RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS

YIN Hai-wei; KONG Fan-hua; LI Xiu-zhen

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RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS

YIN Hai-wei, KONG Fan-hua, LI Xiu-zhen

文章导航 > Chinese Geographical Science > 2004 > 14(3): 251-257

YIN Hai-wei, KONG Fan-hua, LI Xiu-zhen. RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS[J]. 中国地理科学, 2004, 14(3): 251-257.

引用本文:

YIN Hai-wei, KONG Fan-hua, LI Xiu-zhen. RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS[J]. 中国地理科学, 2004, 14(3): 251-257.

YIN Hai-wei, KONG Fan-hua, LI Xiu-zhen. RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS[J]. Chinese Geographical Science, 2004, 14(3): 251-257.

Citation:

YIN Hai-wei, KONG Fan-hua, LI Xiu-zhen. RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS[J]. Chinese Geographical Science, 2004, 14(3): 251-257.

RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS

1.
Department of Urban and Resources Sciences, Nanjing University, Nanjing 210093, P.R.China;
2.
Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, P.R.China;
3.
Graduate School for International Development and Cooperation, Hiroshima University, Kagamiyama 739-8529, Japan

基金项目: Under the auspices of the National Natural Science Foundation of China (No.30270225,40331008) and Chinese Academy of Sciences (No.SCXZY0102)

详细信息

作者简介:
Biography:YIN Hai-wei(1978- ), male, a native of Qingzhou City of Shandong Province，Ph.D., specialized in Geographic lnfor- matron System. E-mail:qzyinhaiwei@163.com

中图分类号: S762

RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS

1.
Department of Urban and Resources Sciences, Nanjing University, Nanjing 210093, P.R.China;
2.
Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, P.R.China;
3.
Graduate School for International Development and Cooperation, Hiroshima University, Kagamiyama 739-8529, Japan

摘要: The Da Hinggan Mountains is one of the most important forest areas in China, but forest fire there is also of high frequency. So it is completely necessary to map forest fire risk zones in order to effectively manage and protect the forest resources. Two forest farms of Tuqiang Forest Bureau (53°34'-52°15'N,124°05'-122°18'E) were chosen as typical areas in this study. Remote sensing (RS) and Geographic Information System (GIS) play a vital role and can be used effectively to obtain and combine different forest-fire-causing factors for demarcating the forest fire risk zone map. Forest fire risk zones were described by assigning subjective weights to the classes of all the coverage layers according to their sensitivity to fire, using the ARC/INFO GIS software. Four classes of forest fire risk ranging from low to extremely high were generated automatically in ARC/INFO. The results showed that about 60.33% of the study area were predicted to be upper moderate risk zones, indicating that the forest fire management task in this area is super onerous. The RS and GIS-based forest fire risk model of the study area was found to be highly compatible with the actual fire-affected sites in 1987. Therefore the forest fire risk zone map can be used for guidance of forest fire management, and as basis for fire prevention strategies.
- forest fire risk zone /
- RS /
- GIS /
- Da Hinggan Mountains
Abstract: The Da Hinggan Mountains is one of the most important forest areas in China, but forest fire there is also of high frequency. So it is completely necessary to map forest fire risk zones in order to effectively manage and protect the forest resources. Two forest farms of Tuqiang Forest Bureau (53°34′-52°15′N,124°05′-122°18′E) were chosen as typical areas in this study. Remote sensing (RS) and Geographic Information System (GIS) play a vital role and can be used effectively to obtain and combine different forest-fire-causing factors for demarcating the forest fire risk zone map. Forest fire risk zones were described by assigning subjective weights to the classes of all the coverage layers according to their sensitivity to fire, using the ARC/INFO GIS software. Four classes of forest fire risk ranging from low to extremely high were generated automatically in ARC/INFO. The results showed that about 60.33% of the study area were predicted to be upper moderate risk zones, indicating that the forest fire management task in this area is super onerous. The RS and GIS-based forest fire risk model of the study area was found to be highly compatible with the actual fire-affected sites in 1987. Therefore the forest fire risk zone map can be used for guidance of forest fire management, and as basis for fire prevention strategies.
- forest fire risk zone /
- RS /
- GIS /
- Da Hinggan Mountains

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RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS

1. Department of Urban and Resources Sciences, Nanjing University, Nanjing 210093, P.R.China;

2. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, P.R.China;

3. Graduate School for International Development and Cooperation, Hiroshima University, Kagamiyama 739-8529, Japan

基金项目: Under the auspices of the National Natural Science Foundation of China (No.30270225,40331008) and Chinese Academy of Sciences (No.SCXZY0102)

作者简介:
Biography:YIN Hai-wei(1978- ), male, a native of Qingzhou City of Shandong Province，Ph.D., specialized in Geographic lnfor- matron System. E-mail:qzyinhaiwei@163.com

收稿日期: 2004-04-07
刊出日期: 2004-09-20

中图分类号: S762

关键词:

forest fire risk zone /

RS /

GIS /

Da Hinggan Mountains

摘要: The Da Hinggan Mountains is one of the most important forest areas in China, but forest fire there is also of high frequency. So it is completely necessary to map forest fire risk zones in order to effectively manage and protect the forest resources. Two forest farms of Tuqiang Forest Bureau (53°34'-52°15'N,124°05'-122°18'E) were chosen as typical areas in this study. Remote sensing (RS) and Geographic Information System (GIS) play a vital role and can be used effectively to obtain and combine different forest-fire-causing factors for demarcating the forest fire risk zone map. Forest fire risk zones were described by assigning subjective weights to the classes of all the coverage layers according to their sensitivity to fire, using the ARC/INFO GIS software. Four classes of forest fire risk ranging from low to extremely high were generated automatically in ARC/INFO. The results showed that about 60.33% of the study area were predicted to be upper moderate risk zones, indicating that the forest fire management task in this area is super onerous. The RS and GIS-based forest fire risk model of the study area was found to be highly compatible with the actual fire-affected sites in 1987. Therefore the forest fire risk zone map can be used for guidance of forest fire management, and as basis for fire prevention strategies.

English Abstract

RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS

1. Department of Urban and Resources Sciences, Nanjing University, Nanjing 210093, P.R.China;

2. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, P.R.China;

3. Graduate School for International Development and Cooperation, Hiroshima University, Kagamiyama 739-8529, Japan

Received Date: 2004-04-07
Publish Date: 2004-09-20

Keywords:

Abstract: The Da Hinggan Mountains is one of the most important forest areas in China, but forest fire there is also of high frequency. So it is completely necessary to map forest fire risk zones in order to effectively manage and protect the forest resources. Two forest farms of Tuqiang Forest Bureau (53°34′-52°15′N,124°05′-122°18′E) were chosen as typical areas in this study. Remote sensing (RS) and Geographic Information System (GIS) play a vital role and can be used effectively to obtain and combine different forest-fire-causing factors for demarcating the forest fire risk zone map. Forest fire risk zones were described by assigning subjective weights to the classes of all the coverage layers according to their sensitivity to fire, using the ARC/INFO GIS software. Four classes of forest fire risk ranging from low to extremely high were generated automatically in ARC/INFO. The results showed that about 60.33% of the study area were predicted to be upper moderate risk zones, indicating that the forest fire management task in this area is super onerous. The RS and GIS-based forest fire risk model of the study area was found to be highly compatible with the actual fire-affected sites in 1987. Therefore the forest fire risk zone map can be used for guidance of forest fire management, and as basis for fire prevention strategies.

YIN Hai-wei, KONG Fan-hua, LI Xiu-zhen. RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS[J]. 中国地理科学, 2004, 14(3): 251-257.

引用本文:

YIN Hai-wei, KONG Fan-hua, LI Xiu-zhen. RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS[J]. 中国地理科学, 2004, 14(3): 251-257.

YIN Hai-wei, KONG Fan-hua, LI Xiu-zhen. RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS[J]. Chinese Geographical Science, 2004, 14(3): 251-257.

Citation:

YIN Hai-wei, KONG Fan-hua, LI Xiu-zhen. RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS[J]. Chinese Geographical Science, 2004, 14(3): 251-257.

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RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS

作者简介: Biography:YIN Hai-wei(1978- ), male, a native of Qingzhou City of Shandong Province，Ph.D., specialized in Geographic lnfor- matron System. E-mail:qzyinhaiwei@163.com

RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS

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RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS

1. Department of Urban and Resources Sciences, Nanjing University, Nanjing 210093, P.R.China; 2. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, P.R.China; 3. Graduate School for International Development and Cooperation, Hiroshima University, Kagamiyama 739-8529, Japan

作者简介: Biography:YIN Hai-wei(1978- ), male, a native of Qingzhou City of Shandong Province，Ph.D., specialized in Geographic lnfor- matron System. E-mail:qzyinhaiwei@163.com

English Abstract

RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS

1. Department of Urban and Resources Sciences, Nanjing University, Nanjing 210093, P.R.China; 2. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, P.R.China; 3. Graduate School for International Development and Cooperation, Hiroshima University, Kagamiyama 739-8529, Japan

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作者简介:
Biography:YIN Hai-wei(1978- ), male, a native of Qingzhou City of Shandong Province，Ph.D., specialized in Geographic lnfor- matron System. E-mail:qzyinhaiwei@163.com

作者简介:
Biography:YIN Hai-wei(1978- ), male, a native of Qingzhou City of Shandong Province，Ph.D., specialized in Geographic lnfor- matron System. E-mail:qzyinhaiwei@163.com