Evaluation of modeled wind field for dispersion modeling

Tartakovsky, Dmitry; Stern, Eli; Broday, David M.

doi:10.1016/j.atmosres.2015.07.004

Cited by 9 publications

(6 citation statements)

References 15 publications

(27 reference statements)

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“…The local wind field in the study area is simulated using the WRF [50] model combined with the BEP [51] urban canopy model [68,69]. Due to the accelerating urbanization process and the failure to update the WRF land surface data in a timely and effective manner, there is a significant deviation between the actual observations of the meteorological environment and the simulation results of the WRF model [70][71][72][73]. Therefore, this study first extracts the urban impermeable surface information using the normalized difference impervious surface index (NDISI) developed by Xu [74] and refines the urban built-up areas into "low-density areas", "medium-density areas" and "high-density areas" according to their NDISI differences to optimize the land use data in the WRF model [75,76].…”

Section: Simulation Of Local Wind Fieldmentioning

confidence: 99%

Satellite-Based Optimization and Planning of Urban Ventilation Corridors for a Healthy Microclimate Environment

Gong,

Dai,

Zhou

2023

Sustainability

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Urban ventilation corridors (UVCs) have the potential to effectively mitigate urban heat islands and air pollution. Shanghai, a densely populated city located in eastern China, is among the hottest cities in the country and requires urgent measures in order to enhance its ventilation system. This study introduces a novel approach that integrates land surface temperature retrieval, PM2.5 concentration retrieval, and wind field simulation to design UVCs at the city level. Through remote sensing data inversion of land surface temperature (LST) and PM2.5 concentration, the study identifies the action spaces and compensation spaces for UVCs. The Weather Research and Forecasting (WRF) model, coupled with the multilayer urban scheme Building Effect Parameterization (BEP) model, is employed to numerically simulate and analyze the wind field. Based on the identification of thirty high-temperature zones and high PM2.5 concentration zones as action spaces, and twenty-two low-temperature zones and low PM2.5 concentration zones as compensation spaces in Shanghai, the study constructs seven first-class ventilation corridors and nine secondary ventilation corridors according to local circulation patterns. Unlike previous UVC research, this study assesses the cleanliness of cold air, which is a common oversight in UVC planning. Ignoring the assessment of cold air cleanliness can result in less effective UVCs in improving urban air quality and even exacerbate air pollution in the central city. Therefore, this study serves as a crucial contribution by rectifying this significant deficiency. It not only provides a fresh perspective and methodology for urban-scale ventilation corridor planning but also contributes to enhancing the urban microclimate by mitigating the effects of urban heat islands and reducing air pollution, ultimately creating a livable and comfortable environment for urban residents.

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Section: Simulation Of Local Wind Fieldmentioning

confidence: 99%

Satellite-Based Optimization and Planning of Urban Ventilation Corridors for a Healthy Microclimate Environment

Gong,

Dai,

Zhou

2023

Sustainability

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“…Accurate air quality predictions on a local scale (<50 km) and in complex terrain constitute one of the scientific challenges due to, among others, the necessity of replicating local meteorological conditions while maintaining adequate computational efficiency. The fundamental problem associated with air quality modeling for impact assessments is the availability of representative meteorological data for the considered area, as noted by Tartakovsky et al [1], Abril et al [2], Karthick and Devadoss [3] or Ottosen et al [4]. In many cases, the application of data from existing monitoring systems of meteorological parameters is not adequate.…”

Section: Introductionmentioning

confidence: 99%

“…Two of the most recognizable mesoscale meteorological models used for providing input to the air pollution models are the WRF [11] and MM5 [12]. However, the MM5 model is no longer supported and developed since 2005 and the results of research included in [1] provide evidence that for the purpose of air quality modeling the application of the simulation outputs from WRF is more effective. WRF was designed for general atmospheric research purposes as well as for operational forecasting.…”

Section: Introductionmentioning

confidence: 99%

Accuracy Assessment of WRF Model in the Context of Air Quality Modeling in Complex Terrain

Rzeszutek,

Kłosowska,

Oleniacz

2023

Sustainability

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Output data from the Weather Research and Forecasting (WRF) model are frequently used in air quality modeling for scientific, practical and regulatory purposes. Therefore, it is crucial to determine whether the accuracy of WRF predictions is suitable for application in air quality models on a local scale (<50 km) and in complex terrain. The presented research is unique because, to assess the accuracy of the WRF model, data from experimental data sets for the assessment of air quality models were used, which contained information about the actual conditions of selected meteorological parameters along the vertical profile of the atmosphere. The aim of the study was to conduct an evaluation of the WRF model using data derived from three field experiments designated to conduct air quality model evaluation studies for models such as AERMOD, ADMS or CALPUFF. Accuracy evaluation was carried out in relation to the grid resolution, station location (on-site and weather airport) and vertical profile of the atmosphere. Obtained results of the evaluation for temperature, wind speed and direction were analyzed with regard to the possibilities of application in air quality modeling systems. It was stated that the use of a grid with a resolution of 1 km generally resulted in statistically significantly lower values of errors for wind speed compared to a 4 km resolution. The outcomes of simulations for temperature and wind speed were sensitive with regard to the location. In on-site locations (complex terrain) significantly higher values of prediction errors (MB, MGE, RMSE) were obtained compared to the standard weather station locations (airport). In addition, wind speed predictions in on-site locations were generally biased (overestimated). Along the vertical profile of the atmosphere, up to the altitude of 100 m a.g.l., statistically significantly different outcomes of accuracy evaluation were achieved for wind speed and direction. Considering the above, caution should be exercised when using data from meteorological simulations in air quality modeling.

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“…The urban wind speed can be modelled using different approaches:Large-scale numerical weather prediction models (e.g. 22,23 ).Physical models (e.g. wind or water tunnels) (e.g.…”

Section: Introductionmentioning

confidence: 99%

Micro-scale modelling of the urban wind speed for air pollution applications

Ottosen

Ketzel

Skov

et al. 2019

Sci Rep

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Modelling wind speeds in urban areas have many applications e.g. in relation to assessment of wind energy, modelling air pollution, and building design and engineering. Models for extrapolating the urban wind speed exist, but little attention has been paid to the influence of the upwind terrain and the foundations for the extrapolation schemes. To analyse the influence of the upwind terrain and the foundations for the extrapolation of the urban wind speed, measurements from six urban and non-urban stations were explored, and a model for the urban wind speed with and without upwind influence was developed and validated. The agreement between the wind directions at the stations is found to be good, and the influence of atmospheric stability, horizontal temperature gradients, land-sea breeze, temperature, global radiation and Monin-Obukhov Length is found to be small, although future work should explore if this is valid for other urban areas. Moreover, the model is found to perform reasonably well, but the upwind influence is overestimated. Areas of model improvement are thus identified. The upwind terrain thus influences the modelling of the urban wind speed to a large extent, and the fundamental assumptions for the extrapolation scheme are fulfilled for this specific case.

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Evaluation of modeled wind field for dispersion modeling

Cited by 9 publications

References 15 publications

Satellite-Based Optimization and Planning of Urban Ventilation Corridors for a Healthy Microclimate Environment

Satellite-Based Optimization and Planning of Urban Ventilation Corridors for a Healthy Microclimate Environment

Accuracy Assessment of WRF Model in the Context of Air Quality Modeling in Complex Terrain

Micro-scale modelling of the urban wind speed for air pollution applications

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