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On December 3, 2025 at 2:13:01 AM UTC, Elena McDonald-Buller:

Changed title to Simulated Percentile Concentrations of Hazardous Air Pollutants in Southeast Texas from the Comprehensive Air Quality Model with Extensions (previously predicted 7month benzene statistics)

Set author of Simulated Percentile Concentrations of Hazardous Air Pollutants in Southeast Texas from the Comprehensive Air Quality Model with Extensions to Yosuke Kimura

Updated description of Simulated Percentile Concentrations of Hazardous Air Pollutants in Southeast Texas from the Comprehensive Air Quality Model with Extensions from
camx sim for results for 2019 apr-oct (emissions are updated to that of 2020), took 7month stats for each hour. e.g benz_ppb_p95.tif is 95th percentile conc across ~5000 hours, which is about 500th high conc across hours.,
to
Air quality simulations for Southeast Texas (SETx) were conducted with the Comprehensive Air Quality Model with Extensions (CAMx) version 7.201. The SETx air quality modeling platform is based on modifications to the most recent CAMx platform developed by the Texas Commission on Environmental Quality (TCEQ) to support the State Implementation Plan (SIP) for ozone2. The SETx platform includes explicit simulation of hazardous air pollutants (HAPs). Meteorological fields from the Weather Research and Forecasting Model (WRF) version 4.1.53 are representative of a seven-month time period spanning April 1 - October 31, 2019. Point, nonpoint, onroad, and nonroad emissions are from the U.S. Environmental Protection Agency's (EPA) 2020 National Emissions Inventory (NEI)4 with biomass burning emissions estimates for 2019 from the TCEQ2. The horizontal domain configuration of the SETx platform described in Table 1 includes an outer domain with 4-km x 4-km grid cell resolution spanning the Neches River Basin and an inner domain with 1-km x 1-km grid cell resolution over Jefferson, Orange, and southern Hardin Counties. The domains are defined on the Lambert Conformal Conic map projection in accordance with the parameters shown below, which are consistent with TCEQ modeling domains2: First True Latitude (Alpha): 33°N Second True Latitude (Beta): 45°N Central Longitude (Gamma): 97°W Projection Origin: (97°W, 40°N) Spheroid: Perfect Sphere, Radius = 6370 km Table 1. Horizontal grid structure and parameters for the SETx-UIFL CAMx domains. Domain Name (Abbreviation) Range (km) Number of Cells Cell Size (km) Easting Northing Easting Northing Northing Easting Texas-Louisiana 4-km (uifl_4km) (108,432) (-1224,-828) 81 89 4 4 Southeast Texas 1-km (uifl_1km) (252,324) (-1152,-1080) 72 72 1 1 The vertical grid structure includes 20 layers to an average of 2,144 m above ground level. The surface (first) vertical layer has a height of 34 meters (m). Simulations were conducted for nine HAPs including acetonitrile, 1,3-butadiene, benzene, ethylbenzene, ethylene oxide, hexane, styrene, toluene, xylenes (mixed isomers). Results are available in the form of 5th, 25th, 50th (median), 75th, 98th, 99th, and 100th (maximum) percentile concentrations in units of parts per billion by volume (ppb), determined from hourly average concentrations provided by CAMx across the seven-month time period. The GeoTIFF files include results for each surface grid cell within the 4-km and 1-km domains. A file with the metadata information given here and *.kml and shapefiles for the domains are also included.

Added the following tags to Simulated Percentile Concentrations of Hazardous Air Pollutants in Southeast Texas from the Comprehensive Air Quality Model with Extensions
- kml
- air
- pdf
- air toxic
- .shp

Moved Simulated Percentile Concentrations of Hazardous Air Pollutants in Southeast Texas from the Comprehensive Air Quality Model with Extensions from https://ckan.tacc.utexas.edu/dataset/predicted-7month-benzene-statistics to https://ckan.tacc.utexas.edu/dataset/simulated-percentile-concentrations-of-hazardous-air-pollutants

Changed the version of Simulated Percentile Concentrations of Hazardous Air Pollutants in Southeast Texas from the Comprehensive Air Quality Model with Extensions to 1.0

              
    
          
          
        
        
            f 1 { f 1 {
            n 2   "author": "", n 2   "author": "Yosuke Kimura",
            3   "author_email": "", 3   "author_email": "",
            4   "creator_user_id": "cf8f096f-d748-4c2c-a63a-b974e7e729e1", 4   "creator_user_id": "cf8f096f-d748-4c2c-a63a-b974e7e729e1",
            5   "groups": [], 5   "groups": [],
            6   "id": "c3c1b2b2-4d43-4603-b1c5-fc0877c279ae", 6   "id": "c3c1b2b2-4d43-4603-b1c5-fc0877c279ae",
            7   "isopen": false, 7   "isopen": false,
            8   "license_id": "notspecified", 8   "license_id": "notspecified",
            9   "license_title": "License not specified", 9   "license_title": "License not specified",
            10   "maintainer": "", 10   "maintainer": "",
            11   "maintainer_email": "", 11   "maintainer_email": "",
            12   "metadata_created": "2025-10-28T10:51:22.041310", 12   "metadata_created": "2025-10-28T10:51:22.041310",
            n 13   "metadata_modified": "2025-10-31T14:15:11.300895", n 13   "metadata_modified": "2025-12-03T02:13:01.943215",
            14   "name": "predicted-7month-benzene-statistics", 14   "name": 
            15   "notes": "camx sim for results for 2019 apr-oct (emissions are  15 "simulated-percentile-concentrations-of-hazardous-air-pollutants",
            16 updated to that of 2020), took 7month stats for each hour.  e.g  16   "notes": "Air quality simulations for Southeast Texas (SETx) were 
            17 benz_ppb_p95.tif is 95th percentile conc across ~5000 hours, which is  17 conducted with the Comprehensive Air Quality Model with Extensions 
            18 about 500th high conc across hours.,", 18 (CAMx) version 7.201. The SETx air quality modeling platform is based 
            19 on modifications to the most recent CAMx platform developed by the 
            20 Texas Commission on Environmental Quality (TCEQ) to support the State 
            21 Implementation Plan (SIP) for ozone2. The SETx platform includes 
            22 explicit simulation of hazardous air pollutants (HAPs). Meteorological 
            23 fields from the Weather Research and Forecasting Model (WRF) version 
            24 4.1.53 are representative of a seven-month time period spanning April 
            25 1 - October 31, 2019. Point, nonpoint, onroad, and nonroad emissions 
            26 are from the U.S. Environmental Protection Agency's (EPA) 2020 
            27 National Emissions Inventory (NEI)4 with biomass burning emissions 
            28 estimates for 2019 from the TCEQ2.\r\n\r\nThe horizontal domain 
            29 configuration of the SETx platform described in Table 1 includes an 
            30 outer domain with 4-km x 4-km grid cell resolution spanning the Neches 
            31 River Basin and an inner domain with 1-km x 1-km grid cell resolution 
            32 over Jefferson, Orange, and southern Hardin Counties. The domains are 
            33 defined on the Lambert Conformal Conic map projection in accordance 
            34 with the parameters shown below, which are consistent with TCEQ 
            35 modeling domains2: \r\nFirst True Latitude 
            36 (Alpha):\t33\u00b0N\r\nSecond True Latitude 
            37 (Beta):\t45\u00b0N\r\nCentral Longitude 
            38 (Gamma):\t97\u00b0W\r\nProjection Origin:\t\t        (97\u00b0W, 
            39 40\u00b0N)\r\nSpheroid:\t\t\t        Perfect Sphere, Radius = 6370 
            40 km\r\n\r\nTable 1. Horizontal grid structure and parameters for the 
            41 SETx-UIFL CAMx domains.\r\nDomain Name (Abbreviation)\t                      
            42 Range (km)\t       Number of Cells\t           Cell Size (km)\r\n\t                                                          
            43 Easting\t   Northing\t     Easting 
            44 Northing\tNorthing\tEasting\r\nTexas-Louisiana 4-km (uifl_4km)\t         
            45 (108,432)  (-1224,-828)\t            81\t89\t                  4\t    
            46 4\r\nSoutheast Texas 1-km (uifl_1km)\t         (252,324)   
            47 (-1152,-1080)\t    72\t72\t                  1\t    1\r\n\r\nThe 
            48 vertical grid structure includes 20 layers to an average of 2,144 m 
            49 above ground level. The surface (first) vertical layer has a height of 
            50 34 meters (m).  \r\n\r\nSimulations were conducted for nine HAPs 
            51 including acetonitrile, 1,3-butadiene, benzene, ethylbenzene, ethylene 
            52 oxide, hexane, styrene, toluene, xylenes (mixed isomers). Results are 
            53 available in the form of 5th, 25th, 50th (median), 75th, 98th, 99th, 
            54 and 100th (maximum) percentile concentrations in units of parts per 
            55 billion by volume (ppb), determined from hourly average concentrations 
            56 provided by CAMx across the seven-month time period. The GeoTIFF files 
            57 include results for each surface grid cell within the 4-km and 1-km 
            58 domains.  A file with the metadata information given here and *.kml 
            59 and shapefiles for the domains are also included. \r\n\r\n",
            19   "num_resources": 1, 60   "num_resources": 1,
            n 20   "num_tags": 1, n 61   "num_tags": 6,
            21   "organization": { 62   "organization": {
            22     "approval_status": "approved", 63     "approval_status": "approved",
            23     "created": "2024-12-13T20:42:01.291625", 64     "created": "2024-12-13T20:42:01.291625",
            24     "description": "Southeast Texas Urban Integrated Field Lab  65     "description": "Southeast Texas Urban Integrated Field Lab 
            25 (SETx-UIFL) is a DOE-funded Urban Integrated Field Laboratory studying  66 (SETx-UIFL) is a DOE-funded Urban Integrated Field Laboratory studying 
            26 the Beaumont-Port Arthur area. The project focuses on Gulf Coast  67 the Beaumont-Port Arthur area. The project focuses on Gulf Coast 
            27 communities with industrial facilities and population change  68 communities with industrial facilities and population change 
            28 challenges.", 69 challenges.",
            29     "id": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d", 70     "id": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d",
            30     "image_url":  71     "image_url": 
            31 "2025-01-01-201749.119847SETx-URBAN-IFL-Logo-Full-Color-Final.jpg", 72 "2025-01-01-201749.119847SETx-URBAN-IFL-Logo-Full-Color-Final.jpg",
            32     "is_organization": true, 73     "is_organization": true,
            33     "name": "setx-uifl", 74     "name": "setx-uifl",
            34     "state": "active", 75     "state": "active",
            35     "title": "Southeast Texas Urban Integrated Field Lab", 76     "title": "Southeast Texas Urban Integrated Field Lab",
            36     "type": "organization" 77     "type": "organization"
            37   }, 78   },
            38   "owner_org": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d", 79   "owner_org": "cddf0a8a-2c5b-4523-91c5-b8f167e6a21d",
            39   "private": false, 80   "private": false,
            40   "relationships_as_object": [], 81   "relationships_as_object": [],
            41   "relationships_as_subject": [], 82   "relationships_as_subject": [],
            42   "resources": [ 83   "resources": [
            43     { 84     {
            44       "cache_last_updated": null, 85       "cache_last_updated": null,
            45       "cache_url": null, 86       "cache_url": null,
            46       "created": "2025-10-31T14:08:23.546546", 87       "created": "2025-10-31T14:08:23.546546",
            47       "description": "please grab this, hopefully there are six tif  88       "description": "please grab this, hopefully there are six tif 
            48 files showing percentile point values", 89 files showing percentile point values",
            49       "format": "TIF", 90       "format": "TIF",
            50       "hash": "", 91       "hash": "",
            51       "id": "465209c8-f407-4eb2-99b3-4fc719e168c3", 92       "id": "465209c8-f407-4eb2-99b3-4fc719e168c3",
            52       "last_modified": "2025-10-31T14:08:23.511376", 93       "last_modified": "2025-10-31T14:08:23.511376",
            53       "metadata_modified": "2025-10-31T14:08:23.536389", 94       "metadata_modified": "2025-10-31T14:08:23.536389",
            54       "mimetype": "application/zip", 95       "mimetype": "application/zip",
            55       "mimetype_inner": null, 96       "mimetype_inner": null,
            56       "mint_standard_variables": "", 97       "mint_standard_variables": "",
            57       "name": "benz_ppb_pXXX.zip", 98       "name": "benz_ppb_pXXX.zip",
            58       "package_id": "c3c1b2b2-4d43-4603-b1c5-fc0877c279ae", 99       "package_id": "c3c1b2b2-4d43-4603-b1c5-fc0877c279ae",
            59       "position": 0, 100       "position": 0,
            60       "resource_type": null, 101       "resource_type": null,
            61       "size": 92428, 102       "size": 92428,
            62       "state": "active", 103       "state": "active",
            63       "url":  104       "url": 
            64 urce/465209c8-f407-4eb2-99b3-4fc719e168c3/download/benz_ppb_pxxx.zip", 105 urce/465209c8-f407-4eb2-99b3-4fc719e168c3/download/benz_ppb_pxxx.zip",
            65       "url_type": "upload" 106       "url_type": "upload"
            66     } 107     }
            67   ], 108   ],
            68   "spatial": "", 109   "spatial": "",
            69   "state": "active", 110   "state": "active",
            70   "tags": [ 111   "tags": [
            71     { 112     {
            n n 113       "display_name": ".shp",
            114       "id": "dca53e7a-2929-453d-8a7d-1ef720f3caee",
            115       "name": ".shp",
            116       "state": "active",
            117       "vocabulary_id": null
            118     },
            119     {
            72       "display_name": "TIF", 120       "display_name": "TIF",
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            74       "name": "TIF", 122       "name": "TIF",
            75       "state": "active", 123       "state": "active",
            76       "vocabulary_id": null 124       "vocabulary_id": null
            n n 125     },
            126     {
            127       "display_name": "air",
            128       "id": "5004df45-64c9-48a7-8430-ceb9224170f2",
            129       "name": "air",
            130       "state": "active",
            131       "vocabulary_id": null
            132     },
            133     {
            134       "display_name": "air toxic",
            135       "id": "081a127f-87b5-4c9a-885b-1021031cc953",
            136       "name": "air toxic",
            137       "state": "active",
            138       "vocabulary_id": null
            139     },
            140     {
            141       "display_name": "kml",
            142       "id": "5603278f-7d26-42a3-add0-a3dabcb16a00",
            143       "name": "kml",
            144       "state": "active",
            145       "vocabulary_id": null
            146     },
            147     {
            148       "display_name": "pdf",
            149       "id": "3ac36d3b-f340-4969-ba8c-10a5280ca799",
            150       "name": "pdf",
            151       "state": "active",
            152       "vocabulary_id": null
            77     } 153     }
            78   ], 154   ],
            n 79   "title": "predicted 7month benzene statistics", n 155   "title": "Simulated Percentile Concentrations of Hazardous Air 
            156 Pollutants in Southeast Texas from the Comprehensive Air Quality Model 
            157 with Extensions",
            80   "type": "dataset", 158   "type": "dataset",
            81   "url": "", 159   "url": "",
            t 82   "version": "" t 160   "version": "1.0"
            83 } 161 }