Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China

JIANG Weiguo; ZHU Xiaohua; WU Jianjun; et al

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Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China

JIANG Weiguo, ZHU Xiaohua, WU Jianjun, et al

文章导航 > Chinese Geographical Science > 2011 > 21(2): 159-166

JIANG Weiguo, ZHU Xiaohua, WU Jianjun, et al. Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China[J]. 中国地理科学, 2011, 21(2): 159-166.

引用本文:

JIANG Weiguo, ZHU Xiaohua, WU Jianjun, et al. Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China[J]. 中国地理科学, 2011, 21(2): 159-166.

JIANG Weiguo, ZHU Xiaohua, WU Jianjun, et al. Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China[J]. Chinese Geographical Science, 2011, 21(2): 159-166.

Citation:

JIANG Weiguo, ZHU Xiaohua, WU Jianjun, et al. Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China[J]. Chinese Geographical Science, 2011, 21(2): 159-166.

Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China

(1. State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China;
2.
Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing 100875, China;
3.
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
4.
College of Resources Environment & Tourism, Capital Normal University, Beijing 100048, China)

Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China

(1. State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China;
2.
Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing 100875, China;
3.
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
4.
College of Resources Environment & Tourism, Capital Normal University, Beijing 100048, China)

摘要: Coal fire burning around the world is an environmental catastrophe characterized by the emission of noxious gases, particulate matter, and condensation by-products. In this study, coal fire temperature is retrieved based on Landsat 5 TM images and Generalized Single-Channel Algorithm (GSCA), in Wuda coalfield, Inner Mongolia, China. Then coal fire zones are extracted by Jenks′ natural breaks and threshold methods based on temperature images. Changes of coal fire zones are analyzed from 1989 to 2008. The results are summarized as follows: 1) The coal fire temperature retrieval method based on Landsat 5 TM and the GSCA model is effective and feasible, because the temperature error is relatively small (from –2.9℃ to +2.6℃) between the measured temperature and the retrieved temperature. 2) The accuracy is relatively high to extract coal fire zones through the Jenks′ natural breaks and threshold methods, because 83.56% of surveyed area is located in the coal fire zones extracted in 2005. 3) The coal fire area increased 9.81 × 105 m2 from 1989 to 2005, and the annual growth is about 6.1 × 104 m2, with an annual increasing rate of 2.48%. The area of coal fire decreased by 8.1 × 105 m2 from 2005 to 2008.
- coal fire /
- temperature retrieving /
- Generalized Single-Channel Algorithm /
- Landsat 5 TM /
- Wuda coalfield /
- Inner Mongolia
Abstract: Coal fire burning around the world is an environmental catastrophe characterized by the emission of noxious gases, particulate matter, and condensation by-products. In this study, coal fire temperature is retrieved based on Landsat 5 TM images and Generalized Single-Channel Algorithm (GSCA), in Wuda coalfield, Inner Mongolia, China. Then coal fire zones are extracted by Jenks′ natural breaks and threshold methods based on temperature images. Changes of coal fire zones are analyzed from 1989 to 2008. The results are summarized as follows: 1) The coal fire temperature retrieval method based on Landsat 5 TM and the GSCA model is effective and feasible, because the temperature error is relatively small (from –2.9℃ to +2.6℃) between the measured temperature and the retrieved temperature. 2) The accuracy is relatively high to extract coal fire zones through the Jenks′ natural breaks and threshold methods, because 83.56% of surveyed area is located in the coal fire zones extracted in 2005. 3) The coal fire area increased 9.81 × 105 m2 from 1989 to 2005, and the annual growth is about 6.1 × 104 m2, with an annual increasing rate of 2.48%. The area of coal fire decreased by 8.1 × 105 m2 from 2005 to 2008.
- coal fire /
- temperature retrieving /
- Generalized Single-Channel Algorithm /
- Landsat 5 TM /
- Wuda coalfield /
- Inner Mongolia

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Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China

(1. State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China;

2. Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing 100875, China;

3. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;

4. College of Resources Environment & Tourism, Capital Normal University, Beijing 100048, China)

刊出日期: 2011-03-24

关键词:

coal fire /

temperature retrieving /

Generalized Single-Channel Algorithm /

Landsat 5 TM /

Wuda coalfield /

Inner Mongolia

摘要: Coal fire burning around the world is an environmental catastrophe characterized by the emission of noxious gases, particulate matter, and condensation by-products. In this study, coal fire temperature is retrieved based on Landsat 5 TM images and Generalized Single-Channel Algorithm (GSCA), in Wuda coalfield, Inner Mongolia, China. Then coal fire zones are extracted by Jenks′ natural breaks and threshold methods based on temperature images. Changes of coal fire zones are analyzed from 1989 to 2008. The results are summarized as follows: 1) The coal fire temperature retrieval method based on Landsat 5 TM and the GSCA model is effective and feasible, because the temperature error is relatively small (from –2.9℃ to +2.6℃) between the measured temperature and the retrieved temperature. 2) The accuracy is relatively high to extract coal fire zones through the Jenks′ natural breaks and threshold methods, because 83.56% of surveyed area is located in the coal fire zones extracted in 2005. 3) The coal fire area increased 9.81 × 105 m2 from 1989 to 2005, and the annual growth is about 6.1 × 104 m2, with an annual increasing rate of 2.48%. The area of coal fire decreased by 8.1 × 105 m2 from 2005 to 2008.

English Abstract

Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China

(1. State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China;

2. Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing 100875, China;

3. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;

4. College of Resources Environment & Tourism, Capital Normal University, Beijing 100048, China)

Publish Date: 2011-03-24

Keywords:

Abstract: Coal fire burning around the world is an environmental catastrophe characterized by the emission of noxious gases, particulate matter, and condensation by-products. In this study, coal fire temperature is retrieved based on Landsat 5 TM images and Generalized Single-Channel Algorithm (GSCA), in Wuda coalfield, Inner Mongolia, China. Then coal fire zones are extracted by Jenks′ natural breaks and threshold methods based on temperature images. Changes of coal fire zones are analyzed from 1989 to 2008. The results are summarized as follows: 1) The coal fire temperature retrieval method based on Landsat 5 TM and the GSCA model is effective and feasible, because the temperature error is relatively small (from –2.9℃ to +2.6℃) between the measured temperature and the retrieved temperature. 2) The accuracy is relatively high to extract coal fire zones through the Jenks′ natural breaks and threshold methods, because 83.56% of surveyed area is located in the coal fire zones extracted in 2005. 3) The coal fire area increased 9.81 × 105 m2 from 1989 to 2005, and the annual growth is about 6.1 × 104 m2, with an annual increasing rate of 2.48%. The area of coal fire decreased by 8.1 × 105 m2 from 2005 to 2008.

JIANG Weiguo, ZHU Xiaohua, WU Jianjun, et al. Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China[J]. 中国地理科学, 2011, 21(2): 159-166.

引用本文:

JIANG Weiguo, ZHU Xiaohua, WU Jianjun, et al. Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China[J]. 中国地理科学, 2011, 21(2): 159-166.

JIANG Weiguo, ZHU Xiaohua, WU Jianjun, et al. Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China[J]. Chinese Geographical Science, 2011, 21(2): 159-166.

Citation:

JIANG Weiguo, ZHU Xiaohua, WU Jianjun, et al. Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China[J]. Chinese Geographical Science, 2011, 21(2): 159-166.

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Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China

Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China

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Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China

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Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China

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