Optimization of monitoring points on atmospheric pollution based on RS, GIS, and in-situ data

Huazhong He; Hong Fan

doi:10.1117/12.872958

3 November 2010 Optimization of monitoring points on atmospheric pollution based on RS, GIS, and in-situ data

Huazhong He, Hong Fan

Proceedings Volume 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality; 78401S (2010) https://doi.org/10.1117/12.872958
Event: The Sixth International Symposium on Digital Earth, 2009, Beijing, China

Abstract

It is important to locate and optimize the atmospheric environmental monitoring points in mid-scale regions. This paper, taking Hubei province as a case study, analyzed the situations of weather, climate conditions, terrain features and economics status, firstly, and proposed an idea of air environmental impact division, which required land classification. The study area was then classified into three feature types from MODIS data with GIS software, and, the original monitoring points of air environmental quality was optimized by means of fuzzy clustering. The results showed that the optimized points equaled to the present monitoring points that had just been changed. These methods can help other areas where the land surface is rough or complex in locating the atmospheric environmental monitoring points.

Citation Download Citation

Huazhong He and Hong Fan "Optimization of monitoring points on atmospheric pollution based on RS, GIS, and in-situ data", Proc. SPIE 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality, 78401S (3 November 2010); https://doi.org/10.1117/12.872958

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