School of Information Engineering, Nanchang Institute of Technology, Nanchang, China.
Jiangxi Province Key Laboratory of Smart Water Conservancy, Nanchang, China.
PLoS One. 2024 Oct 30;19(10):e0311574. doi: 10.1371/journal.pone.0311574. eCollection 2024.
With the rapid development of industry, haze pollution has become an urgent environmental problem. This study innovatively utilizes network-based methods to investigate the spatial correlation effects of haze pollution transmission between urban clusters in the Yangtze River Economic Belt. A spatial correlation network of haze pollution in the Yangtze River Economic Belt was constructed using 328 urban meteorological data collection points as research samples, and its structural characteristics were examined. Main findings are as follows: (1) The spatial correlation network of PM2.5 in the Yangtze River Economic Belt urban agglomeration exhibits typical network structural characteristics: obvious spatial correlation within the network. (2) Chengdu, Chongqing, Wuhan, Nanchang, Yichang, Changsha and Yueyang are located at the center of the spatial network. They have more receiving and sending relationships. (3) 36 cities can be divided into four types: bilateral overflow, net beneficiary, net overflow and broker. Each type has different functional characteristics and linkage effects in the network. (4) Haze pollution positively correlates with the city's synergistic development capacity and urbanization rate, the higher the city's development level and the higher the Urbanization rate, the stronger its haze pollution capacity. This study provides new insights into the study of the spatial correlation and impact of haze pollution.
随着工业的快速发展，雾霾污染已成为一个紧迫的环境问题。本研究创新性地利用基于网络的方法来研究长江经济带城市群之间雾霾污染传输的空间关联效应。使用 328 个城市气象数据采集点作为研究样本，构建了长江经济带雾霾污染的空间关联网络，并对其结构特征进行了检验。主要发现如下：（1）长江经济带城市群 PM2.5 的空间关联网络呈现出典型的网络结构特征：网络内具有明显的空间关联。（2）成都、重庆、武汉、南昌、宜昌、长沙和岳阳处于空间网络的中心位置，具有更多的接收和发送关系。（3）36 个城市可分为四类：双边溢出型、净受益型、净溢出型和中介型。每种类型在网络中都具有不同的功能特征和联系效应。（4）雾霾污染与城市协同发展能力和城市化率呈正相关，城市发展水平越高，城市化率越高，其雾霾污染能力越强。本研究为雾霾污染的空间关联和影响研究提供了新的视角。
