What precision in the Digital Terrain Model is required for noise mapping?

Arana, Miguel; Martín, Ricardo San; Nagore, Iñaki; Pérez, David

doi:10.1016/j.apacoust.2010.06.010

Cited by 15 publications

(4 citation statements)

References 2 publications

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“…In this study, the smallest pixel size (25 cm) did not give much more information on the hydrological connectivity of the watershed than the 1 m pixel size. In addition, this small pixel size required a long calculation time (Arana et al, 2011) of about, respectively, 20 and 700 times the 1 m and 10 m calculation time (Figure 2) even though the area covered by the watershed was only 124 ha. From our findings, 1 m appeared to be a good compromise between calculation time and results usefulness.…”

Section: Resultsmentioning

confidence: 99%

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How pixel size affects a sediment connectivity index in central Belgium

Cantreul

Bielders

Calsamiglia

et al. 2017

Earth Surf Processes Landf

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Connectivity has become an increasingly used concept in hydrological and sediment research. In order to quantify it, various indices have been proposed since the start of the 21st century including the index of connectivity. This index is based on a limited number of factors, the most important one being topography. Sediment connectivity indices values probably depend on the digital elevation model (DEM) resolution. The aim of this study was, first, to compare the effect of DEM pixel size (between 0.25 and 10 m, using an UAV) in the Belgian loess belt, a lowland area. We show that the index values were lower when the pixel size decreased (a difference of about 20% in value between 0.25 and 10 m). In addition, the impact of linear features in the watershed (e.g. grass strip, bank and road) was lower with the largest pixel sizes, and the connectivity pattern was affected with a pixel size of 5 m or more. At lower pixel sizes (1 m or below), some more disconnected regions appeared. These corresponded with zones where there had been water stagnation during and after rainfalls, and was corroborated by field observations. This confirmed the need for a proper resolution according to the objectives of the study. The second aim of this study was to deduce a minimum pixel size for connectivity study, helping local erosion or sedimentation location and consequent land management decisions. In our context, 1 m stands as the optimum DEM resolution. This pixel size permitted location of all ‘key areas’ in terms of erosion. Very high resolutions (<0.5 m) did not generate much more information, and their calculation time was far greater. Copyright © 2017 John Wiley & Sons, Ltd.

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Section: Resultsmentioning

confidence: 99%

“…Pixel size has been recognized as very important for hydrological processes and erosion modeling (Keesstra et al, 2014). It influences index value as well as calculation time (Arana et al, 2011). With the advent of new technologies (e.g.…”

Section: Introductionmentioning

confidence: 99%

How pixel size affects a sediment connectivity index in central Belgium

Cantreul

Bielders

Calsamiglia

et al. 2017

Earth Surf Processes Landf

View full text Add to dashboard Cite

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“…Simplifications implemented to allow fast evaluation could be a reason as well. Among others, the influence of meteorological effects, intermediate city canyons [9,10], green roofs [11], roof details [12] and terrain details [13,14] is not sufficiently captured.…”

Section: Introductionmentioning

confidence: 99%

Dynamic noise mapping: A map-based interpolation between noise measurements with high temporal resolution

et al. 2016

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Since the introduction of the Environmental Noise Directive, strategic noise mapping has been used as a tool for noise policy in many European countries. Although these strategic noise maps have their merits, they also have some shortcomings: accuracy in predicted noise levels in shielded or quiet areas is not very high, the maps fail to capture sounds that are less easy to predict, and above all the dynamics of the sound environment is not included. However, these dynamics might be important to evaluate sleep disturbance and noise annoyance. In this paper, a model to dynamically (every 15 minutes) update a noise map based on measurements is proposed. This model relies on reasonable good source and propagation models and a not-very-dense measurement network. The least mean squares method (LMS) is used for tuning model parameters. To avoid an under-determined system, the number of degrees of freedom is reduced by grouping the sources and propagation paths into different categories. Source strengths and propagation path attenuations in the same category are corrected by offsetting the same small values from their base levels. The map-based interpolation is performed jointly on L Aeq , L 10 and L 90 , and takes into account 1/3-octave band spectra. The efficiency of the proposed method was validated in a case study in the Katendrecht district of Rotterdam, the Netherlands. The results showed that more than 75% of the L Aeq predictions are closer to the measurement than the ab initio calculations based on traffic data. Values for L 10 and L 90 are closer to measurements for 55% and 90% of the observations, respectively.

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“…La producción sistemática de mapas estratégicos de ruido a nivel de la Unión Europea se basa en una serie de recomendaciones que determinan un nivel de resolución espacial definido para estimar los niveles medios de exposición de la población europea Sin embargo, la influencia de la resolución espacial, en la que se localizan los puntos donde se hacen los cálculos, no se ha investigado con el mismo detalle que otros factores (Asensio et al, 2011). Por ejemplo no hay recomendaciones para determinar la resolución en función de la orografía del terreno, un aspecto tan determinante en la transmisión del sonido y en los resultados de los modelos (Arana et al, 2011). Pese a que una mayor densidad de curvas de nivel, propia de los terrenos más accidentados, a igualdad de escala cartográfica también se traduce en un elevado número de objetos (items) en el modelo digital.…”

Section: Mapas De Ruidounclassified

Evaluación del ruido ambiental en espacios naturales protegidos: implicaciones para su gestión

Iglesias-Merchán¹

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What precision in the Digital Terrain Model is required for noise mapping?

Cited by 15 publications

References 2 publications

How pixel size affects a sediment connectivity index in central Belgium

How pixel size affects a sediment connectivity index in central Belgium

Dynamic noise mapping: A map-based interpolation between noise measurements with high temporal resolution

Evaluación del ruido ambiental en espacios naturales protegidos: implicaciones para su gestión

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