中国环境科学
中國環境科學
중국배경과학
CHINA ENVIRONMENTAL SCIENCE
2014年
12期
3157-3163
,共7页
刘庚%王尚义%牛俊杰%张朝%赵鑫%郭观林
劉庚%王尚義%牛俊傑%張朝%趙鑫%郭觀林
류경%왕상의%우준걸%장조%조흠%곽관림
污染场地%三维插值%污染评价%不确定性
汙染場地%三維插值%汙染評價%不確定性
오염장지%삼유삽치%오염평개%불학정성
contaminated site%3-D interpolation%pollution evaluation%uncertainty
为准确界定污染场地土壤中污染物三维分布范围和受污染土壤土方量并提供相关技术方法和思路,以某典型铅酸蓄电池污染场地为例,对比研究了不同三维插值模型(三维克里格、反距离加权、最邻近点)在不同水平垂直向异性系数设置,对土壤铅污染评价和污染边界分布的影响。研究结果显示,不同模型预测的精度不同,随着水平垂直比值增大,平均误差和均方根误差有增大趋势;通过对比修复目标表明,反距离加权统计的受污染土方量最大,其次是三维克里格和最邻近点,统计值相差约为13%;从污染评价结果和预测精度来看,三维克里格模型和反距离加权要优于最邻近点,选择适宜的模型和合理的参数设置对准确界定污染边界和降低不确定性具有重要影响。
為準確界定汙染場地土壤中汙染物三維分佈範圍和受汙染土壤土方量併提供相關技術方法和思路,以某典型鉛痠蓄電池汙染場地為例,對比研究瞭不同三維插值模型(三維剋裏格、反距離加權、最鄰近點)在不同水平垂直嚮異性繫數設置,對土壤鉛汙染評價和汙染邊界分佈的影響。研究結果顯示,不同模型預測的精度不同,隨著水平垂直比值增大,平均誤差和均方根誤差有增大趨勢;通過對比脩複目標錶明,反距離加權統計的受汙染土方量最大,其次是三維剋裏格和最鄰近點,統計值相差約為13%;從汙染評價結果和預測精度來看,三維剋裏格模型和反距離加權要優于最鄰近點,選擇適宜的模型和閤理的參數設置對準確界定汙染邊界和降低不確定性具有重要影響。
위준학계정오염장지토양중오염물삼유분포범위화수오염토양토방량병제공상관기술방법화사로,이모전형연산축전지오염장지위례,대비연구료불동삼유삽치모형(삼유극리격、반거리가권、최린근점)재불동수평수직향이성계수설치,대토양연오염평개화오염변계분포적영향。연구결과현시,불동모형예측적정도불동,수착수평수직비치증대,평균오차화균방근오차유증대추세;통과대비수복목표표명,반거리가권통계적수오염토방량최대,기차시삼유극리격화최린근점,통계치상차약위13%;종오염평개결과화예측정도래간,삼유극리격모형화반거리가권요우우최린근점,선택괄의적모형화합리적삼수설치대준학계정오염변계화강저불학정성구유중요영향。
In order to define the three dimensional distribution of pollutant and contaminated earth volume in contaminated sites, and provide the relative technical methods and ideas, a typical lead-acid battery contaminated site was studied as an example. The influence of different three dimensional interpolation models (Krig-3D, Inverse Distance Weighted (IDW), Nearest Neighbor (NN)) in different horizontal and vertical anisotropy coefficient setting conditions on Pb pollution assessment and boundary distribution was examined. Different models had different predictive accuracy, the mean error and root mean square error raised, with the increasing of vertical and horizontal ratio. Furthermore, comparison between the results and the remediation target indicated that the contaminated earth volume was largest by IDW statistical model, followed by Krig-3D and NN models, the statistical values differed by 13%. In terms of the contaminated evaluation results and prediction accuracy, the Krig-3D and IDW were better than NN models. Thus, the selections of the appropriate models and rational parameters had very important effects on the accuracy definition of pollution boundary and reducing uncertainty. This result provided important basis for guiding the remediation and management of the contaminated sites.