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Associate Professors
Mingkai Qu

Mingkai Qu

Position Title Associate Professor
Postal address 71 East Beijing Road, Nanjing City, Jiangsu Province, China
Postal Code 210008 E-mail qumingkai@issas.ac.cn

Biography

[1] Associate professor, 06/2015-Present. Institute of Soil Science, Chinese Academy of Sciences, China.

[2] Visiting scholar, 10/2018-10/2019. University of Connecticut, USA

[3] Assistant professor, 07/2014-06/2015. Institute of Soil Science, Chinese Academy of Sciences, China.

[4] Postdoctoral Fellow, 07/2012-06/2014. Institute of Soil Science, Chinese Academy of Sciences, China.

[5] Ph.D.  09/2009-07/2012. Huazhong Agricultural University, China.

Research Areas

[1] Spatial and temporal prediction of soil resources

[2] Source apportionment of soil pollutants

[3] Environmental risk assessment

[4] Management of soil resources

Awards and Honours

The members of the Youth Innovation Promotion Association of the Chinese Academy of Sciences, November 2017

Selected Publications

 [1] Zhang J.L., Wang Y., Qu M.K.*, Chen J., Yang L.F., Huang B., Zhao Y.C., 2020. Source apportionment of soil nitrogen and phosphorus based on robust residual kriging and auxiliary soil-type map in Jintan County, China. Ecological Indicators.  DOI: 10.1016/j.ecolind.2020.106820 

[2] Qu M.K.*, Chen J., Huang B., Zhao Y.C., 2020. Enhancing apportionment of the point and diffuse sources of soil heavy metals using robust geostatistics and robust spatial receptor model with categorical soil-type data. Environmental Pollution. DOI: 10.1016/j.envpol.2020.114964

[3] Qu M.K.*, Chen J., Huang B., Zhao Y.C., 2020. Exploring the spatially varying relationships between cadmium accumulations and the main influential factors in the rice-wheat rotation system in a large-scale area. Science of the Total Environment. DOI: 10.1016/j.scitotenv.2020.139565

[4] Qu M.K.*, Chen J., Li W.D., Zhang C.R., Wan M.X., Huang B., Zhao Y.C., 2019. Correction of in-situ portable X-ray fluorescence (PXRF) data of soil heavy metal for enhancing spatial prediction. Environmental Pollution. 254: 1-8.

[5] Qu M.K.*, Wang Y., Huang B.*, Zhao Y.C., 2018. Spatial uncertainty assessment of the environmental risk of soil copper using auxiliary portable X-ray fluorescence spectrometry data and soil pH. Environmental Pollution. 240: 184-190.

[6] Qu M.K.*, Wang Y., Huang B.*, Zhao Y.C., 2018. Source apportionment of soil heavy metals using robust absolute principal component scores-robust geographically weighted regression (RAPCS-RGWR) receptor model. Science of the Total Environment. 626: 203-210.

[7] Qu M.K., Li W.D., Zhang C.R., Huang B.*, Zhao Y.C., 2014. Spatially nonstationary relationships between copper accumulation in rice grain and some related soil properties in paddy fields at a regional scale. Soil Science Society of America Journal. 78(5): 1765–1774.

[8] Qu M.K., Li W.D., Zhang C.R., Zhao Y.C.*, Huang B., Sun W.X., Hu W.Y., 2013. Comparison of Three Methods for Soil Fertility Quality Spatial Simulation with Uncertainty Assessment. Soil Science Society of America Journal. 77(6): 2182-2191.

[9] Qu M.K., Li W.D.*, Zhang C.R., 2013. Assessing the spatial uncertainty in soil nitrogen mapping through stochastic simulations with categorical land use information. Ecological Informatics. 16: 1-9.

[10] Qu M.K., Li W.D.*, Zhang C.R., 2013. Assessing the risk costs in delineating soil nickel contamination using sequential Gaussian simulation and transfer functions. Ecological Informatics. 13: 99-105.

Represent Ative projects

[1] China Postdoctoral Science Foundation (First Class): "Improvement and Evaluation of APCS/MLR Model for Sources Apportionment of Soil Heavy Metal", July 2013-June 2015;

[2] China Postdoctoral Science Foundation (Special Support): "Spatial Prediction and Source Apportionment of Heavy Metals in Soil", July 2014-June 2016;

[3] Natural Science Foundation of Jiangsu Province: "Improvement and Evaluation of Kriging Geostatistics Method for Interpolation and Simulation of Soil Properties", July 2014-June 2017;

[4] National Natural Science Foundation of China (Youth): "Construction and Evaluation of Source Apportionment Method for Regional Soil Heavy Based on Receptor Model", January 2015-December 2017;

[5] National Science and Technology Support Program: "Risk and Source Identification Technology of Non-point Source Pollution in Basic Farmland Soil", July 2015-December 2019;

[6] Basic Project of Science and Technology (Sub-project): "Surface Soil Survey in Water Source Area of South-to-North Water Diversion Project", May 2015-May 2019;

[7] Knowledge Innovation Program of Institute of Soil Science, Chinese Academy of Sciences: "Space Simulation of Soil Properties under Strong Anthropogenic Activities", January 2016-December 2018;

[8] National Natural Science Foundation of China: "Soil Mapping and Uncertainty Assessment under Strong Natural and Human effects", January 2018-December 2021.

[9] Youth Innovation Promotion Association of Chinese Academy of Sciences: "Spatiotemporal Simulation and Source Apportionment of Regional Soil Resources and Environmental risks", January 2018-December 2021.

[10] National key R & D Program (Sub-project):" Space-time Distribution and Risk Prediction of Contaminated Sites in Southwest Metal Mining area (Yunnan)", December 2018-November 2022.