,996 |
Lingcang | 112 (2.96%) | 859 (22.70%) | 2813 (74.34%) | 3784 |
Chuxiong | 1444 (9.56%) | 6186 (40.97%) | 7470 (49.47%) | 15,100 |
Honghe | 283 (2.24%) | 4434 (35.15%) | 7898 (62.61%) | 12,615 |
Wenshan | 1123 (6.12%) | 7085 (38.63%) | 10,134 (55.25%) | 18,342 |
Xishuangbanna | 3196 (26.40%) | 3438 (28.39%) | 5474 (45.21%) | 12,108 |
Dali | 1149 (4.56%) | 10,381 (41.18%) | 13,678 (54.26%) | 25,208 |
Dehong | 16,962 (64.56%) | 5625 (21.41%) | 3688 (14.04%) | 26,275 |
Nujiang | 5 (0.11%) | 2478 (56.78%) | 1881 (43.10%) | 4364 |
Diqing | 1938 (61.15%) | 863 (27.23%) | 368 (11.61%) | 3169 |
Total | 68,187 (20.21%) | 117,831 (34.93%) | 151,341 (44.86%) | 337,359 |
City Name | Key Prevention and Controlled Zoning | Medium Prevention and Controlled Zoning | General Prevention and Control Zoning | Total |
---|---|---|---|---|
Kunming | 6473.78 | 7998.69 | 5259.14 | 19,731.61 |
Qujing | 764.84 | 3791.89 | 14,193.02 | 18,749.76 |
Yuxi | 899.90 | 9009.24 | 18,169.58 | 28,078.72 |
Baoshan | 863.17 | 6730.18 | 20,090.13 | 27,683.47 |
Zhaotong | 2649.73 | 3875.16 | 4129.44 | 10,654.32 |
Lijiang | 53.30 | 7802.36 | 15,172.34 | 23,028.00 |
Puer | 970.11 | 6335.20 | 24,687.93 | 31,993.24 |
Lingcang | 957.19 | 3955.37 | 15,315.58 | 20,228.14 |
Chuxiong | 447.29 | 4257.86 | 18,667.56 | 23,372.70 |
Honghe | 588.33 | 5948.41 | 7964.48 | 14,501.22 |
Wenshan | 842.46 | 13,872.69 | 28,945.00 | 43,660.15 |
Xishuangbanna | 1644.61 | 7805.80 | 19,158.13 | 28,608.54 |
Dali | 2388.71 | 7126.94 | 21,966.51 | 31,482.15 |
Dehong | 1549.36 | 7649.20 | 9588.53 | 18,787.09 |
Nujiang | 3745.60 | 4637.11 | 6030.25 | 14,412.97 |
Diqing | 4710.99 | 7475.43 | 10,076.05 | 22,262.48 |
Total | 29,549.35 | 108,271.52 | 239,413.68 | 377,234.56 |
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Zhang, Z.; Li, Q.; Liu, C.; Chen, Y. A Study on the Zoning Method of Flash Flood Control for Mountainous Cities: A Case Study of Yunnan Province. Appl. Sci. 2025, 15, 4781. https://doi.org/10.3390/app15094781
Zhang Z, Li Q, Liu C, Chen Y. A Study on the Zoning Method of Flash Flood Control for Mountainous Cities: A Case Study of Yunnan Province. Applied Sciences. 2025; 15(9):4781. https://doi.org/10.3390/app15094781
Chicago/Turabian StyleZhang, Zhixiong, Qing Li, Changjun Liu, and Yao Chen. 2025. "A Study on the Zoning Method of Flash Flood Control for Mountainous Cities: A Case Study of Yunnan Province" Applied Sciences 15, no. 9: 4781. https://doi.org/10.3390/app15094781
APA StyleZhang, Z., Li, Q., Liu, C., & Chen, Y. (2025). A Study on the Zoning Method of Flash Flood Control for Mountainous Cities: A Case Study of Yunnan Province. Applied Sciences, 15(9), 4781. https://doi.org/10.3390/app15094781