生物质热电厂大气影响评价的研究

为确定生物质能发电环境方面的可行性,分析了生物质能发电的工艺流程,相比于火电的优缺点,并进行了生物质能热电联厂的大气环境影响评价研究。结果表明：预测评价的烟尘、SO2和NO2排放浓度分别为11,63mg／m^3、200．3mg／m^3和378．7mg／m^3,均远低于火力发电的排放值;在不同条件下、不同地点SO2和NO2的1小时、日均浓度也均远低于火力发电的浓度值。说明了生物质能发电在环境友好性方面具有明显的优势。     

农药水环境化学行为研究进展

农药在水中的环境化学行为包括农药的光化学降解、水化学降解和农药对水生生物的毒性。结合国内外在农药水环境化学行为的研究进展,讨论了农药在水中的直接光解和间接光解行为;农药水化学降解的机理以及pH、温度对农药水化学降解的影响,并以藻类、鱼类等为例阐述了农药对水生动植物及水生生物群落的毒性。     

绵竹市地表水环境质量现状及水环境容量分析

本文通过对绵竹市污染源现状调查及地表水环境现状评价,计算并分析了境内主要河流的水环境容量。绵竹市地表水环境污染较为严重,水环境容量短缺已成为绵竹市主要环境制约因素。为实现绵竹市水环境保护与经济社会的可持续发展,需及时采取污染物总量控制、工业污染防治、生活污水处理、控制农村面源污染等一系列措施。     

游憩践踏对芜湖赭山城市公园影响研究

城市生态型公园是户外游憩活动影响最集中的一个区域,特别是践踏的影响表现最为明显。对芜湖市赭山生态型城市公园的19条游憩路径进行了调查,路径总长度达3123m。分析了户外游憩活动践踏造成的影响,得出了不同的旅游路径对践踏所引起的路面变宽、植物根系暴露、多路径和路面损伤是不同的,土质路面游道受到践踏影响的程度最大,石板路面游道次之,水泥路面相对最小。城市生态型公园的道路系统建设应该适应游客的游憩需求,减少践踏对公园生态环境的影响,最大化地满足城市居民的需要。     

碳氮磷比失调对污水生物脱氮除磷的影响

我国南方城市污水普遍存在低碳相对高氮磷特征,本文介绍了同时生物脱氮除磷的机理、对碳源的需求与竞争,以及一些针对此类污水生物脱氮除磷的改进工艺及其在实际运用中的效果,并对此类污水的处理方向进行了展望。     

流域非点源分布式模型AnnAGNPS参数的不确定性研究

流域非点源分布式模型的不确定性研究成为目前的热点问题之一。本研究以宁波市章溪河流域为研究区,通过GIS软件AreView和AnnAGNPS模型,集成利用莫里斯分类筛选法,选取临界源面积、SCS曲线系数、水土保持因子、饱和导水率、氮磷吸收率、施肥量等6个因子进行敏感性分析。模拟结果表明,土壤饱和导水率、水土保持因子和径流曲线CN值对模型输出结果影响较大;水土保持因子对泥沙、总磷和总有机碳负荷的模拟结果影响最大,均呈显著负效应;径流曲线CN值对总氮负荷计算结果影响最大,呈显著正效应。     

居民为改善城市河流黑臭现象的支付意愿研究——以滏阳河衡水市区段为例

滏阳河衡水市区段严重的黑臭污染给两岸的居民造成了工作、生活舒适性的威胁, 严重破坏了周围的环境景观.本研究采用意愿调查价值评估法,以滏阳河衡水市区段沿岸人口较稠密的21个居民区为调查对象,运用调查问卷调查居民对滏阳河环境改善的支付意愿.研究结果表明:衡水市居民为改善滏阳河水体黑臭的平均支付意愿是 66.82元/(户·年),全市总支付意愿是633.8万元/年,说明全市人民对滏阳河的治理需求还是非常迫切的.     

Arsenic release from arsenic-bearing Fe-Mn binary oxide: effects of E(h) condition

Ferric and manganese binary oxide (FMBO) has been successfully used to remediate arsenic-polluted river, but there still lacks sufficient data to evaluate its effects on environments. The release behaviors of iron (Fe), manganese (Mn), and arsenic (As) in different E_h ranges were investigated for As-bearing FMBO sediment after remediating As-polluted DaSha River by FMBO. Under high E_h range (+550 to +400 mV), slight dissolution of Fe and Mn, which corresponded to 12.2% and 25.6%, and less than 5% of As release were observed in 336 h. Under lower E_h range (+50 to −100 mV), elevated extent of the dissolution of Mn and Fe were observed, which corresponded to as high as 61.3% and 70.1%. Under such conditions, the dissolution rate of Mn was higher than that of Fe. Furthermore, from the established relationship of As release and the dissolution of Fe and Mn, the release of As seemed dominated by the dissolution of Fe. X-ray photoelectron spectroscopy (XPS) analysis demonstrated the release of Fe, Mn, As(III), and As(V) after sodium ascorbate-treatment, and the re-adsorption of As(V), as indicated from the increased binding energy of As 3d from 44.78 to 45.83 eV. Surface element composition analysis indicated significant decrease of Mn from 3.22% to 0.54%, slight increase of Fe from 12.45% to 13.67%, and elevated ratio of As from 0.11% to 0.32% accordingly. The main reactions of Fe and Mn dissolution and the pathways of As release under different E_h ranges were also proposed.     

Peroxidase-mediated removal of endocrine disrupting compound mixtures from water

Several classes of oxidative enzymes have shown promise for efficient removal of endocrine disrupting compounds (EDCs) that are resistant to conventional wastewater treatments. Although the kinetics of reactions between individual EDCs and selected oxidative enzymes are well documented in the literature, there has been little investigation of reactions with EDC mixtures. This makes it impossible to predict how enzyme-mediated treatment systems will perform since wastewater effluents generally contain multiple EDCs. This paper reports pseudo-first order rate constants for a model oxidative enzyme, horseradish peroxidase (HRP), during single-substrate (k₁) and mixed-substrate (k_1-MIX) reactions. Measured values are compared with literature values of three Michaelis-Menten parameters: half-saturation constant (K_M), enzyme turnover number (k_CAT), and the ratio k_CAT/K_M. Published reports had suggested that each of these could be correlated with HRP reactivity towards EDCs in mixtures, and empirical results from this study show that K_M can be used to predict the sequence of EDC removal reactions within a particular mixture. We also observed that k_1-MIX values were generally greater than k₁ values and that compounds exhibiting greatest estrogenic toxicities reacted most rapidly in a given mixture. Finally, because K_M may be tedious to measure for every EDC of interest, we have constructed a quantitative structure-activity relationship (QSAR) model to predict these values. This model predicts K_M quite accurately (R² = 89%) based on two molecular characteristics: molecular volume and hydration energy. Its accuracy makes this QSAR a useful tool for predicting which EDCs will be removed most efficiently during enzyme treatment of EDC mixtures.     

Bioanalytical and instrumental analysis of thyroid hormone disrupting compounds in water sources along the Yangtze River

Thyroid hormone (TH) agonist and antagonist activities of water sources along the Yangtze River in China were surveyed by a green monkey kidney fibroblast (CV-1) cell-based TH reporter gene assay. Instrumental analysis was conducted to identify the responsible thyroid-active compounds. Instrumentally derived l-3,5,3′-triiodothyronine (T₃) equivalents (T₃-EQs) and thyroid receptor (TR) antagonist activity equivalents referring to dibutyl phthalate (DBP-EQs) were calculated from the concentrations of individual congeners. The reporter gene assay demonstrated that three out of eleven water sources contained TR agonist activity equivalents (TR-EQs), ranging from 286 to 293 ng T₃/L. Anti-thyroid hormone activities were found in all water sources with the TR antagonist activity equivalents referring to DBP (Ant-TR-EQs), ranging from 51.5 to 555.3 μg/L. Comparisons of the equivalents from instrumental and biological assays suggested that high concentrations of DBP and di-2-ethylhexyl phthalate (DEHP) were responsible for the observed TR antagonist activities at some locations along the Yangtze River.