| publications-1641 |
PEER REVIEWED ARTICLE |
2018 |
Elsa Aristodemou , Luz Maria Boganegra , Laetitia Mottet , Dimitrios Pavlidis , Achilleas Constantinou , Christopher Pain , Alan Robins , Helen ApSimo |
How tall buildings affect turbulent air flows and dispersion of pollution within a neighbourhood |
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10.1016/j.envpol.2017.10.041 |
Simulation & Modeling |
Uncategorized |
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No abstract available |
603663 |
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| publications-1642 |
PEER REVIEWED ARTICLE |
No year available |
Irina DINU, Georg UMGIESSER, Marco BAJO, Francesca DE PASCA LIS, Adrian STĂNICĂ, Cornel POP, Radu DIMITRIU, Iulian NICHERSU, Adrian CON STANTINESCU |
Modelling of the response of the Razelm-Sinoe lagoon system to physical forcing |
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10.5281/zenodo.45064 |
Simulation & Modeling |
Uncategorized |
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No abstract available |
607131 |
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| publications-1643 |
PEER REVIEWED ARTICLE |
2015 |
Zhan Hu , Walther Lenting , Daphne van der Wal , Tjeerd J. Bouma |
Continuous monitoring bed-level dynamics on an intertidal flat: Introducing novel, stand-alone high-resolution SED-sensors |
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10.1016/j.geomorph.2015.05.027 |
Simulation & Modeling |
Uncategorized |
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No abstract available |
607131 |
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| publications-1644 |
PEER REVIEWED ARTICLE |
2016 |
Larissa A. Naylor , Tom Spencer , Stuart N. Lane , Stephen E. Darby , Francis J. Magilligan , Mark G. Macklin , Iris Möller |
Stormy geomorphology: geomorphic contributions in an age of climate extremes |
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10.1002/esp.4062 |
Simulation & Modeling |
Uncategorized |
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AbstractThe increasing frequency and/or severity of extreme climate events are becoming increasingly apparent over multi‐decadal timescales at the global scale, albeit with relatively low scientific confidence. At the regional scale, scientific confidence in the future trends of extreme event likelihood is stronger, although the trends are spatially variable. Confidence in these extreme climate risks is muddied by the confounding effects of internal landscape system dynamics and external forcing factors such as changes in land use and river and coastal engineering. Geomorphology is a critical discipline in disentangling climate change impacts from other controlling factors, thereby contributing to debates over societal adaptation to extreme events. We review four main geomorphic contributions to flood and storm science. First, we show how palaeogeomorphological and current process studies can extend the historical flood record while also unraveling the complex interactions between internal geomorphic dynamics, human impacts and changes in climate regimes. A key outcome will be improved quantification of flood probabilities and the hazard dimension of flood risk. Second, we present evidence showing how antecedent geomorphological and climate parameters can alter the risk and magnitude of landscape change caused by extreme events. Third, we show that geomorphic processes can both mediate and increase the geomorphological impacts of extreme events, influencing societal risk. Fourthly, we show the potential of managing flood and storm risk through the geomorphic system, both near‐term (next 50 years) and longer‐term. We recommend that key methods of managing flooding and erosion will be more effective if risk assessments include palaeodata, if geomorphological science is used to underpin nature‐based management approaches, and if land‐use management addresses changes in geomorphic process regimes that extreme events can trigger. We argue that adopting geomorphologically‐grounded adaptation strategies will enable society to develop more resilient, less vulnerable socio‐geomorphological systems fit for an age of climate extremes. © 2016 The Authors. Earth Surface Processes and Landforms published by John Wiley & Sons Ltd. |
607131 |
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| publications-1645 |
PEER REVIEWED ARTICLE |
2017 |
Andy J Green , Paloma Alcorlo , Edwin THM Peeters , Edward P Morris , José L Espinar , Miguel Angel Bravo-Utrera , Javier Bustamante , Ricardo Díaz- |
Creating a safe operating space for wetlands in a changing climate |
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10.1002/fee.1459 |
Simulation & Modeling |
Uncategorized |
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Many of the world's wetlands may be profoundly affected by climate change over the coming decades. Although wetland managers may have little control over the causes of climate change, they can help to counteract its effects through local measures. This is because direct anthropogenic impacts, such as water extraction and nutrient loading, work in concert with climate change to damage wetlands. Control of these local stressors may therefore ameliorate undesired effects of climate change, such as a shift towards dominance by invasive floating plants, increasingly frequent cyanobacteria blooms, or extinction of key species. Using the iconic Doñana wetlands in Spain as a case study, we illustrate how the concept of creating a “safe operating space” may be implemented to better ensure that ecosystems do not surpass thresholds for collapse during an era of global change. |
607131 |
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| publications-1646 |
PEER REVIEWED ARTICLE |
2017 |
I. Emma Huertas , Susana Flecha , Jordi Figuerola , Eduardo Costas , Edward P. Morris |
Effect of hydroperiod on CO 2 fluxes at the air-water interface in the Mediterranean coastal wetlands of Doñana |
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10.1002/2017jg003793 |
Simulation & Modeling |
Uncategorized |
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No abstract available |
607131 |
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| publications-1647 |
PEER REVIEWED ARTICLE |
2017 |
Heng Wang , Daphne van der Wal , Xiangyu Li , Jim van Belzen , Peter M. J. Herman , Zhan Hu , Zhenming Ge , Liquan Zhang , Tjeerd J. Bouma |
Zooming in and out: Scale dependence of extrinsic and intrinsic factors affecting salt marsh erosion |
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10.1002/2016jf004193 |
Simulation & Modeling |
Uncategorized |
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AbstractSalt marshes are valuable ecosystems that provide important ecosystem services. Given the global scale of marsh loss due to climate change and coastal squeeze, there is a pressing need to identify the critical extrinsic (wind exposure and foreshore morphology) and intrinsic factors (soil and vegetation properties) affecting the erosion of salt marsh edges. In this study, we quantified rates of cliff lateral retreat (i.e., the eroding edge of a salt marsh plateau) using a time series of aerial photographs taken over four salt marsh sites in the Westerschelde estuary, the Netherlands. In addition, we experimentally quantified the erodibility of sediment cores collected from the marsh edge of these four marshes using wave tanks. Our results revealed the following: (i) at the large scale, wind exposure and the presence of pioneer vegetation in front of the cliff were the key factors governing cliff retreat rates; (ii) at the intermediate scale, foreshore morphology was partially related to cliff retreat; (iii) at the local scale, the erodibility of the sediment itself at the marsh edge played a large role in determining the cliff retreat rate; and (iv) at the mesocosm scale, cliff erodibility was determined by soil properties and belowground root biomass. Thus, both extrinsic and intrinsic factors determined the fate of the salt marsh but at different scales. Our study highlights the importance of understanding the scale dependence of the factors driving the evolution of salt marsh landscapes. |
607131 |
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| publications-1648 |
PEER REVIEWED ARTICLE |
2017 |
Zhan Hu , Peng Yao , Daphne van der Wal , Tjeerd J. Bouma |
Patterns and drivers of daily bed-level dynamics on two tidal flats with contrasting wave exposure |
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10.1038/s41598-017-07515-y |
Simulation & Modeling |
Uncategorized |
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AbstractShort-term bed-level dynamics has been identified as one of the main factors affecting biota establishment or retreat on tidal flats. However, due to a lack of proper instruments and intensive labour involved, the pattern and drivers of daily bed-level dynamics are largely unexplored in a spatiotemporal context. In this study, 12 newly-developed automatic bed-level sensors were deployed for nearly 15 months on two tidal flats with contrasting wave exposure, proving an unique dataset of daily bed-level changes and hydrodynamic forcing. By analysing the data, we show that (1) a general steepening trend exists on both tidal flats, even with contrasting wave exposure and different bed sediment grain size; (2) daily morphodynamics level increases towards the sea; (3) tidal forcing sets the general morphological evolution pattern at both sites; (4) wave forcing induces short-term bed-level fluctuations at the wave-exposed site, but similar effect is not seen at the sheltered site with smaller waves; (5) storms provoke aggravated erosion, but the impact is conditioned by tidal levels. This study provides insights in the pattern and drivers of daily intertidal bed-level dynamics, thereby setting a template for future high-resolution field monitoring programmes and inviting in-depth morphodynamic modelling for improved understanding and predictive capability. |
607131 |
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| publications-1649 |
PEER REVIEWED ARTICLE |
2015 |
Sónia Cristina , John Icely , Priscila Costa Goela , Tomás Angel DelValls , Alice Newton |
Using remote sensing as a support to the implementation of the European Marine Strategy Framework Directive in SW Portugal |
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10.1016/j.csr.2015.03.011 |
Simulation & Modeling |
Uncategorized |
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No abstract available |
607325 |
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| publications-1650 |
PEER REVIEWED ARTICLE |
2016 |
Sónia Cristina , Clara Cordeiro , Samantha Lavender , Priscila Costa Goela , John Icely , Alice Newton |
MERIS Phytoplankton Time Series Products from the SW Iberian Peninsula (Sagres) Using Seasonal-Trend Decomposition Based on Loess |
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10.3390/rs8060449 |
Simulation & Modeling |
Uncategorized |
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The European Space Agency has acquired 10 years of data on the temporal and spatial distribution of phytoplankton biomass from the MEdium Resolution Imaging Spectrometer (MERIS) sensor for ocean color. The phytoplankton biomass was estimated with the MERIS product Algal Pigment Index 1 (API 1). Seasonal-Trend decomposition of time series based on Loess (STL) identified the temporal variability of the dynamical features in the MERIS products for water leaving reflectance (ρw(λ)) and API 1. The advantages of STL is that it can identify seasonal components changing over time, it is responsive to nonlinear trends, and it is robust in the presence of outliers. One of the novelties in this study is the development and the implementation of an automatic procedure, stl.fit(), that searches the best data modeling by varying the values of the smoothing parameters, and by selecting the model with the lowest error measure. This procedure was applied to 10 years of monthly time series from Sagres in the Southwestern Iberian Peninsula at three Stations, 2, 10 and 18 km from the shore. Decomposing the MERIS products into seasonal, trend and irregular components with stl.fit(), the ρw(λ) indicated dominance of the seasonal and irregular components while API 1 was mainly dominated by the seasonal component, with an increasing effect from inshore to offshore. A comparison of the seasonal components between the ρw(λ) and the API 1 product, showed that the variations decrease along this time period due to the changes in phytoplankton functional types. Furthermore, inter-annual seasonal variation for API 1 showed the influence of upwelling events and in which month of the year these occur at each of the three Sagres stations. The stl.fit() is a good tool for any remote sensing study of time series, particularly those addressing inter-annual variations. This procedure will be made available in R software. |
607325 |
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