311 research outputs found
Minska nÀringslÀckage frÄn regnbÀddar och sÀkerstÀlla etablering av vegetation
Urbanisering ökar förtÀtningen i staden och det blir allt fler hÄrdgjorda ytor som gör att vatten inte kan infiltrera. Det har skapat en större belastning pÄ ledningsnÀtet eftersom avrinningen har ökat. RegnbÀddar anvÀnds för att avlasta ledningsnÀtet genom att fördröja dagvatten men Àven för att rena dagvatten frÄn olika föroreningar som det för med sig. Ett nettolÀckage av nÀringsÀmnen vid ett inledande skede har dock observerats frÄn regnbÀddar vilket bidrar till vidare övergödning av sjöar och hav. NettolÀckaget tros bero pÄ nÀring som tillförts för att sÀkerstÀlla etablering av vegetation. Denna litteraturstudie har haft för avsikt att undersöka olika utformningar av regnbÀddars- och olika filtermaterials förmÄga att sÀkerstÀlla etablering av vegetation och samtidigt bidra till en rening av dagvatten. Studien tar Àven hÀnsyn till den stÄndort som förekommer i regnbÀddar och redovisar vilken vegetation som lÀmpar sig för det. Studien har undersökt filtermaterialen sand, lera, biokol och pimpsten och dess reningseffekt. Det kan konstateras att olika substrat bör anvÀndas för rening av olika nÀringsÀmnen och att ett substrat med lÄg infiltrationskapacitet Àr fördelaktigt för bÄde rening av dagvatten och vegetationen. Vegetationen har en viktig roll i rening av nÀringsÀmnen. VÀxtval bör dÀrför anpassas efter regnbÀddens specifika stÄndort sÄ att vegetation inte lider av stress, vilket annars kan pÄverka reningseffekten och etablering.Urbanization increases densification in the city which has increased the amount of hard surfaces that prevent water from infiltrating. This has created a greater load on the pipeline network because the runoff has increased. Rain beds are used to relieve the pipeline network by delaying stormwater but also to clean stormwater from various pollutants that it carries. However, a net leakage of nutrients at an initial stage has been observed from rain beds, which contributes to further eutrophication of lakes and oceans. The net leakage is believed to be caused by nutrients being added to ensure establishment of vegetation. This literature study has intended to investigate different designs of rain beds and different filter material's ability to ensure the establishment of vegetation and at the same time contribute to the purification of stormwater. The study also takes into account the habitat that occurs in rain beds and presents which vegetation is suitable for it. The study has examined the filter materials sand, clay, biochar, and pumice stone and their purification effects. It can be concluded that different substrates should be used for the removal of different nutrients and that a substrate with low infiltration capacity is beneficial for both stormwater treatment and vegetation. Vegetation plays an important role in the removal of nutrients. Therefore, plant selection should be adapted to the specific site conditions of the rain garden so that the vegetation does not suffer from stress, which could otherwise affect the purification efficiency and establishment
Calculation of the effect of random superfluid density on the temperature dependence of the penetration depth
Microscopic variations in composition or structure can lead to nanoscale
inhomogeneity in superconducting properties such as the magnetic penetration
depth, but measurements of these properties are usually made on longer length
scales. We solve a generalized London equation with a non-uniform penetration
depth, lambda(r), obtaining an approximate solution for the disorder-averaged
Meissner effect. We find that the effective penetration depth is different from
the average penetration depth and is sensitive to the details of the disorder.
These results indicate the need for caution when interpreting measurements of
the penetration depth and its temperature dependence in systems which may be
inhomogeneous
Modelling aggregation on the large scale and regularity on the small scale in spatial point pattern datasets
We consider a dependent thinning of a regular point process with the aim of
obtaining aggregation on the large scale and regularity on the small scale in
the resulting target point process of retained points. Various parametric
models for the underlying processes are suggested and the properties of the
target point process are studied. Simulation and inference procedures are
discussed when a realization of the target point process is observed, depending
on whether the thinned points are observed or not. The paper extends previous
work by Dietrich Stoyan on interrupted point processes
Bayesian spatial extreme value analysis of maximum temperatures in County Dublin, Ireland
In this study, we begin a comprehensive characterisation of temperature
extremes in Ireland for the period 1981-2010. We produce return levels of
anomalies of daily maximum temperature extremes for an area over Ireland, for
the 30-year period 1981-2010. We employ extreme value theory (EVT) to model the
data using the generalised Pareto distribution (GPD) as part of a three-level
Bayesian hierarchical model. We use predictive processes in order to solve the
computationally difficult problem of modelling data over a very dense spatial
field. To our knowledge, this is the first study to combine predictive
processes and EVT in this manner. The model is fit using Markov chain Monte
Carlo (MCMC) algorithms. Posterior parameter estimates and return level
surfaces are produced, in addition to specific site analysis at synoptic
stations, including Casement Aerodrome and Dublin Airport. Observational data
from the period 2011-2018 is included in this site analysis to determine if
there is evidence of a change in the observed extremes. An increase in the
frequency of extreme anomalies, but not the severity, is observed for this
period. We found that the frequency of observed extreme anomalies from
2011-2018 at the Casement Aerodrome and Phoenix Park synoptic stations exceed
the upper bounds of the credible intervals from the model by 20% and 7%
respectively
Water sources and mixing in riparian wetlands revealed by tracers and geospatial analysis
Acknowledgments We thank the European Research Council (ERC) (project GA 335910 VEWA) and Natural Environment Research Council (NERC) (project NE/K000268/1) for funding and the Airborne Research and Survey Facility for conducting the aerial survey. The data used are available from the authors. In addition, we would like to thank the additional support from Audrey Innes for the sample analysis and Maria Blumstock and Mike Kennedy for assisting with field work.Peer reviewedPublisher PD
Generalized Whittle-Matrn random field as a model of correlated fluctuations
This paper considers a generalization of Gaussian random field with
covariance function of Whittle-Matrn family. Such a random
field can be obtained as the solution to the fractional stochastic differential
equation with two fractional orders. Asymptotic properties of the covariance
functions belonging to this generalized Whittle-Matrn family
are studied, which are used to deduce the sample path properties of the random
field. The Whittle-Matrn field has been widely used in
modeling geostatistical data such as sea beam data, wind speed, field
temperature and soil data. In this article we show that generalized
Whittle-Matrn field provides a more flexible model for wind
speed data.Comment: 22 pages, 10 figures, accepted by Journal of Physics
Outlining multi-purpose forest inventories to assess the ecosystem approach in forestry
A summary and discussion of selected published results on the current and potential role of forest inventories (with particular
reference to the national ones) are presented in the light of the challenges posed by society and policy decisions in the
environmental sector. The analysis concentrates mainly on the ecological and socio-economic aspects of the question and on
forest inventoriesâ potential contribution to achieving sustainable forest management.L'articolo Ăš diponibile sul sito dell'editore wwww.tandf.co.uk/journals
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