神东矿区煤炭开采对植被净初级生产力的影响

X171; 神东矿区煤炭开采对当地生态环境,特别是植被生长,产生了重要影响.为了定量描述这种影响,该研究利用区域蒸散模型,计算神东矿区潜在净初级生产力(Potential Net Primary Productivity,PNP,p),并利用MODIS17A3数据集(2001-2022年)表征实际净初级生产力(Actual Net Primary Pro-ductivity,PNP,a),同时结合中国陆地生态系统逐月净初级生产力栅格数据集(PNP,al,1988-2015年),采用地理加权回归(Geographically weighted regression,GWR)模型构建校正方法,对P...

Full description

Saved in:
Bibliographic Details
Published in煤炭科学技术 Vol. 52; no. 7; pp. 267 - 277
Main Authors 牛鸿波, 田少国, 祖鹏举, 曹满红, 曲少东, 董起广, 李冰倩, 姜泽玉, 毕银丽, 岳辉
Format Journal Article
LanguageChinese
Published 西安科技大学西部矿山生态环境修复研究院,陕西西安 710054%西安科技大学测绘科学与技术学院,陕西西安 710054 2024
陕西省煤层气开发利用有限公司,陕西西安 710119%陕西生态产业有限公司,陕西西安 710061%西安科技大学地质与环境学院,陕西西安 710054
西安科技大学西部矿山生态环境修复研究院,陕西西安 710054
Subjects
Online AccessGet full text
ISSN0253-2336
DOI10.12438/cst.2023-1026

Cover

Abstract X171; 神东矿区煤炭开采对当地生态环境,特别是植被生长,产生了重要影响.为了定量描述这种影响,该研究利用区域蒸散模型,计算神东矿区潜在净初级生产力(Potential Net Primary Productivity,PNP,p),并利用MODIS17A3数据集(2001-2022年)表征实际净初级生产力(Actual Net Primary Pro-ductivity,PNP,a),同时结合中国陆地生态系统逐月净初级生产力栅格数据集(PNP,al,1988-2015年),采用地理加权回归(Geographically weighted regression,GWR)模型构建校正方法,对PNP,al进行校正获取 1988-2000年的PNP,a数据,以二者之差(Human Net Primary Productivity)PNP,h表征煤炭开采的影响,评估了神东矿区煤炭开采对植被PNP的影响.结果表明:①利用GWR模型校正的PNP,al数据精度约为 0.76,校正后的PNP,al数据与MODIS17A3数据集具有较强的空间相关性,说明了校正模型精度的可靠性;②神东矿区的整体上PNP,a和PNP,h表现为先下降后逐渐恢复的趋势,但植被净初级生产力(Net Primary Productivity,PNP)并未恢复至采矿前水平.采矿前PNP,h均值和采矿后PNP,h均值分别为 21.50 g/m2、-60.20 g/m2,PNP,h<0表明矿区PNP植被生长受到采矿活动的干扰,发生退化的矿井主要分布在高强度开采区域(以C计,下同);③1996-2022年神东矿区PNP值的变化主要受气候变化和人类活动的共同影响,人类活动和气候变化对生态退化的占比分别为 35.7%、8.2%,1996-2015年人类活动贡献率指数(Relative Contribution Index,IRC)主要集中在 0.5左右,表明煤炭开采对植被退化占主导作用,2016年后光伏电站建设对PNP的影响表现出促进作用.该研究有助于理解煤炭开采对植被净初级生产力动态变化的影响,并为神东矿区的植被恢复和高质量发展提供科学依据.
AbstractList X171; 神东矿区煤炭开采对当地生态环境,特别是植被生长,产生了重要影响.为了定量描述这种影响,该研究利用区域蒸散模型,计算神东矿区潜在净初级生产力(Potential Net Primary Productivity,PNP,p),并利用MODIS17A3数据集(2001-2022年)表征实际净初级生产力(Actual Net Primary Pro-ductivity,PNP,a),同时结合中国陆地生态系统逐月净初级生产力栅格数据集(PNP,al,1988-2015年),采用地理加权回归(Geographically weighted regression,GWR)模型构建校正方法,对PNP,al进行校正获取 1988-2000年的PNP,a数据,以二者之差(Human Net Primary Productivity)PNP,h表征煤炭开采的影响,评估了神东矿区煤炭开采对植被PNP的影响.结果表明:①利用GWR模型校正的PNP,al数据精度约为 0.76,校正后的PNP,al数据与MODIS17A3数据集具有较强的空间相关性,说明了校正模型精度的可靠性;②神东矿区的整体上PNP,a和PNP,h表现为先下降后逐渐恢复的趋势,但植被净初级生产力(Net Primary Productivity,PNP)并未恢复至采矿前水平.采矿前PNP,h均值和采矿后PNP,h均值分别为 21.50 g/m2、-60.20 g/m2,PNP,h<0表明矿区PNP植被生长受到采矿活动的干扰,发生退化的矿井主要分布在高强度开采区域(以C计,下同);③1996-2022年神东矿区PNP值的变化主要受气候变化和人类活动的共同影响,人类活动和气候变化对生态退化的占比分别为 35.7%、8.2%,1996-2015年人类活动贡献率指数(Relative Contribution Index,IRC)主要集中在 0.5左右,表明煤炭开采对植被退化占主导作用,2016年后光伏电站建设对PNP的影响表现出促进作用.该研究有助于理解煤炭开采对植被净初级生产力动态变化的影响,并为神东矿区的植被恢复和高质量发展提供科学依据.
Abstract_FL Coal mining in Shendong Mining area has an important impact on the local ecological environment,especially the growth of ve-getation.In order to describe this effect quantitatively,this study uses a regional evapotranspiration model to calculate the Potential Net Primary Productivity(PNP,p)of the Shendong mining area.MODIS17A3 dataset(2001-2022)was used to characterize the Actual Net Primary Productivity(PNP,a),and combined with the monthly net primary productivity raster dataset of terrestrial ecosystems in China(PNP,al,1988-2015),using GWR model construction correction method to correct PNP,al to obtain 1988-2000 PNP,a data,and using the dif-ference between the two PNP,h to characterize the impact of coal mining.The effect of coal mining on vegetation PNP in Shendong mining area was evaluated.The results show that:①the accuracy of PNP,al data corrected by GWR model is about 0.76,and the corrected PNP,al data has a strong spatial correlation with the MODIS17A3 dataset,which indicates the reliability of the accuracy of the corrected model;②The overall PNP,a and PNP,h of Shendong mining area showed a trend of decreasing first and then recovering gradually,but the PNP of vegetation did not recover to the pre-mining level.The mean values of PNP,h before mining and PNP,h after mining are 21.50 g/m2 and-60.20 g/m2,re-spectively.PNP,h<0 indicates that PNP vegetation growth in mining areas is disturbed by mining activities,and the degraded mines are mainly distributed in high-intensity mining areas(calculated in C,the same below).③The change of PNP value in Shendong mining area from 1996 to 2022 is mainly influenced by climate change and human activities.The proportion of human activities and climate change to ecological degradation is 35.7%and 8.2%,respectively.The IRC from 1996 to 2015 is mainly about 0.5,indicating that coal mining plays a leading role in vegetation degradation.After 2016,the impact of photovoltaic power plant construction on PNP showed a promoting ef-fect.This study is helpful to understand the impact of coal mining on the dynamic change of net primary productivity of vegetation,and provides scientific basis for vegetation restoration and high-quality development in Shendong mining area.
Author 曲少东
姜泽玉
董起广
李冰倩
曹满红
毕银丽
岳辉
牛鸿波
田少国
祖鹏举
AuthorAffiliation 陕西省煤层气开发利用有限公司,陕西西安 710119%陕西生态产业有限公司,陕西西安 710061%西安科技大学地质与环境学院,陕西西安 710054;西安科技大学西部矿山生态环境修复研究院,陕西西安 710054%西安科技大学测绘科学与技术学院,陕西西安 710054;西安科技大学西部矿山生态环境修复研究院,陕西西安 710054
AuthorAffiliation_xml – name: 陕西省煤层气开发利用有限公司,陕西西安 710119%陕西生态产业有限公司,陕西西安 710061%西安科技大学地质与环境学院,陕西西安 710054;西安科技大学西部矿山生态环境修复研究院,陕西西安 710054%西安科技大学测绘科学与技术学院,陕西西安 710054;西安科技大学西部矿山生态环境修复研究院,陕西西安 710054
Author_FL CAO Manhong
DONG Qiguang
BI Yinli
YUE Hui
JIANG Zeyu
QU Shaodong
LI Bingqian
TIAN Shaoguo
ZU Pengju
NIU Hongbo
Author_FL_xml – sequence: 1
  fullname: NIU Hongbo
– sequence: 2
  fullname: TIAN Shaoguo
– sequence: 3
  fullname: ZU Pengju
– sequence: 4
  fullname: CAO Manhong
– sequence: 5
  fullname: QU Shaodong
– sequence: 6
  fullname: DONG Qiguang
– sequence: 7
  fullname: LI Bingqian
– sequence: 8
  fullname: JIANG Zeyu
– sequence: 9
  fullname: BI Yinli
– sequence: 10
  fullname: YUE Hui
Author_xml – sequence: 1
  fullname: 牛鸿波
– sequence: 2
  fullname: 田少国
– sequence: 3
  fullname: 祖鹏举
– sequence: 4
  fullname: 曹满红
– sequence: 5
  fullname: 曲少东
– sequence: 6
  fullname: 董起广
– sequence: 7
  fullname: 李冰倩
– sequence: 8
  fullname: 姜泽玉
– sequence: 9
  fullname: 毕银丽
– sequence: 10
  fullname: 岳辉
BookMark eNotj7tKA0EYRqeIYIxpfQWrjfPPPzO7CzYSvEHARuswyc6KUTfgRLQMoqwEU2nlLSCRFCJip4viy2QcfQtXtDrdd74zRQpJO9GEzACtAOMYzDVNp8IoQw8okwVSpEygxxDlJCkbs9WgAtDnQGWRzLv72_HLtRt82LPMnQzd0aN9636nqX16_Rz2v-4ebNq1pzcuG7mLwTgb2d6Vuzy278_2vD9NJmK1Y3T5nyWysbS4Xl3xamvLq9WFmmfyA8JjnAsJLAh0SHkISnBNZSTjIPAlhihFEKMPNAatpNAs8pVsAlBshDpkgBGWyOzf7oFKYpVs1lvt_b0kN9Z3O9uHLZO3cur_Vv4AuNVemA
ClassificationCodes X171
ContentType Journal Article
Copyright Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
Copyright_xml – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
DBID 2B.
4A8
92I
93N
PSX
TCJ
DOI 10.12438/cst.2023-1026
DatabaseName Wanfang Data Journals - Hong Kong
WANFANG Data Centre
Wanfang Data Journals
万方数据期刊 - 香港版
China Online Journals (COJ)
China Online Journals (COJ)
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
DocumentTitle_FL Effect of coal mining on net primary productivity of vegetation in Shendong Mining Area
EndPage 277
ExternalDocumentID mtkxjs202407025
GrantInformation_xml – fundername: 陕西煤业化工集团科研资助项目
  funderid: (2022SMHKJ-B-J-54)
GroupedDBID -02
2B.
4A8
5XA
5XC
92H
92I
93N
ABJNI
ACGFS
ALMA_UNASSIGNED_HOLDINGS
CCEZO
CDRFL
CW9
GROUPED_DOAJ
PSX
TCJ
TGT
U1G
U5L
ID FETCH-LOGICAL-s1025-244561288e90491a54e06d6f8876393658f3710f1ea65e2d7a6c1103b9e9213d3
ISSN 0253-2336
IngestDate Thu May 29 04:07:34 EDT 2025
IsPeerReviewed false
IsScholarly true
Issue 7
Keywords 地理加权回归模型
net primary productivity
mining activities
ecological environment in mining areas
contribution rate index
净初级生产力
光伏环境效应
environmental effects of solar panel
矿区生态环境
geographically weighted regression model
煤炭开采
贡献率指数
Language Chinese
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-s1025-244561288e90491a54e06d6f8876393658f3710f1ea65e2d7a6c1103b9e9213d3
PageCount 11
ParticipantIDs wanfang_journals_mtkxjs202407025
PublicationCentury 2000
PublicationDate 2024
PublicationDateYYYYMMDD 2024-01-01
PublicationDate_xml – year: 2024
  text: 2024
PublicationDecade 2020
PublicationTitle 煤炭科学技术
PublicationTitle_FL Coal Science and Technology
PublicationYear 2024
Publisher 西安科技大学西部矿山生态环境修复研究院,陕西西安 710054%西安科技大学测绘科学与技术学院,陕西西安 710054
陕西省煤层气开发利用有限公司,陕西西安 710119%陕西生态产业有限公司,陕西西安 710061%西安科技大学地质与环境学院,陕西西安 710054
西安科技大学西部矿山生态环境修复研究院,陕西西安 710054
Publisher_xml – name: 西安科技大学西部矿山生态环境修复研究院,陕西西安 710054
– name: 西安科技大学西部矿山生态环境修复研究院,陕西西安 710054%西安科技大学测绘科学与技术学院,陕西西安 710054
– name: 陕西省煤层气开发利用有限公司,陕西西安 710119%陕西生态产业有限公司,陕西西安 710061%西安科技大学地质与环境学院,陕西西安 710054
SSID ssib051374106
ssj0037581
ssib001105251
ssib012291398
ssib036204842
Score 2.3697083
Snippet X171; 神东矿区煤炭开采对当地生态环境,特别是植被生长,产生了重要影响.为了定量描述这种影响,该研究利用区域蒸散模型,计算神东矿区潜在净初级生产力(Potential Net...
SourceID wanfang
SourceType Aggregation Database
StartPage 267
Title 神东矿区煤炭开采对植被净初级生产力的影响
URI https://d.wanfangdata.com.cn/periodical/mtkxjs202407025
Volume 52
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  issn: 0253-2336
  databaseCode: DOA
  dateStart: 20210101
  customDbUrl:
  isFulltext: true
  dateEnd: 99991231
  titleUrlDefault: https://www.doaj.org/
  omitProxy: true
  ssIdentifier: ssj0037581
  providerName: Directory of Open Access Journals
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR1NaxQxdKj1ogfxE7_pwZxkdCeZZBLwkuzOUgQ9tdBbmZmdVZSu4G5BeiqiVMSe9ORXQSo9iIg3LYp_puPov_C9zHSafoBaWEI28_I-Q5IXkvc871JL9GBkpNTv9yX3w14v8RUslH4aJBFPshbL7DvuGzfF5HR4fYbPjI0vO7eW5kfplWxhz3cl-7EqtIFd8ZXsf1i2QQoNUAf7QgkWhvKfbEziiGhOVEzikBhJVBtbVJeYLok5kW1iNLZITnRoK5ToDn4ybbziECsiI_xBi4ZeisQCISXASKIB2Fg8kQWGCpDoIB5AqyNLK0RySL1qARhNlLGfNJGhpdUhJsCKYoDZ3Q3vxVuEeJSFh79aIEuAExkQKKBuriLbTspSUyg9Ci2IYcC4CwIsGss9lBVe6GE6LgjqUFgsoJBurUwTb4EI28eqxxiig00dUPfQhG4dl1r18doMOkY2twRr5LGSV1qrRW16AR8gh9xmTlCiCRylC0QibYuM0X6Ih2JHFKCLdCsSslJrCztiBeS00iqF8LRd1xV3GNjJ_2WMz8RDQvl-ZQPVweiwQwN0qORepraKB2F22dyB2RffznpHOfMpq-LhbC7OnDqTUOSutFUWl3rTRqtcQLv2AzS04f-zIV6bpngLk-4IvG63cnOjuw_uDHGgwApI-QHvIMXjPeeExnoXASZ9bJbDgFKMqdssXwxTO8iw8RZ4wGC7jpcYqo0hA9fcJvDclLOOIYs8Xt3GoX1AOOgng1vOXnfqqHekdlIndDXjHPPGFm4f9w47oUtPeNfK9283vrwuV34Uz9bLx6vlw4_Ft8XfS0vFp68_V5d_vftQLC0WT96U62vli5WN9bXi6avy5aPi--fi-fJJb7obT7Un_ToTiz8MMN81-ACYRVfKXLVCFSQ8zGGSF32J8SwVAy-mz8Cc_SBPBM9pL0pEBtpiqcoVDViPnfLGB_cG-WlvgspM9ZTgQQ901UrSJEwUzVkWpoEAfyM7403Uss_WM-1wdod5zv4d5Jx3COvVWel5b3x0fz6_AN7DKL1obfoHm9PFhA
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E7%A5%9E%E4%B8%9C%E7%9F%BF%E5%8C%BA%E7%85%A4%E7%82%AD%E5%BC%80%E9%87%87%E5%AF%B9%E6%A4%8D%E8%A2%AB%E5%87%80%E5%88%9D%E7%BA%A7%E7%94%9F%E4%BA%A7%E5%8A%9B%E7%9A%84%E5%BD%B1%E5%93%8D&rft.jtitle=%E7%85%A4%E7%82%AD%E7%A7%91%E5%AD%A6%E6%8A%80%E6%9C%AF&rft.au=%E7%89%9B%E9%B8%BF%E6%B3%A2&rft.au=%E7%94%B0%E5%B0%91%E5%9B%BD&rft.au=%E7%A5%96%E9%B9%8F%E4%B8%BE&rft.au=%E6%9B%B9%E6%BB%A1%E7%BA%A2&rft.date=2024&rft.pub=%E8%A5%BF%E5%AE%89%E7%A7%91%E6%8A%80%E5%A4%A7%E5%AD%A6%E8%A5%BF%E9%83%A8%E7%9F%BF%E5%B1%B1%E7%94%9F%E6%80%81%E7%8E%AF%E5%A2%83%E4%BF%AE%E5%A4%8D%E7%A0%94%E7%A9%B6%E9%99%A2%2C%E9%99%95%E8%A5%BF%E8%A5%BF%E5%AE%89+710054%25%E8%A5%BF%E5%AE%89%E7%A7%91%E6%8A%80%E5%A4%A7%E5%AD%A6%E6%B5%8B%E7%BB%98%E7%A7%91%E5%AD%A6%E4%B8%8E%E6%8A%80%E6%9C%AF%E5%AD%A6%E9%99%A2%2C%E9%99%95%E8%A5%BF%E8%A5%BF%E5%AE%89+710054&rft.issn=0253-2336&rft.volume=52&rft.issue=7&rft.spage=267&rft.epage=277&rft_id=info:doi/10.12438%2Fcst.2023-1026&rft.externalDocID=mtkxjs202407025
thumbnail_s http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fmtkxjs%2Fmtkxjs.jpg