Dataset of Sensitive Receptors within 1 km around Key Supervision Industries of Soil Environment in Gejiu City, Yunnan Province, China (2021)
GU Runyao1LEI Mei*2,3YANG Haikun4ZHOU Rui5
1 College of Eco-Environmental Engineering，Guizhou Minzu University，Guizhou 500200，China2 Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences，Beijing 100101，China3 University of Chinese Academy of Sciences，Beijing 100049，China4 Zhongkeshanshui Information Technology Co.，Ltd，Beijing 100070，China5 Jingshitianqi Technology Co.，Ltd，Beijing 100086，China
DOI:10.3974/geodb.2023.02.02.V1
Published:Feb. 2023
Visitors：3879 Data Files Downloaded：33
Data Downloaded：1.01 MB Citations：
Key Words：
pollution risk management,soil pollution,Gejiu,sensitive receptor
Abstract：
We took monitoring samples methodology to identify sensitive receptors within 1 km around key supervision industries of soil environment in 2021 in Gejiu City, Yunnan Province, China.
The data integration among the high-resolution remote sensing images, road network data, population and points of interest (POI) were used in the dataset development. The dataset shows that 11.60% of the population, 16.47% of the cultivated land, 6.02% of the vegetation, 10.00% of the water body and 72.06% of the sensitive objects, such as kindergartens and schools, are located within 1 km of enterprises in key industries under supervision of soil environment. The dataset is consisted of the following data in the study area: (1) spatial vegetation, cultivated land, water and population data. The resolution is 0.0016° except the population in 1 km. (2) sensitive receptors data. The dataset is archived in .tif and .shp data formats, and consists of 31 data files with data size of 144 KB (compressed into one file with 31.2 KB).
Foundation Item：
Ministry of Science and Technology of P. R. China (2018YFC1800102, 2018YFC1800100); National Natural Science Foundation of China (42277475)
Data Citation：
GU Runyao, LEI Mei*, YANG Haikun, ZHOU Rui. Dataset of Sensitive Receptors within 1 km around Key Supervision Industries of Soil Environment in Gejiu City, Yunnan Province, China (2021)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023. https://doi.org/10.3974/geodb.2023.02.02.V1.
References：
[1] Jiang, L., Liang, J., Zhong, M. S., et al. Challenges and response to risk management of complex contaminated sites [J]. Research of Environmental Sciences, 2021, 34(2): 458-467.
[2] Chen, H. B. Research on the Contaminated Sites Management and Remediation Based on the Human Health Risk Assessment [D]. Lanzhou University, 2009.
[3] Lu, J., Wu, B., Gu, Q. B. Experiences in the management of contaminated sites in the United States and lessons learned for China -- risk-based sustainable management [J]. Environmental Protection, 2017, 45(24): 65-70.
[4] Jiang, L., Zhong, M. S., Zhang, L. N., et al. Establishing a risk based framework for contaminated site management in China [J]. Environmental Pollution & Control, 2014, 36(8): 1-10.
[5] Zhang, H. B., Luo, Y. M., Li, Z. B., et al. Study on soil environmental quality guidelines and standards Ⅲ: Ecological risk assessment of polluted soils [J]. Acta Pedologica Sinica, 2007, 44(2): 338-349.
[6] Chen, W. P., Xie, T., Li, X. N., et al. Generalizaion of technical systems for soil pollution prevention and control in developed countries [J]. Acta Pedologica Sinica, 2018, 55(3): 527-542.
[7] Li, X. N., Chen, W. P., Lv, S. D. Advancement in researches on technical systems and modes for risk management and control of contaminated sites at home and aborad [J]. Acta Pedologica Sinica, 2022, 59(1): 38-53.
[8] Wang, G. Q., Luo, Y. M., Song, J., et al. Study on soil environment quality guidelines and standards Ⅰ: International trend and suggestions for amendment in China [J]. Acta Pedologica Sinica, 2005(4): 666-673.
[9] Qu, C. S. Health Risk Assessment and Management of Heavy Metal Pollution [D]; Nanjing University, 2011.
[10] Andrisani, M. G. Relative risk assessment in support of the management of po-tentially contaminated megasites [J]. Rendiconti Lincei Scienze Fisiche E Naturali, 2019, 30(2): 389-98.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
Gejiu_Sr.rar |
31.23KB |
|