光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2014年
6期
1660-1666
,共7页
土壤%总铬%高光谱反演模型
土壤%總鉻%高光譜反縯模型
토양%총락%고광보반연모형
Soil%Total chromium%Hyperspectral inversion model
高光谱遥感技术已成为当前遥感领域的前沿技术，因其高分辨率的特点，可利用地物反射光谱特征定量反演地物的物理化学性质。目前土壤环境质量愈来愈受到关注，土壤重金属含量与土壤环境质量安全密切相关，以往土壤高光谱遥感技术研究多注重于土壤有机成分如土壤碳氮的光谱反演模型，对土壤重金属含量的高光谱反演研究普遍较少。土壤重金属污染已经成为影响土壤质量安全的关键因素，对土壤重金属尤其是污染元素普查是当务之急。传统土壤重金属的测试方法要求条件较高，测试周期较长，试图建立土壤高光谱与土壤铬元素（ICP-MS测定）含量之间的定量预测模型，以实现土壤铬元素的快速准确预测。采集福州市土壤样品135个，对土壤样品在350～2500 nm的光谱反射率进行倒数、对数、微分等六种变换，筛选出对土壤总铬含量敏感的光谱波段，最后获得福州土壤铬元素高光谱反演优化模型。研究结果表明：亚热带红壤总铬的敏感光谱波段为：可见光520～530 nm和近红外1440～1450，2010～2020，2230～2240 nm；亚热带地区土壤总铬-高光谱反演的优化模型为：y＝120．768e-7．037x（相关系数R为0．568，均方根误差为0．619μg·g-1，检验相关系数R为0．484，均方根误差为1．426μg·g-1），该模型可以用于福州地区土壤全铬的光谱快速监测。
高光譜遙感技術已成為噹前遙感領域的前沿技術，因其高分辨率的特點，可利用地物反射光譜特徵定量反縯地物的物理化學性質。目前土壤環境質量愈來愈受到關註，土壤重金屬含量與土壤環境質量安全密切相關，以往土壤高光譜遙感技術研究多註重于土壤有機成分如土壤碳氮的光譜反縯模型，對土壤重金屬含量的高光譜反縯研究普遍較少。土壤重金屬汙染已經成為影響土壤質量安全的關鍵因素，對土壤重金屬尤其是汙染元素普查是噹務之急。傳統土壤重金屬的測試方法要求條件較高，測試週期較長，試圖建立土壤高光譜與土壤鉻元素（ICP-MS測定）含量之間的定量預測模型，以實現土壤鉻元素的快速準確預測。採集福州市土壤樣品135箇，對土壤樣品在350～2500 nm的光譜反射率進行倒數、對數、微分等六種變換，篩選齣對土壤總鉻含量敏感的光譜波段，最後穫得福州土壤鉻元素高光譜反縯優化模型。研究結果錶明：亞熱帶紅壤總鉻的敏感光譜波段為：可見光520～530 nm和近紅外1440～1450，2010～2020，2230～2240 nm；亞熱帶地區土壤總鉻-高光譜反縯的優化模型為：y＝120．768e-7．037x（相關繫數R為0．568，均方根誤差為0．619μg·g-1，檢驗相關繫數R為0．484，均方根誤差為1．426μg·g-1），該模型可以用于福州地區土壤全鉻的光譜快速鑑測。
고광보요감기술이성위당전요감영역적전연기술，인기고분변솔적특점，가이용지물반사광보특정정량반연지물적물이화학성질。목전토양배경질량유래유수도관주，토양중금속함량여토양배경질량안전밀절상관，이왕토양고광보요감기술연구다주중우토양유궤성분여토양탄담적광보반연모형，대토양중금속함량적고광보반연연구보편교소。토양중금속오염이경성위영향토양질량안전적관건인소，대토양중금속우기시오염원소보사시당무지급。전통토양중금속적측시방법요구조건교고，측시주기교장，시도건립토양고광보여토양락원소（ICP-MS측정）함량지간적정량예측모형，이실현토양락원소적쾌속준학예측。채집복주시토양양품135개，대토양양품재350～2500 nm적광보반사솔진행도수、대수、미분등륙충변환，사선출대토양총락함량민감적광보파단，최후획득복주토양락원소고광보반연우화모형。연구결과표명：아열대홍양총락적민감광보파단위：가견광520～530 nm화근홍외1440～1450，2010～2020，2230～2240 nm；아열대지구토양총락-고광보반연적우화모형위：y＝120．768e-7．037x（상관계수R위0．568，균방근오차위0．619μg·g-1，검험상관계수R위0．484，균방근오차위1．426μg·g-1），해모형가이용우복주지구토양전락적광보쾌속감측。
With the high requirements and long test cycle of traditional testing method of soil heavy metal,this paper tries to es-tablish the quantitative prediction model between soil hyperspectral and soil chromium content(tested by ICP-MS)to realize the prediction of soil chromium element quickly and accurately.The paper studied the hyperspectral response characteristics of red soil,with 135 soil samples in Fuzhou city.After monitoring the hypersectral reflection of soil samples with ASD (analytical spectral device)and total chromium contents with ICP-MS,the paper gained the spectral reflection data between 350 and 2 500 nm and soil total chromium contents.Then the paper treated the hyperspectral reflection data with 6 mathematic changes such as reciprocal logarithmic change,differentials and continuum removal in advance.The next step was to calculate the correlation co-efficient of soil chromium and the above spectral information,and select the sensitive spectral bands according to the highest cor-relation coefficient.Finally,six kinds of models were selected to build the soil total chromium content model,and the final opti-mal mathematic model between soil chromium and hyperspectral information was significantly determined.Results showed that 520~530,1 440~1 450,2 010~2 020,and 2 230~2 240 nm were the main sensitive bands to soil total chromium,y=120. 768e-7. 037x was the optimal soil total chromium predicting model(in the model,the correlation coefficient R and the RMSE of total chromium were 0. 568 and 0. 619μg·g-1 ,and the inspection correlation coefficient R and the RMSE were 0. 484μg·g-1 and 1. 426μg·g-1 respectively).The model can be used to rapidly monitor soil total chromium with hyperspectral reflection in Fuzhou area.
