Analysis: Average change over time

[FanWangEcon]

Average change over time

We compute change overtime in the exposure (units = share of time during the course of the year) of the average child to temperature over different thresholds. We consider a range of temperature from -40 to 40 at 1 degree intervals. We compare between 1990 and 2020. Our share of time is approximated by hourly ERA5 temperature meaures.

Part 1 Implementation with day and night time hours

Call PrjCEC::ffp_cec_inequality_func() and [PrjCEC::ffp_demo_loc_thres_dist()](https://github.com/ClimateInequality/PrjCEC/blob/main/R/ffp_cec_thres_combine.R), with:

• R-script/run_1a_mean_child_all24/ffs_pirecec_demo_1990_all24.R
• R-script/run_1a_mean_child_all24/ffs_pirecec_demo_2020_all24.R

Control parameters:

• population groups: stv_grp_demo <- "age_group_m3"
• population group selection: st_demo_subgroup <- "0_14"
• locations: stv_grp_loc <- "all_locations"
• Calculations:
  • st_time_stats <- "share"
  • ar_temp_bound <- seq(-40, 40, length.out = 81)
  • bl_greater <- TRUE

Input files:

• population file: df_china_census_county_1990.csv and df_china_census_county_2020.csv
• temperature file: df_era5_utci_china_1990_hour.csv and df_era5_utci_china_2020_hour.csv
• key files:
  • st_file_key_popgrp <- "df_key_demo_china_census_1990.csv"
  • st_file_key_loc <- "df_key_loc_china_coord2county_1990.csv"
  • st_file_key_loc_agg <- "df_key_loc_china_county2province_1990.csv"

Output files:

• data-res/dm_90h24_share_gr_age_group_m3is0_14_all_locations.csv
• data-res/dm_20h24_share_gr_age_group_m3is0_14_all_locations.csv

Part 2 Implementation with only daytime hours

All same as in part 2, but first run #35 to generate day time hours only, and then use different temperature files.

Code files:

• R-script/run_1b_mean_child_6t22/ffs_pierecec_daytimeonly_convert.R
• R-script/run_1b_mean_child_6t22/ffs_pirecec_demo_1990_6t22.R
• R-script/run_1b_mean_child_6t22/ffs_pirecec_demo_2020_6t22.R

Input files:

• temperature file: df_era5_utci_china_1990_hour6t22.csv and df_era5_utci_china_2020_hour6t22.csv.

Output files:

• data-res/dm_90h6t22_share_gr_age_group_m3is0_14_all_locations.csv
• data-res/dm_20h6t22_share_gr_age_group_m3is0_14_all_locations.csv

Part 3 Implementation with non-summer only time