| Type: | Package |
| Title: | Air Pollution Removal by Dry Deposition on Trees |
| Version: | 0.1.3 |
| Author: | Silvestre Garcia de Jalon |
| Maintainer: | Silvestre Garcia de Jalon <s.garciadejalon@gmail.com> |
| Description: | The model estimates air pollution removal by dry deposition on trees. It also estimates or uses hourly values for aerodynamic resistance, boundary layer resistance, canopy resistance, stomatal resistance, cuticular resistance, mesophyll resistance, soil resistance, friction velocity and deposition velocity. It also allows plotting graphical results for a specific time period. The pollutants are nitrogen dioxide, ozone, sulphur dioxide, carbon monoxide and particulate matter. Baldocchi D (1994) <doi:10.1093/treephys/14.7-8-9.1069>. Farquhar GD, von Caemmerer S, Berry JA (1980) Planta 149: 78-90. Hirabayashi S, Kroll CN, Nowak DJ (2015) i-Tree Eco Dry Deposition Model. Nowak DJ, Crane DE, Stevens JC (2006) <doi:10.1016/j.ufug.2006.01.007>. US EPA (1999) PCRAMMET User's Guide. EPA-454/B-96-001. Weiss A, Norman JM (1985) Agricultural and Forest Meteorology 34: 205—213. |
| License: | GPL-2 |
| Depends: | graphics, grDevices, stats, utils, lubridate, ggplot2 |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 6.0.1 |
| NeedsCompilation: | no |
| Packaged: | 2018-12-02 17:21:30 UTC; silvestre.garcia |
| Repository: | CRAN |
| Date/Publication: | 2018-12-02 17:50:03 UTC |
TreeDep Package
Description
The model estimates air pollution removal by dry deposition on trees. It also estimates aerodynamic resistance, boundary layer resistance, canopy resistance, stomatal resistance, cuticular resistance, mesophyll resistance, soil resistance, friction velocity and deposition velocity. It also allows plotting graphical results for a specific time period. The pollutants are nitrogen dioxide, ozone, sulphur dioxide, carbon monoxide and particulate matter.
Author(s)
Silvestre Garcia de Jalon s.garciadejalon@gmail.com
Weather and environmental hourly data in Bizkaia province, Spain
Description
Weather and air pollution concentration hourly data in Bizkaia province (Spain)
Usage
Bizkaia_data
Format
A data frame with hourly data
Conc_CO - Extracts data of hourly concentration of CO
Description
Conc_CO - Extracts data of hourly concentration of CO
Usage
Conc_CO(x)
Arguments
x |
A data frame containing hourly data of CO concentration and other variables (Dates (e.g. 01/01/2016 00:00:00), Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
Value
Hourly data of concentration of CO (micrograms m-3)
Examples
data(Bizkaia_data)
Conc_CO(x = Bizkaia_data)
Conc_NO2 - Extracts data of hourly concentration of NO2
Description
Conc_NO2 - Extracts data of hourly concentration of NO2
Usage
Conc_NO2(x)
Arguments
x |
A data frame containing hourly data of NO2 concentration and other variables (Dates (e.g. 01/01/2016 00:00:00), Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
Value
Hourly data of concentration of NO2 (micrograms m-3)
Examples
data(Bizkaia_data)
Conc_NO2(x = Bizkaia_data)
Conc_O3 - Extracts data of hourly concentration of O3
Description
Conc_O3 - Extracts data of hourly concentration of O3
Usage
Conc_O3(x)
Arguments
x |
A data frame containing hourly data of O3 concentration and other variables (Dates (e.g. 01/01/2016 00:00:00), Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
Value
Hourly data of concentration of O3 (micrograms m-3)
Examples
data(Bizkaia_data)
Conc_O3(x = Bizkaia_data)
Conc_PM10 - Extracts data of hourly concentration of PM10
Description
Conc_PM10 - Extracts data of hourly concentration of PM10
Usage
Conc_PM10(x)
Arguments
x |
A data frame containing hourly data of PM10 concentration and other variables (Dates (e.g. 01/01/2016 00:00:00), Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
Value
Hourly data of concentration of PM10 (micrograms m-3)
Examples
data(Bizkaia_data)
Conc_PM10(x = Bizkaia_data)
Conc_SO2 - Extracts data of hourly concentration of SO2
Description
Conc_SO2 - Extracts data of hourly concentration of SO2
Usage
Conc_SO2(x)
Arguments
x |
A data frame containing hourly data of SO2 concentration and other variables (Dates (e.g. 01/01/2016 00:00:00), Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
Value
Hourly data of concentration of SO2 (micrograms m-3)
Examples
data(Bizkaia_data)
Conc_SO2(x = Bizkaia_data)
Daylight - Generates hourly daylight data ("Night" and "Daylight") in a specific year
Description
Daylight - Generates hourly daylight data ("Night" and "Daylight") in a specific year
Usage
Daylight(shortest_day_sunrise, shortest_day_sunset, longest_day_sunset0, Year)
Arguments
shortest_day_sunrise |
Sunrise time in the shortest day in the Northern Hemisphere (December 21) using decimals for minutes (e.g. 8.4) |
shortest_day_sunset |
Sunset time in the shortest day in the Northern Hemisphere (December 21) using decimals for minutes (e.g. 17.8) |
longest_day_sunset0 |
Sunset time in the longest day in the Northern Hemisphere (June 21) using decimals for minutes (e.g. 21.9) |
Year |
Year to generate hourly daylight data (e.g. 2015) |
Value
A dataframe with hourly daylight values is generated
Examples
Daylight (shortest_day_sunrise = 8.4,
shortest_day_sunset = 17.8,
longest_day_sunset0 = 21.9,
Year = 2016)
Dep_CO - Calculates hourly deposition of CO on vegetation
Description
Dep_CO - Calculates hourly deposition of CO on vegetation
Usage
Dep_CO(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of CO concentration and other variables (Dates (e.g. 01/01/2016 00:00:00), Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
z_0 |
Roughness length value (m) |
Value
Hourly data of deposition of CO on vegetation (g m-2 h-1)
Examples
data(Bizkaia_data)
Dep_CO(x = Bizkaia_data, z_0 = 1)
Dep_CO_a - Calculates the annual value of deposition of CO on vegetation
Description
Dep_CO_a - Calculates the annual value of deposition of CO on vegetation
Usage
Dep_CO_a(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of CO concentration and other variables (Dates (e.g. 01/01/2016 00:00:00), Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
z_0 |
Roughness length value (m) |
Value
Annual value of deposition of CO on vegetation (g m-2 yr-1)
Examples
data(Bizkaia_data)
Dep_CO_a(x = Bizkaia_data, z_0 = 1)
Dep_NO2 - Calculates hourly deposition of NO2 on vegetation
Description
Dep_NO2 - Calculates hourly deposition of NO2 on vegetation
Usage
Dep_NO2(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of NO2 concentration and other variables (Dates (e.g. 01/01/2016 00:00:00), Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
z_0 |
Roughness length value (m) |
Value
Hourly data of deposition of NO2 on vegetation (g m-2 h-1)
Examples
data(Bizkaia_data)
Dep_NO2(x = Bizkaia_data, z_0 = 1)
Dep_NO2_a - Calculates the annual value of deposition of NO2 on vegetation
Description
Dep_NO2_a - Calculates the annual value of deposition of NO2 on vegetation
Usage
Dep_NO2_a(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of NO2 concentration and other variables (Dates (e.g. 01/01/2016 00:00:00), Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
z_0 |
Roughness length value (m) |
Value
Annual value of deposition of NO2 on vegetation (g m-2 yr-1)
Examples
data(Bizkaia_data)
Dep_NO2_a(x = Bizkaia_data, z_0 = 1)
Dep_O3 - Calculates hourly deposition of O3 on vegetation
Description
Dep_O3 - Calculates hourly deposition of O3 on vegetation
Usage
Dep_O3(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of O3 concentration and other variables (Dates (e.g. 01/01/2016 00:00:00), Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
z_0 |
Roughness length value (m) |
Value
Hourly data of deposition of O3 on vegetation (g m-2 h-1)
Examples
data(Bizkaia_data)
Dep_O3(x = Bizkaia_data, z_0 = 1)
Dep_O3_a - Calculates the annual value of deposition of O3 on vegetation
Description
Dep_O3_a - Calculates the annual value of deposition of O3 on vegetation
Usage
Dep_O3_a(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of O3 concentration and other variables (Dates (e.g. 01/01/2016 00:00:00), Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
z_0 |
Roughness length value (m) |
Value
Annual value of deposition of O3 on vegetation (g m-2 yr-1)
Examples
data(Bizkaia_data)
Dep_O3_a(x = Bizkaia_data, z_0 = 1)
Dep_PM10 - Calculates hourly deposition of PM10 on vegetation
Description
Dep_PM10 - Calculates hourly deposition of PM10 on vegetation
Usage
Dep_PM10(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of PM10 concentration and other variables (Dates (e.g. 01/01/2016 00:00:00), Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
z_0 |
Roughness length value (m) |
Value
Hourly data of deposition of PM10 on vegetation (g m-2 h-1)
Examples
data(Bizkaia_data)
Dep_PM10(x = Bizkaia_data, z_0 = 1)
Dep_PM10_a - Calculates the annual value of deposition of PM10 on vegetation
Description
Dep_PM10_a - Calculates the annual value of deposition of PM10 on vegetation
Usage
Dep_PM10_a(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of PM10 concentration and other variables (Dates (e.g. 01/01/2016 00:00:00), Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
z_0 |
Roughness length value (m) |
Value
Annual value of deposition of PM10 on vegetation (g m-2 yr-1)
Examples
data(Bizkaia_data)
Dep_PM10_a(x = Bizkaia_data, z_0 = 1)
Dep_SO2 - Calculates hourly deposition of SO2 on vegetation
Description
Dep_SO2 - Calculates hourly deposition of SO2 on vegetation
Usage
Dep_SO2(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of SO2 concentration and other variables (Dates (e.g. 01/01/2016 00:00:00), Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
z_0 |
Roughness length value (m) |
Value
Hourly data of deposition of SO2 on vegetation (g m-2 h-1)
Examples
data(Bizkaia_data)
Dep_SO2(x = Bizkaia_data, z_0 = 1)
Dep_SO2_a - Calculates the annual value of deposition of SO2 on vegetation
Description
Dep_SO2_a - Calculates the annual value of deposition of SO2 on vegetation
Usage
Dep_SO2_a(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of SO2 concentration and other variables (Dates (e.g. 01/01/2016 00:00:00), Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
z_0 |
Roughness length value (m) |
Value
Annual value of deposition of SO2 on vegetation (g m-2 yr-1)
Examples
data(Bizkaia_data)
Dep_SO2_a(x = Bizkaia_data, z_0 = 1)
Dep_vel_CO - Calculates hourly deposition velocity for CO
Description
Dep_vel_CO - Calculates hourly deposition velocity for CO
Usage
Dep_vel_CO(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
z_0 |
Roughness length value (m) |
Value
Hourly data of deposition velocity for CO (m s-1)
Examples
data(Bizkaia_data)
Dep_vel_CO(x = Bizkaia_data, z_0 = 1)
Dep_vel_NO2 - Calculates hourly deposition velocity for NO2
Description
Dep_vel_NO2 - Calculates hourly deposition velocity for NO2
Usage
Dep_vel_NO2(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
z_0 |
Roughness length value (m) |
Value
Hourly data of deposition velocity for NO2 (m s-1)
Examples
data(Bizkaia_data)
Dep_vel_NO2(x = Bizkaia_data, z_0 = 1)
Dep_vel_O3 - Calculates hourly deposition velocity for O3
Description
Dep_vel_O3 - Calculates hourly deposition velocity for O3
Usage
Dep_vel_O3(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
z_0 |
Roughness length value (m) |
Value
Hourly data of deposition velocity for O3 (m s-1)
Examples
data(Bizkaia_data)
Dep_vel_O3(x = Bizkaia_data, z_0 = 1)
Dep_vel_PM10 - Calculates hourly deposition velocity for PM10
Description
Dep_vel_PM10 - Calculates hourly deposition velocity for PM10
Usage
Dep_vel_PM10(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
z_0 |
Roughness length value (m) |
Value
Hourly data of deposition velocity for PM10 (m s-1)
Examples
data(Bizkaia_data)
Dep_vel_PM10(x = Bizkaia_data, z_0 = 1)
Dep_vel_SO2 - Calculates hourly deposition velocity for SO2
Description
Dep_vel_SO2 - Calculates hourly deposition velocity for SO2
Usage
Dep_vel_SO2(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
z_0 |
Roughness length value (m) |
Value
Hourly data of deposition velocity for SO2 (m s-1)
Examples
data(Bizkaia_data)
Dep_vel_SO2(x = Bizkaia_data, z_0 = 1)
Fric_vel - Calculates friction velocity on an hourly basis
Description
Fric_vel - Calculates friction velocity on an hourly basis
Usage
Fric_vel(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
z_0 |
Roughness length value (m) |
Value
Hourly data of friction velocity (m s-1)
Examples
data(Bizkaia_data)
Fric_vel(x = Bizkaia_data, z_0 = 1)
LAI_deciduous - Generates hourly data of leaf and bark area index for deciduous trees in a specific year
Description
LAI_deciduous - Generates hourly data of leaf and bark area index for deciduous trees in a specific year
Usage
LAI_deciduous(Year, BAI_value, LAI_value, day_decay_ini, month_decay_ini,
days_duration_decay, day_emergence_ini, month_emergence_ini,
days_duration_emergence)
Arguments
Year |
Year to generate leaf and bark area index (e.g. 2015) |
BAI_value |
Bark area index value (e.g. 0.1) |
LAI_value |
Maximum value of leaf area index value (e.g. 1.5) |
day_decay_ini |
Day of the month leaves start to decay (between 1 and 31; e.g., 15) |
month_decay_ini |
Month of the year leaves start to decay (between 1 and 12; e.g., 10) |
days_duration_decay |
The duration of leaf decay in number of days (e.g., 50) |
day_emergence_ini |
Day of the month leaves start to emerge (between 1 and 31; e.g., 1) |
month_emergence_ini |
Month of the year leaves start to emerge (between 1 and 12; e.g., 4) |
days_duration_emergence |
The duration of leaf emergence in number of days (e.g., 20) |
Value
A dataframe with LAI and BAI hourly values is generated
Examples
LAI_deciduous(Year = 2016,
BAI_value = 0.1,
LAI_value = 1.5,
day_decay_ini = 15,
month_decay_ini = 10,
days_duration_decay = 100,
day_emergence_ini = 1,
month_emergence_ini = 4,
days_duration_emergence = 20)
LAI_evergreen - Generates hourly data of leaf and bark area index for evergreen trees in a specific year
Description
LAI_evergreen - Generates hourly data of leaf and bark area index for evergreen trees in a specific year
Usage
LAI_evergreen(Year, LAI_value, BAI_value)
Arguments
Year |
Year to generate leaf and bark area index (e.g. 2015) |
LAI_value |
Mean value of leaf area index (e.g. 1.3) |
BAI_value |
Bark area index value (e.g. 0.1) |
Value
A dataframe with LAI and BAI hourly values is generated
Examples
LAI_evergreen(Year = 2016,
BAI_value = 0.1,
LAI_value = 1.3)
Res_Tot_CO - Calculates hourly total resistance for CO
Description
Res_Tot_CO - Calculates hourly total resistance for CO
Usage
Res_Tot_CO(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
z_0 |
Roughness length value (m) |
Value
Hourly data of total resistance for CO (s m-1)
Examples
data(Bizkaia_data)
Res_Tot_CO(x = Bizkaia_data, z_0 = 1)
Res_Tot_NO2 - Calculates hourly total resistance for NO2
Description
Res_Tot_NO2 - Calculates hourly total resistance for NO2
Usage
Res_Tot_NO2(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
z_0 |
Roughness length value (m) |
Value
Hourly data of total resistance for NO2 (s m-1)
Examples
data(Bizkaia_data)
Res_Tot_NO2(x = Bizkaia_data, z_0 = 1)
Res_Tot_O3 - Calculates hourly total resistance for O3
Description
Res_Tot_O3 - Calculates hourly total resistance for O3
Usage
Res_Tot_O3(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
z_0 |
Roughness length value (m) |
Value
Hourly data of total resistance for O3 (s m-1)
Examples
data(Bizkaia_data)
Res_Tot_O3(x = Bizkaia_data, z_0 = 1)
Res_Tot_SO2 - Calculates hourly total resistance for SO2
Description
Res_Tot_SO2 - Calculates hourly total resistance for SO2
Usage
Res_Tot_SO2(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
z_0 |
Roughness length value (m) |
Value
Hourly data of total resistance for SO2 (s m-1)
Examples
data(Bizkaia_data)
Res_Tot_SO2(x = Bizkaia_data, z_0 = 1)
Res_aero - Calculates aerodynamic resistance on an hourly basis
Description
Res_aero - Calculates aerodynamic resistance on an hourly basis
Usage
Res_aero(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
z_0 |
Roughness length value (m) |
Value
Hourly data of aerodynamic resistance (s m-1)
Examples
data(Bizkaia_data)
Res_aero(x = Bizkaia_data, z_0 = 1)
Res_boun_CO - Calculates hourly boundary layer resistance for CO
Description
Res_boun_CO - Calculates hourly boundary layer resistance for CO
Usage
Res_boun_CO(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
z_0 |
Roughness length value (m) |
Value
Hourly data of boundary layer resistance for CO (s m-1)
Examples
data(Bizkaia_data)
Res_boun_CO(x = Bizkaia_data, z_0 = 1)
Res_boun_CO2 - Calculates hourly boundary layer resistance for CO2
Description
Res_boun_CO2 - Calculates hourly boundary layer resistance for CO2
Usage
Res_boun_CO2(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
z_0 |
Roughness length value (m) |
Value
Hourly data of boundary layer resistance for CO2 (s m-1)
Examples
data(Bizkaia_data)
Res_boun_CO2(x = Bizkaia_data, z_0 = 1)
Res_boun_NO2 - Calculates hourly boundary layer resistance for NO2
Description
Res_boun_NO2 - Calculates hourly boundary layer resistance for NO2
Usage
Res_boun_NO2(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
z_0 |
Roughness length value (m) |
Value
Hourly data of boundary layer resistance for NO2 (s m-1)
Examples
data(Bizkaia_data)
Res_boun_NO2(x = Bizkaia_data, z_0 = 1)
Res_boun_O3 - Calculates hourly boundary layer resistance for O3
Description
Res_boun_O3 - Calculates hourly boundary layer resistance for O3
Usage
Res_boun_O3(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
z_0 |
Roughness length value (m) |
Value
Hourly data of boundary layer resistance for O3 (s m-1)
Examples
data(Bizkaia_data)
Res_boun_O3(x = Bizkaia_data, z_0 = 1)
Res_boun_SO2 - Calculates hourly boundary layer resistance for SO2
Description
Res_boun_SO2 - Calculates hourly boundary layer resistance for SO2
Usage
Res_boun_SO2(x, z_0 = 1)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
z_0 |
Roughness length value (m) |
Value
Hourly data of boundary layer resistance for SO2 (s m-1)
Examples
data(Bizkaia_data)
Res_boun_SO2(x = Bizkaia_data, z_0 = 1)
Res_cano_CO - Calculates hourly canopy resistance for CO
Description
Res_cano_CO - Calculates hourly canopy resistance for CO
Usage
Res_cano_CO(x)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
Value
Hourly data of canopy resistance for CO (s m-1)
Examples
data(Bizkaia_data)
Res_cano_CO(x = Bizkaia_data)
Res_cano_NO2 - Calculates hourly canopy resistance for NO2
Description
Res_cano_NO2 - Calculates hourly canopy resistance for NO2
Usage
Res_cano_NO2(x)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
Value
Hourly data of canopy resistance for NO2 (s m-1)
Examples
data(Bizkaia_data)
Res_cano_NO2(x = Bizkaia_data)
Res_cano_O3 - Calculates hourly canopy resistance for O3
Description
Res_cano_O3 - Calculates hourly canopy resistance for O3
Usage
Res_cano_O3(x)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
Value
Hourly data of canopy resistance for O3 (s m-1)
Examples
data(Bizkaia_data)
Res_cano_O3(x = Bizkaia_data)
Res_cano_SO2 - Calculates hourly canopy resistance for SO2
Description
Res_cano_SO2 - Calculates hourly canopy resistance for SO2
Usage
Res_cano_SO2(x)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
Value
Hourly data of canopy resistance for SO2 (s m-1)
Examples
data(Bizkaia_data)
Res_cano_SO2(x = Bizkaia_data)
Res_cuti_NO2 - Calculates hourly cuticular resistance for NO2
Description
Res_cuti_NO2 - Calculates hourly cuticular resistance for NO2
Usage
Res_cuti_NO2(x)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
Value
Hourly data of cuticular resistance for NO2 (s m-1)
Examples
data(Bizkaia_data)
Res_cuti_NO2(x = Bizkaia_data)
Res_cuti_O3 - Calculates hourly cuticular resistance for O3
Description
Res_cuti_O3 - Calculates hourly cuticular resistance for O3
Usage
Res_cuti_O3(x)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
Value
Hourly data of cuticular resistance for O3 (s m-1)
Examples
data(Bizkaia_data)
Res_cuti_O3(x = Bizkaia_data)
Res_cuti_SO2 - Calculates hourly cuticular resistance for SO2
Description
Res_cuti_SO2 - Calculates hourly cuticular resistance for SO2
Usage
Res_cuti_SO2(x)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
Value
Hourly data of cuticular resistance for SO2 (s m-1)
Examples
data(Bizkaia_data)
Res_cuti_SO2(x = Bizkaia_data)
Res_meso_NO2 - Calculates hourly mesophyll resistance for NO2
Description
Res_meso_NO2 - Calculates hourly mesophyll resistance for NO2
Usage
Res_meso_NO2(x)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
Value
Hourly data of mesophyll resistance for NO2 (s m-1)
Examples
data(Bizkaia_data)
Res_meso_NO2(x = Bizkaia_data)
Res_meso_O3 - Calculates hourly mesophyll resistance for O3
Description
Res_meso_O3 - Calculates hourly mesophyll resistance for O3
Usage
Res_meso_O3(x)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
Value
Hourly data of mesophyll resistance for O3 (s m-1)
Examples
data(Bizkaia_data)
Res_meso_O3(x = Bizkaia_data)
Res_meso_SO2 - Calculates hourly mesophyll resistance for SO2
Description
Res_meso_SO2 - Calculates hourly mesophyll resistance for SO2
Usage
Res_meso_SO2(x)
Arguments
x |
A data frame containing hourly data of weather variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight)) |
Value
Hourly data of mesophyll resistance for SO2 (s m-1)
Examples
data(Bizkaia_data)
Res_meso_SO2(x = Bizkaia_data)
Res_soil - Calculates soil resistance on an hourly basis
Description
Res_soil - Calculates soil resistance on an hourly basis
Usage
Res_soil(x, r_soil_inleaf = 2941, r_soil_outleaf = 2941)
Arguments
x |
A data frame containing hourly data of weather and other variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
r_soil_inleaf |
Resistance value during in-leaf season |
r_soil_outleaf |
Resistance value during in-leaf season |
Value
Hourly data of soil resistance (s m-1)
Examples
data(Bizkaia_data)
Res_soil(x = Bizkaia_data, r_soil_inleaf = 2941, r_soil_outleaf = 2941)
Res_stom_NO2 - Calculates stomata resistance on an hourly basis
Description
Res_stom_NO2 - Calculates stomata resistance on an hourly basis
Usage
Res_stom_NO2(x, m2 = 1, m3 = 4)
Arguments
x |
A data frame containing hourly data of weather and other variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
m2 |
Dimensionless slope for different air pollutants |
m3 |
Dimensionless slope for different species |
Value
Hourly data of stomata resistance (s m-1)
Examples
data(Bizkaia_data)
Res_stom_NO2(x = Bizkaia_data)
Res_stom_O3 - Calculates stomata resistance on an hourly basis
Description
Res_stom_O3 - Calculates stomata resistance on an hourly basis
Usage
Res_stom_O3(x, m2 = 1, m3 = 4)
Arguments
x |
A data frame containing hourly data of weather and other variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
m2 |
Dimensionless slope for different air pollutants |
m3 |
Dimensionless slope for different species |
Value
Hourly data of stomata resistance (s m-1)
Examples
data(Bizkaia_data)
Res_stom_O3(x = Bizkaia_data)
Res_stom_SO2 - Calculates stomata resistance on an hourly basis
Description
Res_stom_SO2 - Calculates stomata resistance on an hourly basis
Usage
Res_stom_SO2(x, m2 = 1, m3 = 4)
Arguments
x |
A data frame containing hourly data of weather and other variables (e.g. Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
m2 |
Dimensionless slope for different air pollutants |
m3 |
Dimensionless slope for different species |
Value
Hourly data of stomata resistance (s m-1)
Examples
data(Bizkaia_data)
Res_stom_SO2(x = Bizkaia_data)
TreeDep_plot - Generates a plot for selected variables and dates.
Description
TreeDep_plot - Generates a plot for selected variables and dates.
Usage
TreeDep_plot(my_data, variable1, variable2 = "Non-existent", start_month,
start_day, stop_month, stop_day)
Arguments
my_data |
A data frame containing hourly data pollutant concentration and other variables (Dates (e.g. 01/01/2016 00:00:00), Hum (%), Pres (kPa), Precip (mm), Rad (W m-2), Temp (C), Wind (m s-1), Daylight (Night or Daylight), BAI, LAI) |
variable1 |
Variable to be plotted (e.g., "Dep_NO2", "Conc_O3", "Wind", "Temp") |
variable2 |
Variable to be plotted (e.g., "Dep_NO2", "Conc_O3", "Wind", "Temp") |
start_month |
First month of the year in the plot (between 1 and 12; e.g., 3) |
start_day |
First day of the month in the plot (between 1 and 31; e.g., 4) |
stop_month |
Last month of the year in the plot (between 1 and 12; e.g., 11) |
stop_day |
Last day of the month in the plot (between 1 and 31; e.g., 22) |
Details
The variables that can be plotted are: "Hum", "Pres", "Precip", "Rad", "Temp", "Wind", "BAI", "LAI", "Fric_vel", "Res_aero", "Res_boun_CO2", "Res_soil", "Conc_NO2", "Dep_NO2", "Dep_vel_NO2", "Res_boun_NO2", "Res_cuti_NO2", "Res_stom_NO2", "Res_meso_NO2", "Res_cano_NO2", "Res_Tot_NO2", "Conc_O3", "Dep_O3", "Dep_vel_O3", "Res_boun_O3", "Res_cuti_O3", "Res_stom_O3", "Res_meso_O3", "Res_cano_O3", "Res_Tot_O3", "Conc_SO2", "Dep_SO2", "Dep_vel_SO2", "Res_boun_SO2", "Res_cuti_SO2", "Res_stom_SO2", "Res_meso_SO2", "Res_cano_SO2", "Res_Tot_SO2", "Conc_CO", "Dep_CO", "Dep_vel_CO", "Res_boun_CO", "Res_cano_CO", "Res_Tot_CO", "Conc_PM10", "Dep_PM10", "Dep_vel_PM10".
Value
A plot with the variables and dates selected
Examples
TreeDep_plot(my_data = Bizkaia_data,
variable1 = "Dep_PM10",
variable2 = "Wind",
start_month = 6,
stop_month = 7,
start_day = 25,
stop_day = 3)