Assessment of Waterlogging Risk in Lixiahe Region of Jiangsu Province Based on AVHRR and MODIS Image

HUANG Dapeng; LIU Chuang; FANG Huajun; PENG Shunfeng

doi:10.1007/s11769-008-0178-2

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Assessment of Waterlogging Risk in Lixiahe Region of Jiangsu Province Based on AVHRR and MODIS Image

HUANG Dapeng, LIU Chuang, FANG Huajun, PENG Shunfeng

文章导航 > Chinese Geographical Science > 2008 > 18(2): 178-183

HUANG Dapeng, LIU Chuang, FANG Huajun, PENG Shunfeng. Assessment of Waterlogging Risk in Lixiahe Region of Jiangsu Province Based on AVHRR and MODIS Image[J]. 中国地理科学, 2008, 18(2): 178-183. doi: 10.1007/s11769-008-0178-2

引用本文:

HUANG Dapeng, LIU Chuang, FANG Huajun, PENG Shunfeng. Assessment of Waterlogging Risk in Lixiahe Region of Jiangsu Province Based on AVHRR and MODIS Image[J]. Chinese Geographical Science, 2008, 18(2): 178-183. doi: 10.1007/s11769-008-0178-2

Citation:

HUANG Dapeng, LIU Chuang, FANG Huajun, PENG Shunfeng. Assessment of Waterlogging Risk in Lixiahe Region of Jiangsu Province Based on AVHRR and MODIS Image[J]. Chinese Geographical Science, 2008, 18(2): 178-183. doi: 10.1007/s11769-008-0178-2

Assessment of Waterlogging Risk in Lixiahe Region of Jiangsu Province Based on AVHRR and MODIS Image

doi: 10.1007/s11769-008-0178-2

1.
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
2.
Graduate University of the Chinese Academy of Sciences, Beijing 100049, China;
3.
Huaihe River Commission, Ministry of Water Resources, P. R. China, Bengbu 233001, China

基金项目: Under the auspices of Ministry of Water Resources, P. R. China (No. [2001]29)

详细信息

通讯作者:
HUANG Dapeng. E-mail: dapenghuang@163.com

Assessment of Waterlogging Risk in Lixiahe Region of Jiangsu Province Based on AVHRR and MODIS Image

1.
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
2.
Graduate University of the Chinese Academy of Sciences, Beijing 100049, China;
3.
Huaihe River Commission, Ministry of Water Resources, P. R. China, Bengbu 233001, China

摘要: Four images of 1991 AVHRR, 2003 and 2007 MODIS were used to extract waterlogging inundated water of three years, and three inundated water maps were overlaid to estimate waterlogging affected frequency. Based on wa-terlogging affected frequency, waterlogging hazard of pixel scale was assessed. According to the weighed score of area percentage of different waterlogging affected frequency in 13 counties/cities of Lixiahe region, waterlogging hazard rank of every county/city was assessed. Waterlogging affected frequency map and 1km×1km grid landuse map were used to assess waterlogging risk of pixel scale; and then waterlogging risk rank of every county/city was assessed by the similar method by which waterlogging hazard rank of every county/city was assessed. High risk region is located mainly in core zone of Lixiahe hinterland, medium risk region is adjacent to high risk region, and low risk region is located in the most outlying area of risk zone and mainly in south to middle part of Lixiahe region. Xinghua and Gaoyou belong to high risk city, Jiangyan belongs to medium risk city, and the other counties/cities have low or lower waterlogging risk. The method of assessing waterlogging risk in this paper is simple and applicable. This paper can provide guidance for the waterlogging risk analysis in broader area of Huaihe River Basin.
- Lixiahe region /
- waterlogging risk /
- AVHRR /
- MODIS /
- Jiangsu Province
Abstract: Four images of 1991 AVHRR, 2003 and 2007 MODIS were used to extract waterlogging inundated water of three years, and three inundated water maps were overlaid to estimate waterlogging affected frequency. Based on wa-terlogging affected frequency, waterlogging hazard of pixel scale was assessed. According to the weighed score of area percentage of different waterlogging affected frequency in 13 counties/cities of Lixiahe region, waterlogging hazard rank of every county/city was assessed. Waterlogging affected frequency map and 1km×1km grid landuse map were used to assess waterlogging risk of pixel scale; and then waterlogging risk rank of every county/city was assessed by the similar method by which waterlogging hazard rank of every county/city was assessed. High risk region is located mainly in core zone of Lixiahe hinterland, medium risk region is adjacent to high risk region, and low risk region is located in the most outlying area of risk zone and mainly in south to middle part of Lixiahe region. Xinghua and Gaoyou belong to high risk city, Jiangyan belongs to medium risk city, and the other counties/cities have low or lower waterlogging risk. The method of assessing waterlogging risk in this paper is simple and applicable. This paper can provide guidance for the waterlogging risk analysis in broader area of Huaihe River Basin.
- Lixiahe region /
- waterlogging risk /
- AVHRR /
- MODIS /
- Jiangsu Province

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Assessment of Waterlogging Risk in Lixiahe Region of Jiangsu Province Based on AVHRR and MODIS Image

doi: 10.1007/s11769-008-0178-2

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

2. Graduate University of the Chinese Academy of Sciences, Beijing 100049, China;

3. Huaihe River Commission, Ministry of Water Resources, P. R. China, Bengbu 233001, China

基金项目: Under the auspices of Ministry of Water Resources, P. R. China (No. [2001]29)

通讯作者: HUANG Dapeng. E-mail: dapenghuang@163.com

收稿日期: 2007-11-07
修回日期: 2008-03-12
刊出日期: 2008-06-20

关键词:

Lixiahe region /

waterlogging risk /

AVHRR /

MODIS /

Jiangsu Province

摘要: Four images of 1991 AVHRR, 2003 and 2007 MODIS were used to extract waterlogging inundated water of three years, and three inundated water maps were overlaid to estimate waterlogging affected frequency. Based on wa-terlogging affected frequency, waterlogging hazard of pixel scale was assessed. According to the weighed score of area percentage of different waterlogging affected frequency in 13 counties/cities of Lixiahe region, waterlogging hazard rank of every county/city was assessed. Waterlogging affected frequency map and 1km×1km grid landuse map were used to assess waterlogging risk of pixel scale; and then waterlogging risk rank of every county/city was assessed by the similar method by which waterlogging hazard rank of every county/city was assessed. High risk region is located mainly in core zone of Lixiahe hinterland, medium risk region is adjacent to high risk region, and low risk region is located in the most outlying area of risk zone and mainly in south to middle part of Lixiahe region. Xinghua and Gaoyou belong to high risk city, Jiangyan belongs to medium risk city, and the other counties/cities have low or lower waterlogging risk. The method of assessing waterlogging risk in this paper is simple and applicable. This paper can provide guidance for the waterlogging risk analysis in broader area of Huaihe River Basin.

English Abstract

Assessment of Waterlogging Risk in Lixiahe Region of Jiangsu Province Based on AVHRR and MODIS Image

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

2. Graduate University of the Chinese Academy of Sciences, Beijing 100049, China;

3. Huaihe River Commission, Ministry of Water Resources, P. R. China, Bengbu 233001, China

Received Date: 2007-11-07
Rev Recd Date: 2008-03-12
Publish Date: 2008-06-20

Keywords:

Abstract: Four images of 1991 AVHRR, 2003 and 2007 MODIS were used to extract waterlogging inundated water of three years, and three inundated water maps were overlaid to estimate waterlogging affected frequency. Based on wa-terlogging affected frequency, waterlogging hazard of pixel scale was assessed. According to the weighed score of area percentage of different waterlogging affected frequency in 13 counties/cities of Lixiahe region, waterlogging hazard rank of every county/city was assessed. Waterlogging affected frequency map and 1km×1km grid landuse map were used to assess waterlogging risk of pixel scale; and then waterlogging risk rank of every county/city was assessed by the similar method by which waterlogging hazard rank of every county/city was assessed. High risk region is located mainly in core zone of Lixiahe hinterland, medium risk region is adjacent to high risk region, and low risk region is located in the most outlying area of risk zone and mainly in south to middle part of Lixiahe region. Xinghua and Gaoyou belong to high risk city, Jiangyan belongs to medium risk city, and the other counties/cities have low or lower waterlogging risk. The method of assessing waterlogging risk in this paper is simple and applicable. This paper can provide guidance for the waterlogging risk analysis in broader area of Huaihe River Basin.

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Assessment of Waterlogging Risk in Lixiahe Region of Jiangsu Province Based on AVHRR and MODIS Image

doi: 10.1007/s11769-008-0178-2

通讯作者: HUANG Dapeng. E-mail: dapenghuang@163.com

Assessment of Waterlogging Risk in Lixiahe Region of Jiangsu Province Based on AVHRR and MODIS Image

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Assessment of Waterlogging Risk in Lixiahe Region of Jiangsu Province Based on AVHRR and MODIS Image

doi: 10.1007/s11769-008-0178-2

1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 2. Graduate University of the Chinese Academy of Sciences, Beijing 100049, China; 3. Huaihe River Commission, Ministry of Water Resources, P. R. China, Bengbu 233001, China

通讯作者: HUANG Dapeng. E-mail: dapenghuang@163.com

English Abstract

Assessment of Waterlogging Risk in Lixiahe Region of Jiangsu Province Based on AVHRR and MODIS Image

1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 2. Graduate University of the Chinese Academy of Sciences, Beijing 100049, China; 3. Huaihe River Commission, Ministry of Water Resources, P. R. China, Bengbu 233001, China

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目录

通讯作者:
HUANG Dapeng. E-mail: dapenghuang@163.com

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

2. Graduate University of the Chinese Academy of Sciences, Beijing 100049, China;

3. Huaihe River Commission, Ministry of Water Resources, P. R. China, Bengbu 233001, China

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

2. Graduate University of the Chinese Academy of Sciences, Beijing 100049, China;

3. Huaihe River Commission, Ministry of Water Resources, P. R. China, Bengbu 233001, China