本文選題：下墊面 + 道路交通��； 參考：《地球信息科學(xué)學(xué)報(bào)》2017年01期

【摘要】：隨著經(jīng)濟(jì)的快速發(fā)展,空氣污染已經(jīng)成為當(dāng)今重要的環(huán)境問題,引起公眾的廣泛關(guān)注,二氧化氮(NO_2)作為主要的空氣污染物之一,成為相關(guān)研究的重點(diǎn)。通過監(jiān)測(cè)數(shù)據(jù)發(fā)現(xiàn),二氧化氮質(zhì)量濃度值的空間分布具有區(qū)域性差異,所以對(duì)其空間分布模擬,以及形成區(qū)域差異的下墊面影響因素分析,具有重要的研究?jī)r(jià)值。土地利用回歸模型(Land-use Regression,LUR)是將統(tǒng)計(jì)方法中的回歸模型與空間上的土地利用數(shù)據(jù)、監(jiān)測(cè)數(shù)據(jù)和其他相關(guān)的地理數(shù)據(jù)結(jié)合分析并在地圖上顯示的方法。本文結(jié)合緩沖區(qū)分析、疊加分析、Spearman相關(guān)性分析、多元回歸分析等方法構(gòu)建土地利用回歸模型(Land Use Regression,LUR),用于識(shí)別與NO_2濃度相關(guān)的下墊面影響因素,并模擬NO_2質(zhì)量濃度的空間分布。LUR模型可以模擬出NO_2質(zhì)量濃度空間分布特征,并針對(duì)下墊面影響因素得到以下結(jié)論:城鄉(xiāng)居住地及工業(yè)用地面積增加、污染源的距離減少和道路長(zhǎng)度增加會(huì)導(dǎo)致NO_2濃度升高;耕地面積、綠地面積和水域面積的增加會(huì)導(dǎo)致NO_2濃度減少;NO_2濃度最高的區(qū)域主要集中在工業(yè)園區(qū);NO_2濃度值從城區(qū)到郊區(qū)遞減,需要通過改變工業(yè)區(qū)結(jié)構(gòu)和增加綠地面積來減少城區(qū)的NO_2濃度。
[Abstract]:With the rapid development of economy, air pollution has become an important environmental problem, which has aroused widespread public concern. As one of the main air pollutants, nitrogen dioxide (NO2) has become the focus of related research. Through monitoring data, it is found that the spatial distribution of nitrogen dioxide mass concentration is different in different regions, so it is of great value to simulate the spatial distribution of nitrogen dioxide and to analyze the influencing factors of underlying surface that form regional differences. Land use regression model (Land-use regression) is a method which combines the regression model of statistical method with spatial land use data, monitoring data and other relevant geographic data and shows on the map. Combined with buffer zone analysis, superposition analysis, Spearman correlation analysis and multivariate regression analysis, a land Use regression model was constructed to identify the factors affecting the underlying surface associated with NO_2 concentration. The spatial distribution characteristics of NO_2 mass concentration can be simulated by simulating the spatial distribution of NO_2 mass concentration, and the following conclusions are obtained according to the influencing factors of underlying surface: the increase of urban and rural residential area and industrial land area. Reduced distance from pollution sources and increased road length lead to higher NO_2 concentrations; The increase of green area and water area will result in the decrease of NO_2 concentration and the highest concentration of No2 in the industrial park. It is necessary to reduce the concentration of NO_2 in urban areas by changing the structure of industrial areas and increasing the area of green space.
【作者單位】： 中國(guó)科學(xué)院測(cè)量與地球物理研究所;中國(guó)科學(xué)院大學(xué);湖北省林業(yè)調(diào)查規(guī)劃院;
【基金】：國(guó)家自然科學(xué)基金面上項(xiàng)目(41571487) 湖北省自然科學(xué)基金項(xiàng)目(面上)(2015CFB608)
【分類號(hào)】：X51;X831
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本文編號(hào)：1961128