Liang Zhao Feng, Chen Wen Bo, Zheng Jiao
College of Land Resources and Environment, Jiangxi Agricultural University, Nanchang 330045, China.
Nanchang Key Laboratory of Landscape and Environment, Nanchang 330045, China.
Ying Yong Sheng Tai Xue Bao. 2018 May;29(5):1705-1714. doi: 10.13287/j.1001-9332.201805.031.
At present, urbanization has gradually changed from denotative expansion to connotative development in China. It is urgently needed for intensive use of land resources and the construction of "compact city". However, intensive land use means less land resources to carry more urban elements, therefore people will become more and more sensitive to environmental pollution, especially atmospheric pollution. It is of great significance to study the influence of intensive land use on atmospheric pollution. Taking the central urban area of Nanchang City as a case, this study simulated the concentration of the six main atmospheric pollutants i.e. PM, PM, SO, NO, CO and O by ordinary kriging interpolation firstly. Then, sixteen intensive land use variables, including the volume ratio, building density, population density, were analyzed with the partial least squares regression and path analysis in order to reveal the effects of intensive land use level on the atmospheric pollutants. The results showed that the correlations between intensive land use level and PM, PM were the strongest, followed by O and NO, and the weakest correlation was between intensive land use level and SO, CO. The sequence of the correlation between intensive land use variables and the six main atmospheric pollutants in different sample areas was residential area> education area > business area > industrial area. The more intensive the land use was, it had greater impacts on the atmospheric pollutants. The greatest effect was on PM and PM, followed by O, and the least effect was on NO. The direct, indirect, and integrated influences of intensive land use on atmospheric pollutants were generally equal. Overall, the direct influence of the intensive land use level was greater than the indirect one, among which the influence of the intensive land use level of the residential area was the strongest, followed by the business area, and the education area least. This study provided a new perspective on studying the influence of intensive land use on atmospheric environment, which would provide some reference to solve the atmospheric problems in compacted city.
目前，中国城市化已逐渐从外延式扩张向内涵式发展转变。土地资源集约利用和“紧凑型城市”建设迫在眉睫。然而，土地集约利用意味着用更少的土地资源承载更多的城市要素，因此人们对环境污染，尤其是大气污染将变得越来越敏感。研究集约土地利用对大气污染的影响具有重要意义。本研究以南昌市中心城区为例，首先通过普通克里金插值法模拟了PM、PM、SO、NO、CO和O六种主要大气污染物的浓度。然后，运用偏最小二乘回归和路径分析方法，对容积率、建筑密度、人口密度等16个集约土地利用变量进行分析，以揭示集约土地利用水平对大气污染物的影响。结果表明，集约土地利用水平与PM、PM的相关性最强，其次是O和NO，与SO、CO的相关性最弱。不同样本区域集约土地利用变量与六种主要大气污染物的相关性排序为：居住区＞教育区＞商业区＞工业区。土地利用集约程度越高，对大气污染物的影响越大。对PM和PM的影响最大，其次是O，对NO的影响最小。集约土地利用对大气污染物的直接、间接和综合影响总体相当。总体而言，集约土地利用水平的直接影响大于间接影响，其中居住区集约土地利用水平的影响最强，其次是商业区，教育区最小。本研究为研究集约土地利用对大气环境的影响提供了新的视角，可为解决紧凑型城市的大气问题提供一定参考。
