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  1. Article: Integration of Aerobiological Information for Construction Engineering Based on LiDAR and BIM

    Quevedo-Martínez, Eva / Cortés-Pérez, Juan Pedro / Coloma, Juan Francisco / Fernández-Alvarado, José Francisco / García, Marta / Fernández-Rodríguez, Santiago

    Remote Sensing. 2022 Jan. 27, v. 14, no. 3

    2022  

    Abstract: In green urban areas, the allergenic factor is important when selecting trees to improve the quality of life of the population. An application of laser imaging detection and ranging (LiDAR) in building information modelling (BIM) is the capture of geo- ... ...

    Abstract In green urban areas, the allergenic factor is important when selecting trees to improve the quality of life of the population. An application of laser imaging detection and ranging (LiDAR) in building information modelling (BIM) is the capture of geo-referenced geometric information of the environment. This study presents the process of digitalisation of a green infrastructure inventory based on the geolocation and bioparameters of the cypress species. The aerobiological index (IUGZA) was estimated by developing green infrastructure BIM models at different detail levels and with a new BIM dimension (6D) for the urban environment. The novelty of the study is the modelling of urban information for evaluating the potential environmental impact related to the allergenicity of the urban green infrastructure using LiDAR through BIM. The measurements of cypress trees based on bioparameters and distances were applied to the IUGZA. This innovation for describing the current 3D environments and designing new scenarios in 6D may prevent future problems in urban areas during construction projects.
    Keywords allergenicity ; environmental impact ; geometry ; georeferencing ; green infrastructure ; inventories ; lidar ; quality of life ; urban areas
    Language English
    Dates of publication 2022-0127
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2513863-7
    ISSN 2072-4292
    ISSN 2072-4292
    DOI 10.3390/rs14030618
    Database NAL-Catalogue (AGRICOLA)

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  2. Article ; Online: Effects of climate change on Platanus flowering in Western Mediterranean cities: Current trends and future projections.

    Picornell, Antonio / Maya-Manzano, José M / Fernández-Ramos, Marta / Hidalgo-Barquero, Juan J / Pecero-Casimiro, Raúl / Ruiz-Mata, Rocío / de Gálvez-Montañez, Enrique / Del Mar Trigo, María / Recio, Marta / Fernández-Rodríguez, Santiago

    The Science of the total environment

    2023  Volume 906, Page(s) 167800

    Abstract: Ornamental trees can reduce some of the negative impacts of urbanization on citizens but some species, such as Platanus spp., produce pollen with high allergenic potential. This can exacerbate the symptomatology in allergic patients, being a public ... ...

    Abstract Ornamental trees can reduce some of the negative impacts of urbanization on citizens but some species, such as Platanus spp., produce pollen with high allergenic potential. This can exacerbate the symptomatology in allergic patients, being a public health problem. Therefore, it would be relevant to determine the environmental conditions regulating the flowering onset of the Platanus species. The aims of this study were to use aerobiological records for modelling the thermal requirements of Platanus flowering and to make future projections based on the effects that climate change could have on it under several possible future scenarios. This study was conducted in Badajoz and Malaga, two Western Mediterranean cities with different climate conditions. In the first step, several main pollen season definitions were applied to the aerobiological data and their onset dates were compared with in situ phenological observations. The main pollen season definition that best fitted the Platanus flowering onset was based on the 4th derivative of a logistic function. This definition was used as a proxy to model the thermal requirements of the Platanus flowering onset by applying the PhenoFlex statistical framework. The errors obtained by this model during the external validation were 3.2 days on average, so it was fed with future temperature estimations to determine possible future trends. According to the different models, the flowering onset of Platanus in Badajoz will show heterogeneous responses in the short and medium term due to different balances in the chilling-forcing compensation, while it will clearly delay in Malaga due to a significant delay in the chilling requirement fulfilment. This may increase the chances of cross-reactivity episodes with other pollen types in the future, increasing its impact on public health.
    MeSH term(s) Humans ; Cities ; Climate Change ; Allergens ; Pollen ; Reproduction ; Temperature ; Seasons
    Chemical Substances Allergens
    Language English
    Publishing date 2023-10-12
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2023.167800
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  3. Article ; Online: Current trends in economy, sustainable development, and energy: a circular economy view.

    Sanguino, Ramón / Barroso, Ascensión / Fernández-Rodríguez, Santiago / Sánchez-Hernández, María Isabel

    Environmental science and pollution research international

    2020  Volume 27, Issue 1, Page(s) 1–7

    Language English
    Publishing date 2020-01-07
    Publishing country Germany
    Document type Editorial
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-019-07074-x
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  4. Article ; Online: Understanding hourly patterns of Olea pollen concentrations as tool for the environmental impact assessment.

    Fernández-Rodríguez, Santiago / Maya-Manzano, José María / Colín, Alejandro Monroy / Pecero-Casimiro, Raúl / Buters, Jeroen / Oteros, José

    The Science of the total environment

    2020  Volume 736, Page(s) 139363

    Abstract: Bioinformatics clustering application for mining of a large set of olive pollen aerobiological data to describe the daily distribution of Olea pollen concentration. The study was performed with hourly pollen concentrations measured during 8 years (2011- ... ...

    Abstract Bioinformatics clustering application for mining of a large set of olive pollen aerobiological data to describe the daily distribution of Olea pollen concentration. The study was performed with hourly pollen concentrations measured during 8 years (2011-2018) in Extremadura (Spain). Olea pollen season by quartiles of the pollen integral in preseason (Q1: 0%-25%), in-season (Q2 and Q3: 25%-75%) and postseason (Q4: 75%-100%). Days with pollen concentrations above 100 grains/m
    MeSH term(s) Air Pollutants/analysis ; Allergens/analysis ; Environmental Monitoring ; Olea ; Pollen/chemistry ; Seasons ; Spain
    Chemical Substances Air Pollutants ; Allergens
    Language English
    Publishing date 2020-05-25
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2020.139363
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Producing Urban Aerobiological Risk Map for Cupressaceae Family in the SW Iberian Peninsula from LiDAR Technology

    Pecero-Casimiro, Raúl / Fernández-Rodríguez, Santiago / Tormo-Molina, Rafael / Silva-Palacios, Inmaculada / Gonzalo-Garijo, Ángela / Monroy-Colín, Alejandro / Coloma, Juan Francisco / Maya-Manzano, José María

    Remote Sensing. 2020 May 14, v. 12, no. 10

    2020  

    Abstract: Given the rise in the global population and the consequently high levels of pollution, urban green areas, such as those that include plants in the Cupressaceae family, are suitable to reduce the pollution levels, improving the air quality. However, some ... ...

    Abstract Given the rise in the global population and the consequently high levels of pollution, urban green areas, such as those that include plants in the Cupressaceae family, are suitable to reduce the pollution levels, improving the air quality. However, some species with ornamental value are also very allergenic species whose planting should be regulated and their pollen production reduced by suitable pruning. The Aerobiological Index to create Risk maps for Ornamental Trees (AIROT), in its previous version, already included parameters that other indexes did not consider, such as the width of the streets, the height of buildings and the geographical characteristics of cities. It can be considered by working with LiDAR (Light Detection and Ranging) data from five urban areas, which were used to create the DEM and DSM (digital elevation and surface models) needed to create one of the parameters. Pollen production is proposed as a parameter (α) based on characteristics and uses in the forms of hedges or trees that will be incorporated into the index. It will allow the comparison of different species for the evaluation of the pruning effect when aerobiological risks are established. The maps for some species of Cupressaceae (Cupressus arizonica, Cupressus macrocarpa, Cupressus sempervirens, Cupressocyparis leylandii and Platycladus orientalis) generated in a GIS (geographic information system) from the study of several functions of Kriging, have been used in cities to identify aerobiological risks in areas of tourist and gastronomic interest. Thus, allergy patients can make decisions about the places to visit depending on the levels of risk near those areas. The AIROT index provides valuable information for allergy patients, tourists, urban planning councillors and restaurant owners in order to structure the vegetation, as well as planning tourism according to the surrounding environmental risks and reducing the aerobiological risk of certain areas.
    Keywords Cupressocyparis leylandii ; Cupressus arizonica ; Cupressus macrocarpa ; Cupressus sempervirens ; Platycladus orientalis ; air quality ; allergenicity ; buildings ; cities ; decision making ; gastronomy ; geographic information systems ; green infrastructure ; hypersensitivity ; kriging ; lidar ; models ; ornamental trees ; ornamental value ; patients ; planting ; pollen productivity ; pollution ; pollution control ; pruning ; remote sensing ; restaurants ; risk ; risk assessment ; tourism ; tourists ; urban areas ; urban planning ; vegetation ; Iberian Peninsula
    Language English
    Dates of publication 2020-0514
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2513863-7
    ISSN 2072-4292
    ISSN 2072-4292
    DOI 10.3390/rs12101562
    Database NAL-Catalogue (AGRICOLA)

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  6. Article: HYSPLIT as an environmental impact assessment tool to study the data discrepancies between Olea europaea airborne pollen records and its phenology in SW Spain

    Monroy-Colín, Alejandro / Maya-Manzano, José María / Tormo-Molina, Rafael / Pecero-Casimiro, Raúl / Gonzalo-Garijo, María Ángeles / Fernández-Rodríguez, Santiago

    Urban forestry & urban greening. 2020 Aug., v. 53

    2020  

    Abstract: The olive tree (Olea europaea) is a native evergreen tree in the Mediterranean region, being one of the most important causes of seasonal respiratory allergies in Mediterranean countries. This work aims to relate flowering phenology, source tree ... ...

    Abstract The olive tree (Olea europaea) is a native evergreen tree in the Mediterranean region, being one of the most important causes of seasonal respiratory allergies in Mediterranean countries. This work aims to relate flowering phenology, source tree distribution, meteorology, and airborne pollen records for this species and to analyse the possible arrival of air masses from distant areas during days when differences between the phenological and pollen peaks. Aerobiological sampling was carried out in Badajoz (SW Spain) for 4 years (2016–2019) using a Hirst volumetric sampler. Trees were geolocalized in the city and surrounding areas. The pollination phenology of 15 specimens was studied for four years (2016–2019) during the months from April to June. The daily data for the whole period and the hourly data for the four years, including pollen records and meteorology, were analysed. The comparison between the pollen records and sources distribution was assessed. The main pollen season (thereafter, MPS) lasted an average of 34.5 (29–40) days. Phenological observations indicate that pollination occurred for 26.5 days and was mostly within the period of recorded airborne pollen; however, were days with airborne pollen recorded outside the pollination period. In 2017 the peak day was recorded when the flowering period has reached only the 10%, in other seasons this value reached the maximum peak of pollen concentration was found only a few days after the maximum of flowering. The hourly analysis showed that the maximum pollen concentrations were reached just after noon. The analysis of pollen sources and pollen records showed a close relationship with the predominant winds and tree distributions. The observed discrepancies between phenological and aerobiological data (in 2017 and 2018) were explained by the movement of air masses and long-distance transport.
    Keywords Olea europaea ; air ; environmental assessment ; flowering ; hypersensitivity ; indigenous species ; meteorology ; phenology ; pollen ; pollen season ; pollination ; trees ; wind ; Mediterranean region ; Spain
    Language English
    Dates of publication 2020-08
    Publishing place Elsevier GmbH
    Document type Article
    ISSN 1618-8667
    DOI 10.1016/j.ufug.2020.126715
    Database NAL-Catalogue (AGRICOLA)

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  7. Article: Environmental assessment of allergenic risk provoked by airborne grass pollen through forecast model in a Mediterranean region

    Fernández-Rodríguez, Santiago / Alejandro Monroy-Colin / Ángela Gonzalo-Garijo / Inmaculada Silva-Palacios / José María Maya-Manzano / Pablo Durán-Barroso / Rafael Tormo-Molina

    Journal of cleaner production. 2018 Mar. 01, v. 176

    2018  

    Abstract: Airborne grass pollen is the main cause of allergenic diseases in many parts of the world although its frequency differs regionally. This risk could be included in the context of urban air pollution and climate change as environmental hazard and factors ... ...

    Abstract Airborne grass pollen is the main cause of allergenic diseases in many parts of the world although its frequency differs regionally. This risk could be included in the context of urban air pollution and climate change as environmental hazard and factors provoking allergies. The main objective of this study is to construct a local statistical forecasting model that takes the peculiarities of the daily average grass airborne pollen concentrations from an urban area placed in a city in the SW of the Mediterranean region with data from 24 years. It takes into account the temporal distribution of meteorological parameters (rainfall, relative humidity, maximum, mean and minimum temperature) for assessing the trend in the main pollen season. The Shuffle Complex Evolution Metropolis Algorithm has been used as an optimization function the Root Mean Square Error to accomplish this objective. Aerobiological survey was carried out with grass pollen data in Badajoz (SW Spain) using a 7-day volumetric sampler. The grass main pollen season lasted on average 88 days (April 18th to July 14th). One equation composed of two terms describes the model proposed to forecast airborne pollen. This equation integrates the short-term influence of the grass pollen concentration of the previous 10 days, as well as the actual pollen values, which is weighted by fitting coefficients applied to the most representative meteorological variables. Results obtained sustain the advisability of the developed model. Despite of goodness adjustment of the results to the obtained model, further long term analysis are needed regarding to other Mediterranean cities for expanding the knowledge of the trends and comparing the forecast in the Mediterranean region.
    Keywords air pollution ; algorithms ; allergenicity ; cities ; climate change ; environmental assessment ; environmental hazards ; equations ; grasses ; hypersensitivity ; models ; pollen ; rain ; relative humidity ; risk ; surveys ; temperature ; urban areas ; Mediterranean region ; Spain
    Language English
    Dates of publication 2018-0301
    Size p. 1304-1315.
    Publishing place Elsevier Ltd
    Document type Article
    ISSN 0959-6526
    DOI 10.1016/j.jclepro.2017.11.226
    Database NAL-Catalogue (AGRICOLA)

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  8. Article: Relationship of NDVI and oak (Quercus) pollen including a predictive model in the SW Mediterranean region

    González-Naharro, Rocío / Quirós, Elia / Fernández-Rodríguez, Santiago / Silva-Palacios, Inmaculada / Maya-Manzano, José María / Tormo-Molina, Rafael / Pecero-Casimiro, Raúl / Monroy-Colin, Alejandro / Gonzalo-Garijo, Ángela

    Science of the total environment. 2019 Aug. 01, v. 676

    2019  

    Abstract: Techniques of remote sensing are being used to develop phenological studies. Our goal is to study the correlation among the Normalized Difference Vegetation Index (NDVI) related with oak trees included in three set data polygons (15, 25 and 50 km to ... ...

    Abstract Techniques of remote sensing are being used to develop phenological studies. Our goal is to study the correlation among the Normalized Difference Vegetation Index (NDVI) related with oak trees included in three set data polygons (15, 25 and 50 km to aerobiological sampling point as NDVI-15, 25 and 50), and oak (Quercus) daily average pollen counts from 1994 to 2013. The study was developed in the SW Mediterranean region with continuous pollen recording within the mean pollen season of each studied year. These pollen concentrations were compared with NDVI values in the locations containing the vegetation under a study based on two cartographic sources: the Extremadura Forest Map (MFEx) of Spain and the Fifth National Forest Inventory (IFN5) from Portugal. The importance of this work is to propose the relationship among data related in space and time by Spearman and Granger causality tests. 9 out of 20 studied years have shown significant results with the Granger causality test between NDVI and pollen concentration, and in 12 years, significant values were obtained by Spearman test. The distances of influence on the contribution of Quercus pollen to the sampler showed statistically significant results depending on the year. Moreover, a predictive model by using Artificial Neural Network (ANN) was applied with better results in NDVI25 than for NDVI15 or NDVI50. The addition of NDVI25 with the lag of 5 days and some weather parameters in the model was applied with a RMSE of 4.26 (Spearman coefficient r = 0.77) between observed and predicted values. Based on these results, NDVI seems to be a useful parameter to predict airborne pollen.
    Keywords Quercus ; forest inventory ; forest maps ; national forests ; neural networks ; normalized difference vegetation index ; phenology ; pollen ; remote sensing ; space and time ; vegetation ; weather ; Mediterranean region ; Portugal ; Spain
    Language English
    Dates of publication 2019-0801
    Size p. 407-419.
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2019.04.213
    Database NAL-Catalogue (AGRICOLA)

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  9. Article: Urban aerobiological risk mapping of ornamental trees using a new index based on LiDAR and Kriging: A case study of plane trees

    Pecero-Casimiro, Raúl / Cortés-Pérez, Juan Pedro / Fernández-Rodríguez, Santiago / Gonzalo-Garijo, Ángela / Maya-Manzano, José María / Monroy-Colín, Alejandro / Silva-Palacios, Inmaculada / Tormo-Molina, Rafael

    Science of the total environment. 2019 Nov. 25, v. 693

    2019  

    Abstract: Ornamental trees bring benefits for human health, including reducing urban pollution. However, some species, such as plane trees (Platanus sp.), produce allergenic pollen. Consequently, urban maps are a valuable tool for allergic patients and allergists, ...

    Abstract Ornamental trees bring benefits for human health, including reducing urban pollution. However, some species, such as plane trees (Platanus sp.), produce allergenic pollen. Consequently, urban maps are a valuable tool for allergic patients and allergists, but they often fail to include variables that contribute to the “building downwash effect”, such as the width and shape of streets and the height of buildings. Other factors that directly influence pollen dispersion (slopes and other geographical features) also have not traditionally been discussed. The LiDAR (Laser Imaging Detection and Ranging) technique enables one to consider these variables with high accuracy. This work proposes an Aerobiological Index to create Risk maps for Ornamental Trees (AIROT) and the establishment of potential areas of risk of exposure to Platanus pollen.LiDAR data from five urban areas were used to create the DEM and DSM (Digital Elevation and Surface Models) needed to perform further analysis. GIS software was used to map the points for each city and to create risk maps by Kriging, with stable (3 cases) and exponential function (2 cases) as the optimal models. In short, the AIROT index was a useful tool to map possible biological risks in cities. Since AIROT allows each city to consider its own characteristics, including geographical specifications, by using remote sensing and geostatistics techniques, the establishment of risk maps and healthy itineraries is valuable for allergic patients, allergists, architects and urban planners. This new aerobiological index provides a new decision-making tool related to urban planning and allergenicity assessment.
    Keywords allergenicity ; buildings ; case studies ; cities ; computer software ; decision support systems ; geographic information systems ; geostatistics ; human health ; kriging ; lidar ; models ; ornamental trees ; patients ; Platanus ; pollen ; pollution ; pollution control ; remote sensing ; risk ; risk assessment ; urban areas ; urban planning
    Language English
    Dates of publication 2019-1125
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2019.07.382
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  10. Article ; Online: Oak pollen seasonality and severity across Europe and modelling the season start using a generalized phenological model.

    Grundström, Maria / Adams-Groom, Beverley / Pashley, Catherine H / Dahl, Åslög / Rasmussen, Karen / de Weger, Letty A / Thibaudon, Michel / Fernández-Rodríguez, Santiago / Silva-Palacios, Inmaculada / Skjøth, Carsten A

    The Science of the total environment

    2019  Volume 663, Page(s) 527–536

    Abstract: Oak pollen seasons are relatively unexplored in large parts of Europe despite producing allergens and being a common tree in both continental and northern parts. Many studies are concentrated only on the Iberian Peninsula. In this study, the seasonal ... ...

    Abstract Oak pollen seasons are relatively unexplored in large parts of Europe despite producing allergens and being a common tree in both continental and northern parts. Many studies are concentrated only on the Iberian Peninsula. In this study, the seasonal pattern of oak pollen in Europe was analysed using 10 observation sites, ranging from Spain to Sweden. The magnitude of peaks and annual pollen integral together with season-length were studied and substantially higher pollen levels and longer seasons were found in Spain. Two northern sites in Denmark and Sweden showed high oak pollen peaks together with two sites in Spain and United Kingdom. The study also tested four common definitions of season start and applied a generalized phenological model for computing the start of the pollen season. The most accurate definition for a European-wide description of the observed oak pollen start was when the cumulative daily average pollen count reached 50 grains per cubic meter. For the modelling of the start a thermal time method based on Growing Degree Day (GDD) was implemented, utilizing daily temperatures and a generalized approach to identify model parameters applicable to all included sites. GDD values varied between sites and generally followed a decreasing gradient from south to north, with some exceptions. Modelled onsets with base temperatures below 7 °C matched well with observed onsets and 76% of the predictions differed ≤4 days compared to observed onsets when using a base temperature of 2 °C. Base temperatures above 7 °C frequently predicted onsets differing >1 week from the observed. This general approach can be extended to a larger area where pollen observations are non-existent. The presented work will increase the understanding of oak pollen variation in Europe and provide knowledge of its phenology, which is a critical aspect both for modelling purposes on large-scale and assessing the human exposure to oak allergens.
    MeSH term(s) Allergens/analysis ; Environmental Monitoring/methods ; Europe ; Models, Biological ; Pollen/physiology ; Quercus/physiology ; Seasons
    Chemical Substances Allergens
    Language English
    Publishing date 2019-01-18
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2019.01.212
    Database MEDical Literature Analysis and Retrieval System OnLINE

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