Identifying key needs for the integration of social–ecological outcomes in arctic wildlife monitoring

For effective monitoring in social–ecological systems to meet needs for biodiversity, science, and humans, desired outcomes must be clearly defined and routes from direct to derived outcomes understood. The Arctic is undergoing rapid climatic, ecological, social, and economic changes and requires effective wildlife monitoring to meet diverse stakeholder needs. To identify stakeholder priorities concerning desired outcomes of arctic wildlife monitoring, we conducted in-depth interviews with 29 arctic scientists, policy and decision makers, and representatives of indigenous organizations and nongovernmental organizations. Using qualitative content analysis, we identified and defined desired outcomes and documented links between outcomes. Using network analysis, we investigated the structure of perceived links between desired outcomes. We identified 18 desired outcomes from monitoring and classified them as either driven by monitoring information, monitoring process, or a combination of both. Highly cited outcomes were make decisions, conserve, detect change, disseminate, and secure food. These reflect key foci of arctic monitoring. Infrequently cited outcomes (e.g., govern) were emerging themes. Three modules comprised our outcome network. The modularity highlighted the low strength of perceived links between outcomes that were primarily information driven or more derived (e.g., detect change, make decisions, conserve, or secure food) and outcomes that were primarily process driven or more derived (e.g., cooperate, learn, educate). The outcomes expand monitoring community and disseminate created connections between these modules. Key desired outcomes are widely applicable to social–ecological systems within and outside the Arctic, particularly those with wildlife subsistence economies. Attributes and motivations associated with outcomes can guide development of integrated monitoring goals for biodiversity conservation and human needs. Our results demonstrated the disconnect between information- and process-driven goals and how expansion of the monitoring community and improved integration of monitoring stakeholders will help connect information- and process-derived outcomes for effective ecosystem stewardship.     

铵盐气溶胶对烟气排放连续监测系统颗粒物比对监测的影响研究

利用拉曼光谱对采样后的滤筒进行分析,发现废气中的硫酸铵-硫酸氢铵气溶胶是造成成都市部分企业烟气排放连续监测系统(CEMS)颗粒物比对监测结果不合格的主要原因。通过比较分析得出:在对含硫酸铵-硫酸氢铵气溶胶废气进行颗粒物浓度比对监测时,参比方法(重量法)测定的颗粒物浓度是一定标干采样体积下废气中固体微粒和硫酸铵-硫酸氢铵液体微粒结晶后产生的晶体的总质量,基于光散射法的CEMS颗粒物浓度测试系统测定的颗粒物浓度只是一定标干采样体积下废气中固体微粒的质量,由此导致参比方法测出的颗粒物浓度远大于CEMS测出的浓度,造成比对误差远超出允许值范围。     

生态环境监测中高锰酸盐指数测定影响因素分析研究

文中从水浴时间、计时开始方式和溶液酸度3个方面,对环保部标准样品研究所低、中、高3个已知浓度标准样品进行实验分析。结果表明,在加入5 mL 1+3硫酸,从每锅第一个样品放入水浴锅开始计时和最佳水浴时间为29 min条件下,所测定的高锰酸盐指数值具有较高的准确度和精密度。     

工业园区水污染源精细化管控系统的应用

针对工业园区污水排放监管问题,以北京某园区为例,提出了水污染源精细化管控方案。按照多级防控的思路,在企业级、管网级、园区级建成在线监测系统和精细化管控平台,实现园区水环境监管的全覆盖,有效监控企业排污动态,实时掌握园区污水排放状况,为企业、园区管理部门和环保管理部门提供决策支持。     

提高自动监控运维管理质量的若干思考

针对排污企业在线自动监控系统管理存在主体责任履行不到位,第三方运维企业人员流动性大且技术素质参差不齐等问题,对照污染源自动监控系统相关法律法规和标准,结合多年的污染源自动监控系统监督核查管理经验,提出排污企业应尽量安装同一品牌同一型号的自动监控设施、建立针对第三方的监督考核机制,运维企业应制定长期有效的管理机制、建立自动监控设施运行动态管理台账等建议,以提升企业自动监控系统管理水平,确保自动监控数据真实、合法、有效,为企业生态环境管理决策提供有力支持。     

Catalyzing sustainable fisheries management through behavior change interventions

Small-scale fisheries are an important livelihood and primary protein source for coastal communities in many of the poorest regions in the world, yet many are overfished and thus require effective and scalable management solutions. Positive ecological and socioeconomic responses to management typically lag behind immediate costs borne by fishers from fishing pressure reductions necessary for fisheries recovery. These short-term costs challenge the long-term success of these interventions. However, social marketing may increase perceptions of management benefits before ecological and socioeconomic benefits are fully realized, driving new social norms and ultimately long-term sustainable behavior change. By conducting underwater visual surveys to quantify ecological conditions and by conducting household surveys with community members to quantify their perceptions of management support and socioeconomic conditions, we assessed the impact of a standardized small-scale fisheries management intervention that was implemented across 41 sites in Brazil, Indonesia, and the Philippines. The intervention combines TURF reserves (community-based territorial use rights for fishing coupled with no-take marine reserves) with locally tailored social-marketing behavior change campaigns. Leveraging data across 22 indicators and 4 survey types, along with data from 3 control sites, we found that ecological and socioeconomic impacts varied and that communities supported the intervention and were already changing their fishing practices. These results suggest that communities were developing new social norms and fishing more sustainably before long-term ecological and socioeconomic benefits of fisheries management materialized.     

污染源水质自动监测系统数据质量保障措施研究

近年来,在我国工业化规模不断扩大、工业项目不断增多的影响下,水资源的污染问题愈发严峻,对人们的生命健康安全造成了巨大影响。所以,水质监测部门要充分利用先进的水质监测技术和设备,对污染源水质实施连续不间断的监测,有效提高水质监测数据质量。本文主要提出了几点保障污染源水质自动监测系统数据质量的措施,供相关人员借鉴采纳。     

全自动消解-电感耦合等离子体质谱法测定土壤中16种元素

采用HNO_3-HF-HClO_4消解体系,建立了全自动消解-电感耦合等离子体质谱仪测定土壤中~(75)As、~9Be、~(51)V、~(55)Mn、~(59)Co、~(60)Ni、~(63)Cu、~(66)Zn、~(98)Mo、~(111)Cd、~(138)Ba、~(205)Tl、~(208)Pb、~(107)Ag、~(52)Cr、~(121)Sb等16种元素的新方法。通过碰撞池技术和编辑干扰元素校正方程有效校正了质谱干扰,并用内标校正了土壤基体干扰。用土壤标准物质GSS-13验证该方法,其校准曲线相关系数大于0.999 9,方法检出限在0.005~0.5μg/g之间,RSD为0.22%~2.35%,加标回收率为92%~114%。采用该方法测定实际土壤样品,加标回收率为93%~123%。     

支撑排污许可制度的固定源监测技术体系完善研究

排污许可制度是固定源核心管理制度,对污染源监测技术提出"便捷、智能、精细"的发展要求,依规发证、依证管理2个阶段均需要污染源监测技术的有效支撑。针对当前污染源监测技术体系现状,应进一步完善自行监测技术指南体系,对发证行业指南实施情况跟踪评估,适时修订;为将工业园区纳入核发排污许可证范围扎牢基础,制定工业园区自行监测技术指南;加快构建支撑证后监管执法的快速便捷方法标准体系和现场快速监测质控体系;加快构建智能化监测数据管理平台,实现"智慧大脑"功能;建立自行监测监督检查技术体系,强化排污许可制度框架下的自行监测质量的监督检查。     

Efficacy of extracting indices from large‐scale acoustic recordings to monitor biodiversity

Passive acoustic monitoring could be a powerful way to assess biodiversity across large spatial and temporal scales. However, extracting meaningful information from recordings can be prohibitively time consuming. Acoustic indices (i.e., a mathematical summary of acoustic energy) offer a relatively rapid method for processing acoustic data and are increasingly used to characterize biological communities. We examined the relationship between acoustic indices and the diversity and abundance of biological sounds in recordings. We reviewed the acoustic‐index literature and found that over 60 indices have been applied to a range of objectives with varying success. We used 36 of the most indicative indices to develop a predictive model of the diversity of animal sounds in recordings. Acoustic data were collected at 43 sites in temperate terrestrial and tropical marine habitats across the continental United States. For terrestrial recordings, random‐forest models with a suite of acoustic indices as covariates predicted Shannon diversity, richness, and total number of biological sounds with high accuracy (R² ≥ 0.94, mean squared error [MSE] ≤170.2). Among the indices assessed, roughness, acoustic activity, and acoustic richness contributed most to the predictive ability of models. Performance of index models was negatively affected by insect, weather, and anthropogenic sounds. For marine recordings, random‐forest models poorly predicted Shannon diversity, richness, and total number of biological sounds (R² ≤ 0.40, MSE ≥ 195). Our results suggest that using a combination of relevant acoustic indices in a flexible model can accurately predict the diversity of biological sounds in temperate terrestrial acoustic recordings. Thus, acoustic approaches could be an important contribution to biodiversity monitoring in some habitats.