• 中文核心期刊
  • CSCD来源期刊
  • 中国科技核心期刊
  • CA、CABI、ZR收录期刊

Message Board

Respected readers, authors and reviewers, you can add comments to this page on any questions about the contribution, review,        editing and publication of this journal. We will give you an answer as soon as possible. Thank you for your support!

Name
E-mail
Phone
Title
Content
Verification Code
Volume 32 Issue 9
Nov.  2017
Turn off MathJax
Article Contents
HE Yan-yan, NAN Ling, MA Xiao-ting. Evaluation and Prediction of Carbon Emissions on Land Uses in Shaanxi[J]. Fujian Journal of Agricultural Sciences, 2017, 32(9): 1034-1042. doi: 10.19303/j.issn.1008-0384.2017.09.020
Citation: HE Yan-yan, NAN Ling, MA Xiao-ting. Evaluation and Prediction of Carbon Emissions on Land Uses in Shaanxi[J]. Fujian Journal of Agricultural Sciences, 2017, 32(9): 1034-1042. doi: 10.19303/j.issn.1008-0384.2017.09.020

Evaluation and Prediction of Carbon Emissions on Land Uses in Shaanxi

doi: 10.19303/j.issn.1008-0384.2017.09.020
  • Received Date: 2017-06-08
  • Rev Recd Date: 2017-07-24
  • Publish Date: 2017-09-28
  • For environmental security, any extended land use may cause increases in carbon emissions and raise concerns. To provide a guidance for the sustainable future regional development, the stress-response model was applied to firstly establish an indexing system for analyzing the spatial and temporal carbon emissions associated with the land uses in Shaanxi. In the end, strategies to reduce air pollution could be made available for the province. The improved unbiased metabolism-GM (1, 1) model was used to project the situation for 2015 to 2025. The results showed that (1) from 2005 to 2015, the carbon emission security index increased at first, and then decreased, with the best state appeared in 2010; (2) the index was regional dependent, i.e., the highest in the southern Shaanxi followed by the central and the northern region a spatial clustering among the prefectures was evident; (3) most prefectures in the province faced a borderline or critical level on the security index challenged by various stress factors, but the response system seemed significantly improved; and, (4) the status from 2015 to 2025 was expected to continuously deteriorate as most prefectures remain in the critical or unsafe state with respect of carbon emission. It seemed imperative that appropriate measures be adopted starting from the relatively sensitive issues to safeguard the environment from serious carbon emissions in the province.
  • loading
  • [1]
    王晓霞. 陕西省土地利用碳排放效应及影响因素研究[D]. 咸阳: 西北农林科技大学, 2014.
    [2]
    荣培君, 杨群涛, 秦耀辰, 等.中国省域能源消耗碳排放安全评价[J].地理科学进展, 2016, 35(4):487-495. http://d.wanfangdata.com.cn/Periodical/dlkxjz201604009
    [3]
    李昊, 李世平, 银敏华.中国土地生态安全研究进展与展望[J].干旱区资源与环境, 2016, 30(9):50-56. http://d.wanfangdata.com.cn/Periodical/dlkxjz200605009
    [4]
    朱巧娴, 梅昀, 陈银蓉, 等.基于碳排放测算的湖北省土地利用结构效率的DEA模型分析与空间分异研究[J].经济地理, 2015, 35(12):176-184. http://d.wanfangdata.com.cn/Periodical/jjdl201512025
    [5]
    王桂波, 南灵.陕西省土地利用碳排放效应时空差异分析[J].资源与产业, 2012, 14(1):124-130. http://d.wanfangdata.com.cn/Periodical/zycy201201023
    [6]
    张苗, 甘臣林, 陈银蓉.基于SBM模型的土地集约利用碳排放效率分析与低碳优化[J].中国土地科学, 2016, 30(3):37-45. http://d.wanfangdata.com.cn/Periodical/zhonggtdkx201603005
    [7]
    冯杰, 王涛.中国土地利用碳排放演变与影响因素分析[J].软科学, 2016, 30(5):87-90. http://d.wanfangdata.com.cn/Periodical/rkx201605019
    [8]
    周峰. 上海市土地利用的碳排放效应及影响因素分析[D]. 合肥: 合肥工业大学, 2016.
    [9]
    张俊峰, 张安录, 董捷.武汉城市圈土地利用碳排放效应分析及因素分解研究[J].长江流域资源与环境, 2014, 23(5):595-602. http://d.wanfangdata.com.cn/Periodical/cjlyzyyhj201405001
    [10]
    YORK R. Demographic trends and energy consumption in European Union Nations, 1960-2025[J]. Social Science research, 2007, 36(3):855-872. doi: 10.1016/j.ssresearch.2006.06.007
    [11]
    冯杰, 王涛.中国土地利用碳排放演变与影响因素分析[J].软科学, 2016, 30(5):87-90. http://d.wanfangdata.com.cn/Periodical/rkx201605019
    [12]
    张勇, 张乐勤, 汪应宏, 等.安徽省池州市土地利用碳排放演变及其影响因素[J].中国农业大学学报, 2014, 19(2):216-223. http://d.wanfangdata.com.cn/Periodical/zgnydxxb201402032
    [13]
    RAPPORT D J, WHITFORD W G.How ecosystems respond to stress common properties of arid and aquatic systems[J].Bio Science, 1999, 49(3):193, 203.
    [14]
    范胜龙, 杨玉珍, 陈训争, 等.基于PSR和无偏GM(1, 1)模型的福建省耕地生态安全评价与预测[J].中国土地科学, 2016, 30(9):19-27.
    [15]
    谢花林, 刘曲, 姚冠荣, 等.基于PSR模型的区域土地利用可持续性水平测度:以鄱阳湖生态经济区为例[J].资源科学, 2015, 37(3):449-457.
    [16]
    陈慧, 付光辉.南京市土地资源安全SD法评价研究[J].资源科学, 2017, 39(5):846-859. http://d.wanfangdata.com.cn/Periodical/zykx201705005
    [17]
    刘思峰, 党耀国, 方志耕, 等.灰色系统理论及其应用[M].北京:科学出版社, 2010:146-168.
    [18]
    陈娟, 南灵.陕西省农地非农化生态系统服务价值损失评价[J].西南农业学报, 2013, 26(1):259-263. http://d.wanfangdata.com.cn/Periodical/xnnyxb201301054
    [19]
    田云, 张俊飚, 李波.中国农业碳排放研究:测算、时空比较及脱钩效应[J].资源科学, 2012, 34(11):2097-2105.
    [20]
    李春燕, 南灵.陕西省土地生态安全动态评价及障碍因子诊断[J].中国土地科学, 2015, 29(4):72-81. http://d.wanfangdata.com.cn/Periodical/zhonggtdkx201504010
    [21]
    程欢, 姚建, 明星, 等.等维动态递补灰色模型改进及应用研究[J].灌溉排水学报, 2016, 35(5):108-112. http://d.wanfangdata.com.cn/Periodical/ggps201605020
    [22]
    吉培荣, 黄巍松, 胡翔勇.无偏灰色预测模型[J].系统工程与电子技术, 2000, 22(6):6-7, 80. http://d.wanfangdata.com.cn/Periodical/xtgcydzjs200006002
    [23]
    曾小倩, 周新志.基于新陈代谢无偏灰色神经网络的水质预测模型[J].水电能源科学, 2012, 30(2):35-37.
    [24]
    宋国正.修正的优化无偏GM(1, 1)模型在瓦斯事故预测中的应用[J].工矿自动化, 2013, 39(7):50-53. doi: 10.7526/j.issn.1671-251X.2013.07.013
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(8)  / Tables(5)

    Article Metrics

    Article views (1263) PDF downloads(180) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return