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adds UST indicator (#1786)

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adds leaky underground storage tanks
This commit is contained in:
Emma Nechamkin 2022-08-03 11:10:13 -04:00 • committed by Emma Nechamkin
commit b0a728437c
6 changed files with 54 additions and 8 deletions
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6
data/data-pipeline/data_pipeline/score/field_names.py
View file

@ -170,7 +170,7 @@ TSDF_FIELD = "Proximity to hazardous waste sites"
NPL_FIELD = "Proximity to NPL sites"
AIR_TOXICS_CANCER_RISK_FIELD = "Air toxics cancer risk"
RESPIRATORY_HAZARD_FIELD = "Respiratory hazard index"
UST_FIELD = "Underground storage tanks"
UST_FIELD = "Leaky underground storage tanks"
LOW_INCOME_THRESHOLD = "Exceeds FPL200 threshold"
@ -430,6 +430,8 @@ HAZARDOUS_WASTE_LOW_INCOME_FIELD = (
# Critical Clean Water and Waste Infrastructure
WASTEWATER_DISCHARGE_LOW_INCOME_FIELD = f"Greater than or equal to the {PERCENTILE}th percentile for wastewater discharge and is low income?"
UST_LOW_INCOME_FIELD = f"Greater than or equal to the {PERCENTILE}th percentile for leaky underground storage tanks and is low income?"
# Health Burdens
DIABETES_LOW_INCOME_FIELD = f"Greater than or equal to the {PERCENTILE}th percentile for diabetes and is low income?"
@ -629,6 +631,8 @@ RMP_PCTILE_THRESHOLD = (
NPL_PCTILE_THRESHOLD = f"Greater than or equal to the {PERCENTILE}th percentile for NPL (superfund sites) proximity"
TSDF_PCTILE_THRESHOLD = f"Greater than or equal to the {PERCENTILE}th percentile for proximity to hazardous waste sites"
WASTEWATER_PCTILE_THRESHOLD = f"Greater than or equal to the {PERCENTILE}th percentile for wastewater discharge"
UST_PCTILE_THRESHOLD = f"Greater than or equal to the {PERCENTILE}th percentile for leaky underwater storage tanks"
DIABETES_PCTILE_THRESHOLD = (
f"Greater than or equal to the {PERCENTILE}th percentile for diabetes"
)

33
data/data-pipeline/data_pipeline/score/score_narwhal.py
View file

@ -442,23 +442,42 @@ class ScoreNarwhal(Score):
]
>= self.ENVIRONMENTAL_BURDEN_THRESHOLD
)
# Straight copy here in case we add additional water fields.
self.df[field_names.WATER_THRESHOLD_EXCEEDED] = self.df[
field_names.WASTEWATER_PCTILE_THRESHOLD
].copy()
self.df[field_names.UST_PCTILE_THRESHOLD] = (
self.df[field_names.UST_FIELD + field_names.PERCENTILE_FIELD_SUFFIX]
>= self.ENVIRONMENTAL_BURDEN_THRESHOLD
)
self.df[field_names.WASTEWATER_DISCHARGE_LOW_INCOME_FIELD] = (
self.df[field_names.WASTEWATER_PCTILE_THRESHOLD]
& self.df[field_names.FPL_200_SERIES_IMPUTED_AND_ADJUSTED]
)
self.df[field_names.UST_LOW_INCOME_FIELD] = (
self.df[field_names.UST_PCTILE_THRESHOLD]
& self.df[field_names.FPL_200_SERIES_IMPUTED_AND_ADJUSTED]
)
self.df[field_names.WATER_THRESHOLD_EXCEEDED] = self.df[
[
field_names.WASTEWATER_PCTILE_THRESHOLD,
field_names.UST_PCTILE_THRESHOLD,
]
].max(axis=1)
self._increment_total_eligibility_exceeded(
[field_names.WASTEWATER_DISCHARGE_LOW_INCOME_FIELD],
[
field_names.WASTEWATER_DISCHARGE_LOW_INCOME_FIELD,
field_names.UST_LOW_INCOME_FIELD,
],
skip_fips=constants.DROP_FIPS_FROM_NON_WTD_THRESHOLDS,
)
return self.df[field_names.WASTEWATER_DISCHARGE_LOW_INCOME_FIELD]
return self.df[
[
field_names.WASTEWATER_DISCHARGE_LOW_INCOME_FIELD,
field_names.UST_LOW_INCOME_FIELD,
]
].any(axis=1)
def _health_factor(self) -> bool:
# In Xth percentile or above for diabetes (Source: CDC Places)