Screening and optimization of interpolation methods for mapping soil-borne polychlorinated biphenyls

Liu, Ao; Qu, Chengkai; Zhang, Jiaquan; Sun, Wen; Shi, Changhe; Lima, Annamaria; De Vivo, Benedetto; Huang, Huanfang; Palmisano, Maurizio; Guarino, Annalise; Qi, Shihua; Albanese, Stefano

doi:10.1016/j.scitotenv.2023.169498

Cited by 2 publications

(2 citation statements)

References 71 publications

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“…Empirical Bayesian Kriging (EBK) has clearly yielded the best results and introduces the least modifications between raw and interpolated data. The superiority of this method over other interpolation methods has been highlighted in numerous instances in current scientific literature [104][105][106]. This may be attributed to its less restrictive assumptions regarding data distribution [107].…”

Section: Downscaling Of Gcms Temperature Datamentioning

confidence: 93%

Unveiling Deviations from IPCC Temperature Projections through Bayesian Downscaling and Assessment of CMIP6 General Circulation Models in a Climate-Vulnerable Region

Ferreiro-Lera,

Penas,

del Río

2024

Remote Sensing

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The European Mediterranean Basin (Euro-Med), a region particularly vulnerable to global warming, notably lacks research aimed at assessing and enhancing the widely used remote climate detection products known as General Circulation Models (GCMs). In this study, the proficiency of GCMs in replicating reanalyzed 1981–2010 temperature data sourced from the ERA5 Land was assessed. Initially, the least data-modifying interpolation method for achieving a resolution match of 0.1° was ascertained. Subsequently, a pixel-by-pixel evaluation was conducted, employing five goodness-of-fit metrics. From these metrics, we compiled a Comprehensive Rating Index (CRI). A Multi-Model Ensemble using Random Forest was constructed and projected across three emission scenarios (SSP1-RCP2.6, SSP2-RCP4.5, and SSP5-RCP8.5) and timeframes (2026–2050, 2051–2075, and 2076–2100). Empirical Bayesian Kriging, selected for its minimal data alteration, supersedes the commonly employed Bilinear Interpolation. The evaluation results underscore MPI-ESM1-2-HR, GFDL-ESM4, CNRM-CM6-1, MRI-ESM2-0, CNRM-ESM2-1, and IPSL-CM6A-LR as top-performing models. Noteworthy geospatial disparities in model performance were observed. The projection outcomes, notably divergent from IPCC forecasts, revealed a warming trend of 1 to over 2 °C less than anticipated for spring and winter over the medium–long term, juxtaposed with heightened warming in mountainous/elevated regions. These findings could substantially refine temperature projections for the Euro-Med, facilitating the implementation of policy strategies to mitigate the effects of global warming in vulnerable regions worldwide.

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Section: Downscaling Of Gcms Temperature Datamentioning

confidence: 93%

Unveiling Deviations from IPCC Temperature Projections through Bayesian Downscaling and Assessment of CMIP6 General Circulation Models in a Climate-Vulnerable Region

Ferreiro-Lera,

Penas,

del Río

2024

Remote Sensing

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“…In this study, co-kriging interpolation was applied to analyze the noise data along with the number of vehicles. While estimating the values of unobserved points through co-kriging interpolation, semivariogram models (Stable, Circular, and Spherical) that compute the spatial variation of regional variables were utilized (Liu et al 2024 ). The co-kriging method is based on the ability to use non-detailed or incomplete secondary data and to take into account spatial cross-correlation between primary and secondary variables (Goovaerts 1997 ).…”

Section: Methodsmentioning

confidence: 99%

Assessment and mapping of noise pollution in recreation spaces using geostatistic method after COVID-19 lockdown in Turkey

Olgun,

Karakuş,

Selim

et al. 2024

Environ Sci Pollut Res

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Increased use of recreational areas after the lifting of COVID-19 pandemic restrictions has led to increased noise levels. This study aims to determine the level of noise pollution experienced in recreational areas with the increasing domestic and international tourism activities after the lifting of pandemic lockdowns, to produce spatial distribution maps of noise pollution, and to develop strategic planning suggestions for reducing noise pollution in line with the results obtained. Antalya-Konyaaltı Beach Recreation Area, the most important international tourism destination of Turkey, is determined as the study area. To determine the existing noise pollution, 31 measurement points were marked at 100 m intervals within the study area. Noise measurements were taken during the daytime (07:00–19:00), evening (19:00–23:00), and nighttime (23:00–07:00) on weekdays (Monday, Wednesday, Friday) and weekends (Sunday) over 2 months in the summer when the lockdown was lifted. In addition, the sound level at each measurement point was recorded for 15 min, while the number of vehicles passing through the area during the same period was determined. The database created as a result of measurements and observations was analyzed using statistical and geostatistical methods. After the analysis of the data, it was found that the co-kriging-stable model showed superior performance in noise mapping. Additionally, it was revealed that there is a high correlation between traffic density and noise intensity, with the highest equivalent noise level (Leq) on weekdays and weekend evenings due to traffic and user density. In conclusion, regions exposed to intense noise pollution were identified and strategic planning recommendations were developed to prevent/reduce noise sources in these identified regions.

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Screening and optimization of interpolation methods for mapping soil-borne polychlorinated biphenyls

Cited by 2 publications

References 71 publications

Unveiling Deviations from IPCC Temperature Projections through Bayesian Downscaling and Assessment of CMIP6 General Circulation Models in a Climate-Vulnerable Region

Unveiling Deviations from IPCC Temperature Projections through Bayesian Downscaling and Assessment of CMIP6 General Circulation Models in a Climate-Vulnerable Region

Assessment and mapping of noise pollution in recreation spaces using geostatistic method after COVID-19 lockdown in Turkey

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