College of Resources and Environment, Hebei Normal University, Shijiazhuang, Hebei Province, China.
Hebei Key Laboratory of Environmental Change and Ecological Construction, College of Resources and Environment, Hebei Normal University, Shijiazhuang, Hebei Province, China.
PLoS One. 2020 Sep 18;15(9):e0238547. doi: 10.1371/journal.pone.0238547. eCollection 2020.
Based on 0.01°×0.01° grid data of PM2.5 annual concentration and statistical yearbook data for 11 cities in Hebei Province from 2000 to 2015, the temporal and spatial distribution characteristics of PM2.5 in the study area are analysed, the level of intensive land use in the area is evaluated, and decoupling theory and spatial regression are used to discuss the relationship between PM2.5 concentration and intensive land use and the influence of intensive land use variables on PM2.5 in Hebei Province. The results show that 1. In terms of time, the concentration of PM2.5 in Hebei Province showed an overall upward trend from 2000 to 2015, with the highest in winter and the lowest in summer. The daily variations show double peaks at 8:00-10:00 and 21:00-0:00 and a single valley at 16:00-18:00. 2. In terms of space, the concentration of PM2.5 in Hebei Province is high in the southeast and low in the northwest, and the pollution spillover initially decreases and then increases. 3. In the past 16 years, the level of intensive land use in Hebei Province has increased annually, but blind expansion still exists. 4. Decoupling theory and the spatial lag model show that land use intensity, land input level and land use structure are positively correlated with PM2.5 concentration, land output benefit is negatively correlated with PM2.5 concentration, and PM2.5 concentration and land intensive use level have not yet been decoupled; thus, the relationship is not harmonious. This research can provide a scientific basis for reducing air pollution and promoting the development of urban land resources for intensive and sustainable development.
基于 2000 年至 2015 年河北省 11 个城市的 PM2.5 年浓度 0.01°×0.01°网格数据和统计年鉴数据，分析了研究区 PM2.5 的时空分布特征，评价了该区域集约用地水平，并利用脱钩理论和空间回归模型讨论了 PM2.5 浓度与集约用地之间的关系以及集约用地变量对河北省 PM2.5 的影响。结果表明：1. 就时间而言，河北省 PM2.5 浓度从 2000 年到 2015 年呈总体上升趋势，冬季最高，夏季最低。日变化呈 8：00-10：00 和 21：00-0：00 双峰，16：00-18：00 单谷。2. 就空间而言，河北省 PM2.5 浓度东南部高，西北部低，污染溢出呈先降后升趋势。3. 在过去的 16 年中，河北省集约用地水平逐年增加，但仍存在盲目扩张现象。4. 脱钩理论和空间滞后模型表明，土地利用强度、土地投入水平和土地利用结构与 PM2.5 浓度呈正相关，土地产出效益与 PM2.5 浓度呈负相关，PM2.5 浓度与土地集约利用水平尚未脱钩，关系不协调。本研究可为减少空气污染、促进城市土地资源集约可持续发展提供科学依据。
