Classification of key aerosol types and their frequency distributions based on satellite remote sensing data at an industrially polluted city in the Yangtze River Delta, China

Publisher： John Wiley & Sons Inc

E-ISSN： 1097-0088|38|1|320-336

ISSN： 0899-8418

Source： INTERNATIONAL JOURNAL OF CLIMATOLOGY, Vol.38, Iss.1, 2018-01, pp. : 320-336

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Aerosol pollution and its impact on regional climate during Holi festival inferred from ground-based and satellite remote sensing observations

By Simha C.   Devara P.   Saha S.  

Natural Hazards, Vol. 69, Iss. 1, 2013-10 ,pp. : 889-903

Springer Publishing Company

Access to resources Recommend Favorite

Remote sensing-based inventory of glacial lakes in Sikkim Himalaya: semi-automated approach using satellite data

By Govindha Raj Babu K.   Kumar Vinod K   S.N. Remya  

Geomatics, Natural Hazards and Risk, Vol. 4, Iss. 3, 2013-09 ,pp. : 241-253

Taylor & Francis Ltd

Access to resources Recommend Favorite

Exceedance probability of multiple natural hazards: risk assessment in China’s Yangtze River Delta

By Liu Baoyin   Siu Yim   Mitchell Gordon   Xu Wei  

Natural Hazards, Vol. 69, Iss. 3, 2013-12 ,pp. : 2039-2055

Springer Publishing Company

Access to resources Recommend Favorite

Ensembles to model the impact of urbanization for a summertime rainstorm process in Yangtze River Delta, China

By  

METEOROLOGICAL APPLICATIONS, Vol. 22, Iss. 1, 2015-01 ,pp. : 105-112

John Wiley & Sons Inc

Access to resources Recommend Favorite

The assessment of drought relief by typhoon Saomai based on MODIS remote sensing data in Shanghai, China

By Jing Yuanshu   Li Jian   Weng Yongyuan   Wang Jing  

Natural Hazards, Vol. 71, Iss. 2, 2014-03 ,pp. : 1215-1225

Springer Publishing Company

Access to resources Recommend Favorite