Characterizing Sand and Dust Storms (SDS) Intensity in China Based on Meteorological Data
文献类型:期刊论文
作者 | Cao, Hui1,2; Fu, Chao2,3; Zhang, Wanfeng4; Liu, Jian5 |
刊名 | SUSTAINABILITY
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出版日期 | 2018-07-01 |
卷号 | 10期号:7页码:13 |
关键词 | sand and dust storms (SDS) sand and dust storms (SDS) index sand and dust storms (SDS) intensity sand and dust storms (SDS) routes |
ISSN号 | 2071-1050 |
DOI | 10.3390/su10072372 |
通讯作者 | Zhang, Wanfeng(wfzhang@csu.ac.cn) |
英文摘要 | Sand and dust storms (SDS) are global phenomena that significantly impact the socio-economy, human health, and the environment. The characterization of SDS intensity is a fundamental aspect of SDS issues and studies. In this study, a sand and dust storms index (SDSI) is developed to characterize SDS intensity by addressing the potential impacts of sand and dust storms on sensitive elements. Compared with other indices, SDSI includes four SDS-related components: SDS frequency, SDS visibility, SDS duration, and SDS wind speed. Using SDSI, this study characterizes the SDS intensity in the Three-North Forest Shelterbelt Program (TNFSP) region of China. The SDSI results show that high values of SDSI are mostly concentrated in southern Xinjiang, western and central Inner Mongolia, western and central Gansu, and northern Ningxia. By analyzing the SDSI components, over half of the stations experienced sand and dust storms no more than once per year on average. Most of the SDS events reduced horizontal visibility to less than 500 m, one-third of SDS events last more than two hours, and the wind speed of over half of the SDS events varied between 10-17 m/s. In comparison with SDS frequency, SDSI performs better in reflecting the spatial and temporal variation of SDS events. Therefore, instead of SDS frequency, SDSI can be applied to studies relevant to SDS intensity. Finally, five major SDS transportation routes were identified based on the surface prevailing wind direction, SDSI, and the existing literature. The SDS routes, combined with SDSI, could help governments and policy-makers cooperate on a regional level to combat SDS events more effectively. |
WOS关键词 | EAST-ASIAN DUST ; MINERAL DUST ; NORTHERN CHINA ; REGIONAL CHARACTERISTICS ; RESPIRATORY-DISEASES ; HOSPITAL ADMISSIONS ; NORTHWEST CHINA ; SEMIARID CHINA ; SOURCE AREAS ; VISIBILITY |
资助项目 | secretariat of the United Nations Convention to Combat Desertification (UNCCD) ; CAS Key Laboratory of Lunar and Deep Space Exploration[16120452] ; National Natural Science Foundation of China[41701468] |
WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000440947600263 |
出版者 | MDPI |
资助机构 | secretariat of the United Nations Convention to Combat Desertification (UNCCD) ; CAS Key Laboratory of Lunar and Deep Space Exploration ; National Natural Science Foundation of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/54326] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Zhang, Wanfeng |
作者单位 | 1.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Watershed Geog Sci, Nanjing 210008, Jiangsu, Peoples R China 2.United Nations Environm, Int Ecosyst Management Partnership, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 4.Chinese Acad Sci, Technol & Engn Ctr Space Utilizat, Key Lab Space Utilizat, Beijing 100094, Peoples R China 5.United Nations Environm, United Nations Ave,POB 30552, Nairobi 00100, Kenya |
推荐引用方式 GB/T 7714 | Cao, Hui,Fu, Chao,Zhang, Wanfeng,et al. Characterizing Sand and Dust Storms (SDS) Intensity in China Based on Meteorological Data[J]. SUSTAINABILITY,2018,10(7):13. |
APA | Cao, Hui,Fu, Chao,Zhang, Wanfeng,&Liu, Jian.(2018).Characterizing Sand and Dust Storms (SDS) Intensity in China Based on Meteorological Data.SUSTAINABILITY,10(7),13. |
MLA | Cao, Hui,et al."Characterizing Sand and Dust Storms (SDS) Intensity in China Based on Meteorological Data".SUSTAINABILITY 10.7(2018):13. |
入库方式: OAI收割
来源:地理科学与资源研究所
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