GEP  Vol.5 No.8 , August 2017
Analysis of the Positive Effect from the Typhoon Saomai to the Hydrothermal Environment of Shanghai
Abstract: Northwestern Pacific is the only ocean which has the most typhoon formation. The study of typhoon has far reaching significance today. Typhoon can relieve drought and make temperature drop substantially. Even we were suffering continuous high temperature in summer, the temperature would decrease immediately accompanied with typhoon. By using MODIS and weather station data to calculate the vegetation index, we analyze the drought characteristics of Shanghai during Saomai period, so that we can show the changes from the two aspects of the vegetation growth and the surface temperature. On the other hand, through the relative humidity data of Typhoon Saomai, we can find that the vegetation index and the relative humidity have been increased significantly. Typhoon rain also has its beneficial agricultural production side. It can lift the drought or ease the drought. It also provides abundant water resources for the growth of crops. In addition, the typhoon for the adjustment of the Earth’s heat, is contributed to maintain heat balance. Therefore, the typhoon to bring the changes in hydrothermal environment on the objective assessment of its impact and timely use of typhoon resources are of great significance.
Cite this paper: Guo, R. and Weng, Y. (2017) Analysis of the Positive Effect from the Typhoon Saomai to the Hydrothermal Environment of Shanghai. Journal of Geoscience and Environment Protection, 5, 221-234. doi: 10.4236/gep.2017.58018.

[1]   Kang, R., Lin, D., Zhan, J., et al. (2005) Study of the Fluctuation of the NDVL in Fukuyama’s Experimental Field before and after Being Affected by the Typhoon Bilis in 2000. Taiwan Forestry Science, 20, 73-87.

[2]   Aosier, B. and Kaneko, M. (2007) Evaluation of the Forest Damage by Typhoon Using Remote Sensing Technique. IEEE International Conference on Geoseience and Remote Sensing Symposium, Barcelona, 23-27 July 2007.

[3]   Borghuis, A.M., Chang, K. and Lee, H.Y. (2007) Comparison between Automated and Mapping of Typhoon-Triggered Landslides from SPOT-5 Imagery. International Journal of Remote Sensing, 28, 1843-1856.

[4]   Li, L., Wang, Y., Adler, R.F., et al. (2009) Evaluation of the Real-Time TRMM-Based Multi-Satellite Precipitation Analysis for an Operational Flood Prediction System in Nzoia Basin, Lake Victoria, Africa. Natural Hazards, 50, 109-123.

[5]   Song, L. (2003) The Hydrothermal Environment. China Meteorological Press, Beijing.

[6]   Lu, Y. and Xiao, G. (2001) Meteorological Disasters and Defence. China Meteorological Press, Beijing.

[7]   Wei, J. and Ma, Z. (2003) Comparison among Hydrothermal Environment Index, Surface Humid Index and Precipitation Anomaly. The Geographical Journal, 55, 117-124.

[8]   Du, G. (2005) Study and Application of the VI Monitoring Model Based on EOS/MODIS. Master Dissertation, Huazhong University of Science and Technology, Wuhan, 1-59.

[9]   Chen, S., Tong, Q. and Guo, H. (1998) Study of the Remote Sensing Information Mechanization. Science Press, Beijing.

[10]   Wang, X. and Guo, N. (2003) Methods and Development of the Study on Monitoring Hydrothermal Environment by Remote Sensing. Meteorology of Hydrothermal Environment, 21, 76-81.

[11]   Song, X. and Zhao, Y. (2004) Study of Applying the MODIS Satellite Data to Extract the Compound Vegetation-Temperature-Water Number. Geography and Geo-Information Science, 20, 13-17.

[12]   Carlson, T.N., Gillies, R.R. and Perry, E.M. (1994) A Method to Make Use of Thermal Infrared Temperature and NDVI Measurements to Infer Surface Soil Water Content and Fraetional Vegetation Cover. Remote Sensing Reviews, 9, 161-173.

[13]   Goetz, S.J. (1997) Multi-Sensor Analysis of NDVI, Surface Temperature and Biophysical Variables at a Mixed Grassland Site. International Journal of Remote Sensing, 18, 71-94.

[14]   Qi, S., Luo, C., Wang, C., et al. (2006) Study of the Relation between Air Temperature and Land Surface Temperature, Spectral Vegetation Index. Remote Sensing Technology and Application, 21, 130-136.

[15]   Xia, H., Wu, J., Liu, Y., et al. (2005) Development of the Study on Applying Remote Sensing to Monitoring Hydrothermal Environment in China. Remote Sensing Information, No. 1, 55-58, 31.

[16]   Mo, W., Wang, Z., Sun, H.,, et al. (2006) Study of the Remote Sensing Monitoring Based on the Hydrothermal Environment on Farmland. Journal of Nanjing Institute of Meteorology, 29, 396-401.

[17]   Yang, L., Wu, R. and Run, W. (2007) Study of Monitoring Hydrothermal Environment. Environment Monitoring, 21, 226-225, 239.

[18]   Qin, Q., Ghulam, A., Zhu, L., et al. (2008) Evaluation of MODIS Derived Perpendicular Drought Index for Estimation of Surface Dryness over Northwestern China. International Journal of Remote Sensing, 29, 1983-1995.

[19]   Liang, Y., Zhang, F. and Han, T. (2007) Utilization of EOS/MODIS on Monitoring the Soil Moisture in Qingyang. Meteorology of Hydrothermal Environment, 25, 44-47.