Gamma generalized linear model to investigate the effects of climate variables on the area burned by forest fire in northeast China

2015 ◽  
Vol 26 (3) ◽  
pp. 545-555 ◽  
Author(s):  
Futao Guo ◽  
Guangyu Wang ◽  
John L. Innes ◽  
Xiangqing Ma ◽  
Long Sun ◽  
...  
Keyword(s):  
Linear Model ◽  
Forest Fire ◽  
Generalized Linear Model ◽  
Northeast China ◽  
Climate Variables ◽  
Area Burned

scholarly journals Correlational study of air pollution-related diseases (asthma, conjunctivitis, URTI and dengue) in Johor Bahru, Malaysia

2017 ◽  
Vol 13 (4-1) ◽  
pp. 354-361 ◽  
Author(s):  
Aaishah Radziah Jamaludin ◽  
Fadhilah Yusof ◽  
Rahmah Mohd Lokoman ◽  
Zainura Zainoon Noor ◽  
Noreliza Alias ◽  
...  
Keyword(s):  
Air Pollution ◽  
Linear Model ◽  
Sulphur Dioxide ◽  
Generalized Linear Model ◽  
Negative Binomial ◽  
Influential Factors ◽  
Motor Vehicles ◽  
Binomial Model ◽  
Climate Variables ◽  
Mobile Sources

Four pollution related diseases, namely asthma, conjunctivitis, URTI and dengue will be studied in terms of their trend, behaviour and association with influential factors such as air pollution and climate variables. Two methods were chosen; Poisson Generalized Linear Model and Negative Binomial Model. These methods were used to determine the association between the diseases and their influential factors. This study shows that Sulphur Dioxide (SO2) is the most abundant source that contributes to the diseases. Therefore, the local authorities such as the Department of Environment need to reinforce the law in planning and monitoring the SO2 sources which are produced from fuel combustion in mobile sources and motor vehicles. 

scholarly journals Empirical Research on Climate Warming Risks for Forest Fires: A Case Study of Grade I Forest Fire Danger Zone, Sichuan Province, China

2021 ◽  
Vol 13 (14) ◽  
pp. 7773
Author(s):  
San Wang ◽  
Hongli Li ◽  
Shukui Niu
Keyword(s):  
Wind Speed ◽  
Forest Fire ◽  
Climate Warming ◽  
Forest Fires ◽  
Meteorological Factors ◽  
Sichuan Province ◽  
Danger Zone ◽  
Climatic Regions ◽  
Area Burned ◽  
Forest Fire Danger

The Sichuan province is a key area for forest and grassland fire prevention in China. Forest resources contribute significantly not only to the biological gene pool in the mid latitudes but also in reducing the concentration of greenhouse gases and slowing down global warming. To study and forecast forest fire change trends in a grade I forest fire danger zone in the Sichuan province under climate change, the dynamic impacts of meteorological factors on forest fires in different climatic regions were explored and a model between them was established by using an integral regression in this study. The results showed that the dominant factor behind the area burned was wind speed in three climatic regions, particularly in Ganzi and A’ba with plateau climates. In Ganzi and A’ba, precipitation was mainly responsible for controlling the number of forest fires while it was mainly affected by temperature in Panzhihua and Liangshan with semi-humid subtropical mountain climates. Moreover, the synergistic effect of temperature, precipitation and wind speed was responsible in basin mid-subtropical humid climates with Chengdu as the center and the influence of temperature was slightly higher. The differential forest fire response to meteorological factors was observed in different climatic regions but there was some regularity. The influence of monthly precipitation in the autumn on the area burned in each climatic region was more significant than in other seasons, which verified the hypothesis of a precipitation lag effect. Climate warming and the combined impact of warming effects may lead to more frequent and severe fires.

Optimization in a multivariate generalized linear model situation

2008 ◽  
Vol 52 (10) ◽  
pp. 4625-4634 ◽  
Author(s):  
S. Mukhopadhyay ◽  
A.I. Khuri
Keyword(s):  
Linear Model ◽  
Generalized Linear Model ◽  
Model Situation
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