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Trend analysis of variations in carbon stock using stock big data

机译:库存大数据碳股差异趋势分析

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摘要

Changes in land use affect the terrestrial carbon stock through changes in the land cover. Research on land use and analysis of variations in carbon stock have practical applications in the optimization of land use and the mitigation of climate change effects. This study was conducted in Baixiang and Julu counties in the Taihang Piedmont by employing the trend analysis method to characterize the variation in county land use and carbon stock. The findings show that in both counties, agricultural and unused land areas decreased while built-up land area increased, and the reduction in cropland was the main reason behind the agricultural land reduction. An inflection point appeared on the cropland curves of Julu, because the cropland area decreased by 1576.97 hm from 2004 to 2006. Cropland area in Baixiang decreased from 1996 to 1998 by a total of 129.89 hm and then remained relatively stable after 1998. The total carbon storage and variation in land use in the two counties displayed similar trends. Total carbon reserves in Julu increased by 2.76 10 tC (carbon equivalent), while those in Baixiang decreased by 0.63 10 tC. Carbon stock of built-up land in Julu and Baixiang increased by 2.44 10 and 1.22 10 tC, respectively.
机译:土地使用的变化通过陆地覆盖的变化影响陆地碳储备。土地利用研究及分析碳股的变化具有实际应用在土地利用优化和气候变化效应的缓解中。本研究通过采用趋势分析方法在太行皮埃蒙特的白翔和朱鲁县进行,以表征县土地利用和碳股的变化。调查结果表明,在县,农业和未使用的土地面积在建成土地面积增加时减少,农田减少是农业土地减少背后的主要原因。在朱鲁的农田曲线上出现了拐点,因为2004年至2006年的农田面积减少了1576.97千米。百翔的农田地区从1996年到1998年减少了129.89 HM,然后在1998年后仍然相对稳定。总碳两县土地使用的储存和变化显示了类似的趋势。朱卢的总碳储量增加了2.76 10吨(碳当量),而白兴人则减少0.63 10吨。朱鲁和白翔的建筑土地碳股份分别增加了2.44 10和1.22 10 Tc。

著录项

  • 来源
    《Cluster computing》 |2017年第2期|共17页
  • 作者单位

    Hebei Univ Econ &

    Business Coll Management Sci &

    Engn Shijiazhuang 050061 Peoples R China;

    Minist Land &

    Resources Land Consolidat &

    Rehabil Ctr Beijing 100035 Peoples R China;

    Shijiazhuang Engn &

    Technol Sch Shijiazhuang 050061 Peoples R China;

    Chinese Acad Sci Inst Remote Sensing &

    Digital Earth State Key Lab Remote Sensing Sci Beijing 100094 Peoples R China;

    Chinese Acad Sci Inst Remote Sensing &

    Digital Earth State Key Lab Remote Sensing Sci Beijing 100094 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分子生物学;
  • 关键词

    Land use; Carbon stock; Trend analysis; Big data;

    机译:土地使用;碳股;趋势分析;大数据;

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