Phenanthrene was solubiliaed in two different nonionic surfactants, Tween80 and Triton X-100, The bioavailability of phenanthrene to the bactcria isolated from the petrolcum contaminated soils was studied based on the rotary flasks experiments. The results showed that the concentraton of nonjonic sufactaots above the cntical micele concentraion (CMC) ran increase the solubility of phenanthree in water and were innoxious to the phenanthrene-degrading bacteria; phenanthree solubiliacd in the micelles of Tween 80 was bioavailahle and biodegradahle. The rescarch demonstruted the potential of sufactant-cnhanced bioremediation of soils contaminated by hydrophobic organic compounds(HOCs).

A proper design of the architecture of Artificial Neural Network (ANN) models can provide a robust tool in water resources modeling and forecasting. The performance of different neural networks in a groundwater level forecasting is examined in order to identify an optimal ANN architecture that can simulate the decreasing trend of the groundwater level and provide acceptable predictions up to 18 months ahead. Messara Valley in Crete (Greece) was chosen as the study area as its groundwater resources have being overexploited during the last fifteen years and the groundwater level has been decreasing steadily. Seven different types of network architectures and training algorithms are investigated and compared in terms of model prediction efficiency and accuracy. The different experiment results show that accurate predictions can be achieved with a standard feedforward neural network trained with the Levenberg–Marquardt algorithm providing the best results for up to 18 months forecasts.

Migration of pollutants in soils obeys the advection-dispersion law in the direction of decreasing the concentration. However, some of the organic chemicals carried by capillary water in air-dried soils could show unusual reversing distribution, i.e. concentration close to the pollution source seemed lower while the highest concentration appeared far from the pollution source. Column tests were carried out to verify the reversing phenomena of concentration distribution, and solutions of phenol, a detergent (LAS), Vitamin-C, CI and Ca 2+ were utilized to investigate the migration regulation. It was found that the reversing phenomena could occur only in air-dried soils affected by capillary flow and depended on the chemical properties and vapor-phase of pollutants, but the soil properties or arrangement, or combination of soil layers did not affect the reversing phenomena.

运用驯化的反硝化混合菌群进行了苯系化合物（BTEx）的厌氧降解试验。结果表明，混合菌群能够在反硝化条件下有效降解苯、甲苯、乙苯、邻二甲苯、问二甲苯和对二甲苯。BTEX的降解规律符合底物抑制的Monod模型，当初始浓度小于50mg•L-1时，6种受试基质的厌氧降解速率顺序为：甲苯>乙苯>间二甲苯>邻二甲苯>对二甲苯>苯。整个试验过程中NO3的消耗与苯、甲苯、乙苯、邻二甲苯、间二甲苯及对二甲苯生物降解之间的摩尔比分别为：9．47，9．26，11．14，12．46，13．36，13．02。混合菌群厌氧降解BTEX时需要NO3为电子受体进行起始反应，能够以NO3或NO2为电子受体进一步降解生成的中间产物。

研究了两级曝气生物滤池处理生活污水时各级的快速启动和在低负荷下活性保持的能力。考察了出水中主要污染物和生物滤池内生物量随时间的变化情况。结果表明，碳氧化生物滤池从低负荷恢复时，所需要的时间与活性保持时的负荷大小有关，负荷越小，所需要的时间越长。在极端情况下，恢复时间接近一次完全启动的时间。因此碳氧化生物滤池的低度负荷维持并没有太大的实际意义。而硝化生物滤池在低负荷下活性保持良好，重新启动仅需要完全启动1/10的时间，这就有可能以低度成本实现硝化生物滤池的活性保持。

运用充分曝气后的好氧末端活性污泥进行了厌氧释磷实验。结果表明，在厌氧释磷过程中VSS呈现出上升的趋势，而MLsS及灰分均呈现出下降的趋势。当微生物体内的糖原耗尽时，会引起厌氧吸收HAc及释磷过程的中断，得出△pP/△PPB、△PGLY/△PPHB、△PP、△cOD、△PPHB，△cOD各比值的平均值分别为O．48、O．50、O．44、O．92。通过对厌氧吸收卧c及释磷动力学过程进行模拟，得到QHAc，max为1641mg•g-1•h-1，QP，max为69．9mg•g-1•h-1，KGYL为O．005，KcoD为3mg•L-1．△IDP，△COD与溶液中pH呈明显的线性关系，且得到了二者之间的线性方程。

通过在堆肥中加入经过驯化的降解菌这种土壤有机污染生物修复技术，对堆肥中多环芳烃的浓度变化进行监测，从而了解降解菌对堆肥中多环芳烃的降解作用。实验结果表明，降解菌的加入能明显地提高多环芳烃的降解率，本次实验中，菲、芴的去除率提高了25%左右，芘的却除率提高了约45%。

以菲（p11E）为典型多环芳烃（PAHs），利用PAHs优势降解菌，研究了非离子表面活性剂Tween20（TW20）对PAHs类疏水性有机物生物降解过程的影响结果表明，Tw20对PHE其有较好的增溶效果；Tw20具有很好的生物降解性；不同浓度的TW20存在情况下，降解菌对PHE都有很好的去除效果。TW20可以用于PAHs污染的生物修复。

由于地下水污染的加剧，对地下水中污染物运移规律的研究日益受到重视。地下水中的溶质在运移过程中伴随着溶质组分司的化学反应，因此需要建立地下水溶质运移与化学反应的耦合模型。PHREEQC是近年来发展起来的描述局部平衡反应、动态生物化学反应的水文地球化学模拟软件。本文利用该模拟软件对一维地下水流动过程中溶质离子交换反应和动态氧化还原反应进行了模拟。结果表明，PHREEQC能够成功地进行溶质运移情况下复杂水化学反应模拟，但对于复杂地下水流和溶质运动的情况，有必要耦合其它的地下水流动和溶质运移软件来共同完成。

采用3种典型非离子表面活性剂（Tween80、Tween20和Triton X100），对4种典型多环芳烃萘（naphtha-lene）、菲（phenanthrene）、芴（fluorene）和芘（pyrene）进行了溶解特性研究结果表明，非离子表面活性剂对多环芳烃具有较好的增溶效果，在浓度太于临界胶束浓度（CMC）时，多环芳烃的溶解度与表面活性剂浓度成正比例线性相关通过质量溶解率（WSR）的比较，确定3种非离子表面活性剂对多环芳烃的增溶效果为Triton X-100>Tween80>Tween20，与其HLB值负相关在非离子表面活性剂溶液中，多环芳烃的正辛醇水分配系数（Kow）与其胶束一水分配系数（Km）呈现良好的线性相关关系。