Rethinking assessment of success of mitigation strategies for elephant-induced crop damage

Crop damage is the most common impact of negative interactions between people and elephants and poses a significant threat to rural livelihoods and conservation efforts. Numerous approaches to mitigate and prevent crop damage have been implemented throughout Africa and Asia. Despite the documented high efficacy of many approaches, losses remain common, and in many areas, damage is intensifying. We examined the literature on effectiveness of crop-damage-mitigation strategies and identified key gaps in evaluations. We determined there is a need to better understand existing solutions within affected communities and to extend evaluations of effectiveness beyond measurement of efficacy to include rates of and barriers to adoption. We devised a conceptual framework for evaluating effectiveness that incorporates the need for increased emphasis on adoption and can be used to inform the design of future crop-damage mitigation assessments for elephants and conflict species more widely. The ability to prevent crop loss in practice is affected by both the efficacy of a given approach and rates of uptake among target users. We identified the primary factors that influence uptake as local attitudes, sustainability, and scalability and examined each of these factors in detail. We argue that even moderately efficacious interventions may make significant progress in preventing damage if widely employed and recommend that wherever possible scientists and practitioners engage with communities to build on and strengthen existing solutions and expertise. When new approaches are required, they should align with local attitudes and fit within limitations on labor, financial requirements, and technical capacity.     

Modeling of a sequencing batch reactor treating municipal wastewater using multi-layer perceptron and radial basis function artificial neural networks

A sequencing batch reactor was modeled using multi-layer perceptron and radial basis function artificial neural networks (MLPANN and RBFANN). Then, the effects of influent concentration (IC), filling time (FT), reaction time (RT), aeration intensity (AI), SRT and MLVSS concentration were examined on the effluent concentrations of TSS, TP, COD and NH₄⁺-N. The results showed that the optimal removal efficiencies would be obtained at FT of 1 h, RT of 6 h, aeration intensity of 0.88 m³/min and SRT of 30 days. In addition, COD and TSS removal efficiencies decreased and TP and NH₄⁺-N removal efficiencies did not change significantly with increases of influent concentration. The TSS, TP, COD and NH₄⁺-N removal efficiencies were 86%, 79%, 94% and 93%, respectively. The training procedures of all contaminants were highly collaborated for both RBFANN and MLPANN models. The results of training and testing data sets showed an almost perfect match between the experimental and the simulated effluent of TSS, TP, COD and NH₄⁺-N. The results indicated that with low experimental values of input data to train ANNs the MLPANN models compared to RBFANN models are more precise due to their higher coefficient of determination (R²) and lower root mean squared errors (RMSE) values.     

Male-biassed response of garden chafer, Phyllopertha horticola L., to leaf alcohol and attraction of both sexes to floral plant volatiles

Summary. Field tests were performed to evaluate the response of the garden chafer, Phyllopertha horticola (Coleoptera: Scarabaeidae) to known scarab attractants and to investigate the influence of trap colour and height on the number of captured beetles. Both sexes were attracted by a lure mixture composed of geraniol, eugenol, and 2-phenylethyl propionate (PEP) (ratio 3:7:3). When testing floral volatiles individually, only geraniol, eugenol and methyl anthranilate but not PEP was attractive. Response of garden chafer to (Z)- 3-hexen-1-ol was strongly male-biassed. Both the response to floral volatiles and (Z)-3-hexen-1-ol was increased by using funnel traps with yellow instead of grey vanes. Traps positioned at 50 and 125 cm above ground captured significantly more garden chafers than those at 200 cm. The strongly male-biassed response to (Z)-3-hexen-1-ol suggests that in P. horticola (subfamily Rutelinae) orientation towards plant volatiles emitted upon mechanical damage of plants is part of the male mate finding strategy as recently demonstrated for cockchafers of the genus Melolontha (subfamily Melolonthinae). Possible application of plant volatiles for control of P. horticola is discussed.     

基于N，N─二甲基苯胺与NO_2~－─对氨基苯磺酸重氮盐的偶联反应示波极谱法测定NO_2~－

报道了利用Ｎ，Ｎ─二甲基苯胺为偶联试剂的Ｃｒｉｅｓｓ反应以示波极谱法测定ＮＯ_２~－的测试方法。在拟定的实验条件下，ＮＯ_２~－在４．０×１０~－３～４．８×１０~－１μｇ／ｍｌ范围内与极谱波波高呈良好的线性关系。环境水测定的相对标准偏差小于ｌ％，回收率在９７％～１０１％之间。     

Preparation of rare-earth metal complex oxide catalysts for catalytic wet air oxidation

Catalytic wet air oxidation (CWAO) is one of the most promising technologies for pollution abatement. Developing catalysts with high activity and stability is crucial for the application of the CWAO process. The Mn/Ce complex oxide catalysts for CWAO of high concentration phenol-containing wastewater were prepared by coprecipitation. The catalyst preparation conditions were optimized by using an orthogonal layout method and single-factor experimental analysis. The Mn/Ce serial catalysts were characterized by Brunauer-Emmett-Teller (BET) analysis and the metal cation leaching was measured by inductively coupled plasma torch-atomic emission spectrometry (ICP-AES). The results show that the catalysts have high catalytic activities even at a low temperature (80°C) and low oxygen partial pressure (0.5 MPa) in a batch reactor. The metallic ion leaching is comparatively low (Mn<6.577 mg/L and Ce<0.6910 mg/L, respectively) in the CWAO process. The phenol, COD_Cr, and TOC removal efficiencies in the solution exceed 98.5% using the optimal catalyst (named CSP). The new catalyst would have a promising application in CWAO treatment of high concentration organic wastewater. Translated from Techniques and Equipment for Environmental Pollution Control, 2005, 6(2): 40–44 [译自: 环境污染治理技术与设备]     

高浓度废水预处理

从分析冲击炼油污水处理的原因出发，阐述了高浓度废水预处理的重要性；重点介绍了三种好氧生物法处理技术；其中ＳＢＲ法由于工程技术日趋成熟，可优先推广应用     

含柠檬酸盐电镀废水的处理

对含柠檬酸盐电镀废水的几种处理方法的比较表明,氯化钡添加法能较好地使柠檬酸盐沉淀,操作简便,处理效果理想,其柠檬酸根离子的去除率达98％以上。     

石油亚砜萃取巯基醋酸的研究

对石油亚砜(PSO)萃取巯基醋酸的条件和影响进行了实验研究,确定了石油亚砜通过氢键和巯基醋酸形成的萃合物的组成.为从废水中回收巯基醋酸以及石油硫醚的综合利用提供了依据.     

含酚废水治理方法的研究

根据含酚废水的性质，用ClO2氧化除酚，ZL—1和聚丙烯酰胺(PAM)混凝沉降除悬浮物的方法处理该废水。实验结果表明，经处理后废水中的主要污染物酚、焦油和悬浮物等去除率都很高，该水可以满足循环使用的要求。     

高级氧化技术机理及在水处理中的应用进展

综述了近年来发展迅速的高级氧化技术，主要包括Fenton法、臭氧氧化法、湿式氧化技术、超临界水氧化法、纳米光催化氧化法电化学催化降解法及超声降解法等。介绍了各种高级氧化技术的基本原理及在废水处理中的应用进展，并对其特点进行了评述。