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The Research Of The Fire Danger Rating Prediction Model Based On The Forest Microclimate

Posted on:2017-02-08Degree:MasterType:Thesis
Country:ChinaCandidate:K J QianFull Text:PDF
GTID:2323330512969670Subject:Land Resource Science
Abstract/Summary:PDF Full Text Request
Forest fires' occurrence and development is closely related to meteorological factors. Deeply study various climatic factors' coordinated variation influence law on forest fires, grasping the forest fire danger rating, completing forest fire early warning, is profound significant for protecting valuable forest resources. Now, early warning of forest fire risk is mostly based on macro climate data. This study will do the same work with 4 microclimate factors of Chinese fir in Huitong. By statistical analyzing the variation of fir forest area and Huaihua's meteorological factor data in 2005-2014, summarizing forest's overall impact law on the macroclimate. As the basis for the establishment of suitable fire warning model of Chinese fir forest in Huitong County. The main conclusions of the study are as follows:(1) Forest zone's average monthly air temperature is less than Huaihua city. Chinese fir's regulate function of the air temperature in all seasons are different, the difference is mainly reflected in reduced the maximum temperature, especially in the summer; Forest zone's average monthly air relative humidity is higher than Huaihua city. Forests'air humidification effect is outstanding during the summer and autumn. The difference between the inside and outside of the forest reaches the maximum in winter; Chinese fir has significantly reduced the effect of wind, the difference between inside and outside of the forest area has seasonal variations in wind speed. The wind speed in forest is clearly related to seasons. The more vigorous the forests' life activities are, the wind spreads slower, on the contrary, the wind spreads faster; Forest zone's average monthly precipitation is less than Huaihua city in January, July and September, the result in the other months are on the contrary. The increasing effect of Chinese fir forest on regional precipitation was obvious, except in January, July, and September, the increasing proportion of rainfall changes from 12.07% to 50.35%, the annual total precipitation increased by 13.21%.(2) The occurrence of forest fire has a significant multiple linear correlation with air temperature, air relative humidity, wind speed and precipitation. The significant level of F test with air temperature and relative humidity of air was 0.05.(3) The effects of air temperature, relative humidity, wind speed and precipitation on forest fires were 0.414,0.404,0.080 and 0.102, respectively.(4) Setting up the forest fire weather rating warning model for Chinese fir forest in Huitong County, through the forecast effect test, result meets the accuracy requirements.
Keywords/Search Tags:Huitong County, forest microclimate, fire danger rating, SPSS
PDF Full Text Request
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