长江河口表层沉积物中PAHs的生态风险评价

2005年11月26—29日对长江河口部分表层沉积物中多环芳烃类化合物(PAHs)的污染现状进行了调查和研究,分析了其中16种PAHs单体含量. 结果表明,长江河口表层沉积物中属于美国优先控制的16种PAHs共检出15种,仅萘未被检出,w(PAHs)为355.72～2 480.85 ng/g,平均值为1 040.29 ng/g. 表层沉积物中以4环和5～6环PAHs为主,二者之和占w(PAHs)的80%以上. 长江河口表层沉积物中PAHs污染主要来源于矿物燃料的高温燃烧,但部分区域也不排除石油源输入的可能性. 与沉积物风险评估值相比,严重的生态风险在长江河口表层沉积物中不存在,然而排污口附近沉积物存在一定的生态风险.      

西安市生态文明建设度评价

根据生态文明的内涵和本质特征,提出了一个3层、6个维度(经济潜力、生态环境、民生改善、基础设施、生态文化及廉洁高效)和33个单项评价指标的生态文明建设度评价指标体系。通过对2004-2008年西安市及其区县生态建设度的评价研究,表明西安市生态、环境和社会经济条件都有一定程度的改善,生态文明建设度有所发展,但整体上发展过于缓慢,各部分发展不均衡。     

建筑小区内致病微生物暴露风险评价

利用数值模拟确定致病微生物浓度的时空分布,建立了基于瞬时浓度判据和积累浓度判据的污染物暴露评价模型,得到了建筑群内瞬时风险区域和人们在污染区域的最大停留时间。结果显示:瞬时风险区域面积基本与微生物生长曲线一致,即在2000s时达到最大,然后逐渐减小,至6000s后基本不变;最大停留时间与微生物的增长率有关,增长率大,最大停留时间变小。     

茂名小良桉树人工林生态经济效益分析与评价

利用模糊数学的方法,通过对小良的实地调杳和专家走访,挑选了30个对小良桉林生态经济影响较大的因子.建立了评价因子指标体系和五个评价等级,采用二个层次的综合评价模型对小良桉林生态经济效益首次进行了定量的综合评价.评价结果是:现在小良桉林生态经济效益为一般.总体态势是:16%为好,26%为较好,31%为一般.23%为较差,4%为差.综合评价得分为79.85分,介于一般和良好之间,这说明在小良桉树人工林的发展过程中存在许多显性的、潜在的问题,如果还不注意合理利用林地资源,就会使森林资源变为不可更新资源,不可持续利用.因此,科学客观地分析与评价小良桉林产业生态经济效益,为区域可持续发展提供科学依据和发展良策,实现生态和经济的综合调控具有现实意义.     

农用地土壤-作物系统对畜禽粪便养分消纳能力的评价

从土壤对养分消纳能力和作物养分需求角度出发,利用空间分析和地统计学方法,以北京市大兴区为例,进行了以地块为单元的农用地土壤-作物系统对畜禽粪便养分消纳能力评价.结果表明,大兴区农用地土壤-作物系统对畜禽粪便养分消纳能力整体一般,81.65%的农用地处于中下水平.除了因为大兴区的土壤保肥吸收能力整体不强外,还与大兴区的种植结构与种植面积有关,特别是高肥力的耕地与设施农业用地占地比例较小.     

环保设施现状评价模式的研究

对环保设施运行现状定量评价模式进行探讨。模式从环保设施的整体、细节、管理和环境影响4个方面分析,采用调查、公式计算、插值、专家评分等方式,对环保设施运行的现状进行评分,建立了一个以计权方式定量评分来评价废气、废水处理设施现状的评价模式。     

Assessing the impact of biological control of Plutella xylostella through the application of Lotka–Volterra model

The Lotka–Volterra model was applied to the population densities of diamondback moth (DBM), Plutella xylostella (L.) and its exotic larval parasitoid Diadegma semiclausum (Hellen) data that was collected earlier by icipe's DBM biological control team. The collections were done for 15 months before the release and 36 months after release of the parasitoid in two areas; in Werugha, Coast Province of Kenya and Tharuni, Central Province of Kenya, respectively. For each area in pre- and post-release periods, we estimated Lotka–Volterra model parameters from the minimization of the loss function between the theoretical and experimental time-series datasets following the Nelder-Mead multidimensional method. The model estimated a reduction in the value of the steady state of DBM population from 4.86 to 2.17 in Werugha and from 6.11 to 3.76 and 3.45 (with and without exclusion of the time before D. semiclausum recovery) in Tharuni when transiting from the pre- and post-release periods, respectively. This change was a consequence of the newly introduced parasitoid, in the areas. The study presented a successful and detailed technique for non-linear model parameters restoration which was demonstrated by the correct mimicking of empirical datasets from the classical biological control with D. semiclausum, in different areas of Kenya. The applied model has measured the parasitoids impact on the DBM biological control through a quantitative estimate of the effectiveness of the newly introduced species D. semiclausum. These equations may therefore be used as tool for decision making in the implementation for such pests’ management system strategy.     

Role of competition in phytoplankton population for the occurrence and control of plankton bloom in the presence of environmental fluctuations

Termination of harmful algal blooms (HABs) and coexistence of phytoplankton–zooplankton populations are of great importance to human health, ecosystem, environment, tourism and fisheries. In this paper, we propose a three component model consisting of non-toxic phytoplankton (NTP), toxin producing phytoplankton (TPP) and zooplankton (Z). The growth of zooplankton species is assume to reduce due to toxic chemicals released by TPP population. We have extended the model proposed by Chattopadhyay et al. [Chattopadhyay, J., Sarkar, R.R., Pal, S., 2004. Mathematical modelling of harmful algal blooms supported by experimental findings. Ecol. Comp. 1, 225–235] by including competition terms between TPP and NTP. We observe the effect of competition factors both in the presence and absence of the environmental fluctuation. From our field as well as model analysis we observe that competition helps in the coexistence of the species, but if the effect of competition is very high on the TPP population, it results in planktonic bloom. It is shown that the coexistence equilibrium loses its stability when the competition coefficient crosses a critical value and resulting Hopf-bifurcation around the positive equilibrium depicting oscillations phenomena of the populations.     

Invasion with stage-structured coupled map lattices: Application to the spread of scentless chamomile

Two fundamental aspects of invasion dynamics are population growth and population spread. These quantities have been subject of study in biological invasions and can be used to study management and control of organisms. In this paper we derive formulae to calculate wave speed and rates of spread for coupled map lattices. Coupled map lattice models are dynamical models where space and time are discrete. We also show how wave speed and rate of spread can be calculated for structured population coupled map lattices in deterministic, stochastic environments and heterogeneous landscapes. Coupled map lattices are simple mathematical models that can be easily linked to landscape data to study invading organisms control strategies.     

Integrating multi-criteria evaluation techniques with geographic information systems for landfill site selection: a case study using ordered weighted average

This paper presents a GIS-based multi-criteria decision analysis approach for evaluating the suitability for landfill site selection in the Polog Region, Macedonia. The multi-criteria decision framework considers environmental and economic factors which are standardized by fuzzy membership functions and combined by integration of analytical hierarchy process (AHP) and ordered weighted average (OWA) techniques. The AHP is used for the elicitation of attribute weights while the OWA operator function is used to generate a wide range of decision alternatives for addressing uncertainty associated with interaction between multiple criteria. The usefulness of the approach is illustrated by different OWA scenarios that report landfill suitability on a scale between 0 and 1. The OWA scenarios are intended to quantify the level of risk taking (i.e., optimistic, pessimistic, and neutral) and to facilitate a better understanding of patterns that emerge from decision alternatives involved in the decision making process.