Temporal–Spatial Distributions and Influencing Factors of Heavy Metals As, Cd, Pb, and Zn in Alluvial Soils on a Regional Scale in Guangxi, China
暂无分享,去创建一个
Xueqiu Wang | Mingzhi Tian | Q. Chi | Dongsheng Liu | Qiang Wang | Jian Zhou | Futian Liu | Yuchuan Qiao | Chao Wu | Yining Zhou
[1] Xueqiu Wang,et al. Spatial-temporal variability and influence factors of Cd in soils of Guangxi, China , 2023, PloS one.
[2] Xueqiu Wang,et al. Temporal Variations of Sediment Provenance in a Karst Watershed, China , 2023, Applied Sciences.
[3] Shuyi Ren,et al. The spatiotemporal variation in heavy metals in China's farmland soil over the past 20 years: A meta-analysis. , 2021, The Science of the total environment.
[4] Yan Zhang,et al. Quantitative source apportionment, risk assessment and distribution of heavy metals in agricultural soils from southern Shandong Peninsula of China. , 2021, The Science of the total environment.
[5] Syed Abdul Wadood,et al. Source apportionment of cadmium pollution in agricultural soil based on cadmium isotope ratio analysis , 2020 .
[6] N. Jain,et al. A review on soil heavy metals contamination: Effects, sources and remedies , 2020 .
[7] Kelin Wang,et al. Fingerprinting sediment sources in a typical karst catchment of southwest China , 2020, International Soil and Water Conservation Research.
[8] Chutian Zhang,et al. Modeling the spatial variations in anthropogenic factors of soil heavy metal accumulation by geographically weighted logistic regression. , 2020, The Science of the total environment.
[9] Yongzhang Zhou,et al. Heavy metal(loid)s in the topsoil of urban parks in Beijing, China: Concentrations, potential sources, and risk assessment. , 2020, Environmental pollution.
[10] Xiang-dong Li,et al. Deciphering source contributions of trace metal contamination in urban soil, road dust, and foliar dust of Guangzhou, southern China. , 2019, The Science of the total environment.
[11] Wei Li,et al. Evaluation of various approaches to predict cadmium bioavailability to rice grown in soils with high geochemical background in the karst region, Southwestern China. , 2019, Environmental pollution.
[12] R. Price,et al. Evolution of carbonate and karst critical zones , 2019, Chemical Geology.
[13] Sucai Yang,et al. Quantitative analysis of the factors influencing spatial distribution of soil heavy metals based on geographical detector. , 2019, The Science of the total environment.
[14] Yan Li,et al. [Impacts of Land Use and Landscape Patterns on Heavy Metal Accumulation in Soil]. , 2019, Huan jing ke xue= Huanjing kexue.
[15] Q. Fan,et al. Lead isotopic fingerprinting as a tracer to identify the pollution sources of heavy metals in the southeastern zone of Baiyin, China. , 2019, The Science of the total environment.
[16] M. Moradi,et al. The effect of land use configurations on concentration, spatial distribution, and ecological risk of heavy metals in coastal sediments of northern part along the Persian Gulf. , 2019, The Science of the total environment.
[17] Hanlian Liu,et al. Spatial distributions and the identification of ore-related anomalies of Cu across the boundary area of China and Mongolia , 2019, Journal of Geochemical Exploration.
[18] Lei Huang,et al. A review of soil heavy metal pollution from industrial and agricultural regions in China: Pollution and risk assessment. , 2018, The Science of the total environment.
[19] Wei Wu,et al. Assessment of heavy metal pollution and human health risks in urban soils around an electronics manufacturing facility. , 2018, The Science of the total environment.
[20] Yongfei Gao,et al. The spatial distribution and accumulation characteristics of heavy metals in steppe soils around three mining areas in Xilinhot in Inner Mongolia, China , 2017, Environmental Science and Pollution Research.
[21] G. Han,et al. Characteristics of heavy metals in soils under different land use in a typical karst area, Southwest China , 2017, Acta Geochimica.
[22] T. Nishimura,et al. A review of source tracking techniques for fine sediment within a catchment , 2017, Environmental Geochemistry and Health.
[23] J. Ji,et al. Temporal-spatial variation and source apportionment of soil heavy metals in the representative river-alluviation depositional system. , 2016, Environmental pollution.
[24] L. Zeng,et al. County-scale temporal–spatial distribution and variability tendency of heavy metals in arable soils influenced by policy adjustment during the last decade: a case study of Changxing, China , 2015, Environmental science and pollution research international.
[25] E. Solgi,et al. Analysis and assessment of nickel and chromium pollution in soils around Baghejar Chromite Mine of Sabzevar Ophiolite Belt, Northeastern Iran , 2015 .
[26] R. Pesch,et al. Modelling and mapping spatio-temporal trends of heavy metal accumulation in moss and natural surface soil monitored 1990–2010 throughout Norway by multivariate generalized linear models and geostatistics , 2014 .
[27] S. Qureshi,et al. Heavy metal content in urban soils as an indicator of anthropogenic and natural influences on landscape of Karachi—A multivariate spatio-temporal analysis , 2014 .
[28] M. Cracknell,et al. Mapping geology and volcanic-hosted massive sulfide alteration in the Hellyer–Mt Charter region, Tasmania, using Random Forests™ and Self-Organising Maps , 2014 .
[29] Zongwei Ma,et al. A review of soil heavy metal pollution from mines in China: pollution and health risk assessment. , 2014, The Science of the total environment.
[30] M. Wiesmeier,et al. Degradation and small-scale spatial homogenization of topsoils in intensively-grazed steppes of Northern China , 2009 .
[31] R. M. Lark,et al. Spatio-temporal variability of some metal concentrations in the soil of eastern England, and implications for soil monitoring. , 2006 .
[32] S. Qi,et al. Heavy metals in agricultural soils of the Pearl River Delta, South China. , 2002, Environmental pollution.
[33] Xie Xuejing,et al. Geochemical mapping in China , 1997 .
[34] Xuejing Xie,et al. The suitability of floodplain sediment as a global sampling medium: evidence from China , 1997 .
[35] Xie Xuejing,et al. Usable Values for Chinese Standard Reference Samples of Stream Sediments, Soils, and Rocks: GSD 9‐12, GSS 1‐8 and GSR 1‐6 , 1985 .
[36] Emmanuel John M. Carranza,et al. Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines) , 2015, Comput. Geosci..
[37] J. Ramos-Miras,et al. Impact of 70 years urban growth associated with heavy metal pollution. , 2015, Environmental pollution.
[38] Xueqiu Wang,et al. China geochemical baselines: Sampling methodology , 2015 .
[39] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[40] Wang Xueqiu. Global Geochemical Baselines: Understanding the past and predicting the future , 2012 .
[41] Z. Qin,et al. Analytical scheme and quality monitoring system for China Geochemical Baselines , 2012 .
[42] W. Ping,et al. Occurrence, speciation, source and geochemical cycle of arsenic. , 2010 .
[43] Luo Li-qiang. Geochemical Characteristics and Research Direction of Arsenic , 2009 .
[44] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[45] L. Breiman. Random Forests , 2001, Machine Learning.
[46] Zhu Hui. Lead and its variation in wet deposition of Qingdao , 2001 .