Use of linkage mapping and centrality analysis across habitat gradients to conserve connectivity of gray wolf populations in western North America

Centrality metrics evaluate paths between all possible pairwise combinations of sites on a landscape to rank the contribution of each site to facilitating ecological flows across the network of sites. Computational advances now allow application of centrality metrics to landscapes represented as continuous gradients of habitat quality. This avoids the binary classification of landscapes into patch and matrix required by patch-based graph analyses of connectivity. It also avoids the focus on delineating paths between individual pairs of core areas characteristic of most corridor- or linkage-mapping methods of connectivity analysis. Conservation of regional habitat connectivity has the potential to facilitate recovery of the gray wolf (Canis lupus), a species currently recolonizing portions of its historic range in the western United States. We applied 3 contrasting linkage-mapping methods (shortest path, current flow, and minimum-cost-maximum-flow) to spatial data representing wolf habitat to analyze connectivity between wolf populations in central Idaho and Yellowstone National Park (Wyoming). We then applied 3 analogous betweenness centrality metrics to analyze connectivity of wolf habitat throughout the northwestern United States and southwestern Canada to determine where it might be possible to facilitate range expansion and interpopulation dispersal. We developed software to facilitate application of centrality metrics. Shortest-path betweenness centrality identified a minimal network of linkages analogous to those identified by least-cost-path corridor mapping. Current flow and minimum-cost-maximum-flow betweenness centrality identified diffuse networks that included alternative linkages, which will allow greater flexibility in planning. Minimum-cost-maximum-flow betweenness centrality, by integrating both land cost and habitat capacity, allows connectivity to be considered within planning processes that seek to maximize species protection at minimum cost. Centrality analysis is relevant to conservation and landscape genetics at a range of spatial extents, but it may be most broadly applicable within single- and multispecies planning efforts to conserve regional habitat connectivity.     

An approach to calculating allowable watershed pollutant loads

To improve the management of discharge pollutants loads in the reservoirs’ watershed, an approach of the allowable pollutants loads calculation and its allocation, based on the water environment model, was proposed. Establishment of the approach framework was described at first. Under the guidance of this framework, two major steps were as follows: modeling and scenario analysis were involved and should be applied to support the decision of discharge loads management; Environmental Fluid Dynamic Code (EFDC) model was selected as the kernel model in this framework. In modeling step, spatial discretization for establishing cell map in model, data preprocessing, parameter calibration and uncertainty analysis (which is considered as the significantly relevant factor of the margin of safety (MOS)), were conducted. As a result of the research, the model-based approach presented as a combination of estimation and precise calculation, which contributed to scenario analysis step. Some integrated modules, such as scenario simulation, result analysis and plan optimization were implemented as cycles in the scenario analysis. Finally, allowable pollutant loads under various conditions were calculated. The Chaihe Reservoir in Liaoning Province, China was used as a case study for an application of the approach described above. Results of the Chaihe reservoir water quality simulation, show good agreement with field data and demonstrated that the approach used in the present study provide an efficient and appropriate methodology for pollutant load allocation.     

2006─2010年环保重点城市主要污染物浓度变化特征

利用2006─2010年全国环保重点城市的空气质量日报数据,分析了大气ρ(SO2)、ρ(NO2)和ρ(PM10)的变化特征. 结果表明:从年际变化看,ρ(SO2)和ρ(PM10)呈下降趋势,ρ(NO2)变化不显著.从季节变化看,ρ(SO2)、ρ(NO2)和ρ(PM10)均呈冬季高、夏季低的特征.从浓度谱分布看,全国大气中ρ(SO2)、ρ(NO2)和ρ(PM10)分别集中在0～0.150、0～0.100和0～0.250 mg/m3范围内,ρ(SO2)和ρ(PM10)谱峰区间逐渐向低浓度范围偏移,高浓度事件逐渐减少,表明SO2和PM10污染得到较明显的控制,而ρ(NO2)谱峰变化不大.从浓度变化看,山西ρ(SO2)、ρ(NO2)和ρ(PM10)下降最明显,年变化率分别为-11.2、-3.6和-14.2 μg/m3;青海ρ(SO2)、山东ρ(NO2)和ρ(PM10)的上升趋势最明显,年变化率分别为4.4、2.7和4.5 μg/m3.      

基于硫酸自由基的高级氧化技术研究及应用进展

由于硫酸自由基(SO4-.)具有很高的氧化还原电位,过硫酸盐(S2O82-)活化高级氧化技术作为一种新型氧化技术在环境工程领域具有巨大应用潜能。介绍了热活化、光活化、过渡金属离子三种活化过硫酸盐产生SO4-.的方式,在环境保护方面的现状研究与应用进展,主要涉及受有机污染土壤和地下水的修复、难降解有机废水和废气的处理,阐述了SO4-.高级氧化技术处理各种有机污染物的机理,指出了基于SO4-.的高级氧化技术在处理应用中存在的局限性和未来发展方向。     

定费用时尿素热解脱硝系统的可靠性研究

针对费用最小化理论在可靠性分配中的局限性,建立更切合实际的固定费用下可靠度极大化思想。将该思想运用到尿素热解脱硝系统中,针对系统结构功能特征及运行特点,深入分析各系统间逻辑功能关系,提出了完整的尿素热解脱硝系统可靠性分配模型。并引入可靠性成本预估函数,以固定费用为约束,建立数学模型,实现了系统可靠性指标的最优化分配。最后以脱硝系统为例,获得具有实际意义的数值解,证明了该方法的可用性及正确性。     

低成本废水生态处理组合工艺在农家乐废水治理中的应用

以一典型农家乐生活废水为处理对象,采用以低成本废水生态处理技术为主体的组合处理工艺,研究了该工艺对农家乐废水的处理效果。结果表明:该废水处理系统稳定运行时对COD和NH4+-N的平均去除率分别达80%和50%以上,出水ρ(TP)一直保持在2.0 mg/L以下。该废水处理技术不仅简单易行、效果好,而且建造及运行成本低,在农村分散型废水治理方面具有良好的推广应用价值。     

外部安防系统在海洋石油固定平台中的应用

为了弥补传统的海洋石油固定平台内部安防系统的不足,达到海洋石油固定平台全天候自动监测、自动报警、无人值守、主动防御、预防为主的目的,以便提早发现灾害或事故的苗头,提供及时报警,并采取适当的预防措施。根据主动防御、准确测报、防范未然和规避事故的原则方针,按区域警戒与要地防范相结合的方法,介绍了外部安防系统在海洋石油固定平台中的应用,包括六个子系统、工作流程、各个子系统在海洋石油固定平台中的应用以及特点和价值,从监控、应急、监管等多角度出发,实现了一体化的安全监控。     

基于改进成功流法的消防系统可靠性研究

在多信号输入系统的可靠性研究中,传统GO法存在计算复杂、易出现误差和遗漏的缺点。将卡诺图化简法引入传统GO运算,利用其“合并同项,简化运算”的特点构建研究多信号输入系统可靠性的新GO模型。将其应用于预作用喷水灭火系统,对具有多启动方式的给水泵进行可靠性分析,并与事件树运算结果比较,证明新GO模型适用于具有多信号输入系统的可靠性研究。研究表明,通过采取措施降低多信号元器件故障概率可以提高系统整体可靠性。     

基于FTA与SPA方法的湿法成型硫磺料仓安全分析与评价研究

为了控制湿法成型硫磺料仓风险,评估硫磺料仓安全状态,采用事故树方法分析了硫磺料仓发生火灾爆炸事故的原因,并利用最小割集和最小径集分析了事故的可能途径,确定了最佳控制方案为控制可燃粉尘和气体的聚集。针对硫磺料仓安全状态影响因素的不确定性和动态性的特点,将多元联系数集对分析法引入硫磺料仓危险性评价中,建立了料仓危险性评价指标体系,综合判断了料仓危险性态势。评价结果与现场实际情况较符合,为湿法成型硫磺料仓的安全评价工作提供了思路,为其风险控制措施的制定提供了参考。     

基于GIS的页岩气开发生态环境数据管理系统设计

分析了数据管理系统在生态环境领域的应用现状,以及页岩气开发生态环境数据的特性和管理需求,提出了基于地理信息系统和关系型数据库有效集成的数据管理系统框架,实现对页岩气开发区域水环境、土壤环境、环境空气及污染源负荷在时间和空间尺度的分析与评价,指出大数据、物联网技术的运用是系统发展的重要方向.