Applying network theory to prioritize multispecies habitat networks that are robust to climate and land‐use change

Designing connected landscapes is among the most widespread strategies for achieving biodiversity conservation targets. The challenge lies in simultaneously satisfying the connectivity needs of multiple species at multiple spatial scales under uncertain climate and land‐use change. To evaluate the contribution of remnant habitat fragments to the connectivity of regional habitat networks, we developed a method to integrate uncertainty in climate and land‐use change projections with the latest developments in network‐connectivity research and spatial, multipurpose conservation prioritization. We used land‐use change simulations to explore robustness of species’ habitat networks to alternative development scenarios. We applied our method to 14 vertebrate focal species of periurban Montreal, Canada. Accounting for connectivity in spatial prioritization strongly modified conservation priorities and the modified priorities were robust to uncertain climate change. Setting conservation priorities based on habitat quality and connectivity maintained a large proportion of the region's connectivity, despite anticipated habitat loss due to climate and land‐use change. The application of connectivity criteria alongside habitat‐quality criteria for protected‐area design was efficient with respect to the amount of area that needs protection and did not necessarily amplify trade‐offs among conservation criteria. Our approach and results are being applied in and around Montreal and are well suited to the design of ecological networks and green infrastructure for the conservation of biodiversity and ecosystem services in other regions, in particular regions around large cities, where connectivity is critically low.     

Fuzzy experts on recreational vessels, a risk modelling approach for marine invasions

Understanding risks from the human-mediated spread of non-indigenous species (NIS) is a critical component of marine biosecurity management programmes. Recreational boating is well-recognised as a NIS pathway, especially at a regional scale. Assessment of risks from this pathway is therefore desirable for coastal environments where recreational boating occurs. However, formal or quantitative risk assessment for the recreational vessel pathway is often hampered by lack of data, hence often relies on expert opinion. The use of expert opinion itself is sometimes limited by its inherent vagueness, which can be an important source of uncertainty that reduces the validity and applicability of the assessment. Fuzzy logic, specifically interval type-2 fuzzy logic, is able to model and propagate this type of uncertainty, and is a useful technique in risk assessment where expert opinion is relied upon. The present paper describes the implementation of a NIS fuzzy expert system (FES) for assessing the risk of invasion in marine environments via recreational vessels. The FES was based on expert opinion gathered through systematic elicitation exercises, designed to acknowledge important uncertainty sources (e.g., underspecificity and ambiguity). The FES, using interval type-2 fuzzy logic, calculated an invasion risk value (integrating NIS infection and detection probabilities) for a range of invasion scenarios. These scenarios were defined by all possible combinations of two vessel types (moored and trailered), five vessel components (hull, deck, internal spaces, anchor, fishing gear), two infection modes (fouling, water/sediment retention) and six frequently visited marine habitats (marina, mooring, farm, ramp, wharf, anchorage). Although invasion risk values determined using the FES approach was scenario-specific, general patterns were identified. Moored vessels consistently showed higher invasion risk values than trailered vessels. Invasion risk values were higher for anchorages, moorings and wharves. Similarly, hull-fouling was revealed as the highest infection risk mode after pooling results across all habitats. The NIS fuzzy expert system presented here appears as a valuable prioritising and decision-making tool for NIS research, prevention and control activities. Its easy implementation and wide applicability should encourage the development and application of this type of system as an integral part of biosecurity, and other environmental management plans.     

基于T-S模糊神经网络的大沽河水质变化特征分析研究

基于T-S模糊神经网络,利用大沽河2010年-2015年水质监测数据,选取溶解氧、化学需氧量、高锰酸盐指数、氨氮、总氮、总磷对水质具有重要影响的6项指标,建立适用的水质评价模型,对大沽河水质变化特征进行分析.结果显示:上游水质评价结果明显优于中游、下游水质评价结果,网络评价水质等级变化趋势同真实指标数据变化趋势一致.验证结果充分表明了T-S模糊神经网络用于水质变化特征分析是可行、有效的.     

正常污泥和膨胀污泥中EPS膜污染特性及其与膜表面作用能分析

胞外聚合物(Extracellular polymeric substance,EPS)是导致膜污染的重要物质,且不同形态污泥的EPS具有不同的性质,研究正常污泥和膨胀污泥的EPS膜污染特性具有重要意义.因此,实验考察了正常污泥和膨胀污泥的膜污染速率.结果表明,膨胀污泥膜污染速率远高于正常污泥,膨胀污泥EPS(Bulking sludge-EPS,BS-EPS)浓度((172.9±10.4) mg·g-1)明显高于正常污泥EPS(Normal sludge-EPS,NS-EPS)浓度((95.9±6 6) mg·g-1),且膨胀污泥的蛋白质/多糖(Protein/Carbohydrate,P/C)值(2.26)高于正常污泥的P/C值(1 97)此外,通过序批式吸附实验研究了正常污泥和膨胀污泥的EPS膜污染差异,并基于Derjaguine-Landaue-Verweye-Overbeek (XDLVO)理论计算了EPS与PVDF膜表面之间的作用能结果表明,EPS-膜系统的总界面能为负值,即EPS-膜系统之间会发生自吸附行为,而膜与BS-EPS的总界面能(-63.943mJ.m2)较膜与NS-EPS(-56.366 mJ·m2)具有较高的能量,因此,BS-EPS与膜的吸附力较强;NS-EPS和BS-EPS主要能量壁垒分别为8.89 kT和7.51 kT,表明NS-EPS与膜之间的排斥力更强,因而BS-EPS更容易造成膜污染     

非点源污染影响下清河水库小流域水质模糊综合评价

针对铁岭市2011年饮用水源地清河水库小流域内水质状况,建立模糊综合评价数学模型,通过分析非点源污染对水质的影响进行水污染风险综合评价。目的是定量分析评价清河水库水环境质量现状和存在的问题。计算结果表明:清河水库小流域水质较差,水库入口、红花甸、聂家沟、曾家屯、腰堡的水质均属于V类水,说明水库水质已受到严重污染,而非点源污染是造成水库水质污染和波动性变化的主要原因和影响因素,急需进行科学的治理,否则将带来严重的环境、经济和社会损失。     

在用车I／M制度的脆性及脆性源研究

I／M制度作为一个系统存在着脆性源,如果该制度在运行过程中控制不好脆性源,则其有效实施将受到影响。利用系统脆性理论对该制度进行分析研究找出L／M制度系统的脆性源以及解决措施是其分析研究的目的。在系统子因子中从业人员素质、仪器设备是最大的脆性源,但是其均被维修企业和检测企业所包含。综合分析研究结果显示,由于其在维修企业的脆性度比在检测企业的脆性度大,所以维修企业是该制度最重要的脆性源。用系统脆性理论分析方法分析I／M制度的脆性是一种科学、有效和实用的方法,具有较好的应用前景,为保障更好的运行I／M制度以有效的控制在用车的排放提供了理论依据。     

博弈论在弹道导弹核潜艇威慑能力定性评估中的应用

以国际政治经济学领域常用的博弈论为基础,建立了不同情况下的弹道导弹核潜艇核威慑能力的定性分析模型,其核心是分析威慑双方的策略互动,以便能够更加客观地对弹道导弹核潜艇的威慑能力进行评估。针对信息完全和信息缺失的情况,博弈论模型能够简便快捷地对弹道导弹核潜艇的核威慑效果进行评估,并能够提出提高潜艇威慑效果的具体措施。     

燃煤、燃气锅炉综合效益模糊评价及分析结果——以乌鲁木齐市集中供热锅炉为例

以乌鲁木齐市某集中供热站锅炉节能减排方案为例,通过建立供热锅炉实施方案综合评价指标体系,运用层次分析法确定方案各项指标权重,利用模糊综合评判法分别从锅炉燃煤、燃气情况下的环境效益、经济效益以及设施能耗、物耗等指标着手,进行综合评价,并对集中供热锅炉燃煤与燃气方案综合评判结果进行分析,最终评选出较优实施方案。评选结果表明:燃气方案综合效益较好,可有效实现节能减排,为今后燃气锅炉建设提供一定的参考作用。     

基于模糊数学方法的资源类企业环境绩效评价——以兰花科创为例

文章阐述了现有环境绩效计量模型的不足,分析统计了国内外有关环境绩效评价的研究成果及手册、指南和法规中高频指标,在此基础上结合环境指标和财务指标建立了资源企业环境绩效评价体系,运用层次分析法和模糊数学的方法对兰花科创进行实证研究,得出其综合评价结果为82.558分,应控制用水量和减少烟尘的排放。以期将企业为环境所作的贡献量化,促进可持续发展战略在企业的具体实践。     

区域大气污染联防联控的理论与方法分析

区域性、复合型大气污染是中国目前以及今后一段时期内所面临的主要大气污染问题,但我国现行"属地"特征的环境管理制度无法满足区域性、复合型大气污染所需要的合作解决问题的要求,因此亟需建立区域大气污染联防联控机制。本文探讨了区域大气污染联防联控的理论基础,并着重讨论了我国实施区域联防联控的技术与方法,包括联防联控区域划分方法、区域大气环境问题控制技术、区域总量控制目标确定与分配方法及区域大气污染联防联控保障体系等。