The effects of station density in geostatistical prediction of air temperatures in Sweden: A comparison of two interpolation techniques

Njoku, Elijah Akwarandu; Akpan, Patrick Etim; Effiong, Augustine Edet; Babatunde, Isaac Oluwatosin

doi:10.1016/j.resenv.2022.100092

Cited by 9 publications

(4 citation statements)

References 34 publications

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“…Apesar de alguns dados não apresentarem normalidade, a análise geoestatística pode ser realizada, no entanto, os dados que seguem distribuição normal fornecem maior precisão nas estimativas da (Njoku et al, 2023).…”

Section: Discussionunclassified

Relação espaço-temporal de Meloidogyne e Pratylenchus com atributos biométricos, nutricionais e enzimáticos da cana-de-açúcar

Silva

Pedrosa

Vicente

et al. 2023

RSD

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Dois experimentos foram realizados no Município de Camutanga, Pernambuco, objetivando avaliar relações entre a distribuição espaço-temporal dos nematoides endoparasitas Meloidogyne e Pratylenchus e atributos biométricos, nutricionais e enzimáticos da cana-de-açúcar (cana-planta e cana-soca). As avaliações, realizadas aos 6, 9 e 12 meses após o plantio da cana (Área 1) e corte para renovação da soca (Área 2), fundamentaram-se na densidade populacional dos endoparasitas na raiz, altura, diâmetro e número de colmos da cana, teores de fósforo, potássio, cálcio e magnésio na folha e atividade das enzimas ascorbato peroxidase e superóxido dismutase. Os dados foram submetidos à análise descritiva e geoestatística, gerando mapas de isolinhas por meio de semivariograms teóricos ajustados às semivariâncias dos dados. Os modelos esférico e exponencial foram ajustados à maioria das variáveis avaliadas. Na área 1, os padrões de distribuição espaço-temporal de Meloidogyne e Pratylenchus diferiram ao longo do tempo, tornando-se, no geral, mais homogêneos. O desenvolvimento da cana-soca na área 2 foi prejudicado por regiões de alta densidade populacional de Pratylenchus, as quais coincidiram com regiões de baixos teores de potássio e magnésio.

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Section: Discussionunclassified

Relação espaço-temporal de Meloidogyne e Pratylenchus com atributos biométricos, nutricionais e enzimáticos da cana-de-açúcar

Silva

Pedrosa

Vicente

et al. 2023

RSD

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“…The establishment of such a network of densely distributed acoustic sensors is typically quite expensive, especially for wide areas and regions. Moreover, there are debates on the quality of outputs generated through interpolation methods, see for example the study published by the authors of [ 20 ]. Meanwhile, the model-based methodology to generate noise maps relies on noise prediction models to estimate and develop noise maps, see for example the study published by the authors of [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

Traffic Noise Assessment Using Intelligent Acoustic Sensors (Traffic Ear) and Vehicle Telematics Data

Ghaffarpasand,

Almojarkesh,

Morris

et al. 2023

Sensors

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Here, we introduce Traffic Ear, an acoustic sensor pack that determines the engine noise of each passing vehicle without interrupting traffic flow. The device consists of an array of microphones combined with a computer vision camera. The class and speed of passing vehicles were estimated using sound wave analysis, image processing, and machine learning algorithms. We compared the traffic composition estimated with the Traffic Ear sensor with that recorded using an automatic number plate recognition (ANPR) camera and found a high level of agreement between the two approaches for determining the vehicle type and fuel, with uncertainties of 1–4%. We also developed a new bottom-up assessment approach that used the noise analysis provided by the Traffic Ear sensor along with the extensively detailed urban mobility maps that were produced using the geospatial and temporal mapping of urban mobility (GeoSTMUM) approach. It was applied to vehicles travelling on roads in the West Midlands region of the UK. The results showed that the reduction in traffic engine noise over the whole of the study road was over 8% during rush hours, while the weekday–weekend effect had a deterioration effect of almost half. Traffic noise factors (dB/m) on a per-vehicle basis were almost always higher on motorways compared the other roads studied.

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“…The distribution of these stations normally has varying densities and, depending on topography and atmospheric circulation, the data can have a considerable bias towards the thermal gradients formulated by the interpolation methods. The effect of this limitation has been reported, and it normally results in lower representability of smaller-scale heterogeneities due to a lack of information [10][11][12]. Furthermore, studies typically look at the mean values of temperature in a given period calculated from monthly or annual datasets.…”

Section: Introductionmentioning

confidence: 99%

The Relationship between Land Surface Temperature and Air Temperature in the Douro Demarcated Region, Portugal

Adão,

Fraga,

Fonseca

et al. 2023

Remote Sensing

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Climatic studies of agricultural regions normally use gauge-based air temperature datasets, which are produced with interpolation methods. The informative quality of these datasets varies depending on the density of the weather stations in a particular region. A way to overcome this limitation is to use the land surface temperature calculated from satellite imagery. To show this, the MODIS land surface temperature was compared with the PTHRES gridded dataset for air temperature in the Douro Demarcated Region (Portugal) between the years 2002 and 2020. The MODIS land surface temperature was able to detect a more pronounced maritime–continental gradient, a higher lapse rate, and thermal inversions in valley areas in winter. This information could prove to be crucial for farmers looking to adapt their practices and crops to extreme events, such as heat waves or heavy frost. However, the use of land surface temperature in climate studies should consider the differences in air temperature, which, on some occasions and locations, can be up to ten degrees in the summer.

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The effects of station density in geostatistical prediction of air temperatures in Sweden: A comparison of two interpolation techniques

Cited by 9 publications

References 34 publications

Relação espaço-temporal de Meloidogyne e Pratylenchus com atributos biométricos, nutricionais e enzimáticos da cana-de-açúcar

Relação espaço-temporal de Meloidogyne e Pratylenchus com atributos biométricos, nutricionais e enzimáticos da cana-de-açúcar

Traffic Noise Assessment Using Intelligent Acoustic Sensors (Traffic Ear) and Vehicle Telematics Data

The Relationship between Land Surface Temperature and Air Temperature in the Douro Demarcated Region, Portugal

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