A Bayesian hierarchical approach to quantifying stakeholder attitudes toward conservation in the presence of reporting error

Stakeholder support is vital for achieving conservation success, yet there are few reliable mechanisms to monitor stakeholder attitudes toward conservation. Approaches used to assess attitudes rarely account for bias arising from reporting error, which can lead to falsely reporting a positive attitude toward conservation (false-positive error) or not reporting a positive attitude when the respondent has a positive attitude toward conservation (false-negative error). Borrowing from developments in applied conservation science, we used a Bayesian hierarchical model to quantify stakeholder attitudes as the probability of having a positive attitude toward wildlife notionally (or in abstract terms) and at localized scales while accounting for reporting error. We compared estimates from our model, Likert scores, and naïve estimates (i.e., proportion of respondents reporting a positive attitude in at least 1 question that was only susceptible to false-negative error) with true stakeholder attitudes through simulations. We then applied the model in a survey of tea estate staff on their attitudes toward Asian elephants (Elephas maximus) in the Kaziranga–Karbi Anglong landscape of northeast India. In simulations, Bayesian model estimates of stakeholder attitudes toward wildlife were less biased than naïve estimates or Likert scores. After accounting for reporting errors, we estimated the probability of having a positive attitude toward elephants notionally as 0.85 in the Kaziranga landscape, whereas the proportion of respondents who had positive attitudes toward elephants at a localized scale was 0.50. In comparison, without accounting for reporting errors, naïve estimates of proportions of respondents with positive attitudes toward elephants were 0.69 and 0.23 notionally and at local scales, respectively. False (positive and negative) reporting probabilities were consistently not 0 (0.22–0.68). Regular and reliable assessment of stakeholder attitudes–combined with inference on drivers of positive attitudes–can help assess the success of initiatives aimed at facilitating human behavioral change and inform conservation decision making.     

Emergent conservation outcomes of shared risk perception in human-wildlife systems

Human perception of risks related to economic damages caused by nearby wildlife can be transmitted through social networks. Understanding how sharing risk information within a human community alters the spatial dynamics of human-wildlife interactions has important implications for the design and implementation of effective conservation actions. We developed an agent-based model that simulates farmer livelihood decisions and activities in an agricultural landscape shared with a population of a generic wildlife species (wildlife-human interactions in shared landscapes [WHISL]). In the model, based on risk perception and economic information, farmers decide how much labor to allocate to farming and whether and where to exclude wildlife from their farms (e.g., through fencing, trenches, or vegetation thinning). In scenarios where the risk perception of farmers was strongly influenced by other farmers, exclusion of wildlife was widespread, resulting in decreased quality of wildlife habitat and frequency of wildlife damages across the landscape. When economic losses from encounters with wildlife were high, perception of risk increased and led to highly synchronous behaviors by farmers in space and time. Interactions between wildlife and farmers sometimes led to a spillover effect of wildlife damage displaced from socially and spatially connected communities to less connected neighboring farms. The WHISL model is a useful conservation-planning tool because it provides a test bed for theories and predictions about human-wildlife dynamics across a range of different agricultural landscapes.     

Determination of 27 pharmaceuticals and personal care products (PPCPs) in water: The benefit of isotope dilution

• Isotope dilution method was developed for the determination of 27 PPCPs in water. • The established method was successfully applied to different types of water samples. • The correction effect of corresponding 27 ILSs over 70 d was investigated. • Benefit of isotopic dilution method was illustrated for three examples. Pharmaceuticals and personal care products (PPCPs) are a unique group of emerging and non-persistent contaminants. In this study, 27 PPCPs in various water samples were extracted by solid phase extraction (SPE), and determined by isotope dilution method using liquid chromatography coupled to tandem triple quadruple mass spectrometer (LC-MS/MS). A total of 27 isotopically labeled standards (ILSs) were applied to correct the concentration of PPCPs in spiked ultrapure water, drinking water, river, effluent and influent sewage. The corrected recoveries were 73%–122% with the relative standard deviation (RSD)<16%, except for acetaminophen. The matrix effect for all kinds of water samples was<22% and the method quantitation limits (MQLs) were 0.45–8.6 ng/L. The developed method was successfully applied on environmental water samples. The SPE extracts of spiked ultrapure water, drinking water, river and wastewater effluent were stored for 70 days, and the ILSs-corrected recoveries of 27 PPCPs were obtained to evaluate the correction ability of ILSs in the presence of variety interferences. The recoveries of 27 PPCPs over 70 days were within the scope of 72%–140% with the recovery variation<37% in all cases. The isotope dilution method seems to be of benefit when the extract has to be stored for long time before the instrument analysis.     

基于污泥堆肥产物与余泥渣土制备的人工土壤的理化性质分析与评价

为实现污水厂污泥及余泥渣土的协同处理和资源化利用,以“两步法”制备人工土壤,考察不同配比条件对人工土壤理化性质的影响。结果表明：污水污泥与3种不同辅料 (玉米秸秆、菌菇渣、木屑) 配比后进行好氧堆肥,堆肥结束后腐熟度符合国家相关标准要求,将污泥堆肥产物和余泥渣土制备得到人工土壤,其理化性质与天然土壤类似。堆肥添加量能显著影响人工土壤水稳性团聚体、pH值、EC、有机质、总氮及有效磷含量,在人工土壤种植应用时,污泥+玉米秸秆的堆肥种植效果最好,采用改进的内罗梅综合指数法进行综合评价,综合考虑,污泥+玉米秸秆堆肥产物添加量为30%、余泥渣土添加量为70%和污泥+玉米秸秆堆肥产物添加量为50%、余泥渣土添加量为50%是最优质的人工土壤,污泥+木屑堆肥次之,污泥+菌菇渣堆肥效果最差。     

高速微涡活性污泥法提高氧利用效率的研究

概述了高速微涡活性污泥法的工艺特点，并对该法提高氧的转移及利用效率进行了研究和机理分析。     

生物接触氧化结合气浮法处理卷烟综合废水

某卷烟厂采用生物接触氧化结合气浮法处理卷烟综合废水,经过3年的运行实践表明,工艺运行稳定可靠,在进水COD为300～1 500 mg/L、SS为100～600 mg/L、BOD5为100～900 mg/L、NH3-N为10～20 mg/L、水温为20～30 ℃时,出水COD《70 mg/L、BOD5《20 mg/L、SS《30 mg/L、NH3-N《3 mg/L,完全实现达标排放.     

建筑陶瓷行业SO2污染物评价及总量控制实用方法

采用高斯点源模型对建陶生产造成的SO2地面浓度增量进行计算.利用比例下降模型计算建陶业的SO2允许排放总量,并根据企业的设备生产能力进行了总量分配,在方法上具有较强的可操作性,计算结果表明,可有效降低所在地区的SO2地面浓度.     

浙江省环境保护及相关产业现状分析及发展思路

通过对浙江省环境保护及相关产业现状的调查,基本摸清了当前全省环境保护产品、资源综合利用、环境保护服务和洁净产业等4个方面的发展情况,并从规模、地域、产业结构和效益等方面对其当前发展中存在的问题进行了全面分析,找出其发展过程中存在的问题.结合当前浙江"生态省"建设的现状,提出了浙江省环保相关产业发展的对策和思路,为决策和管理部门提供环境保护及相关产业健康快速发展的科学参考.     

UniTank工艺流程氨氮浓度的动态特征

利用基于ASM2D的数学模型对上海石洞口污水厂UniTank工艺内氨氮浓度的动态特性进行了仿真研究,发现该流程反应器氨氮浓度具有非稳态特征.反应器内氨氮浓度的变化规律与曝气时间设定及进水时间设定有关.增加曝气强度,能降低边池及中池的氨氮浓度,相应增大边池及中池的硝态氮浓度.     

荧光化学传感器的制备及其在环境分析监测中的应用

随着荧光分析技术和传感技术的发展,荧光化学传感器已经成为一种重要的连续分析测量装置.它具有很高的选择性和灵敏度,可以实现对pH、溶解氧、含氮化合物、有毒害重金属离子、有机污染物进行实时和在线测定,因此在环境分析监测方面具有广泛的应用前景.简要介绍了荧光化学传感器的原理、制备及分类,综述了近年来荧光化学传感器的发展及其在环境分析监测中的最新研究成果,并探讨了荧光化学传感器在环境分析监测领域的应用前景和发展方向.