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承担的科研项目 中国博士后科学基金一等资助:“针对土壤重金属污染源解析的APCS/MLR模型改进和评估” (2013M530273),2013/07–2015/06,主持; 中国博士后科学基金特别资助:“区域土壤重金属制图及来源解析的局部模型构建与评估” (2014T70554),2014/07–2016/06,主持; 江苏省自然科学基金青年基金:“土壤属性插值与模拟的克里格地统计学方法改进及评估” (BK20141055),2014/07–2017/06,主持; 国家自然科学基金青年基金:“基于受体模型的区域土壤重金属源解析方法构建及评估” (41771249),2015/01–2017/12,主持; 国家科技支撑计划子课题:“基本农田土壤非点源污染风险及来源识别技术” (2015BAD06B02-2),2015/07–2019/12,骨干; 科技基础性工作专项子课题:“南水北调(中线)水源地表层土壤调查”( 2015FY110400-2),2015/05–2019/05,骨干; 中科院“一三五”计划和领域前沿项目:“强烈人为作用下的土壤制图及其不确定性评估” (ISSASIP1623),2016/01–2018/12,主持;​ 国家自然科学基金面上基金:“强烈自然和人为作用下的土壤制图及其不确定性评估” (41401523),2018/01–2021/12,主持; 中国科学院青年创新促进会项目:“土壤重金属来源及时空建模” (2018348),2018/01–2021/12,主持。 国家重点研发计划子课题:“西南金属矿区污染场地(云南)时空分布与风险预测研究”(2018YFC1800104-03),2018/12–2022/12,骨干。

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

近期论文

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Chen J., Qu M.K.*, Zhang J.L., Xie E.Z., Zhao Y.C., Huang B., 2021. Soil fertility quality assessment based on geographically weighted principal component analysis (GWPCA) in large-scale areas. Catena. 105197. https://doi.org/10.1016/j.catena.2021.105197 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 Chen J., Qu M.K.*, Zhang J.L., Xie E.Z., Zhao Y.C., Huang B., 2020. Improving the spatial prediction accuracy of soil available nitrogen using geographically weighted principal component analysis-geographically weighted regression kriging (GWPCA-GWRK). Soil Science Society of America Journal. https://doi.org/10.1002/saj2.20189 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. 106820. https://doi.org/10.1016/j.ecolind.2020.106820 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 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. 139565. https://doi.org/10.1016/j.scitotenv.2020.139565 Liu G., Liu B., Yang L., Hu W., Qu M.K.*, Lu F., Huang B. 2020. Using pXRF to assess the accumulation, sources, and potential ecological risk of potentially toxic elements in soil under two greenhouse vegetable production systems in North China. Environmental Science and Pollution Research. 27, 11105–11115. http://dx.doi.org/10.1007/s11356-020-07674-y 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. 112993. https://doi.org/10.1016/j.envpol.2019.112993 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. https://doi.org/10.1016/j.envpol.2018.04.118 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. https://doi.org/10.1016/j.scitotenv.2018.01.070 Qu M.K., Li W.D., Zhang C.R., Huang B.*, Zhao Y.C., 2016. Spatial assessment of soil nitrogen availability and varying effects of related main soil factors on soil available nitrogen. Environmental Science: Processes & Impacts. 18(11): 1449-1457. https://doi.org/10.1039/c6em00407e Qu M.K.*, Li W.D., Zhang C.R., Huang B., Zhao Y.C., 2015. Assessing the pollution risk of soil Chromium based on loading capacity of paddy soil at a regional scale. Scientific Reports. 5: 18451. https://doi.org/10.1038/srep18451 Qu M.K., Huang B.*, Li W.D., Zhang C.R., Zhao Y.C., 2015. Spatial uncertainty of joint health risk of multiple trace metals in rice grain in Jiaxing city, China. Environmental Science: Processes & Impacts. 17(1): 120-130. https://doi.org/10.1039/c4em00513a 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. https://doi.org/10.2136/sssaj2014.02.0067 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. https://doi.org/10.2136/sssaj2013.05.0177 Qu M.K., Li W.D.*, Zhang C.R., 2014. Spatial distribution and uncertainty assessment of potential ecological risks of soil heavy metals using sequential Gaussian simulation. Human and Ecological Risk Assessment: An International Journal. 20(3): 764-778. https://doi.org/10.1080/10807039.2013.770352 Qu M.K., Li W.D., Zhang C.R., Huang B.*, Zhao Y.C., 2014. Estimating the pollution risk of cadmium in soil using a composite soil environmental quality standard. The Scientific World Journal. 750879. http://dx.doi.org/10.1155/2014/750879 Qu M.K.*, Li W.D., Zhang C.R., Wang S.Q., Yang Y., He L.Y., 2013. Source apportionment of heavy metals in soils using multivariate statistics and geostatistics. Pedosphere. 23(4): 437-444. http://dx.doi.org/10.1016/S1002-0160(13)60036-3 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. http://dx.doi.org/10.1016/j.ecoinf.2013.04.001 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. http://dx.doi.org/10.1016/j.ecoinf.2012.06.005 Qu M.K., Li W.D.*, Zhang C.R., Wang S.Q.*, 2012. Effect of Land Use Types on the Spatial Prediction of Soil Nitrogen. GIScicence & Remote Sensing. 49(3): 397-411. http://dx.doi.org/10.2747/1548-1603.49.3.397 Qu M.K., Li W.D.*, Zhang C.R., Zhao Y.C., Huang B., 2014. County-Scale Spatial Variability of Macronutrient Availability Ratios in Paddy Soils. Applied and Environmental Soil Science. 689482. http://dx.doi.org/10.1155/2014/689482 瞿明凯*,李卫东,张传荣,黄标,胡文友,2013.基于受体模型和地统计学相结合的土壤镉污染源解析.中国环境科学.33(5): 854-860. 瞿明凯,李卫东*,张传荣,黄标,2014.地理加权回归及其在土壤和环境科学上的应用前景.土壤.46(1): 15-22. 李锦芬,瞿明凯*,黄标,刘刚,赵永存,孙维侠,胡文友.2017.区域土壤CEC与相关控制因子的空间非平稳关系评估.土壤学报.54(3): 638-646. http://dx.doi.org/10.11766/trxb201606300245 李锦芬,瞿明凯*,刘刚,黄标.2018.县域尺度土壤铜的有效性及相关影响因素评估.环境科学.39(1): 363-370.http://dx.doi.org/10.13227/j.hjkx.201705182 王燕,瞿明凯*,陈剑,杨兰芳,黄标,赵永存.2019.基于GWRK的土壤有效磷空间预测及其超标风险评估.中国环境科学.39(1): 249-256. http://dx.doi.org/10.19674/j.cnki.issn1000-6923.2019.0031 陈剑,瞿明凯*,王燕,万梦雪,黄标,赵永存.2019.长三角平原区县域土壤磷素流失风险及其空间不确定性的快速评估.生态学报.39(24): 9131-9142.http://dx.doi.org/10.5846/stxb201810072156 刘宏波,瞿明凯*,张健琳,康俊锋,赵永存,黄标.2021.土壤污染物源解析技术研究进展.环境监控与预警.http://dx.doi.org/10.3969/j.issn.1674-6732.2021.01.001 张健琳,瞿明凯*,陈剑,杨兰芳,赵永存,黄标.2021.中国西南地区金属矿开采对矿区土壤重金属影响的Meta分析.环境科学.http://dx.doi.org/10.13227/j.hjkx.202012226

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