Category Archives: LUR

Yangzhi publish LUR work in STOTEN

Yanzhi’s paper entitled ‘The application of land use regression model to investigate spatiotemporal variations of PM2.5 in Guangzhou, China: Implications for the public health benefits of PM2.5 reduction’ has been accepted for publication in STOTEN. This is an outcome of our LUR project, with which the group has developed a framework on LUR modeling for intra-urban air quality and environmental health studies in Guangzhou. Congratulations!

Spatial variation of predicted annual average PM2.5 concentrations by land use regression model in Guangzhou.

Official closure of the LUR project

On August 26th, the Guangdong Department of Science and Technology authorized  a third party organization to organize a panel review of our LUR project, “Intra-urban air pollution exposure prediction: a smart platform and applications using land-use
regression model”(2018A050501009), 
which is subjected to an official closure. Shizhen, Yangzhi and I attended, with cooperators from Guangdong Environmental Monitoring Centre (Mr Shen Jing), and from Guangzhou Bojin Information Technology Co. (Dr Feng Bin). The final review scientific panel was chaired by Professors Zou Shichun of ZSU,   Lai Senchao of SCUT, Liu Guoqing of SZU, Liu Junwen of JNU and a financial expert from CAS Guangzhou Branch (Ms Zhou Jing). Gan gave a 20-min presentation on the final report of the project. The meeting went on smoothly and the achievement of the LUR project was highly recognized by the review committee.

The LUR-Guangzhou project was commenced by GD Department of S&T in 2017, jointly with UK-Research and Innovation (UKRI) as part of the UK’s Newton Fund in cooperation with the Guangdong government. The joint programme was named ‘Guangdong-UK Urban Innovation Challenge 2017’, which was highly competitive. We succeeded in the biding, jointly with Douglas Booker of NAQTS Co. of the UK, and Kevin Jones of Lancaster University. The funding included 100K RMB on Guangdong side,   and 500K BP on the UK side, which was ‘big’.

We achieved the research/innovation goal in 2 project years, with the development of an LUR model to predict the high-resolution spatio-temporal distribution of air pollution and air quality index in Guangzhou using the state-of-the-art LUR modelling technique and integrating local real-time road traffic data as well as weather data. We also succeeded in visualizing the product on smartphone, such that by clicking any position within Guangzhou on the digital map, one can immediately obtain the real-time air quality and health index at the interested site! An innovation of science and IT technology.

Moments of the final project interview.

Some slides of the presentation. Try scanning the barcode with your smartphone and link to our product (internal demonstration)!

Some of the developers of the LUR-Guangzhou smart platform.

LUR project members visit Bojin Ltd.

On 21st of July, Gan, Jun, Yangzhi and Shizhen visited the Bojin Ltd. located in Nansha. We had a good discussion on the development progress of smart platform on the prediction of air pollutants level and health risk in Guangzhou, since this project is coming to the end and will be reviewed recently.

Good luck to our final expert review meeting!

The director of Bojin Ltd, Dr. Bin Feng, introduced the company. He was  also used to study in GIG.

Group photo.