红枫湖地表水中多环芳烃的分布及来源

将固相微萃取与气相色谱联用，对贵阳红枫湖水样中16种美国环境保护署优控的多环芳烃进行分析。结果表明：红枫湖水中16种多环芳烃总量为0167 1~0336 4 μg/L，与国内其它水系相比，湖中存在多环芳烃轻度污染。7种（萘、荧蒽、苯并(b)荧蒽、苯并(k)荧蒽、苯并(a)芘、茚并(1,2,3-cd)芘和苯并(ghi)苝）多环芳烃的总量未超出中国城市供水行业对多环芳烃规定的限值，但作为饮用水源，红枫湖水中的苯并(a)芘含量已超出我国标准GB3838-2002中生活饮用水地表水源地的苯并(a)芘限值，并且苯并(a)蒽、〖JX-*9〗〖SX（B-25x〗〖HT7，5”〗艹〖〗〖HT6”，5”〗屈〖HT5”〗〖SX）〗〖JX*9〗、苯并(b)荧蒽、苯并(k)荧蒽、苯并(a)芘、茚并(1,2,3-cd)芘的含量也超过了美国环境保护署地表水水质标准限值。通过多环芳烃特征参数的比值，分析了红枫湖水中多环芳烃的污染来源。污染源分析表明，湖中多环芳烃的主要来源为燃烧源，包括木材、煤以及化石燃料的燃烧，同时也有一部分多环芳烃是来源石油类物质的输入.     

一株苯酚降解菌的分离鉴定及响应面法优化其固定化

从太原市焦化厂废水活性污泥中分离、筛选出一株苯酚降解细菌,经生理生化反应和16S rRNA鉴定,该菌株为Diaphorobacter属细菌,命名为PD-07.代谢机制研究表明,苯酚可诱导该菌合成邻苯二酚2,3-加氧酶降解苯酚.为了提高该菌株对苯酚的降解率,以海藻酸钙为材料,对该菌株进行包埋固定化研究.首先采用Plackett–Burman实验设计筛选出影响固定化菌株苯酚降解率的关键因素,然后采用最陡爬坡实验逼近最大苯酚降解率响应区域.最后用Box–Behnken实验设计及响应面回归分析,应用二次方程对实验数据进行拟合得,拟合曲线与实验实测值相关性良好,最佳条件为海藻酸钠浓度3.83%(m/V)、CaCl2 0.3mol/L、菌胶比1:26.73、固定化时间2h、摇床转速180r/min、培养温度30℃、初始pH值7.2、液固比4.86:1,在此条件下苯酚降解率可达96.89%.     

Effect of water pH and total dissolved solids on the species diversity of pelagic zooplankton in lakes: A statistical analysis

Statistical analysis of the combined influence of lake surface area (S), water pH, and total dissolved solids (TDS) on the formation of zooplankton communities in lakes has been made on the basis of available data on the number of species (N _sp ) of pelagic zooplankton in 256 lakes of the temperate zone of Europe, Asia, and North America. Graphic analysis and analysis of variance have shown that extremely high or extremely low values of pH and TDS inhibit lake zooplankton. If the value of one of these factors is extremely high, any increase in the other factor is favorable for the inhibited zooplankton, and this second factor determines the value of N _sp .     

基于Landsat 8遥感数据的天津市地表温度反演

以Landsat 8遥感数据为数据源,进行天津市地表温度反演研究。首先采用单通道算法反演地表温度,并利用均值标准差法进行温度分级。然后建立不同温度等级面积比例的估算模型。再通过随机样点,从不同温度等级和土地覆盖类型2个角度,分别建立并比较不同类样点的地表温度与各指数的拟合模型。结果表明:次高温区域面积比例与人口密度、人均GDP都具有较高的决定系数;地表温度与NDVI、BAEM的二元线性回归决定系数高于地表温度与单一指数的决定系数;将样点分类后,低温点与MNDBI的决定系数高于其他温度等级样点,水域和植被样点与各种指数的决定系数高于其他地物类型样点。     

武汉月湖和莲花湖表层沉积物中持久性有机物的污染状况

采用气－质联用技术分析了武汉汉阳月湖和莲花湖的4个表层沉积物样品中的有机污染物,探讨了两湖沉积物受持久性有机物污染的程度。月湖中共检测出124种有机物,其中属环境优先控制污染物和美国EPA筛选的内分泌干扰物19种;莲花湖中共检测出186种有机物,环境优先控制污染物和美国EPA筛选的内分泌干扰物34种。主要污染物包括：酞酸酯、酯类、酚类、杂环和苯及其衍生物等。污染物浓度顺序为L1＞L2＞Y2＞Y1,莲花湖中有机物浓度明显高于月湖。两湖邻苯二甲酸酯的含量最高,占了污染物总量的96%~98%,邻苯二甲酸乙基己基酯（平均值 17 59903 ng/g 干重）和邻苯二甲酸二丁酯（平均值 2 515.76 ng/g 干重）是两湖沉积物中的主要酞酸酯类污染物。     

竹制填料生物接触氧化工艺处理污染河水简

针对受污染的湖溪河水质特征,以传统弹性塑料填料做对比,研究以竹球和竹丝为填料的生物接触氧化工艺,考察填料的挂膜时间、生物量和污水处理效果;确定连续曝气和间歇曝气时反应器的最优运行工况：连续曝气时为HRT=7.5 h,DO=3 mg/L;间歇曝气时为厌氧1.2 h、好氧6.3 h交替运行。实验结果表明,与弹性塑料填料相比,竹制填料挂膜速度快,竹球填料的水处理效果最好;连续曝气最优工况下竹球填料反应器中COD、TN、NH₃-N和TP的平均去除率分别为66.7%、47.9%、57.1%和30.6%;间歇曝气最优工况下竹球填料反应器中COD、TN、NH₃-N和TP的平均去除率分别64.08%、39.95%、60.7%和54.68%;竹制填料可替代传统的塑料填料作为生物接触氧化工艺的载体填料。     

多氯联苯的气相色谱/质谱/质谱(GC/MS/MS)法测定

采用气相色谱/质谱/质谱(GC/MS/MS)法测定多氯联苯(PCB),具有良好的灵敏度和选择性,在地表水样品检测时,样品只须进行简单的液液萃取-浓缩,不须任何净化过程即可上机分析,方法检出限低于ng/L级。     

PREDICTING MEASUREMENT ERROR OF AREAL MEAN PRECIPITATION DURING EXTREME EVENTS1

ABSTRACT: The areal mean precipitation (AMP) over a catchment is normally calculated using point measurements at rainfall gages. Error in AMP estimates occurs when an insufficient number of gages are used to sample precipitation which is highly variable in space. AMP error is investigated using historic, severe rainfalls with a set of hypothetical catchments and raingage networks. The potential magnitude of error is estimated for typical gage network densities and arrangements. Possible sources of error are evaluated, and a method is proposed for predicting the magnitude of error using data that are commonly available for severe, historic rainfall.     

COMPUTATION OF UNSTEADY FLOWS IN THE ALABAMA RIVER1

ABSTRACT: An application is described of the branch-network flow model, BRANCH, to the upper Alabama River system in central Alabama. The model is used to simulate one-dimensional unsteady flows and water surface elevations in approximately 60 river miles of the Alabama River system. Preliminary calibration was made using 72 hours of observed data. Simulated discharges are about 10 percent lower than observed discharges at higher discharge rates and computed flows lag observed flows by about 30 minutes.     

COMPARISON OF PROCESS‐BASED AND ARTIFICIAL NEURAL NETWORK APPROACHES FOR STREAMFLOW MODELING IN AN AGRICULTURAL WATERSHED1

ABSTRACT: The performance of the Soil and Water Assessment Tool (SWAT) and artificial neural network (ANN) models in simulating hydrologic response was assessed in an agricultural watershed in southeastern Pennsylvania. All of the performance evaluation measures including Nash‐Sutcliffe coefficient of efficiency (E) and coefficient of determination (R²) suggest that the ANN monthly predictions were closer to the observed flows than the monthly predictions from the SWAT model. More specifically, monthly streamflow E and R² were 0.54 and 0.57, respectively, for the SWAT model calibration period, and 0.71 and 0.75, respectively, for the ANN model training period. For the validation period, these values were ?0.17 and 0.34 for the SWAT and 0.43 and 0.45 for the ANN model. SWAT model performance was affected by snowmelt events during winter months and by the model's inability to adequately simulate base flows. Even though this and other studies using ANN models suggest that these models provide a viable alternative approach for hydrologic and water quality modeling, ANN models in their current form are not spatially distributed watershed modeling systems. However, considering the promising performance of the simple ANN model, this study suggests that the ANN approach warrants further development to explicitly address the spatial distribution of hydrologic/water quality processes within watersheds.