Research on the Temporal and Spatial Distribution Characteristics of Thermal Anomalies in Henan Province from 2008 to 2019
Using MODIS standard products, the temporal and spatial distribution characteristics of thermal anomalies in Henan Province in the past 12 years (2008~2019) were studied. The results found that in terms of spatial distribution, thermal anomalies were mostly concentrated in Luohe, Zhumadian, Pingding...
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2021-01-01
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doaj-1f874240b5894480ba90dd27eff244442021-05-04T12:18:37ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012520302610.1051/e3sconf/202125203026e3sconf_pgsge2021_03026Research on the Temporal and Spatial Distribution Characteristics of Thermal Anomalies in Henan Province from 2008 to 2019Ge Qiang0Shen Wenju1Li Shenshen2Cai Kun3Computer and Information Engineering College, Henan UniversityComputer and Information Engineering College, Henan UniversityState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of SciencesComputer and Information Engineering College, Henan UniversityUsing MODIS standard products, the temporal and spatial distribution characteristics of thermal anomalies in Henan Province in the past 12 years (2008~2019) were studied. The results found that in terms of spatial distribution, thermal anomalies were mostly concentrated in Luohe, Zhumadian, Pingdingshan, Puyang, and Shangqiu. The number of areas under the jurisdiction of Anyang, Hebi, Nanyang and Xinyang is relatively high. On the inter-annual trend, the number of thermal anomalies continued to increase from 2009 to 2013, with an average annual growth rate of 28.3%, and a continuous decline from 2013 to 2018. The decline rate was 18.4%, during which the number reached a peak of 5,843 in 2013. In terms of seasonal changes, the number of summer thermal anomalies is the largest, at 25,361, and thermal anomalies of summer are mostly concentrated in most areas of Zhumadian, Pingdingshan, Puyang and Shangqiu; the number of thermal anomalies in winter is the least, 3974, which are relatively mostly distributed in the mountainous areas of Nanyang and Xinyang. This study helps to understand the forest fires in typical areas in Henan Province, as well as heat caused by straw burning, industrial emissions, etc. Thermal anomalies changes provide technical support for regional disaster prevention and environmental monitoring.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/28/e3sconf_pgsge2021_03026.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ge Qiang Shen Wenju Li Shenshen Cai Kun |
spellingShingle |
Ge Qiang Shen Wenju Li Shenshen Cai Kun Research on the Temporal and Spatial Distribution Characteristics of Thermal Anomalies in Henan Province from 2008 to 2019 E3S Web of Conferences |
author_facet |
Ge Qiang Shen Wenju Li Shenshen Cai Kun |
author_sort |
Ge Qiang |
title |
Research on the Temporal and Spatial Distribution Characteristics of Thermal Anomalies in Henan Province from 2008 to 2019 |
title_short |
Research on the Temporal and Spatial Distribution Characteristics of Thermal Anomalies in Henan Province from 2008 to 2019 |
title_full |
Research on the Temporal and Spatial Distribution Characteristics of Thermal Anomalies in Henan Province from 2008 to 2019 |
title_fullStr |
Research on the Temporal and Spatial Distribution Characteristics of Thermal Anomalies in Henan Province from 2008 to 2019 |
title_full_unstemmed |
Research on the Temporal and Spatial Distribution Characteristics of Thermal Anomalies in Henan Province from 2008 to 2019 |
title_sort |
research on the temporal and spatial distribution characteristics of thermal anomalies in henan province from 2008 to 2019 |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2021-01-01 |
description |
Using MODIS standard products, the temporal and spatial distribution characteristics of thermal anomalies in Henan Province in the past 12 years (2008~2019) were studied. The results found that in terms of spatial distribution, thermal anomalies were mostly concentrated in Luohe, Zhumadian, Pingdingshan, Puyang, and Shangqiu. The number of areas under the jurisdiction of Anyang, Hebi, Nanyang and Xinyang is relatively high. On the inter-annual trend, the number of thermal anomalies continued to increase from 2009 to 2013, with an average annual growth rate of 28.3%, and a continuous decline from 2013 to 2018. The decline rate was 18.4%, during which the number reached a peak of 5,843 in 2013. In terms of seasonal changes, the number of summer thermal anomalies is the largest, at 25,361, and thermal anomalies of summer are mostly concentrated in most areas of Zhumadian, Pingdingshan, Puyang and Shangqiu; the number of thermal anomalies in winter is the least, 3974, which are relatively mostly distributed in the mountainous areas of Nanyang and Xinyang. This study helps to understand the forest fires in typical areas in Henan Province, as well as heat caused by straw burning, industrial emissions, etc. Thermal anomalies changes provide technical support for regional disaster prevention and environmental monitoring. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/28/e3sconf_pgsge2021_03026.pdf |
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