混合石油烃污染土壤中准确的种类识别和含量检测有助于土壤石油烃污染总量的检测。石油烃是多种化合物的混合，而三维激发发射荧光光谱技术含有大量的荧光光谱信息，故被用于快速定性和定量检测土壤石油烃污染，但该技术仍面临着石油烃组分的准确识别以及土壤背景干扰引起的定量分析问题。本文研究了土壤石油烃污染物的三维荧光光谱复杂基质和散射效应校正方法，最大程度地保留了光谱信息。为了提高土壤石油烃定性识别和含量检测精度，本文以机油、润滑油和柴油为例，采用平行因子和交替三线性分解法对不同类型混合土壤石油烃污染进行定性和定量分析。实验结果表明，与平行因子法对土壤混合石油烃污染的检测结果相比，交替三线性分解法将土壤混合石油烃污染的平均回收率由85%提高至95%，说明交替三线性分解法能更好地分离相似荧光光谱，对土壤中石油成分和总含量的检测更有效，其可为土壤石油烃污染风险评估提供快速检测方法。

Using a measurement system based on fluorescence induced by variable pulse light, photosynthesis parameters of chlorella pyrenoidosa are obtained, employing single-turnover and multiple-turnover protocols under dark-adapted and light-adapted conditions. Under the light-adapted condition, σPSII′ is larger, and Fv′/Fm(ST)′ and Fv′/Fm(MT)′ are smaller than those of the dark-adapted condition, but the corresponding parameters possess good linear correlations. Fm(MT), Fm(MT)′, Fv/Fm(MT), and Fv′/Fm(MT)′, which are measured using the multiple-turnover protocol, are larger than those of the single-turnover protocol. The linear correlation coefficient between Fm(ST) and 300.6280 Spectroscopy, fluorescence and luminescence 010.4450 Oceanic optics 120.0120 Instrumentation, measurement, and metrology