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1.
The Scaling Behaviour of a Turbulent Kinetic Energy Closure Model for Stably Stratified Conditions 总被引：2，自引：1，他引：1
We investigate the scaling behaviour of a turbulent kinetic energy (TKE) closure model for stably stratified conditions. The mixing length scale for stable stratification is proportional to the ratio of the square root of the TKE and the local Brunt–Väisälä frequency, which is a commonly applied formulation. We analyze the scaling behaviour of our model in terms of traditional Monin–Obukov Similarity Theory and local scaling. From the model equations, we derive expressions for the stable limit behaviour of the flux–gradient relations and other scaling quantities. It turns out that the scaling behaviour depends on only a few model parameters and that the results obey local scaling theory. The analytical findings are illustrated with model simulations for the second GABLS intercomparison study. We also investigate solutions for the case in which an empirical correction function is used to express the eddy diffusivity for momentum as a function of the Richardson number (i.e. an increasing turbulent Prandtl number with stability). In this case, it seems that for certain parameter combinations the model cannot generate a steady-state solution. At the same time, its scaling behaviour becomes unrealistic. This shows that the inclusion of empirical correction functions may have large and undesired consequences for the model behaviour. 相似文献
2.
The results from a semi-experimental study of Swedish students’ stated willingness to purchase emission allowances for carbon dioxide are presented. Drawing heavily on recent developments in the literature on integrating norm-motivated behaviour into neoclassical consumer theory, it is assumed that individuals have a preference for maintaining a self-image as a responsible (and thus norm-compliant) person. The results indicate that students’ willingness to purchase carbon allowances is determined by both price and the presence of norms: those who feel personally responsible for contributing to reducing climate damages also appear more inclined to buy allowances. The empirical findings are consistent with the notion that a person's beliefs about others’ stated willingness to purchase carbon allowances imply improvements in their own self-image and ultimately behavioural change. This suggests that information campaigns that attempt to influence beliefs about others’ intentions could promote ‘green’ consumer behaviour in the carbon allowance market. Such (stated) behaviour also appears to be influenced by a person's awareness of the problem of climate change and their beliefs about their own ability to contribute to solving it.Policy relevanceAlthough there is a concern that public goods such as reduced climate change may be under-provided in the free market, individual concern for the environment occasionally has profound impacts on consumer choice and voluntary action. This research suggests that information campaigns that attempt to influence beliefs about others’ intentions could promote ‘green’ consumer behaviour in carbon allowance markets. Publicly-provided information about the impacts of climate change and the ways in which these damages stem from individual choices could also induce this type of behaviour. 相似文献
3.
P. Hignett 《Boundary-Layer Meteorology》1994,68(3):225-236
Measurements are presented describing the behaviour of roughness lengths for momentum and temperature for heterogeneous terrain of low fractional rough cover. The momentum roughness lengths were found to be up to several orders of magnitude larger than that for temperature, behaviour which is characteristic of a bluff-rough type of surface and which is consistent with previous experimental and theoretical studies. This contrasts with observations over uniform, vegetated surfaces, which show only an order-of-magnitude increase of momentum roughness length over that for temperature. 相似文献
4.
Detailed insights into the influence of flood-coping appraisals on mitigation behaviour 总被引：1，自引：0，他引：1
P. Bubeck W.J.W. Botzen H. Kreibich J.C.J.H. Aerts 《Global Environmental Change》2013,23(5):1327-1338
Insights into flood mitigation behaviour are important because of the ongoing shift to risk-based flood management approaches in Europe and worldwide, which envisage a contribution from flood-prone households to risk reduction. The recent literature on factors that influence flood mitigation behaviour indicates that flood-coping appraisal is an important variable to understand and explain flood mitigation behaviour. Coping appraisal originates from Protection Motivation Theory (PMT), and refers to the cognitive process that people undergo when evaluating their own ability to avoid a certain risk. However, the empirical literature on the importance of coping appraisal is still scarce, and, in particular, little is known about the independent influence of the three single components of coping appraisal on precautionary behaviour: namely, response efficacy, self-efficacy, and response cost. This study presents the results of a recent survey among 752 flood-prone households along the river Rhine in order to provide detailed insights into the influence of the components of flood-coping appraisal on four different types of flood mitigation behaviour: structural building measures, adapted building use, the deployment of flood barriers, and the purchase of flood insurance. The results confirm that flood-coping appraisal is an important variable in terms of precautionary behaviour. In particular, both response efficacy and self-efficacy contribute to the models which explain the four different types of flood-mitigation behaviour. Based on these findings, it is concluded that risk communication should focus more strongly on the potential of flood-mitigation measures to effectively reduce or avoid flood damage, as well as on information about how to implement such measures in practice. 相似文献
5.
The exact relationship between people’s climate change attitudes and behaviour is a topic that engages policy-makers and researchers worldwide. Do climate change attitudes influence behaviour or is it possible that behaviour can change attitudes? This study uses a unique repeated survey dataset of 275 farmers (irrigators) in the southern Murray-Darling Basin from 2010–11 to 2015–16, to explore the dynamic relationship between climate change risk perceptions and farm adaptation behaviour. Farmers who had an increased risk exposure (expressed through higher debt, larger irrigated areas, greater share of permanent crops, and located in areas with higher temperatures and less rainfall) were more likely to agree climate change posed a risk. Whilst farmers became more accepting towards climate change over the time-period, a significant percentage of these attitudes were unstable. One reason suggested for this instability is the presence of a feedback loop between risk perceptions and behaviour. Namely, new evidence was found that farmers who agreed climate change was a risk in 2010–11, were more likely to undertake farm production decisions to reduce that risk (e.g. changing crop mix, reducing irrigated area and consequently selling water entitlements) – which had the impact of negatively feeding back and reducing their stated climate change risk perceptions in 2015–16. Conversely, farmers who were originally deniers were more likely to undertake somewhat riskier farm production decisions (e.g. increasing water utilisation rates and irrigation areas) – which consequently had the impact of positively increasing their climate change risk perceptions in 2015–16. 相似文献
6.
Analysis of human adaptation to climate change should be based on realistic models of adaptive behaviour at the level of organisations and individuals. The paper sets out a framework for analysing adaptation to the direct and indirect impacts of climate change in business organisations with new evidence presented from empirical research into adaptation in nine case-study companies. It argues that adaptation to climate change has many similarities with processes of organisational learning. The paper suggests that business organisations face a number of obstacles in learning how to adapt to climate change impacts, especially in relation to the weakness and ambiguity of signals about climate change and the uncertainty about benefits flowing from adaptation measures. Organisations rarely adapt ‘autonomously’, since their adaptive behaviour is influenced by policy and market conditions, and draws on resources external to the organisation. The paper identifies four adaptation strategies that pattern organisational adaptive behaviour. 相似文献
7.
Lorenz方程中引进切变以后,对普朗特数为0.7的大气可以出现浑沌。 速度切变在一定情况下起阻尼作用,有切变时比无切变时湍流发生的临界莱雷数要高。 浑沌是一种非周期的现象,它在相空间中的轨迹是混乱的。 通向湍流的道路有很多种。切变较小时为普通湍流形态;切变较大时是间歇湍流形态;切变适中时为短暂层流状态。 有速度切变时的浑沌对大气湍流的研究有很大的实际意义。 相似文献
8.
Brian N. Bailey 《Boundary-Layer Meteorology》2017,162(1):43-70
When Lagrangian stochastic models for turbulent dispersion are applied to complex atmospheric flows, some type of ad hoc intervention is almost always necessary to eliminate unphysical behaviour in the numerical solution. Here we discuss numerical strategies for solving the non-linear Langevin-based particle velocity evolution equation that eliminate such unphysical behaviour in both Reynolds-averaged and large-eddy simulation applications. Extremely large or ‘rogue’ particle velocities are caused when the numerical integration scheme becomes unstable. Such instabilities can be eliminated by using a sufficiently small integration timestep, or in cases where the required timestep is unrealistically small, an unconditionally stable implicit integration scheme can be used. When the generalized anisotropic turbulence model is used, it is critical that the input velocity covariance tensor be realizable, otherwise unphysical behaviour can become problematic regardless of the integration scheme or size of the timestep. A method is presented to ensure realizability, and thus eliminate such behaviour. It was also found that the numerical accuracy of the integration scheme determined the degree to which the second law of thermodynamics or ‘well-mixed condition’ was satisfied. Perhaps more importantly, it also determined the degree to which modelled Eulerian particle velocity statistics matched the specified Eulerian distributions (which is the ultimate goal of the numerical solution). It is recommended that future models be verified by not only checking the well-mixed condition, but perhaps more importantly by checking that computed Eulerian statistics match the Eulerian statistics specified as inputs. 相似文献
9.
通过对欧盟独立交易登记系统（CITL）的抓取、识别、清洗与融合构建了全样本的交易大数据集合,完整地重现了欧盟碳排放权交易体系（EU ETS）在试验阶段的市场微观结构。进而从市场内部微观视角出发,对EU ETS的市场微观体系、排放企业的微观交易行为,以及市场供需微观演化等予以分析,结果表明在市场建立初期：排放企业的交易大多是以配额履约为目的;交易行为呈现活跃度低、季节性和同向性的特点;市场上少量的高排放企业凭借其在配额总量、资金和信息上的优势在交易中占据了主导地位。此外,微观行为数据还反映了金融部门在碳配额交易中的作用：配额在前期流向金融部门使得供过于求的状况有所缓解,但当配额流出金融部门时,市场供需失调的情况被迅速放大。在碳市场建立初期,理解EU ETS市场参与者微观行为特点以及潜在的风险,对中国即将启动的全国统一碳排放权交易体系的机制设计有重要的启示意义。 相似文献
10.
Community energy initiatives can foster a sustainable energy transition by promoting sustainable energy behaviour in the communities in which they are embedded. This raises the question of what motivates people to become involved in these initiatives. We investigated the importance of financial, environmental, and communal motives for initiative involvement. We propose that communal motives (i.e., being involved in one’s local community) may be related to initiative involvement, as community energy initiatives not only aim to promote sustainable energy behaviour but also enable people to be involved in their community. Across three studies, respondents rated financial and environmental motives as more important than communal motives for their involvement in community energy initiatives. Yet, environmental and communal motives were uniquely related to initiative involvement, while financial motives were not. The discrepancy between which motives people rate as important and which motives actually relate to their initiative involvement suggests that financial motives are an overrated motive, while communal motives are an underrated motive for involvement in community energy initiatives. Our results suggest that targeting communal motives may be an additional way to enhance involvement in community energy initiatives and foster sustainable behaviour among people, who may not otherwise be interested in environmental protection. 相似文献
11.
Social and environmental sciences have shown that narratives have significant impact on human behaviour. Understanding water narratives can therefore help policy-makers understand and regulate public behaviour. We carry out a bibliometric analysis of water narratives, which gives us a broad overview of the types of work, collaborations and key insights. We couple this with a smaller qualitative review, which enabled us to construct a typology that captures the range of themes found in the literature. Narratives might be classified along an axis of expert and local knowledge and an axis of time – retrospective and prospective. We also show that narratives are a useful tool for legitimation and mobilization, and a form of “System 1” heuristic. Given that so many water challenges are tied to human activities, an understanding of water narratives and the link to behavioural change would be a useful part of future research agendas. 相似文献
12.
Abstract Ground‐based measurements of stratospheric NO2, using absorption spectroscopy of twilight sky in the spectral region 437–451 nm, have been made at Calgary (51.08°N, 114.13°W), Alberta, Canada, during the period December 1978‐March 10, 1979. The NO2 showed a rather steady behaviour in the month of December when there was no stratospheric warming in progress; the monthly average of the afternoon vertical column abundance for December was 1.7 × 1015 cm2. In the rest of the observation period the NO2 showed a complex behaviour, but this behaviour appears to be explicable in terms of the stratospheric circulation changes taking place in that period due to the occurrence of a stratospheric warming event. 相似文献
13.
The promotion of environmental knowledge is viewed as a fundamental component of environmental education and a necessary prerequisite to ecological behaviour; however, it has little effect on actual behaviour. Nature-based environmental education, which combines the acquisition of environmental knowledge with the promotion of an intrinsic driver, namely connectedness to nature, is proposed as a holistic approach to increase ecological behaviour. This paper evaluates the effect of participation in nature-based environmental education in 4th to 6th graders (N = 255). As expected, increased participation in nature-based environmental education was related to greater ecological behaviour, mediated by increases in environmental knowledge and connectedness to nature. While both factors were similarly predicted by participation in nature-based environmental education, connectedness to nature explained 69% and environmental knowledge 2% of the variance in ecological behaviour. However, the design of our data do not evidence the causality of these relations, which are solely based on theoretical assumptions supported by literature. Nevertheless, the importance of fostering both environmental knowledge and connectedness to nature as complementary drivers of ecological behaviour, as offered by nature-based environmental education, should be researched further as a highly promising approach to fostering ecologically-motivated individuals. 相似文献
14.
15.
Boundary-Layer Meteorology - The present work develops a model for the turbulent velocity spectra that considers the anomalous behaviour of the turbulent flow. The $$\beta $$ -model assumes that... 相似文献
16.
C. Kittas 《Boundary-Layer Meteorology》1986,36(3):213-225
Successive increases in the cost of fuel led to a need for studies of greenhouse energy behaviour. In this paper the energy exchange by convective processes between the exterior and interior environments of a greenhouse has been studied and the corresponding heat transfer coefficients have been experimentally determined. The results illustrate the influence of the wind velocity on the heat transfer between the cover of a greenhouse and its surroundings and therefore reveal the importance of wind protection for energy saving.The equations derived can be used for modeling greenhouse energy behaviour and for evaluating energy losses. 相似文献
17.
The dispersion of heavy particles subjected to a turbulent forcing is often simulated with Lagrangian stochastic models. Although
these models have been employed successfully over land, the implementation of traditional LS models in the marine boundary
layer is significantly more challenging. We present an adaptation of traditional Lagrangian stochastic models to the atmospheric
marine boundary layer with a particular focus on the representation of the scalar turbulence for temperature and humidity.
In this new model, the atmosphere can be stratified and the bottom boundary is represented by a realistic wavy surface that
moves and deforms. Hence, the correlation function for the turbulent flow following a particle is extended to the inhomogenous,
anisotropic case. The results reproduce behaviour for scalar Lagrangian turbulence in a stratified airflow that departs only
slightly from the expected behaviour in isotropic turbulence. When solving for the surface temperature and the radius of evaporating
heavy water droplets in the airflow, the modelled turbulent forcing on the particle also behaves remarkably well. We anticipate
that this model will prove especially useful in the context of sea-spray dispersion and its associated sensible heat, latent
heat, and gas fluxes between spray droplets and the atmosphere. 相似文献
18.
A Bayesian statistical model for deriving the predictive distribution of hydroclimatic variables 总被引：1，自引：0，他引：1
Recent publications have provided evidence that hydrological processes exhibit a scaling behaviour, also known as the Hurst phenomenon. An appropriate way to model this behaviour is to use the Hurst-Kolmogorov stochastic process. The Hurst-Kolmogorov process entails high autocorrelations even for large lags, as well as high variability even at climatic scales. A problem that, thus, arises is how to incorporate the observed past hydroclimatic data in deriving the predictive distribution of hydroclimatic processes at climatic time scales. Here with the use of Bayesian techniques we create a framework to solve the aforementioned problem. We assume that there is no prior information for the parameters of the process and use a non-informative prior distribution. We apply this method with real-world data to derive the posterior distribution of the parameters and the posterior predictive distribution of various 30-year moving average climatic variables. The marginal distributions we examine are the normal and the truncated normal (for nonnegative variables). We also compare the results with two alternative models, one that assumes independence in time and one with Markovian dependence, and the results are dramatically different. The conclusion is that this framework is appropriate for the prediction of future hydroclimatic variables conditional on the observations. 相似文献
19.
20.
A Lagrangian Stochastic Model for Heavy Particle Dispersion in the Atmospheric Marine Boundary Layer
The dispersion of heavy particles and pollutants is often simulated with Lagrangian stochastic (LS) models. Although these
models have been employed successfully over land, the free surface at the air-sea interface complicates the implementation
of traditional LS models. We present an adaptation of traditional LS models to the atmospheric marine boundary layer (MBL),
where the bottom boundary is represented by a realistic wavy surface that moves and deforms. In addition, the correlation
function for the turbulent flow following a particle is extended to the anisotropic, unsteady case. Our new model reproduces
behaviour for Lagrangian turbulence in a stratified air flow that departs only slightly from the expected behaviour in isotropic
turbulence. When solving for the trajectory of a heavy particle in the air flow, the modelled turbulent forcing on the particle
also behaves remarkably well. For example, the spectrum of the turbulence at the particle location follows that of a massless
particle for time scales approximately larger than the Stokes’ particle response time. We anticipate that this model will
prove especially useful in the context of sea-spray dispersion and its associated momentum, sensible and latent heat, and
gas fluxes between spray droplets and the atmosphere. 相似文献