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.     

Evaluating the Quality of Citizen‐Scientist Data on Pollinator Communities

Abstract: Concerns about pollinator declines have grown in recent years, yet the ability to detect changes in abundance, taxonomic richness, and composition of pollinator communities is hampered severely by the lack of data over space and time. Citizen scientists may be able to extend the spatial and temporal extent of pollinator monitoring programs. We developed a citizen‐science monitoring protocol in which we trained 13 citizen scientists to observe and classify floral visitors at the resolution of orders or super families (e.g., bee, wasp, fly) and at finer resolution within bees (superfamily Apoidea) only. We evaluated the protocol by comparing data collected simultaneously at 17 sites by citizen scientists (observational data set) and by professionals (specimen‐based data set). The sites differed with respect to the presence and age of hedgerows planted to improve habitat quality for pollinators. We found significant, positive correlations among the two data sets for higher level taxonomic composition, honey bee (Apis mellifera) abundance, non‐Apis bee abundance, bee richness, and bee community similarity. Results for both data sets also showed similar trends (or lack thereof) in these metrics among sites differing in the presence and age of hedgerows. Nevertheless, citizen scientists did not observe approximately half of the bee groups collected by professional scientists at the same sites. Thus, the utility of citizen‐science observational data may be restricted to detection of community‐level changes in abundance, richness, or similarity over space and time, and citizen‐science observations may not reliably reflect the abundance or frequency of occurrence of specific pollinator species or groups.     

广州市环境监测管理信息化建设中若干问题探讨

以广州市环境监测中心站推进信息化的实践为例，重点对环境监测管理信息化规划、开发和应用3个环节所涉及的信息化进程路线、应用系统开发的需求分析和推广应用等问题进行了一些探讨，提出切合自身的解决思路或办法。     

某货车侧翻水污染事件的环境损害评估方法探索

随着我国进入突发水污染事件高发期,面临的水环境形势日益严峻.为了震慑环境污染行为,保证受损的环境资源得到恢复和补偿,量化突发性水污染事件造成的经济损失显得至关重要.本文以重庆市某货车侧翻污染事件为例,构建了一套突发水污染事件环境损害的量化评估方法,并用该方法从财产损害、生态环境资源损害、应急处置行政事务投入费用和调查评估费用这4个方面量化了该事件造成的环境污染损害.     

NABat: A top-down,bottom-up solution to collaborative continental-scale monitoring

Collaborative monitoring over broad scales and levels of ecological organization can inform conservation efforts necessary to address the contemporary biodiversity crisis. An important challenge to collaborative monitoring is motivating local engagement with enough buy-in from stakeholders while providing adequate top-down direction for scientific rigor, quality control, and coordination. Collaborative monitoring must reconcile this inherent tension between top-down control and bottom-up engagement. Highly mobile and cryptic taxa, such as bats, present a particularly acute challenge. Given their scale of movement, complex life histories, and rapidly expanding threats, understanding population trends of bats requires coordinated broad-scale collaborative monitoring. The North American Bat Monitoring Program (NABat) reconciles top-down, bottom-up tension with a hierarchical master sample survey design, integrated data analysis, dynamic data curation, regional monitoring hubs, and knowledge delivery through web-based infrastructure. NABat supports collaborative monitoring across spatial and organizational scales and the full annual lifecycle of bats.     

南京江北核心区气候环境宜居性评价

气候环境条件是影响宜居的一个重要因素。运用多层次评价模型,从气象灾害、大气环境、人体健康及生态气象等4个层面筛选出20项指标,构建区域气候环境宜居性的评价体系,基于层次分析法(AHP)确定各指标的权重,并以南京江北核心区为例,对其宜居水平进行评价。结果表明:在青奥生态建设期间(2011—2014年),研究区的宜居水平整体呈上升趋势,属于宜居范畴,接近非常宜居的标准。这反映青奥会期间的环境整治与灾害防治工作初见成效,对江北核心区的宜居性起正效应作用。     

β射线法与重量法监测环境空气PM_(2.5)的应用比较

重量法是测量PM_(2.5)的传统手工经典方法,而β射线法加动态加热系统联用光散射法作为自动在线监测技术的常用方法被广泛使用。将5030-SHARP型β射线法加动态加热系统联用光散射法PM_(2.5)自动监测设备监测结果与手工法测量结果进行比对、分析,结果表明:β射线法与重量法监测结果具有一致性,测量结果不存在显著性差异;β射线法与重量法相对偏差值与温度、相对湿度、风速等气象因子的相关性不明显;β射线法与重量法监测结果的差异性与PM_(2.5)质量浓度、季节等条件有关;随着PM_(2.5)质量浓度逐渐升高,β射线法与重量法相对偏差的绝对值|RD|也随之增大,不同季节的|RD|平均值差异较大,春季、冬季的|RD|平均值大于夏季、秋季。     

数显型电热板加热法在河流高锰酸盐指数应急监测中的应用研究

高锰酸盐指数常被作为地表水体受有机污染物和还原性无机物质污染程度的综合指标.采用数显型电热板加热法测定水中高锰酸盐指数,通过实验确定了加热时间和加热温度.并分别采用水浴法和电热板加热法对应急样品进行了高锰酸盐指数的测定,两种测定方法的比对研究结果表明,应急监测时采用数显型电热板加热法测定耗时更短,检测结果与国标法测定没有显著差异,是可行且有效的应急监测替代方法.     

基于质谱技术的在线大气颗粒物来源与污染过程解析研究——以江苏省淮安市为例

通过大气细颗粒物实时在线源解析技术(质谱直接测量法)采集录入淮安市市区部分特征污染源排放成分谱,对淮安市大气细颗粒物进行在线源解析,获取高时间分辨的颗粒物源解析结果,分析颗粒物来源、季度变化和重污染天气的污染过程,评估形成重污染过程的污染影响因子和影响程度,为区域大气污染综合整治提供重要目标指向,同时也为淮安环境空气PM2.5重度污染实时预警与监控、大气污染源减排方案评估、污染事件监控等提供有效的在线监测技术平台.     

生活垃圾焚烧废气中二噁英监测采样研究

对当前国内生活垃圾焚烧废气中二噁英监测相关标准和技术规范的解读和实践操作后,认识到生活垃圾焚烧废气中二噁英监测采样的现状及不足.针对不同类型烟道,不同采样时间和不同采样时间间隔分别进行了研究.实验结果表明,同一稳定气流的排放源中,水平烟道和垂直烟道测试二噁英毒性当量排放浓度水平相当;满足监测采样量要求下,不同采样时间和采样时间间隔对二噁英监测结果并无显著差异,对此给出几点相应采样建议.