电子邮件： qumingkai@issas.ac.cn
通信地址： 江苏省南京市玄武区北京东路71号（中国科学院南京土壤研究所）
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研究领域
区域土壤环境信息
土壤污染时空预测模拟与来源解析
代表论著
Qu M.K., Guang X., Liu H., Zhao Y.C., Huang B., 2021. Additional sampling using in-situ portable X-ray fluorescence (PXRF) for rapid and high-precision investigation of soil heavy metals at a regional scale. Environmental Pollution. 118324. https://doi.org/10.1016/j.envpol.2021.118324.
Qu M.K., Guang X., Zhao Y.C., Huang B., 2021. Spatially apportioning the source-oriented ecological risks of soil heavy metals using robust spatial receptor model with land-use data and robust residual kriging. Environmental Pollution. 117261. https://doi.org/10.1016/j.envpol.2021.117261.
Qu M.K., Chen J., Huang B., Zhao Y.C., 2021. Resampling with in situ field portable X-ray fluorescence spectrometry (FPXRF) to reduce the uncertainty in delineating the remediation area of soil heavy metals. Environmental Pollution. 116310. https://doi.org/10.1016/j.envpol.2020.116310.
Qu M.K., Chen J., Huang B., Zhao Y.C., 2021. Source apportionment of soil heavy metals using robust spatial receptor model with categorical land-use types and RGWR-corrected in-situ FPXRF data. Environmental Pollution. 116220. https://doi.org/10.1016/j.envpol.2020.116220.
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. 114964. https://doi.org/10.1016/j.envpol.2020.114964.