{'fraction_non_alphanumeric': 0.02172096908939014, 'fraction_numerical': 0.01670843776106934, 'mean_word_length': 4.546296296296297, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Source-receptor reconciliation of routine air monitoring data for trace metals: an emission inventory assisted approach.

Inventory procedures for fine-particle trace-metals 
emissions are developed that assist aerosol source apportionment by receptor modeling techniques. It is shown 
how sparse routine air monitoring data sets on a very few 
trace elements can be used in chemical element balance 
calculations once emission inventory data have shown that 
a very few source signatures do complete a mass balance 
on those chemical elements that were measured. Methods 
developed are tested in the South Coast Air Basin of 
California for the year 1976, where it is shown that over 
80% of the fine lead emissions comes from highway traffic, 
81% of the nickel arises from fuel oil fly ash, and more 
than 90% of the iron and manganese comes from soil-like 
materials. With use of readily available trace element data 
from local and Federal monitoring networks, it is found 
that most monitoring sites are exposed to aerosol containing 
about 20% highway vehicle exhaust, 1-2% fuel oil fly ash, 20-50% soil dust or road dust, with sulfates and nitrates each present at about 15% of total mass.