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Concentrations and Surface Exchange of Air Pollutants at Harvard Forest EMS Tower since 1990

2022· dataset· en· W6958266837 sur OpenAlex

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Notice bibliographique

RevueEnvironmental Data Initiative · 2022
Typedataset
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNOxReactive nitrogenDeposition (geology)NitrogenNitrogen oxideSaturation (graph theory)NitratePollutantAir pollution

Résumé

récupéré en direct d'OpenAlex

In North America, anthropogenic activities such as fossil fuel combustion and high-intensity agriculture have increased the inputs of nitrogen oxides in the atmosphere far above natural, biogenic inputs. The effect of this excess N depends on how it is distributed through the environment. If fixed N is deposited as nitrate in forests, it may act as a "fertilizer", stimulating growth and thus enhancing carbon sequestration. But when accumulated deposition exceeds the nutritional needs of the ecosystem, nitrogen saturation may result. Soil fertility declines due to leaching of cations and thus, carbon uptake diminishes. The balance between fertilization and saturation depends on the spatial and temporal extent of nitrogen deposition. Measurements of nitrogen oxide concentrations and fluxes made at Harvard Forest are intended to quantify the deposition of nitrogen oxides and to examine the rates for oxidation and deposition of reactive nitrogen that are critical in controlling how far the influence of nitrogen oxide emission sources extends. Measurements made to date indicate that dry deposition of NOy to the Harvard Forest canopy is controlled by advection from source regions, vertical mixing, and chemical reaction. The input is about equally divided between wet and dry deposition depending on the amount of precipitation. Southwesterly winds bring air from the major urban areas along the mid-Atlantic coast, whereas northwesterly wind bring air from less populated regions of northern New England and Canada. As a result, southwesterly winds transport higher concentrations and fluxes of NOx and NOy than northwesterly winds. In the summer, aerodynamically rough forests intercept NOx and emit reactive hydrocarbons that accelerate the oxidation of NOx to rapidly depositing species. As a result, much of the NOx emitted by North America is retained by the region in the summer. This deposition leads to a summertime decrease in reactive nitrogen concentrations and fluxes relative to spring levels. In addition to their role as a plant nutrient, nitrogen oxides are a major precursor for photochemical production of tropospheric ozone, a pollutant and greenhouse gas. Measurements at Harvard Forest are used to examine the interannual variability and trends in ozone production and background ozone concentrations. The family of nitrogen oxide species is partitioned between active radicals (NOx, NO3), reservoir species (e.g., peroxyacetylnitrate PAN) which can convert back into NO2 and terminal species (HNO3, organic nitrates), which no longer contribute to photochemistry and are efficiently deposited. At low wintertime temperatures, PAN is stable and can be transported to the upper troposphere and remote regions. In the summer, however, the lifetime of PAN is short (few hours) so concentrations may remain low despite abundant photochemical radicals that promote PAN formation. Thus, temperature directly affects the partitioning of nitrogen oxides, which will in turn affect deposition. Further measurements resolving key species are needed to distinguish the contributions due to direct NO2 deposition, HNO3 deposition and organic nitrate deposition. A dual Tunable Diode Laser Absorption Spectrometer (TDLAS) for eddy covariance flux measurements of NO2 and concentrations of HNO3 and NO2 has been operational since 1999 and a new CG/ECD for continuous measurement of PAN was installed in the spring of 2000. The combination of HNO3 and NO2 concentrations with existing measurements of O3, NOy, NO, PAN, hydrocarbons, tracers of anthropogenic emissions, and meteorological parameters at the site, provide important new data on the speciation and removal mechanisms for reactive nitrogen in the troposphere and subsequently the photochemistry of ozone in both urban and rural air masses. Simultaneous NOy, NOx, PAN and CO data will allow us to distinguish PAN deposition (loss of NOy) from PAN decomposition (leads to NOx increase, no change in NOy). Because seasonal cycles of PAN loss and formation remain a major uncertainty in understanding atmospheric transport and N deposition, we plan to continue measurements of NOy speciation over several seasonal cycles and climactic variation. The addition of PAN and HNO3 measurements provides a comprehensive analysis of the reactive nitrogen at this site, allowing us to examine the diel and seasonal trends in concentrations to determine their production, deposition, and loss rates. CO2 concentration profiles are measured by an infra-red gas analyzer (Licor 6251). Inlet sample flow is maintained at a constant pressure by a pressure control valve upstream of a bypass pump that generates high flow volume to minimize residence time in the inlet line. Sample air for the CO2 analyzer is drawn off and passed through diffusion dryer to remove water vapor down to a low and constant value before passing through the analyzer. Pressure control valve on the instrument exhaust maintains constant pressure in the detector cell. The reference cell of the analyzer is purged with a small flow of calibration gas having a concentration comparable to average ambient concentration. At least three times a day the analyzer is calibrated automatically by replacing sample air with the reference gas to determine the zero offset and with a set of three calibration standards that span the expected range of ambient concentration. A second-order polynomial is fit to the instrument response to standards and used to compute mixing ratio in the samples.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Jeu de données · Signal consensuel: Jeu de données
Score de désaccord entre enseignants0,094
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,001
Science ouverte0,0020,007
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0960,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,045
Tête enseignante GPT0,268
Écart entre enseignants0,223 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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