本文關(guān)鍵詞： 高光譜 環(huán)首都地區(qū) 數(shù)字高程模型 可吸入顆粒物 空間相關(guān)性　出處：《光譜學(xué)與光譜分析》2016年09期 　論文類型：期刊論文

【摘要】：空氣中可吸入顆粒物濃度的增加與眾多綜合因素相關(guān),其空間分散程度與高程DEM間也有一定的相關(guān)性。為了研究霧霾的污染與高度的空間相關(guān)關(guān)系,以環(huán)首都地區(qū)100km范圍內(nèi)為研究對象,利用矩形格網(wǎng)尺度法對所研究區(qū)域進(jìn)行不同邊長及不同尺度的格網(wǎng)劃分,通過無人機(jī)獲取可見光影像數(shù)據(jù)和高光譜POS信息數(shù)據(jù),對所研究區(qū)內(nèi)的空氣污染因子和高程因子進(jìn)行提取和整合。同時利用地統(tǒng)計學(xué)GS+軟件的克里格插值法對所提取的變量數(shù)據(jù)進(jìn)行空間相關(guān)性研究,并利用MODIS遙感影像數(shù)據(jù)和無人機(jī)獲取的POS數(shù)據(jù)與實地調(diào)查相結(jié)合的方法對地形和環(huán)境數(shù)據(jù)進(jìn)行非線性回歸擬合分析。計算在不同格網(wǎng)尺度下環(huán)首都地區(qū)空氣中的可吸入顆粒物及高程因子的空間相關(guān)效應(yīng)的影響變程,建立二者間的空間相關(guān)性優(yōu)化模型,從而確定可吸入顆粒物濃度隨著高程變化的整體趨勢。結(jié)果表明:高程DEM與空氣污染指數(shù)API的最大相關(guān)影響距離為14.74km,且隨著樣本點(diǎn)間的距離增大,DEM的空間自相關(guān)性呈現(xiàn)逐漸減弱的規(guī)律,即可吸入顆粒物濃度隨著高程的增加而減小的整體趨勢。同時,建立了高程DEM與環(huán)境間的空間相關(guān)性模型,該模型符合地統(tǒng)計學(xué)的高斯球狀模型,相關(guān)系數(shù)r均高于90%,模型擬合度較高。試驗為日后相關(guān)部門控制空氣污染指數(shù)隨著高度的變化選擇不同樹種進(jìn)行綠化提供了一定的理論和實踐指導(dǎo)依據(jù)。
[Abstract]:In order to study the spatial correlation between the pollution of haze and the height of haze, the increase of the concentration of respirable particulates in the air is related to many comprehensive factors, and the degree of spatial dispersion is also related to the elevation of DEM. Taking the 100 km area around the capital as the research object, the rectangular grid scale method is used to divide the grid of the studied area with different side length and different scale. The visible light image data and hyperspectral POS information data are obtained by UAV. The air pollution factors and elevation factors in the study area were extracted and integrated. At the same time, the spatial correlation of the extracted variable data was studied by using the Kriging interpolation method of geostatistics software GS. The nonlinear regression fitting analysis of terrain and environment data is carried out by using MODIS remote sensing image data, POS data obtained by UAV and field survey. The calculation is carried out on different grid scales around the capital city. Spatial correlation effects of inhalable particulate matter and elevation factors in regional air. The optimization model of spatial correlation between them is established. The results showed that the maximum correlation distance between elevation DEM and air pollution index (API) was 14.74 km. The spatial autocorrelation of Dem decreases gradually with the increase of the distance between the sample points, that is, the concentration of inhaled particulates decreases with the increase of height. At the same time. The spatial correlation model between elevation DEM and environment was established. The model was consistent with Gao Si's spherical model of geostatistics, and the correlation coefficient r was higher than 90%. The experiment provides a theoretical and practical basis for the control of air pollution index with the change of height in different tree species for greening.
【作者單位】： 中國人民武裝警察部隊警種學(xué)院;
【基金】：國家科技支撐計劃項目(2012BAH34B01) 單兵便攜應(yīng)急偵測評估無人機(jī)系統(tǒng)研究項目(WK2016-Y7)資助
【分類號】：X87;X513
【正文快照】： 引言隨著經(jīng)濟(jì)的飛速發(fā)展,環(huán)首都地區(qū)的環(huán)境污染問題也越來越嚴(yán)重,尤其是自2008年奧運(yùn)會之后的空氣污染,越來越受到國內(nèi)外各界環(huán)保人士的重視。對空氣污染和空氣質(zhì)量評價早在很多年前就有深入研究,早在1998年,朱傳鳳等就提出了空氣污染指數(shù)(air population index,API)的概念、

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