长江流域资源与环境 >> 2017, Vol. 26 >> Issue (04): 591-597.doi: 10.11870/cjlyzyyhj201704012
李杨1, 李海东1, 施卫省2, 何俊德1, 胡亚文1
LI Yang1, LI Hai-dong1, SHI Wei-sheng2, HE Jun-de1, HU Ya-wen1
摘要: 采用单隐层RBF神经网络模型预测土壤重金属Cr、As、Ni、Pb、Zn 5种元素的含量,实测35组数据做为训练数据,另用6组做验证数据,该模型是以利用采样的10组数据预测其后的连续5组数据,输入层的神经元个数是10,输出层是5,隐含层的传递函数为径向基函数radbas,输出层的传递函数为线性函数Purelin,其结果表明:采用RBF神经网络模型预测有较高的精度。通过多元统计分析采样样品与预测样品,研究区域As、Ni、Zn的均值超过了上海市土壤环境背景值,As元素达到高度变异,Pb、Zn、Ni 3种元素达到中度变异。通过因子分析,前2个因子基本包含了全部元素变量的主要信息,第1因子中载荷最高是元素Ni(0.946),第2因子中则为元素As(0.930)。通过潜在生态风险指数评价,研究区域整体呈轻度生态风险水平。采用RBF神经网络模型可以降低采样分析成本,更好的评价区域土壤重金属的生态风险。
中图分类号:
[1] 蔡立梅,马瑾,周永章,等.东莞市农业土壤重金属的空间分布特征及来源解析[J].环境科学,2008,29(12):3496-3502.[CAI L M,MA J,ZHOU Y Z,et al.Multivariate geostatistics and GIS-based approach to study the spatial distribution and sources of heavy metals in agricultural soil in the Pearl River Delta,China[J].Environmental Science,2008,29(12):3496-3502.] [2] YALCIN M G,ILHAN S.Multivariate analyses to determine the origin of potentially harmful heavy metals in beach and dune sediments from Kizkalesi coast (Mersin),Turkey[J].Bulletin of Environmental Contamination and Toxicology,2008,81(1):57-68. [3] 庞妍,同延安,梁连友,等.矿区农田土壤重金属分布特征与污染风险研究[J].农业机械学报,2014,45(11):165-171.[PANG Y,TONG Y A,LIANG L Y,et al.Distribution of farmland heavy metals and pollution assessment in mining area[J].Transactions of the Chinese Society for Agricultural Machinery,2014,45(11):165-171.] [4] KELEPERTZIS E.Accumulation of heavy metals in agricultural soils of Mediterranean:insights from Argolida basin,Peloponnese,Greece[J].Geoderma,2014,221-222:82-90. [5] DRAGOVIĆ R,GAJIĆ B,DRAGOVIĆ S,et al.Assessment of the impact of geographical factors on the spatial distribution of heavy metals in soils around the steel production facility in Smederevo (Serbia)[J].Journal of Cleaner Production,2014,84:550-562. [6] 张钰,王让会,李成.基于BP神经网络的表层土壤重金属分布模拟[J].安全与环境工程,2014,21(2):51-56.[ZHANG Y,WANG R H,LI C.Distribution simulation of heavy metals in surface soil based on BP neural network[J].Safety and Environmental Engineering,2014,21(2):51-56.] [7] PÉREZ-ROA R,CASTRO J,JORQUERA H,et al.Air-pollution modelling in an urban area:correlating turbulent diffusion coefficients by means of an artificial neural network approach[J].Atmospheric Environment,2006,40(1):109-125. [8] LI B L,ZHANG Y F,SHI X L,et al.Spatial interpolation method based on integrated RBF neural networks for estimating heavy metals in soil of a mountain region[J].Journal of Southeast University,2015,31(1):38-45. [9] 段宁,杨思言,魏婉婷.基于BP神经网络的铅酸蓄电池厂地下水重金属浓度预测[J].环境科学与技术,2016,39(1):194-198.[DUAN N,YANG S Y,WEI W T.Prediction of heavy metal concentrations of the groundwater from a lead-acid battery factory based on BP neural network[J].Environmental Science&Technology,2016,39(1):194-198.] [10] 王芬,彭国照,蒋锦刚,等.基于双层神经网络与GIS可视化的土壤重金属污染评价[J].农业工程学报,2010,26(4):162-168.[WANG F,PENG G Z,JIANG J G,et al.Pollution assessment of heavy metals based on double-layer BPNN and GIS visualization[J].Transactions of the CSAE,2010,26(4):162-168.] [11] 魏复盛,齐文启.原子吸收光谱及其在环境分析中的应用[M].北京:中国环境科学出版社,1988. [12] 陈秋平,胥思勤,孙浩然,等.锑矿区土壤As和Sb形态分布及生态风险评价[J].地球与环境,2014,42(6):773-778.[CHEN Q P,XU S Q,SUN H R,et al.Speciation distribution and ecological risk assessment of antimony and arsenic in soils of the antimony mining area[J].Earth and Environment,2014,42(6):773-778.] [13] 李磊,李剑,马建华.RBF神经网络在土壤重金属污染评价中的应用[J].环境科学与技术,2010,33(5):191-195.[LI L,LI J,MA J H.Pollution assessment of heavy metals in soils based on RBF neural network[J].Environmental Science&Technology,2010,33(5):191-195.] [14] 姜菲菲,孙丹峰,李红,等.北京市农业土壤重金属污染环境风险等级评价[J].农业工程学报,2011,27(8):330-337.[JIANG F F,SUN D F,LI H,et al.Risk grade assessment for farmland pollution of heavy metals in Beijing[J].Transactions of the CSAE,2011,27(8):330-337.] [15] 戴彬,吕建树,战金成,等.山东省典型工业城市土壤重金属来源、空间分布及潜在生态风险评价[J].环境科学,2015,32(6):507-515.[DAI B,LV J S,ZHAN J Z,et al.Assessment of sources,spatial distribution and ecological risk of heavy metals in soils in a typical industry-based city of Shandong province,Eastern China[J].Environmental Science,2015,36(6):507-515.] [16] 厉炯慧,翁珊,方婧,等.浙江海宁电镀工业园区周边土壤重金属污染特征及生态风险分析[J].环境科学,2014,35(4):1509-1515.[LI J H,WENG S,FANG J,et al.Heavy metal pollution characteristics and ecological risk analysis for soil around Haining electroplating industrial park[J].Environmental Science,2014,35(4):1509-1515.] [17] 刘勇,岳玲玲,李晋昌.太原市土壤重金属污染及其潜在生态风险评价[J].环境科学学报,2011,31(6):1285-1293.[LIU Y,YUE L L,LI J C.Evaluation of heavy metal contamination and its potential ecological risk to the soil in Taiyuan,China[J].Acta Scientiae Circumstantiae,2011,31(6):1285-1293.] [18] 国家环境保护总局.GB 15618-1995土壤环境质量标准[S].北京:中国标准出版社,2006. [19] 中国环境监测总站.中国土壤元素背景值[M].北京:中国环境科学出版社,1990:330-485. [20] LV J S,LIU Y,ZHANG Z L,et al.Factorial kriging and stepwise regression approach to identify environmental factors influencing spatial multi-scale variability of heavy metals in soils[J].Journal of Hazardous Materials,2013,261:387-397. [21] WILDING L P.Spatial variability:its documentation,accommodation,and implication to soil surveys[M]//NIELSEN D R,BOUMA J.Soil Spatial Variability.Wageningen:Pudoc,1985:166-194. [22] WANG H Y,LU S G.Spatial distribution,source identification and affecting factors of heavy metals contamination in urban-suburban soils of Lishui city,China[J].Environmental Earth Sciences,2011,64(7):1921-1929. [23] 雷凌明,喻大松,陈玉鹏,等.陕西泾惠渠灌区土壤重金属空间分布特征及来源[J].农业工程学报,2014,30(6):88-96.[LEI L M,YU D S,CHEN Y P,et al.Spatial distribution and sources of heavy metals in soils of Jinghui Irrigated Area of Shaanxi,China[J].Transactions of the Chinese Society of Agricultural Engineering,2014,30(6):88-96.] |
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