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Remote sensing inversion and spatial variation of land surface temperature over mining areas of Jixi, Heilongjiang, China
BACKGROUND: Jixi is a typical mining city in China that has undergone dramatic changes in its land-use pattern of mining areas over the development of its coal resources. The impacts of coal mining activities have greatly affected the regional land surface temperature and ecological system. METHODS:...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698694/ https://www.ncbi.nlm.nih.gov/pubmed/33304647 http://dx.doi.org/10.7717/peerj.10257 |
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author | Cao, Jia-shuo Deng, Zheng-yu Li, Wen Hu, Yuan-dong |
author_facet | Cao, Jia-shuo Deng, Zheng-yu Li, Wen Hu, Yuan-dong |
author_sort | Cao, Jia-shuo |
collection | PubMed |
description | BACKGROUND: Jixi is a typical mining city in China that has undergone dramatic changes in its land-use pattern of mining areas over the development of its coal resources. The impacts of coal mining activities have greatly affected the regional land surface temperature and ecological system. METHODS: The Landsat 8 Operational Land Imager (OLI) data from 2015 and 2019 were used from the Jiguan, Didao, and Chengzihe District of Jixi in Heilongjiang, China as the study area. The calculations to determine the land-use classification, vegetation coverage, and land surface temperature (LST) were performed using ArcGIS10.5 and ENVI 5.3 software packages. A correlation analysis revealed the impact of land-use type, vegetation coverage, and coal mining activities on LSTs. RESULTS: The results show significant spatial differentiation in the LSTs of Jixi City. The LSTs for various land-use types were ranked from high to low as follows: mining land > construction land > grassland > cultivated land > forest land > water area. The LST was lower in areas with high vegetation coverage than in other areas. For every 0.1 increase in vegetation coverage, the LST is expected to drop by approximately 0.75 °C. An analysis of mining land patches indicates that the patch area of mining lands has a significant positive correlation with both the average and maximum patch temperatures. The average patch temperature shows a logarithmic increase with the growth of the patch area, and within 200,000 m(2), the average patch temperature increases significantly. The maximum patch temperature shows a linear increase with the patch area growth, and for every 100,000 m(2) increase in the patch area of mining lands, the maximum patch temperature increases by approximately 0.81 °C. The higher the average patch temperature of mining land, the higher the temperature in its buffer zone, and the greater its influence scope. This study provides a useful reference for exploring the warming effects caused by coal mining activities and the definition of its influence scope. |
format | Online Article Text |
id | pubmed-7698694 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76986942020-12-09 Remote sensing inversion and spatial variation of land surface temperature over mining areas of Jixi, Heilongjiang, China Cao, Jia-shuo Deng, Zheng-yu Li, Wen Hu, Yuan-dong PeerJ Coupled Natural and Human Systems BACKGROUND: Jixi is a typical mining city in China that has undergone dramatic changes in its land-use pattern of mining areas over the development of its coal resources. The impacts of coal mining activities have greatly affected the regional land surface temperature and ecological system. METHODS: The Landsat 8 Operational Land Imager (OLI) data from 2015 and 2019 were used from the Jiguan, Didao, and Chengzihe District of Jixi in Heilongjiang, China as the study area. The calculations to determine the land-use classification, vegetation coverage, and land surface temperature (LST) were performed using ArcGIS10.5 and ENVI 5.3 software packages. A correlation analysis revealed the impact of land-use type, vegetation coverage, and coal mining activities on LSTs. RESULTS: The results show significant spatial differentiation in the LSTs of Jixi City. The LSTs for various land-use types were ranked from high to low as follows: mining land > construction land > grassland > cultivated land > forest land > water area. The LST was lower in areas with high vegetation coverage than in other areas. For every 0.1 increase in vegetation coverage, the LST is expected to drop by approximately 0.75 °C. An analysis of mining land patches indicates that the patch area of mining lands has a significant positive correlation with both the average and maximum patch temperatures. The average patch temperature shows a logarithmic increase with the growth of the patch area, and within 200,000 m(2), the average patch temperature increases significantly. The maximum patch temperature shows a linear increase with the patch area growth, and for every 100,000 m(2) increase in the patch area of mining lands, the maximum patch temperature increases by approximately 0.81 °C. The higher the average patch temperature of mining land, the higher the temperature in its buffer zone, and the greater its influence scope. This study provides a useful reference for exploring the warming effects caused by coal mining activities and the definition of its influence scope. PeerJ Inc. 2020-11-25 /pmc/articles/PMC7698694/ /pubmed/33304647 http://dx.doi.org/10.7717/peerj.10257 Text en ©2020 Cao et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Coupled Natural and Human Systems Cao, Jia-shuo Deng, Zheng-yu Li, Wen Hu, Yuan-dong Remote sensing inversion and spatial variation of land surface temperature over mining areas of Jixi, Heilongjiang, China |
title | Remote sensing inversion and spatial variation of land surface temperature over mining areas of Jixi, Heilongjiang, China |
title_full | Remote sensing inversion and spatial variation of land surface temperature over mining areas of Jixi, Heilongjiang, China |
title_fullStr | Remote sensing inversion and spatial variation of land surface temperature over mining areas of Jixi, Heilongjiang, China |
title_full_unstemmed | Remote sensing inversion and spatial variation of land surface temperature over mining areas of Jixi, Heilongjiang, China |
title_short | Remote sensing inversion and spatial variation of land surface temperature over mining areas of Jixi, Heilongjiang, China |
title_sort | remote sensing inversion and spatial variation of land surface temperature over mining areas of jixi, heilongjiang, china |
topic | Coupled Natural and Human Systems |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698694/ https://www.ncbi.nlm.nih.gov/pubmed/33304647 http://dx.doi.org/10.7717/peerj.10257 |
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