H2020Индивидуална стипендия2016–2019

IPLATFORM · Implementation of a dynamical Pollen Module and the transformations of the pollen including feedbacks in a numerical Weather Forecast Model

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2016-06-01 → 2019-03-24
Финансиране от ЕС: 195 455 €
Участници: 1
Схема: MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Разпространението и концентрацията на дъбовия полен се проучват чрез нови модели и генетично секвениране. Това помага за по-точни прогнози за хората с алергии, като отчита конкретните видове дървета и влиянието на атмосферата.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Implementation of a dynamical Pollen Module and the transformations of the pollen including feedbacks in a numerical Weather Forecast Model

Oak pollen seasons are relatvely unexplored in large parts of Europe despite producing allergens and being a common tree in both continental and northern Europe. Analysing pollen data on species level and using DNA sequencing information is a large step forward in the scientific field of aerobiology. Currently pollen data can only be provided on genus level and is relying on labour intensive detection methods using microscopy. There is a need for methods which can provide pollen information faster and cheaper to complement current standard detection methods. High spatial and temporal resolution of pollen concentration can be extremely important to a large group of people who suffer from airway disease and pollen allergy. Furthermore, simulating pollen in advanced transport models can provide more sophisticated forecasts in the future where atmospheric feedback mechanisms can be taken into account which can show days where pollen load might be intensified due to the state of the atmosphere. Pollen load simulations done on species level adds further information to the allergy sufferer who may be allergic to a specific species. The overall objective of the project was to develop an advanced tool for modelling the feedback, dispersion and concentration of air pollutants and bio-aerosols by focusing on oak tree pollen. The focus is model development with WRF-Chem for pollen dispersal and sequencing at the species level.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

The main goal of the proposed project is to provide an advanced mathematical model (WRF-BioChem) for modelling the emission, dispersion and concentration of bioaerosols at the regional scale. The model will with this development be able to handle feedback mechanisms between biology, chemistry and weather. The model is developed to go beyond state-of-the-art by developing the mathematical model for oak pollen and by doing it at the species level. The project supported by a three companion projects on grass pollen, fungal spores (Alternaria) and pathogens – all at species level. These projects deliver the needed resources for detection. As such the mathematical model will be a validated model that will be generally applicable for bioaerosols including pollen, pathogens and fungal spores. Detection of pollen will be carried out by supporting staff and projects using both traditional methods based on optical detection at the genus level and next generation sequencing at the species level. This proposal requires multidisciplinary approach to the problem as pollen appearance and behaviour in the air is dependent on many factors, including meteorological conditions, chemical composition of the atmosphere or surface properties as well as feedbacks between these elements. WRF-Chem currently used in air quality modelling will therefore be adapted for studying transport of bioaerosols in a way consistent with the transport and transformation of other air pollutants. Until now, no atmospheric model is used for the simulation of pollen at the species level in either Europe or in USA. Also, it will be the first time simulations of oak pollen will be possible in Europe or in USA. Also, it will be the first time simulations of oak pollen will be possible in Europe. Finally, it will be the first mathematical model that allows for a full feedback between meteorology, chemistry, bioaerosols and the terrestrial biosphere. The model developments will be implemented in forecasting.

Оригинален текст от CORDIS (на английски).

Участници

UNIVERSITY OF WORCESTER · WorcesterКоординаторОбединеното кралство