Chlorophyll concentration and surface temperature changes associated with earthquakes

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• 作者：Habibeh Valizadeh Alvan (1) habibeh.valizadeh@mutiara.upm.edu.my
  Farid Haydari Azad (2)
  Husaini B. Omar (1)
• 关键词：Earthquake – Chlorophyll – Surface temperature – Satellite – Early information – Upwelling
• 刊名：Natural Hazards
• 出版年：2012
• 出版时间：October 2012
• 年：2012
• 卷：64
• 期：1
• 页码：691-706
• 全文大小：2.0 MB
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• 作者单位：1. Civil Eng. Department, University Putra Malaysia (UPM), Serdang, Malaysia2. Zamin Wesal Iranian Consulting Engineers Ltd, Tehran, Iran
• ISSN：1573-0840

文摘

The preparation process of an impending earthquake may leave fingerprints on the earth’s surface. Elastic strain in rocks, formation of micro-cracks, gas releases and other chemical or physical activities in the earth’s crust before and during earthquakes has been reported to cause rises in temperature, surface latent heat flux (SLHF), upwelling index and chlorophyll-a (Chl-a) concentration on the ground or sea surface. Changes in surface temperature can be monitored with thermal infrared sensors such as NOAA-AVHRR and microwave radiometers like AMSR-E/Aqua. SLHF data and upwelling indices are provided by National Centers for Environmental Prediction (NCEP) Reanalysis Project and Pacific Fisheries Environmental Laboratory, respectively. This study examines behaviors of the above four factors prior to the past three oceanic and coastal earthquakes occurred at the Pacific Ocean (Northern California of June 15, 2005, Central California of September 28, 2004, and December 22, 2003). We were successful in detecting pre-earthquake anomalies prior to all three earthquakes. Our detailed analysis revealed 1–5 °C rises in surface temperature in epicentral areas. Considerable anomalies in Chl-a concentration, 1–2 weeks before the day of the main earthquakes, were spotted, which are attributed to the rise in upwelling index. Time series of SLHF showed meaningful rises from 1 month to a fortnight before the earthquake events. One problem in our research was the low resolution of the data which makes the graphs that are generated from NCEP database affected by all sources of anomalies, other than seismic activities, within an about 1.8°–2.5° (200 km) area.