發(fā)布時(shí)間：2018-05-02 11:58

  本文選題：秸稈焚燒 + 火點(diǎn)提取�。� 參考：《電子科技大學(xué)》2017年碩士論文

【摘要】：每年夏秋收獲時(shí)期,中國(guó)農(nóng)業(yè)大省的有關(guān)政府部門(mén)都會(huì)采取多種措施監(jiān)測(cè)并嚴(yán)懲秸稈焚燒行為。利用衛(wèi)星遙感技術(shù)監(jiān)測(cè)秸稈焚燒可以彌補(bǔ)傳統(tǒng)人工方法的不足,提高監(jiān)測(cè)效率并降低成本。本文在總結(jié)國(guó)內(nèi)外遙感探火的理論方法及實(shí)例應(yīng)用的基礎(chǔ)上,綜合利用多源衛(wèi)星數(shù)據(jù)和其他輔助數(shù)據(jù)展開(kāi)河南省2015年秋收時(shí)期的秸稈焚燒監(jiān)測(cè)研究。本文研究?jī)?nèi)容如下:(1)秸稈焚燒火點(diǎn)提取方法研究。首先結(jié)合風(fēng)云三號(hào)MERSI(Medium Resolution Spectral Imager)影像和美國(guó)陸地衛(wèi)星八號(hào)星OLI(Operational Land Imager)影像等,采用監(jiān)督分類(lèi)方法得到河南省的耕地分布信息;其次提出了一種改進(jìn)的基于風(fēng)云三號(hào)VIRR(Visible and Infrared Radiometer)影像的秸稈焚燒火點(diǎn)提取方法流程;最后以2015年10月1日為例,將提取的秸稈焚燒火點(diǎn)分別與VIRR影像火點(diǎn)目視解譯特征、已知焚燒市縣資料、環(huán)境小衛(wèi)星B星CCD(Charge Coupled Device)影像焚燒跡地目視解譯特征、環(huán)保部秸稈焚燒監(jiān)測(cè)日?qǐng)?bào)數(shù)據(jù)進(jìn)行對(duì)比分析,以驗(yàn)證本文方法的有效性。結(jié)果表明,提取的秸稈焚燒火點(diǎn)與驗(yàn)證數(shù)據(jù)在空間分布上具有很好的一致性:當(dāng)日秸稈焚燒主要集中在周口市、駐馬店市和開(kāi)封市,三市秸稈焚燒火點(diǎn)總數(shù)占全省的64.63%,其中周口市秸稈焚燒最嚴(yán)重,秸稈焚燒火點(diǎn)個(gè)數(shù)占全省總數(shù)的30.49%。(2)秸稈焚燒動(dòng)態(tài)監(jiān)測(cè)研究。首先基于本文秸稈焚燒火點(diǎn)提取方法,利用風(fēng)云三號(hào)VIRR影像提取河南省2015年秋收時(shí)期的多日秸稈焚燒火點(diǎn),與利用同期的MODIS(Moderate Resolution Imaging Spectroradiometer)熱異常數(shù)據(jù)得到的火點(diǎn)進(jìn)行對(duì)比分析,并利用OLI、CCD等影像的焚燒跡地目視解譯特征驗(yàn)證火點(diǎn)提取結(jié)果。其次,針對(duì)秸稈焚燒現(xiàn)象最嚴(yán)重的周口地區(qū),綜合利用提取的多日秸稈焚燒火點(diǎn)和空氣質(zhì)量指數(shù)AQI(Air Quality Index)數(shù)據(jù),采用緩沖區(qū)分析的方法研究局地秸稈焚燒對(duì)空氣質(zhì)量的影響,并分析可能的影響因子。結(jié)果表明,提取火點(diǎn)與對(duì)比數(shù)據(jù)在時(shí)空分布上具有很好的一致性:時(shí)間上,秸稈焚燒現(xiàn)象主要集中于9月28日至10月2日,10月9日至10月14日;空間上主要集中于行政區(qū)劃交界的監(jiān)管薄弱地帶,周口、駐馬店、開(kāi)封、南陽(yáng)地區(qū)的秸稈焚燒火點(diǎn)占全省火點(diǎn)總數(shù)的72.18%。周口地區(qū)秸稈焚燒火點(diǎn)時(shí)空分布與AQI具有中等程度的相關(guān)性,受空氣擴(kuò)散及降雨、風(fēng)等氣象因子的影響,該市空氣污染存在1至2天的滯后現(xiàn)象。
[Abstract]:During the summer and autumn harvest period, the relevant government departments in China's major agricultural provinces will take various measures to monitor and severely punish the burning of straw. Using satellite remote sensing technology to monitor straw burning can make up for the shortcomings of traditional artificial methods, improve the efficiency of monitoring and reduce the cost. On the basis of summing up the theory and application of remote sensing fire exploration at home and abroad, this paper makes comprehensive use of multi-source satellite data and other auxiliary data to study the monitoring of straw burning during the 2015 autumn harvest in Henan Province. The main contents of this paper are as follows: 1) extraction of burning point from straw incineration. Firstly, combining the MERSI(Medium Resolution Spectral Imager image of Fengyun No. 3 and OLI(Operational Land Imager image of American Landsat No. 8, the information of cultivated land distribution in Henan Province is obtained by the method of supervised classification. Secondly, an improved method for extracting the burning point of straw burning based on Fengyun 3 VIRR(Visible and Infrared Radiometer) image is proposed. Finally, taking October 1, 2015 as an example, the extracted burning point of straw is visually interpreted from the fire point of VIRR image. In order to verify the effectiveness of this method, the known data of burning cities and counties, the visual interpretation characteristics of CCD(Charge Coupled device images and the monitoring daily data of straw incineration in the Ministry of Environmental Protection were compared and analyzed to verify the effectiveness of the method in this paper. The results show that the extracted burning point of straw has good consistency with the verification data in spatial distribution: the burning of straw is mainly concentrated in Zhoukou city, Zhumadian city and Kaifeng city. The total number of burning points of straw in three cities accounted for 64.63 of the whole province, among which the burning of straw in Zhoukou was the most serious, and the number of burning points of straw accounted for 30.49. 2 of the total number of burning points in the whole province. Firstly, based on the method of extracting the burning point of straw in this paper, we use Fengyun 3 VIRR image to extract the multi-day burning point of straw burning in Henan province during the 2015 autumn harvest period, and compare it with the fire point obtained by using the thermal anomaly data of MODIS(Moderate Resolution Imaging Spectroradiometer) in the same period. The results of fire point extraction were verified by visual interpretation features of OLI CCD images. Secondly, in Zhoukou area, where the phenomenon of straw burning is the most serious, the effects of local straw incineration on air quality are studied by the buffer analysis method using the extracted data of burning point of straw burning and air quality index (AQI(Air Quality Index). The possible influencing factors were analyzed. The results showed that there was good consistency between the extraction of fire point and the distribution of contrast data. In time, the phenomenon of straw burning was mainly from September 28 to October 2, October 9 to October 14; The space is mainly concentrated in the weak area of supervision at the junction of administrative divisions, Zhoukou, Zhumadian, Kaifeng, Nanyang area, and the straw burning fire point accounts for 72.18% of the total number of fire spots in the whole province. The temporal and spatial distribution of the burning site of straw in Zhoukou area has a moderate correlation with AQI, and the air pollution in Zhoukou has a lag of 1 to 2 days due to the influence of air diffusion, rainfall, wind and other meteorological factors.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：X712

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 張麗娟;厲青;陳輝;毛慧琴;周春艷;王中挺;張玉環(huán);馬鵬飛;陳翠紅;;2014-2015年夏秋收期間全國(guó)秸稈焚燒遙感監(jiān)測(cè)結(jié)果對(duì)比分析[J];環(huán)境與可持續(xù)發(fā)展;2016年06期

2 張彥;劉婷;李冰;程永政;王來(lái)剛;郭燕;武喜紅;賀佳;;基于MODIS數(shù)據(jù)的河南省秋季作物秸稈焚燒火點(diǎn)監(jiān)測(cè)研究[J];河南農(nóng)業(yè)科學(xué);2016年11期

3 王艷;程軻;;作物秸稈露天焚燒有害物質(zhì)排放及其對(duì)健康的影響[J];新鄉(xiāng)醫(yī)學(xué)院學(xué)報(bào);2016年10期

4 慕臣英;徐全輝;張菁;李石;宋曉巍;金宇;王敏;劉青;;RS和GIS技術(shù)在沈陽(yáng)市火災(zāi)監(jiān)測(cè)中的應(yīng)用研究[J];中國(guó)農(nóng)學(xué)通報(bào);2016年09期

5 趙少華;王橋;游代安;姚云軍;朱利;隨欣欣;張麗娟;李靜;;衛(wèi)星紅外遙感技術(shù)在我國(guó)環(huán)保領(lǐng)域中的應(yīng)用與發(fā)展分析[J];地球信息科學(xué)學(xué)報(bào);2015年07期

6 陳潔;鄭偉;高浩;邵佳麗;劉誠(chéng);;多源衛(wèi)星遙感農(nóng)作物秸稈焚燒過(guò)火區(qū)面積估算方法[J];農(nóng)業(yè)工程學(xué)報(bào);2015年03期

7 何立環(huán);董貴華;明珠;于海燕;牛志春;;基于遙感和GIS技術(shù)的秸稈焚燒與空氣狀況的時(shí)空響應(yīng)分析[J];環(huán)境與可持續(xù)發(fā)展;2014年05期

8 毛宇清;李聰;沈澄;劉冬晴;王永平;;兩次秸稈焚燒污染過(guò)程的氣象條件對(duì)比分析[J];氣象;2013年11期

9 鄭偉;邵佳麗;王萌;劉誠(chéng);;多源衛(wèi)星遙感草原火災(zāi)動(dòng)態(tài)監(jiān)測(cè)分析[J];自然災(zāi)害學(xué)報(bào);2013年03期

10 劉婷;王來(lái)剛;范磊;;基于EOS/MODIS數(shù)據(jù)的河南省小麥秸稈焚燒監(jiān)測(cè)分析[J];河南農(nóng)業(yè)科學(xué);2011年11期

相關(guān)會(huì)議論文 前2條

1 尹婷;胡柯;;武漢市2012年6月11-13日嚴(yán)重灰霾天氣過(guò)程分析[A];2013中國(guó)環(huán)境科學(xué)學(xué)會(huì)學(xué)術(shù)年會(huì)論文集（第五卷）[C];2013年

2 趙文化;單海濱;黃江;曹靜;;MODIS熱紅外波段飽和特性及火情監(jiān)測(cè)波段選擇[A];中國(guó)氣象學(xué)會(huì)2007年年會(huì)氣象綜合探測(cè)技術(shù)分會(huì)場(chǎng)論文集[C];2007年

相關(guān)碩士學(xué)位論文 前8條

1 樊香所;基于風(fēng)云衛(wèi)星中分辨率數(shù)據(jù)的農(nóng)業(yè)種植區(qū)信息提取方法研究[D];電子科技大學(xué);2015年

2 李紫甜;基于風(fēng)云三號(hào)熱紅外資料的地表溫度反演方法研究[D];南京信息工程大學(xué);2014年

3 王俊;氣象因子對(duì)秸稈焚燒源PM10濃度的影響研究[D];安徽農(nóng)業(yè)大學(xué);2013年

4 徐擁軍;基于FY3A/VIRR數(shù)據(jù)火情監(jiān)測(cè)系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)[D];中國(guó)地質(zhì)大學(xué)(北京);2012年

5 詹劍鋒;利用HJ-IRS影像提取林火火點(diǎn)和火燒跡地算法研究[D];中南大學(xué);2012年

6 施紅芳;豫東平原農(nóng)區(qū)農(nóng)業(yè)產(chǎn)業(yè)化發(fā)展現(xiàn)狀與對(duì)策研究[D];重慶大學(xué);2008年

7 肖利;EOS/MODIS在川渝地區(qū)森林火災(zāi)監(jiān)測(cè)中的應(yīng)用研究[D];西南交通大學(xué);2008年

8 高華東;NOAA/AVHRR數(shù)據(jù)在森林火災(zāi)監(jiān)測(cè)中的應(yīng)用[D];中國(guó)海洋大學(xué);2007年

，

本文編號(hào)：1833784