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纸质出版日期： 2020-10-07 ，
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徐奔奔，范萌，陈良富，江涛，陶金花，程良晓，纪轩禹，武卫玲.2020.2013年—2017年主要农业区秸秆焚烧时空特征及影响因素分析.遥感学报，24（10）： 1221-1232
Xu B B，Fan M，Chen L F，Jiang T，Tao J H，Cheng L X，Ji X Y and Wu W L. 2020. Analysis of Temporal and Spatial Variations of Crop Residue Burning in China from 2013 to 2017. Journal of Remote Sensing（Chinese）， 24（10）：1221-1232［DOI：10.11834/jrs.20208357］
中国作为农业大国，每年面临大规模的露天秸秆焚烧现象，近十几年来，秸秆焚烧在突发和极端雾霾事件中发挥了显著的作用，导致大气能见度下降，危害人类健康。本文为探究中国“大气十条”实施第一阶段（2013年—2017年）以来中国秸秆焚烧时空变化情况，并探究秸秆禁烧政策对秸秆焚烧时空变化的影响，借助2013年—2017年Terra、Aqua卫星MODIS热异常产品，利用土地利用与覆盖变化数据，通过提取白天农田范围内的热异常点，获取全国范围秸秆焚烧结果，分析了2013年—2017年秸秆焚烧时空变化特征，并深入讨论了全国和区域禁烧政策对秸秆焚烧治理的影响，有助于为今后针对重点焚烧区制定相关政策提供科学依据。研究结果显示“大气十条”颁布之后5年期间全国秸秆焚烧年总量呈先增加后减小的总趋势，最低值2016年比最高值2014年降低34.48%，2017年较2013年秸秆焚烧数量减少的区域面积约为增加区域面积的2倍。秸秆焚烧治理成效最为显著的为河南省、安徽省和湖北省，其中，河南省在严格的禁烧政策、集中约谈、经济处罚、推广秸秆综合利用产业等多种措施共同影响下，2016-06和2016-10两个秸秆焚烧高峰期的秸秆焚烧数量分别较2015年同期下降86.66%和98.93%，且后期未出现反弹。黑龙江省虽然在一定程度上控制了秋季秸秆焚烧情况，但由于秸秆产量大且缺乏处理手段，会导致次年春季出现大规模反弹，并未从根本上解决秸秆焚烧控制问题。因此，除了进一步强化秸秆焚烧重点区域和重点时段禁烧措施，不断提高禁烧监管水平，还必须鼓励秸秆还田，秸秆能源化，提高秸秆综合利用率，“禁”“用”结合、因地制宜，形成管控秸秆焚烧的长效科学措施。
As a large agricultural country
China faces large-scale burning of crop stubble in the field during harvesting
post-harvesting
and pre-harvesting periods. In recent decades
Crop Residue Burning (CRB) played a noticeable role in the sudden and extreme haze episodes
which resulted in reducing atmospheric visibility and harming human health.
On the regional or global scale
satellite remote sensing technology can offer a reliable fire data source that can resolve the significant in situ data gap. In this study
the MODerate Resolution Imaging Spectroradiometer active fire products
MOD14/MYD14
were employed from 2013 to 2017. Land cover data were used to extract crop residue burning spots by selecting active fires over farmlands in the daytime.
Results showed that CRB spots were mainly distributed in the northeast
Sanjiang
Huang–Huai–Hai
middle-lower Yangtze
and Hetao plains
as well as Sichuan basin. As the largest contributor
the average annual CRB spot number in Northeast China reached 47.55% of that in China. From 2013 to 2017
the variation of the annual CRB spot number showed an “up-down-up” trend. The annual CRB spot number of China increased from 2013 to 2014
dramatically dropping from 2014 to 2016
and then slightly increased from 2016 to 2017. Compared with the figure of 2014
the total number of CRB spot in China in 2016 decreased by 34.48%. In the recent five years
the major regions over China with serious CRB were fixed because of rare changes in agricultural areas and activities. By calculating the differences in the annual CRB spot number between 2017 and 2013
the results indicated that the area of regions with negative difference was approximately two times of that with the positive difference. The regions with negative difference are in Henan and Anhui provinces
whereas the regions with negative difference are in Northeast China.
Official policies played a heavy role in inhibiting crop residue burning. Henan Province in the Huang–Huai–Hai region and Anhui and Hubei provinces in the mid-low reaches of Yangtze River region are three typical provinces whose decrease in CRB numbers was significantly influenced by prohibitions of straw burning. In Henan province
the CRB was not improved before 2015 due to the limitation of policy implementation. However
the monthly CRB numbers in June and October of 2016 declined to 86.66% and 98.93% in June and October of 2015
respectively. This effect can be attributed to the combination of CRB prohibition
accountability mechanism
economic punishment
and increasing use of crop residue. Heilongjiang Province shows negative feedback in the prohibitions of straw burning. Although the monthly CRB number in October 2016 decreased to 40.9% compared with that in October 2015
the monthly CRB number rebounded remarkably in April 2017 because of the large yield of crop residue and the lack of crop residue use. Therefore
further strengthening of prohibitions of straw burning in major regions and in post- and pre-harvesting periods is necessary. To enhance the comprehensive utilization rate of crop residue
a sustainable strategy on crop residue recycling should be expanded in most regions of China. Moreover
more attention should be given to turn disposable crop residue into farmland as a replacement for fertilizers. The policy of “banning” and “using” is a long-term effective measure to control CRB.
遥感中国MODISTerra/Aqua秸秆焚烧时空变化政策影响变化分析
remote sensingMODISTerra/Aquacrop residue burningspatio-temporal variationspolicy effectvariance analysisChina
Chen D M, Pereira J M C, Masiero A and Pirotti F. 2017. Mapping fire regimes in China using MODIS active fire and burned area data. Applied Geography, 85: 14-26 [DOI: 10.1016/j.apgeog.2017.05.013http://dx.doi.org/10.1016/j.apgeog.2017.05.013]
Chen Z X, Ren J Q, Tang H J, Shi Y, Leng P, Liu J, Wang L M, Wu W B, Yao Y M and Hasiyuya. 2016. Progress and perspectives on agricultural remote sensing research and applications in China. Journal of Remote Sensing, 20(5): 748-767
陈仲新, 任建强, 唐华俊, 史云, 冷佩, 刘佳, 王利民, 吴文斌, 姚艳敏, 哈斯图亚. 2016. 农业遥感研究应用进展与展望. 遥感学报, 20(5): 748-767 [DOI: 10.11834/jrs.20166214http://dx.doi.org/10.11834/jrs.20166214]
Giglio L. 2015. MODIS Collection 6 Active Fire Product User’s Guide, Revision A. University of Maryland
Li J, Bo Y and Xie S D. 2016. Estimating emissions from crop residue open burning in China based on statistics and MODIS fire products. Journal of Environmental Sciences, 44: 158-170 [DOI: 10.1016/j.jes.2015.08.024http://dx.doi.org/10.1016/j.jes.2015.08.024]
Liu J Y, Liu M L, Deng X Z, Zhuang D F, Zhang Z X and Luo D. 2002. The land use and land cover change database and its relative studies in China. Journal of Geographical Sciences, 12(3): 275-282 [DOI: 10.1007/BF02837545http://dx.doi.org/10.1007/BF02837545]
Matson M and Dozier J. 1981. Identification of subresolution high temperature sources using a thermal IR sensor. Photogrammetric Engineering and Remote Sensing, 47(9): 1311-1318
Mehmood K, Chang S C, Yu S C, Wang L Q, Li P F, Li Z, Liu W P, Rosenfeld D and Seinfeld J H. 2018. Spatial and temporal distributions of air pollutant emissions from open crop straw and biomass burnings in China from 2002 to 2016. Environmental Chemistry Letters, 16(1): 301-309 [DOI: 10.1007/s10311-017-0675-6http://dx.doi.org/10.1007/s10311-017-0675-6]
Wang Z F, Chen L F and Gu F X. 2008. Monitoring of crop residue burning in North China on the basis of MODIS data. Remote Sensing Technology and Application, 23(6): 611-617
王子峰, 陈良富, 顾行发. 2008. 基于MODIS数据的华北地区秸秆焚烧监测. 遥感技术与应用, 23(6): 611-617 [DOI: 10.11873/j.issn.1004-0323.2008.6.611http://dx.doi.org/10.11873/j.issn.1004-0323.2008.6.611]
Wei M G, Wang X Y and Xie G H. 2012. Field residue of field crops and its temporal distribution among thirty-one provinces of China. Journal of China Agricultural University, 17(6): 32-44
韦茂贵, 王晓玉, 谢光辉. 2012. 中国各省大田作物田间秸秆资源量及其时间分布. 中国农业大学学报, 17(6): 32-44
Wu X H, Liu T, Cheng Y Z, Wang L G, Guo Y, Zhang Y and He J. 2017. Dynamic monitoring of straw burned area using multi-source satellite remote sensing data. Transactions of the Chinese Society of Agricultural Engineering, 33(8): 153-159
武喜红, 刘婷, 程永政, 王来刚, 郭燕, 张彦, 贺佳. 2017. 多源卫星遥感秸秆焚烧过火面积动态监测. 农业工程学报, 33(8): 153-159 [DOI: 10.11975/j.issn.1002-6819.2017.08.021http://dx.doi.org/10.11975/j.issn.1002-6819.2017.08.021]
Xia X G, Zong X M and Sun L. 2013. Exceptionally active agricultural fire season in mid-eastern China in June 2012 and its impact on the atmospheric environment. Journal of Geophysical Research: Atmospheres, 118(17): 9889-9900 [DOI: 10.1002/jgrd.50770http://dx.doi.org/10.1002/jgrd.50770]
Xie H, Du L, Liu S C, Chen L, Gao S, Liu S, Pan H Y and Tong X H. 2016. Dynamic monitoring of agricultural fires in China from 2010 to 2014 using MODIS and globeland30 data. ISPRS International Journal of Geo-Information, 5(10): 172 [DOI: 10.3390/ijgi5100172http://dx.doi.org/10.3390/ijgi5100172]
Yin S, Wang X F, Xiao Y, Tani H, Zhong G S and Sun Z Y. 2017. Study on spatial distribution of crop residue burning and PM2.5change in China. Environmental Pollution, 220: 204-221 [DOI: 10.1016/j.envpol.2016.09.040http://dx.doi.org/10.1016/j.envpol.2016.09.040]
Zhang Y Y, Lu X B, Ren L and Sun J. 2011. Features of components of fine particles in air during the period of burning stalks. Environmental Monitoring and Forewarning, 3(5): 38-41
张予燕, 陆晓波, 任兰, 孙娟. 2011. 秸秆焚烧期间空气中细颗粒的组分特征. 环境监控与预警, 3(5): 38-41 [DOI: 10.3969/j.issn.1674-6732.2011.05.011http://dx.doi.org/10.3969/j.issn.1674-6732.2011.05.011]
Zhuang Y, Li R Y, Yang H, Chen D L, Chen Z Y, Gao B B and He B. 2018. Understanding temporal and spatial distribution of crop residue burning in China from 2003 to 2017 using MODIS data. Remote Sensing, 10(3): 390 [DOI: 10.3390/rs10030390http://dx.doi.org/10.3390/rs10030390]
Zou Z, Sha F, Cai Y, Chang Y H and Zhao Q B. 2015. Evolution of biomass burning on urban air quality: a case study of spring 2014 in Shanghai. Environmental Monitoring and Forewarning, 4(7): 4-8
邹忠, 沙斐, 蔡艳, 常运华, 赵倩彪. 2015. 2014年春季上海典型生物质燃烧污染过程分析. 环境监控与预警, 4(7): 4-8 [DOI: 10.3969/j.issn.1674-6732.2015.04.002http://dx.doi.org/10.3969/j.issn.1674-6732.2015.04.002]
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