Human–nature connectedness as a ‘treatment’ for pro-environmental behavior: making the case for spatial considerations

The degree to which an individual feels connected to the natural world can be a positive predictor of pro-environmental behavior (PEB). This has led to calls to ‘reconnect to nature’ as a ‘treatment’ for PEB. What is not clear is the relationship between where one feels connected to nature and where one acts pro-environmentally. We propose that integrating spatial scale into the conceptualization of these constructs will provide insights into how different degrees of connectedness influence pro-environmental behavior. We discuss trends towards a spatial understanding of human–nature connectedness (HNC) and introduce three archetypes that highlight scalar relationships between scale of connectedness and scale of pro-environmental behavior: (1) equal interactions, (2) embedded interactions, and (3) extended interactions. We discuss potential policy and practice implications of taking a spatially explicit approach to HNC–PEB research, and propose a research agenda for investigating these scalar relationships that can inform nature as a ‘treatment’ intervention.     

Factors Affecting Predator-Prey Distribution in a Protected Area,Tehran, Iran (a Case with Wolves and Wild Sheep)

We tried to model habitat suitability of two prey and predator species including wild sheep (Ovis orientalis) and wolf (Canis lupus) in Varjin protected area located in northern east of Tehran using a presence only method, maximum entropy (MaxEnt). Totally 11 environmental variables were measured in the species presence points which can be classified in three groups including topographical, vegetation and distal variables. Resulted maps indicated that habitat variables such as slope (ranging from 35 to 40 percent) and elevation (lower than 1700 meters above sea level) are both institute those factors which mostly affect studied prey and predator habitat use. Our results regarding prey and predator geographical range of used habitat indicated that wolves cover most area than wild sheep which show more dispersed habitat resources for the prey species. ENMTools test revealed that wolf’s niche breadth is more than twice as much as wild sheep’s. Wild sheep in Varjin protected area has a relatively narrow geographical extent and shows a tendency to marginal habitats while wolves cover obviously more areas which denotes its high mobility and low dependency to specific habitats.     

水污染的计算机模拟

本文给出了水源污染过程的计算机模拟方法.建立了水污染方程.提出了水污染微分方程组中各系数的实验确定办法.本模拟适用于水库之类的准封闭水系.也适用于有源有漏的一段河道,不要求进水量和出水量相等.污物种类的多寡不受限制.可以模拟只有本底污染的水源的人为污染过程,也可以模拟已污染水源的再污染或净化过程.模拟时间的长短任意.模拟的结果,除综合结论外、还列表输出水体的含氧浓度及若干种主要无机污物(或难降解的有机污物)的积累浓度,以及它们的坐标式变化曲线.     

江苏省空气质量预报准确度及改进方法分析

介绍了江苏省重污染天气监测预报预警系统以及大气重污染预警会商流程,将2015年13个地级市的模式预报、人工预报结果分别与实际观测值进行比较。结果表明:人工预报更准确,PM_(2.5)日均值、臭氧日最大8 h平均值、AQI 3个指标人工预报和实况的相关性分别比模式预报高出12.8%、0.3%、11.4%,平均标准误差(MNE)分别低20.7%、3.1%、23.1%。依据国家空气质量预报技术指南评分办法,对各市2015年全年空气质量级别为"良"时进行评分。通过开展07∶00预报更新,使2015年上半年空气质量预报级别得分平均提高了0.9分,全年级别得分平均提高了2.6分;通过改进模式预报参数,使PM_(2.5)日均预报值、臭氧日最大8 h平均预报值、AQI预报值和实际观测值的相关性比上年同期分别提高26.0%、5.0%、33.9%,MNE分别降低3.6%、31.3%、7.6%。     

环境经济系统分类及协调发展判据研究

应用系统论对环境经济系统进行结构分析,并根据内部相互作用强弱对环境经济系统进行了分类;建立了环境经济协调发展判据,对区域环境经济协调发展问题进行了定量研究。     

交通干道沿线土壤重金属监测与评估综述

公路运营所带来的铅、镉、锌等重金属污染物对人体健康安全存在着潜在和长期的影响。近年来,开展交通干道沿线重金属污染监测与评估工作已经成为环境监测工作的重要内容。从监测技术、评估方法、可能影响因素等几个方面对该领域的研究进展及成果进行了综述。采样段面的选取、点位的布设与样品的收集应该同时遵循全面性和代表性的原则。在同一交通干道内,均匀布置采样段面的同时可以尽量包含高车流量、中车流量与低车流量3种类型。考虑到重金属在横向距离上的分布规律,可以在0~100 m处设置密集采样点位,在100~300 m处设置适量采样点位。评估方法一般同时采用Kriging空间插值分析、污染指数分析、多元统计分析,生态风险评价与健康风险评价等多种分析方法。     

确定空气注射技术影响半径的现场试验——以北京某焦化厂为例

以北京某焦化厂地下水污染场地为例,设计和建立了一套由1口注射井、3口地下水监测井和5口土壤气监测井组成的现场试验系统,并进行了现场注气压力与流量测试,地下水压力响应测试,溶解氧测试,氦气示踪测试与土壤气测试,确定了试验区域的最佳注气压力与流量和影响半径.注气压力与流量测试确定了最佳注气压力与流量为0.03MPa, 23.2m3/h.在最佳注气条件下,地下水监测井G3、G5、G8中,水位分别在10,15,15min后上升到最大值0.36,0.11,0.04m,地下水溶解氧浓度分别在60,65,75min后增加到7.35、2.47、0.74mg/L,以上结果表明,G3和G5响应较明显,G8响应不明显.土壤气监测井S2、S4、S5中氦气浓度分别在10,7,6min后达到最大值83%、13%、41%,S6中氦气无检出;S2、S3、S4、S5、S6中O2浓度分别上升到19.9%、19.6%、19.2%、19.0%、16.6%,以上结果表明,S2~S5响应较明显,S6响应不明显.综合分析以上4种测试结果,确定试验区域的影响半径为5m.     

HRT对固定床厌氧反应器运行效果的影响

为了考察水力停留时间(HRT)对炭纤维载体固定床厌氧反应器运行效果的影响,在进水COD分别为20 000~25 000 mg/L和40 000~45 000 mg/L2个浓度范围下,研究了不同HRT对反应器运行效果的影响。结果表明,通过HRT的调整,在达到相同有机负荷(OLR)下,进水COD为20 000~25 000 mg/L的COD去除率和产气量,明显比进水COD为40 000~45 000 mg/L的运行效果好;进水COD为20 000~25 000 mg/L,HRT为14 h,相应的OLR为41.09 kgCOD/(m3.d)时,COD去除率仍然维持在68%以上,沼气容积产气率达到14.55 m3/(m3.d)。炭纤维载体固定床厌氧反应器具有较高的COD去除率、产气效率以及抵抗低pH、高负荷冲击的能力,运行过程中没有发生反应器堵塞的现象。     

Effect of air masses motion on the rapid change of aerosols in marine atmosphere

The impact of air masses motion on marine aerosol properties was investigated using an on-board single particle mass spectrometer(SPAMS) deployed for the determination of single particle size resolved chemical composition over Southeast China Sea. Two aerosol blooms(E1 and E2) were observed during the cruise. High average particle number count occurred in E1(7320), followed by E2(5850), which was more than 100–150 times of the average particle number count during normal periods. Particles were classified as four major sources, including continental source, shipping source, marine source, and transport source based on the mass spectral similarity. Transport source was identified as those particles with high particle number count occurred only during aerosol bloom period. Three sub-types of EC-Ca, OC-Ca, and Al-rich were classified as transport source.EC-Ca was the dominant particles of the transport source, accounting for more than 70%of the total particles in aerosol bloom events. A uni-modal size distribution in the size range of 0.1–2.0 μm was observed during normal period, while a bimodal distribution with a tiny mode(0.3 μm) and a coarse mode between 0.4 and 0.6 μm was present during aerosol bloom. The variation of aerosol source is consistent with air masses back trajectories, for the reason that most of the long-range air trajectories are from the ocean,while short air trajectories originate in the continental regions, which means that air masses have a significant impact on the aerosol physical–chemical properties along their tracks.     

基于时序片段的油气管道运行工况识别方法*

为准确识别管道系统运行工况,提高对油气管道突发事故的响应速度,综合提升管网安全管理水平,提出1种基于时序片段的油气管道运行工况识别方法。首先,构建基于概率分布的状态变化识别模型,提取油气管道中不同运行状态点;其次,建立基于时间序列片段的工况识别模型,快速识别不同时间长度内油气管道运行工况;最后,以国内某成品油管道为例进行方法验证。研究结果表明:该方法可有效识别成品油管道阀门开关状态、泵异常停机和阀门内漏3种运行工况。对比传统的识别方法,该方法可降低状态变化点的漏报率,提升管道运行工况识别的准确率。研究结果可为油气管道系统运行工况识别提供新的借鉴方法。