Sentences with phrase «different scales of impact»

These vary during the different phases of well development and have different scales of impact: Vibration may affect only people very close to wells, whereas stress from, for example, concerns about possible water contamination may have a wider reach.

Not exact matches

The Montana Department of Natural Resources and Conservation argued in the legal case that its plan to build roads and harvest trees would have minimal impact on grizzlies because it called for logging of small areas at different times rather than a full - scale clearing operation.

«On a bigger scale, sensors could be placed at different locations at catchment scale to observe any changes in the level of salinity within a field over time, having a direct impact on irrigation strategies.

The «cause of death» (assessed by the 4 - point Hardy scale classification, Supplementary Notes 1) is quite different for individuals from whom Blood was obtained pre-mortem compared to post-mortem, but this does not appear to have a major impact on the clustering, which is independent of Hardy classification (see Methods, Fig. 6a).

Obviously, scaling this impact by different standard deviations from alternative populations of students - as Krueger does - would yield different effect sizes.

The paper defines performance assessment and different types of performance tasks; reviews recent history of performance assessments in the United States; and summarizes research on the quality, impact, and burden of performance assessments used in large - scale K - 12 achievement testing.

They will look at the pros and cons of different paths to scale, such as brick - and - mortar versus online options, replication versus adaptation, collective impact models, and more.

«There are a number of different strategies that we can take from the work that was done here to be able to scale collective impact across our district, and help us improve student achievement one building at a time,» Driver says.

Since educators nationwide use a variety of different learning management systems, and we want to scale our impact by reaching as many as possible, we are interested in making our professional development content available in platforms that aim to promote blended and personalized learning.

But there are numerous other art schools around the world that have also made enormous impacts on the history of art, yielding generations of exalted alumni, boasting world - class faculty, and operating on a totally different scale and historical timeframe from schools of the U.S. model.

We know that both are painters, but culturally, they appear to have been informed by different attributes regarding scale and color, line, and force of visual impact.

Clearly, if we hope to achieve impact of this dramatic scale in the 21st century, we must do what our predecessors did so bravely and so well: see the world anew; experiment based on new and different perspectives; and find, fund, and then scale the innovations that emerge.

There are significant uncertainties associated with the scale, nature, and environmental impacts of different sectors of economic activity and stemming from the interplay between different sectors.

The overall level of consistency between attribution results derived from different models (as shown in Figure 9.9), and the ability of climate models to simulate large - scale temperature changes during the 20th century (Figures 9.5 and 9.6), indicate that such model differences are likely to have a relatively small impact on attribution results of large - scale temperature change at the surface.

Incorporation of information typically used as input assumptions by integrated assessment models of the global energy - economy - land use system, or by global - scale climate impact models of different sectors.

They can either ignore the failings of their downscaling approach when applied to multi-decadal regional climate change impact studies and continue to mislead those communities, or they can reassess and focus on the quantification of the predictability of regional climate statistics and their changes on different time and space scales.

Methodological advances since the TAR have focused on exploring the effects of different ways of downscaling from the climate model scale to the catchment scale (e.g., Wood et al., 2004), the use of regional climate models to create scenarios or drive hydrological models (e.g., Arnell et al., 2003; Shabalova et al., 2003; Andreasson et al., 2004; Meleshko et al., 2004; Payne et al., 2004; Kay et al., 2006b; Fowler et al., 2007; Graham et al., 2007a, b; Prudhomme and Davies, 2007), ways of applying scenarios to observed climate data (Drogue et al., 2004), and the effect of hydrological model uncertainty on estimated impacts of climate change (Arnell, 2005).

Thirty years to establish a climate state seems a long time, as within that period there may be notable shifts to a number of different prevailing patterns of cold / warmth / wet or drought that, on a human scale affects agriculture and horticulture by impacting on what crops may be grown successfully, may affect the tourism season, may cause a consumer to use more or less energy in their home, and also impact on nature by affecting the populations of wild life and vegetation.

Human activities may have the potential to push components of the Earth system past critical states into qualitatively different modes of operation, implying large - scale impacts on human and ecological systems.

Climate change was assessed by means of two Long Ashton Research Station - Weather Generator (LARS - WG) weather generators and all outputs from the available general circulation models in the Model for the Assessment of Greenhouse - gas Induced Climate Change - SCENario GENerator (MAGICC - SCENGEN) software, in combination with different emission scenarios at the regional scale, while the Providing Regional Climates for Impacts Studies (PRECIS) model has been used for projections at the local scale.

For example, in the forthcoming U.K. Climate Impacts Program (UKCIP08) scenarios that Lenny refers to (and in which I'm involved), we plan to supply information on changes in a number of climate variables, at a range of space and time scales, for different periods during the twenty - first century.

Might the «weather» of orbital cycles be impacted by K / T but not the «climate» — perhaps the trajectories of obliquity, precession and eccentricity would become completely different given sufficient time, but maybe with the same general character — periods and amplitudes and average values being similar enough that a casual glance at any given time segment (on the necessary scale to characterize the orbital cycle «climate») wouldn't look like anything different.

It appears that large - regional or national estimates of possible impacts may give a different picture of vulnerabilities than an aggregation of vulnerabilities defined at a small - regional or local scale.

Uncertainties due to the spatial scale of the scenarios and stemming from the application of different RCMs versus different GCMs (including models not used for regionalisation) were elaborated on in a range of impact studies (e.g., Ekstrom et al., 2007; Fronzek and Carter, 2007; Hingray et al., 2007; Graham et al., 2007; Olesen et al., 2007).

Quantitative estimates of costs and benefits associated with particular policy options can inform responses, but such valuations face a myriad of issues, including the choice of which impacts to «internalize» within the economic valuation, the value of future versus present risk, and how to compare different types of impacts on a common scale (e.g. (Arrow et al. 2013; European Commission 1995; Johnson and Hope 2012; Muller et al. 2011; National Research Council 2010, hereafter NRC2010; Nordhaus and Boyer 2000)-RRB-.

The use of two different scales at alternative sweeps potentially presents some problems in relation to comparability, particularly as the MCS aims to assess the impact mental health problems have on everyday life, while the DASS is a more symptomatic measure.

This amazing river project looks at new definitions of the term «prosperity» and how reimagining the natural realm can impact the regional economy for future generations in terms of smart growth on a very different scale.