Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    2002, Vol. 14 Issue (4) : 17-21     DOI: 10.6046/gtzyyg.2002.04.04
Technology Application |
ORIGIN AND SOURCE REGION OF THE DUST STORM INFLUENCING BEIJING IN SPRING OF 2002
FANG Xiang1, ZHENG Xin-jiang1, LU Jun-tian1, SUN Jia-min1, TU Zhi-fang2, LI Meng-xian2, WANG Guo-sheng2, ZHOU Wei-dong2
1. China Meteorological Bureau, Beijing 100081, China;
2. National Forest Bureau, Beijing 100714, China
Download: PDF(1986 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

The origin and the source region of the dust weather are analysed in this paper, and some conclusions have been drawn: the climate background for the formation of the dust storm included the drought which had continued for three years and the abnormal warm during the winter of 2001. The dust weather that affected Beijing came from Mongolia and Hunshandake sandy area located in the middle of Inner Mongolia, and the former area obviously exerted more intense influence than the latter area.

Keywords        Combined active/passive microwave      TRMM      Soil moisture     
Issue Date: 02 August 2011
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
YANG Li-Juan
WU Sheng-Li
ZHANG Zhong-Jun
Cite this article:   
YANG Li-Juan,WU Sheng-Li,ZHANG Zhong-Jun. ORIGIN AND SOURCE REGION OF THE DUST STORM INFLUENCING BEIJING IN SPRING OF 2002[J]. REMOTE SENSING FOR LAND & RESOURCES, 2002, 14(4): 17-21.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2002.04.04     OR     https://www.gtzyyg.com/EN/Y2002/V14/I4/17


[1] 郑新江,陆文杰,罗敬宁.气象卫星多通道信息遥感沙尘暴研究[J].遥感学报,2001,5(4):300-306.


[2] 覃志豪,ZHANG Ming-hua,Arnon Karnieli.用NOAA-AVHRR热通道数据演算地表温度的劈窗算法[J].国土资源遥感,2001,(2):33-42.


[3] 马岚,郑新江,罗敬宁.9711号台风及伴生暴雨的卫星云图特征[J].国土资源遥感,1998,(1):28-32.


[4] 吴晓京,陆均天,张晓虎.2001年春季沙尘天气分析[J].国土资源遥感,2001,(3):8-11.

[1] GAO Qi, WANG Yuzhen, FENG Chunhui, MA Ziqiang, LIU Weiyang, PENG Jie, JI Yanzhen. Remote sensing inversion of desert soil moisture based on improved spectral indices[J]. Remote Sensing for Natural Resources, 2022, 34(1): 142-150.
[2] AI Lu, SUN Shuyi, LI Shuguang, MA Hongzhang. Research progress on the cooperative inversion of soil moisture using optical and SAR remote sensing[J]. Remote Sensing for Natural Resources, 2021, 33(4): 10-18.
[3] FAN Tianyi, ZHANG Xiang, HUANG Bing, QIAN Zhan, JIANG Heng. Downscaling of TRMM precipitation products and its application in Xiangjiang River basin[J]. Remote Sensing for Natural Resources, 2021, 33(4): 209-218.
[4] GAO Wenlong, ZHANG Shengwei, LIN Xi, LUO Meng, REN Zhaoyi. The remote sensing-based estimation and spatial-temporal dynamic analysis of SOM in coal mining[J]. Remote Sensing for Natural Resources, 2021, 33(4): 235-242.
[5] SONG Chengyun, HU Guangcheng, WANG Yanli, TANG Chao. Downscaling FY-3B soil moisture based on apparent thermal inertia and temperature vegetation index[J]. Remote Sensing for Land & Resources, 2021, 33(2): 20-26.
[6] YUAN Qianying, MA Caihong, WEN Qi, LI Xuemei. Vegetation cover change and its response to water and heat conditions in the growing season in Liupanshan poverty-stricken area[J]. Remote Sensing for Land & Resources, 2021, 33(2): 220-227.
[7] WANG Jiaxin, SA Chula, MAO Kebiao, MENG Fanhao, LUO Min, WANG Mulan. Temporal and spatial variation of soil moisture in the Mongolian Plateau and its response to climate change[J]. Remote Sensing for Land & Resources, 2021, 33(1): 231-239.
[8] YAN Hongbo, WEI Wanqiu, LU Xianjian, HUANG Yuhui. A study of drought and flood evolution in Guangxi based on TRMM data and SPI drought index[J]. Remote Sensing for Land & Resources, 2021, 33(1): 158-166.
[9] DU Fangzhou, SHI Yuli, SHENG Xia. Research on downscaling of TRMM precipitation products based on deep learning: Exemplified by northeast China[J]. Remote Sensing for Land & Resources, 2020, 32(4): 145-153.
[10] Junnan XIONG, Wei LI, Zhiqi LIU, Weiming CHENG, Chunkun FAN, Jin LI. Research on downscaling of TRMM data in the Tibetan Plateau based on GWR model[J]. Remote Sensing for Land & Resources, 2019, 31(4): 88-95.
[11] Kai WU, Hong SHU, Lei NIE, Zhenhang JIAO. Error analysis of soil moisture based on Triple Collocation method[J]. Remote Sensing for Land & Resources, 2018, 30(3): 68-75.
[12] Jun LI, Heng DONG, Xiang WANG, Lin YOU. Reconstructing missing data in soil moisture content derived from remote sensing based on optimum interpolation[J]. Remote Sensing for Land & Resources, 2018, 30(2): 45-52.
[13] Wen ZHANG, Yan REN, Xiaolin MA, Yijie HU. Estimation of soil moisture with drought indices in Huaihe River Basin of East China[J]. Remote Sensing for Land & Resources, 2018, 30(2): 73-79.
[14] ZHAO Feifei, BAO Nisha, WU Lixin, SUN Rui. Retrieving land surface temperature and soil moisture from HJ-1B data: A case study of Yimin open-cast coal mine region in Hulunbeier grassland[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(3): 1-9.
[15] MENG Dan, GONG Huili, LI Xiaojuan, YANG Siyao. Spatiotemporal distribution of the rainstorm and the relationship between urban heat island and urban rain island in Beijing on July 21, 2012[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(1): 178-185.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech