高密度污泥工艺在水处理中的应用

高密度污泥水处理工艺可使污泥生成量减少到十分之一左右，极大地减轻了污泥处理的负担；污泥的沉降和脱水性能得到改善，有可能不再需要投加混凝剂的工序。     

简析超声波声能密度对污泥减量的影响

介绍了超声波用于污泥减量的机理,研究了超声波声能密度对污泥减量的影响.研究表明当超声波频率为200 KHz,声能密度1.1W/mL,t=300 s,MISS减少率max=28.3%;SCOD从30 mg/L上升到110 mg/L.在声能密度0.22 W/mL时,t=450 s,MISS减少率max=12.8%;SCOD从30 mg/L上升到85 mg/L.另外,试验中还发现大功率超声波不利于提高污泥的脱水能力.     

生态条件和瘤胃菌丛密度与纤维分解的关系

在自行设计装配的人工模拟瘤胃发酵装置内，用90523-1瘤胃菌丛进行瘤胃体外发酵试验，结果表明纤维素的分解与瘤胃细菌的密度及其类群变化有着密切关系，都受生态环境条件的制约。在发酵温度40℃，搅拌速度为60～70r／min的条件下搅动20min／h，C／N为10：1的生态条件环境中的细菌密度和纤维素分解率都高于相同生态条件的其它梯度组。     

时域反射仪结合土钻法测定土壤容重

土壤水分是土地持续利用、水资源规划与管理、环境化学、节水农业技术研究的基础。介绍了时域反射仪（TDR）及其测定土壤水分的方法及应用，并利用时域反射仪结合土钻法测定土壤容重，与经典的环刀法测定土壤容重进行了比较，结果表明：两种测定结果存在一定的差异，TDR结合土钻法测定土壤容重能连续测定而且稳定性好。     

电力系统的污闪问题及防护

重点介绍了有关防污闪机理,深入研究并探讨了四种防污闪的常用技术和方法,分析了绝缘子从积污、湿润到闪络的详细过程,并通过附盐密度法绘制了盐密与闪络电压的关系,为防污闪工作提供理论指导。     

西北地区雷暴气候特征分析

雷电产生于中尺度对流天气系统,具有明显的局地和时效特征,对西北地区气象站点历史雷暴资料的统计发现,夏季最强,春秋次之,冬季几乎无雷暴发生;地理分布呈三大中心区;与海拔高度、经度、纬度的相关分析及年际变化分析表明,地形地势是影响该地区雷暴的主要因子.高原上的雷暴云较其它地区容易产生冰雹,冰雹日数与雷暴日数比值最大为0.36.西北夏季大部分地方的闪电密度小于1个.km-2.a-1,夏季3个月的闪电密度有3个最强中心,新疆西部是最强的闪电密度中心,超过9个.km-2.a-1,7月中心最强,6月次之,8月较弱.     

Microbial fuel cells: Advances in electrode modifications for improvement of system performance

There is an increasing trend to conduct the researches related to Microbial Fuel Cells (MFCs) in the recent years. Limited power output has been the major obstacle for the practical application and upscaling of MFCs. Attempts have been made on electrode modifications such as anode treatments, cathode modifications with catalysts and bio cathodes developments to produce varying degrees of improved output current depending upon the types of modifications. Power density and Coulombic efficiency have been considered as the important parameters to analyze the system performances. This paper overviews on the advances made in MFCs’ researches focusing on different types of electrodes modifications along with the involved methodology. Furthermore, the system performances of different modified MFCs are compared in terms of the power density and the Coulombic efficiency.     

典型湖泊水华特征及相关影响因素分析

通过2011-2015年对太湖、巢湖和滇池水华高发季节的连续监测，以藻类密度和水华面积为判据评价了3个湖体的水华情况及变化趋势，探讨了水华发生的主要影响因素。结果表明：太湖水华程度以"轻度水华"为主，巢湖水华程度以"轻微水华"为主，滇池水华程度以"中度水华"为主；太湖、巢湖和滇池水华规模均以"零星性水华"为主；太湖和巢湖藻类密度与水温、pH、溶解氧、总氮、总磷和高锰酸盐指数均呈显著正相关，与透明度呈显著负相关，与氨氮无显著相关性；滇池藻类密度与水温、总磷和高锰酸盐指数均呈显著正相关，与透明度和氨氮呈显著负相关，与pH、溶解氧和总氮无显著相关性。     

Toward accurate and precise estimates of lion density

Reliable estimates of animal density are fundamental to understanding ecological processes and population dynamics. Furthermore, their accuracy is vital to conservation because wildlife authorities rely on estimates to make decisions. However, it is notoriously difficult to accurately estimate density for wide‐ranging carnivores that occur at low densities. In recent years, significant progress has been made in density estimation of Asian carnivores, but the methods have not been widely adapted to African carnivores, such as lions (Panthera leo). Although abundance indices for lions may produce poor inferences, they continue to be used to estimate density and inform management and policy. We used sighting data from a 3‐month survey and adapted a Bayesian spatially explicit capture‐recapture (SECR) model to estimate spatial lion density in the Maasai Mara National Reserve and surrounding conservancies in Kenya. Our unstructured spatial capture‐recapture sampling design incorporated search effort to explicitly estimate detection probability and density on a fine spatial scale, making our approach robust in the context of varying detection probabilities. Overall posterior mean lion density was estimated to be 17.08 (posterior SD 1.310) lions >1 year old/100 km², and the sex ratio was estimated at 2.2 females to 1 male. Our modeling framework and narrow posterior SD demonstrate that SECR methods can produce statistically rigorous and precise estimates of population parameters, and we argue that they should be favored over less reliable abundance indices. Furthermore, our approach is flexible enough to incorporate different data types, which enables robust population estimates over relatively short survey periods in a variety of systems. Trend analyses are essential to guide conservation decisions but are frequently based on surveys of differing reliability. We therefore call for a unified framework to assess lion numbers in key populations to improve management and policy decisions.     

Effects of publication bias on conservation planning

Conservation planners need reliable information on spatial patterns of biodiversity. However, existing data sets are skewed because some ecosystems, taxa, and locations are underrepresented. We determined how many articles have been published in recent decades on the biodiversity of different countries and their constituent provinces. We searched the Web of Science catalogues Science Citation Index (SCI) and Social Science Citation Index (SSCI) for biodiversity-related articles published from 1993 to 2016 that included country and province names. We combined data on research publication frequency with other provincial-scale factors hypothesized to affect the likelihood of research activity (i.e., economic development, human presence, infrastructure, and remoteness). Areas that appeared understudied relative to the biodiversity expected based on site climate likely have been inaccessible to researchers for reasons, notably armed conflict. Geographic publication bias is of most concern in the most remote areas of sub-Saharan Africa and South America. Our provincial-scale model may help compensate for publication biases in conservation planning by revealing the spatial extent of research needs and the low cost of redoing this analysis annually.