Risk assessment of wind-sand disaster in Xinjiang， China

doi:10.7522/j.issn.1000-694X.2020.00060

Journal of Desert Research ›› 2020, Vol. 40 ›› Issue (6): 13-21.DOI: 10.7522/j.issn.1000-694X.2020.00060

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Risk assessment of wind-sand disaster in Xinjiang， China

Yuzhu Wang(), Haowen Yan(), Xiaoping Wang

Faculty of Geomatics / National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring / Gansu Provincial Engineering Laboratory for National Geographic State Monitoring，Lanzhou Jiaotong University，Lanzhou 730070，China

Received:2020-04-01 Revised:2020-06-05 Online:2020-12-09 Published:2020-12-09
Contact: Haowen Yan

Abstract

Abstract:

Based on the three-factor disaster theory， the assessment model of wind-sand disaster risk with the three factors and fourteen indexes was established by combining subjective and objective methods from the three aspects of disaster-causing factors， disaster-bearing environment and disaster-bearing body， and the risk assessment of wind-sand disaster in Xinjiang was carried out. The results show that：（1） The highly risk areas of disaster-causing factors are mainly distributed in hinterland of the Taklimakan Desert and Kumtag Desert with rich sand and strong wind. （2） The highly sensitive areas of disaster-bearing environment are mainly concentrated in the Taklimakan Desert， the Kumtag Desert and the Gurbantunggut Desert with poor precipitation， strong evaporation and low vegetation coverage. （3） The highly vulnerable areas of disaster-bearing bodies are mainly concentrated near the urban areas of large and medium-sized cities such as Urumqi， Hami， Karamay， Yili， Korla and Kashgar. In addition， other counties also have scattered areas of high vulnerability. （4） According to the different reasons， the highly risk areas of wind-sand disaster can be divided into three types： resource type， agricultural type and urban type. （5） The resource type are mainly distributed in oilfield bases such as Shixi， Cainan， Lunnan， Yiqikailike and Tazhong， and the agricultural type mainly includes Lupu county， Cele county， Yutian county， Qiemo county and Yuli county， and the urban type mainly includes Turpan， Korla and Karamay city.

Key words: disaster-causing factors, disaster-bearing environment, disaster-bearing body, wind-sand disaster, risk assessment, Xinjiang

CLC Number:

Yuzhu Wang, Haowen Yan, Xiaoping Wang. Risk assessment of wind-sand disaster in Xinjiang， China[J]. Journal of Desert Research, 2020, 40(6): 13-21.

Figures/Tables 10

Fig.1 Distribution of altitude and meteorological stations in Xinjiang

Table 1 Weight values of evaluation indexes

年均

风速

Fig.2 Area percentage on risk grade of disaster-causing factors of wind-sand hazard

Fig.3 Risk index distribution on disaster-causing factors of wind-sand hazard

Fig.4 Area percentage on sensibility grade of disaster-bearing environment of wind-sand hazard

Fig.5 Sensibility index distribution on disaster-bearing environment of wind-sand hazard

Fig.6 Area percentage on vulnerability grade of disaster-bearing body of wind-sand hazard

Fig.7 Vulnerability index distribution on disaster-bearing body of wind-sand hazard

Fig.8 Area percentage on risk grade of wind-sand hazard

Fig.9 Risk index distribution of wind-sand hazard

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Risk assessment of wind-sand disaster in Xinjiang， China

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