滇池流域水污染防治规划与富营养化控制战略研究

根据滇池水污染防治的决策需求,在系统分析滇池水环境演变趋势和评估演变诱因的基础上,以流域水环境承载力方案及容量总量控制方案为基础,提出了滇池流域水污染防治中长期规划研究的方法体系,包括:问题驱动、调查诊断、规划基础、规划方案、评估调控、规划战略;提出了源头控制、工程控制和末端控制相结合的污染减排对策;通过构建3个尺度、8个分区及4个规划重点的流域污染减排集成体系及情景方案,来实现在2个规划期、3类水质目标、4种社会经济发展情景下的规划目标.在此基础上,提出了滇池富营养化控制的战略思路.     

乘用车内空气质量开发与管控研究

本文主要介绍了乘用车内(文中简称车内)空气质量污染源、管控项目及对应检测方法,整车制造商车内空气质量性能开发模式与管控机制。     

国内外低碳物流研究评析

随着全球化的气候问题日益严重和“低碳革命”的兴起,低碳物流已成为现代物流业发展的必然趋势.结合国内外学者对低碳物流的研究文献,从物流过程的碳排放测量、物流环节的低碳控制、物流系统的低碳设计方面系统回顾了国内外学者在低碳物流领域的研究成果,梳理了低碳物流的发展历程,并对现有的研究成果进行了分析,以期为相关学者的后续研究提供思路.     

生产操作室隔音降噪措施及控制效果的应用研究

通过对石化企业主要噪声源分布、构成情况和生产操作室隔音降噪措施琢控制效果的比较、分析，提出了生产操作室噪声控制和治理的原则、方法和设计方向。     

蛮河流域水环境容量与水污染防治对策研究

针对蛮河流域水环境污染严重的状况,在流域水质现状评价的基础上,以水环境容量为依据,制定了流域水污染物总量控制方案;并结合实际情况,提出了流域水污染防治的具体措施,指出水环境容量研究是流域水污染物总量控制的基础,实施总量控制是防治水环境污染的有效途径和重要保障。     

废水处理设施验收监测现场的质量控制

分析了废水处理设施验收监测现场存在的问题及原因，提出了验收监测现场的质控措施是正确理解和准确把握企业的生产工况、生产周期、排污周期，加强采样过程中的质量控制，保证处理设施运转正常和建立必要的回访制度。     

Evaluating unintended consequences of intentional species introductions and eradications for improved conservation management

Increasingly intensive strategies to maintain biodiversity and ecosystem function are being deployed in response to global anthropogenic threats, including intentionally introducing and eradicating species via assisted migration, rewilding, biological control, invasive species eradications, and gene drives. These actions are highly contentious because of their potential for unintended consequences. We conducted a global literature review of these conservation actions to quantify how often unintended outcomes occur and to elucidate their underlying causes. To evaluate conservation outcomes, we developed a community assessment framework for systematically mapping the range of possible interaction types for 111 case studies. Applying this tool, we quantified the number of interaction types considered in each study and documented the nature and strength of intended and unintended outcomes. Intended outcomes were reported in 51% of cases, a combination of intended outcomes and unintended outcomes in 26%, and strictly unintended outcomes in 10%. Hence, unintended outcomes were reported in 36% of all cases evaluated. In evaluating overall conservations outcomes (weighing intended vs. unintended effects), some unintended effects were fairly innocuous relative to the conservation objective, whereas others resulted in serious unintended consequences in recipient communities. Studies that assessed a greater number of community interactions with the target species reported unintended outcomes more often, suggesting that unintended consequences may be underreported due to insufficient vetting. Most reported unintended outcomes arose from direct effects (68%) or simple density-mediated or indirect effects (25%) linked to the target species. Only a few documented cases arose from more complex interaction pathways (7%). Therefore, most unintended outcomes involved simple interactions that could be predicted and mitigated through more formal vetting. Our community assessment framework provides a tool for screening future conservation actions by mapping the recipient community interaction web to identify and mitigate unintended outcomes from intentional species introductions and eradications for conservation.     

苏州储备地块土壤污染防治项目监理模式的实践与探讨

阐述了我国土壤污染防治项目监理现状,以苏州储备地块为例,分析了其土壤污染防治项目以环境监理为主,以工程监理为辅,由环境检测单位提供独立监测服务的监理模式的实践特点,以及环境监理、工程监理和环境监测各环节的实施要点。在此基础上,提出了在土壤污染防治项目实施过程中落实监理全覆盖,夯实监理的安全监管责任,以及将环境监理与工程监理有机结合,形成一套有针对性的行业监理规范等建议。     

污染场地风险管控可持续评价指标体系构建及关键影响因素分析

以可持续发展理论和风险管理理念为基本原则的污染场地可持续风险管控已成为当前国际社会场地管理的重要决策问题和研究前沿热点,为明确影响污染场地风险管控可持续发展能力的决定性因素,基于国内外污染场地可持续风险管控相关文献的系统调研,构建契合我国场地管理背景的区域污染场地风险管控可持续评价体系,通过指标综合权重计算判定影响风险管控可持续发展能力的关键因子.结果表明,区域尺度上可能影响我国污染场地风险管控可持续性的指标多达44个,涵盖环境、社会、经济和技术这4个维度,单指标影响程度为0.26%～5.01%(平均值2.27%).潜在风险和温室气体排放(环境指标)、健康与安全和公众参与(社会指标)、管控成本和环保投资(经济指标)、修复周期和修复效果(技术指标)是影响我国污染场地风险管控可持续发展的重要因子,影响程度为1.89%～5.01%(平均值3.58%).具有较强政策敏感性的指标,包括考核指标、投融资创新、名录管理、能力建设、安全利用和制度建设等,对风险管控可持续性已经产生1.18%～3.48%的正向影响,随着政策制度的深入落实与全面地域推广,其对风险管控可持续发展的助力效应将更加明显.     

Assessing the impact of biological control of Plutella xylostella through the application of Lotka–Volterra model

The Lotka–Volterra model was applied to the population densities of diamondback moth (DBM), Plutella xylostella (L.) and its exotic larval parasitoid Diadegma semiclausum (Hellen) data that was collected earlier by icipe's DBM biological control team. The collections were done for 15 months before the release and 36 months after release of the parasitoid in two areas; in Werugha, Coast Province of Kenya and Tharuni, Central Province of Kenya, respectively. For each area in pre- and post-release periods, we estimated Lotka–Volterra model parameters from the minimization of the loss function between the theoretical and experimental time-series datasets following the Nelder-Mead multidimensional method. The model estimated a reduction in the value of the steady state of DBM population from 4.86 to 2.17 in Werugha and from 6.11 to 3.76 and 3.45 (with and without exclusion of the time before D. semiclausum recovery) in Tharuni when transiting from the pre- and post-release periods, respectively. This change was a consequence of the newly introduced parasitoid, in the areas. The study presented a successful and detailed technique for non-linear model parameters restoration which was demonstrated by the correct mimicking of empirical datasets from the classical biological control with D. semiclausum, in different areas of Kenya. The applied model has measured the parasitoids impact on the DBM biological control through a quantitative estimate of the effectiveness of the newly introduced species D. semiclausum. These equations may therefore be used as tool for decision making in the implementation for such pests’ management system strategy.