畜禽养殖中沙门氏菌污染的PCR快速检测

针对畜禽养殖是造成农村水环境生物性污染的主要原因,指出用常规生化检测技术耗时长、效率低,不能满足环境管理的要求：应用PCR技术检测沙门氏菌,特异性高、敏感性强、耗时短,与常规分离鉴定方法比较,完全符合实验证明,PCR技术可很好的应用于沙门氏菌污染的调查与监测。     

城市主干道交通噪声影响因素分析

选取了沈阳市lO条主干道,通过实地调查监测与文献资料分析相结合的方法,分析了主干道交通噪声的影响因素,结果表明,车流量与车型是影响城市主干道交通噪声的重要因素,并提出控制城市主干道交通噪声的防治措施,改善声环境质量。     

超高盐高磷废水磷酸盐还原系统构建过程中磷系统转化分析研究

针对现有除磷技术存在的问题,以高盐高磷榨菜腌制废水为研究对象,探讨了磷酸盐生物还原系统构建过程中磷形态的转化.结果表明,以3%的盐度(以NaCl计,下同)废水启动反应器,通过两阶段盐度逐步提升法,在进水有机负荷(COD)0.45kg.(m3.d)-1,磷负荷(PO43--P)5.0 g.(m3.d)-1,DO 6 mg.L-1,水温30℃,且未排泥的条件下,成功构建了超高盐(7%盐度)条件下的磷酸盐还原系统.通过该磷酸盐还原系统运行26个周期中,对磷平衡及污泥中磷形态转化进行研究.结果表明,系统中平均每日有41.8 mg.L-1的外源磷损失,而污泥中共有155 mg的内源磷通过磷形态转化以及磷酸盐还原途径损失,占外源磷损失量的14.2%,占系统磷损失总量的12.5%.系统构建过程中污泥的磷形态主要以Org-P→NaOH85-P→HCl-P→NaOH-P→BD-P→H2O-P途径进行转化.     

新时期医疗废物处置技术体系的变革及发展

近20年来,我国在推进医疗废物无害化管理和处理处置方面开展了大量的工作,成绩举世瞩目。但处于新的历史时期,如何更好地基于可行技术,探索与其相匹配的管理模式,解决医疗废物处理处置短板已成为迫在眉睫的工作。我国目前存在针对医疗废物处理处置技术适用性考虑不足、农村及偏远地区医疗废物处置能力缺乏、医疗废物应急处置能力存在短板以及医疗废物领域科技创新能力有待提升等问题。因此,结合各种医疗处置技术特点及适用性,提出基于技术的适用性推进医疗废物处理处置技术布局优化、通过管理和技术进步解决农村和边远地区医疗废物处置难题、合理配置疫情期间应急处置能力以及推进科技创新等建议,为打造新时期医疗废物处理处置技术体系提供参考。     

城乡交错带土地利用方式对土壤理化性质的影响

以长沙市南郊山地丘陵区为研究对象,选择7种不同土地利用方式（次生林地、经济林地、杉木人工林、采伐迹地、撂荒地、苗圃地、坡耕地）研究了城乡交错带不同土地利用方式对土壤理化性质的影响。结果表明：7种土地利用方式下,土壤颗粒组成主要集中在1～0.05 mm和＜0.001 mm两个粒级范围内,土壤质地以重壤土和轻粘土为主。随着人为干扰程度的减弱,土壤砂粒（1.0～0.05 mm）、土壤粉粒（0.05～0.01 mm）百分率逐渐下降,＜0.01 mm的土壤物理性粘粒百分率增加。自然、半自然状态利用方式的林地（次生林地、经济林地、杉木人工林地）土壤总孔隙度、含水量普遍较高,土壤密度低于坡耕地、苗圃地、撂荒地、采伐迹地,而土壤pH值、有机质含量及氮、磷、钾含量普遍高于坡耕地、苗圃地、撂荒地、采伐迹地     

基于Bishop条分法的多点多向地震动作用下边坡稳定性分析

以人工合成的多点、多向地震加速度时程作为地震动输入,基于Bishop条分法推导了地震边坡稳定安全系数的表达公式。在此基础上,针对某一具体算例,分析了不同地震峰值加速度下的不同坡高边坡稳定安全系数的变化规律,并与单点、单向地震动输入的结果进行了对比。结果表明,对于本文给出的算例,在坡高与地震峰值加速度都相同的条件下,多点、多向地震作用下的边坡安全系数要大于单点、单向作用下的安全系数;当坡高小于30 m、地震峰值加速度小于0.1 g时,多点、多向地震动作用下的边坡安全系数与单点、单向相差不大;当坡高大于30 m、地震峰值加速度大于0.1 g时,多点、多向地震动作用下的边坡安全系数相对单点、单向要小36%以上,此时边坡稳定性评价必须考虑地震动的多点、多向特性。     

海油陆采HSE管理初探＊

文章阐述了国内外海油陆采HSE管理现状,通过分析总结滩海油气生产设施从设计到投入使用全过程HSE管理经验,归纳整理出可借鉴的HSE管理技术,为中国石油海油陆采油田HSE文化的培育提供了有益的建议。     

低山丘陵区水土保持治理与生态环境效应

分析了低山丘陵区水土流失等级分布，水土流失的形成原因及危害，指出低山丘陵区水土流失综合治理要以小流域综合治理为主，阐明小流域水土流失的规律性，以及根据小流域3个地貌单元类型按“三条带”模式进行综合治理：山顶林草防治、山腰经济林带整治、山脚坡改梯治理的技术措施，着重论述综合治理的生态环境效应：明显地保水保土保肥，在降雨量相同的情况下等高种植、坡改梯、封山育林雨强明显小于坡耕地，起始产流时间延迟，径流量减少近2/3，土壤侵蚀量明显比坡耕地少得多。土壤侵蚀携带养分，坡耕地损失量最大，等高种植全氮、全磷的损失量最小；坡改梯有机质、有效氮、速效钾流失量较少，说明坡改梯的保肥效果优于等高种植。林草植被对改善生态系统的环境效应和提高生物多样性功能，为低山丘陵区生态环境恢复和农业可持发展奠定基础。     

Defining the Impact of Non‐Native Species

Non‐native species cause changes in the ecosystems to which they are introduced. These changes, or some of them, are usually termed impacts; they can be manifold and potentially damaging to ecosystems and biodiversity. However, the impacts of most non‐native species are poorly understood, and a synthesis of available information is being hindered because authors often do not clearly define impact. We argue that explicitly defining the impact of non‐native species will promote progress toward a better understanding of the implications of changes to biodiversity and ecosystems caused by non‐native species; help disentangle which aspects of scientific debates about non‐native species are due to disparate definitions and which represent true scientific discord; and improve communication between scientists from different research disciplines and between scientists, managers, and policy makers. For these reasons and based on examples from the literature, we devised seven key questions that fall into 4 categories: directionality, classification and measurement, ecological or socio‐economic changes, and scale. These questions should help in formulating clear and practical definitions of impact to suit specific scientific, stakeholder, or legislative contexts. Definiendo el Impacto de las Especies No‐Nativas     

The role of digital data entry in participatory environmental monitoring

Many argue that monitoring conducted exclusively by scientists is insufficient to address ongoing environmental challenges. One solution entails the use of mobile digital devices in participatory monitoring (PM) programs. But how digital data entry affects programs with varying levels of stakeholder participation, from nonscientists collecting field data to nonscientists administering every step of a monitoring program, remains unclear. We reviewed the successes, in terms of management interventions and sustainability, of 107 monitoring programs described in the literature (hereafter programs) and compared these with case studies from our PM experiences in Australia, Canada, Ethiopia, Ghana, Greenland, and Vietnam (hereafter cases). Our literature review showed that participatory programs were less likely to use digital devices, and 2 of our 3 more participatory cases were also slow to adopt digital data entry. Programs that were participatory and used digital devices were more likely to report management actions, which was consistent with cases in Ethiopia, Greenland, and Australia. Programs engaging volunteers were more frequently reported as ongoing, but those involving digital data entry were less often sustained when data collectors were volunteers. For the Vietnamese and Canadian cases, sustainability was undermined by a mismatch in stakeholder objectives. In the Ghanaian case, complex field protocols diminished monitoring sustainability. Innovative technologies attract interest, but the foundation of effective participatory adaptive monitoring depends more on collaboratively defined questions, objectives, conceptual models, and monitoring approaches. When this foundation is built through effective partnerships, digital data entry can enable the collection of more data of higher quality. Without this foundation, or when implemented ineffectively or unnecessarily, digital data entry can be an additional expense that distracts from core monitoring objectives and undermines project sustainability. The appropriate role of digital data entry in PM likely depends more on the context in which it is used and less on the technology itself.