The land area of Iron Mountain, MI was 7 in 2018.
Land Area
Water Area
Land area is a measurement providing the size, in square miles, of the land portions of geographic entities for which the Census Bureau tabulates and disseminates data. Area is calculated from the specific boundary recorded for each entity in the Census Bureau's geographic database. Land area is based on current information in the TIGER® data base, calculated for use with Census 2010.
Water Area figures include inland, coastal, Great Lakes, and territorial sea water. Inland water consists of any lake, reservoir, pond, or similar body of water that is recorded in the Census Bureau's geographic database. It also includes any river, creek, canal, stream, or similar feature that is recorded in that database as a two- dimensional feature (rather than as a single line). The portions of the oceans and related large embayments (such as Chesapeake Bay and Puget Sound), the Gulf of Mexico, and the Caribbean Sea that belong to the United States and its territories are classified as coastal and territorial waters; the Great Lakes are treated as a separate water entity. Rivers and bays that empty into these bodies of water are treated as inland water from the point beyond which they are narrower than 1 nautical mile across. Identification of land and inland, coastal, territorial, and Great Lakes waters is for data presentation purposes only and does not necessarily reflect their legal definitions.
Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API -
Geographic and Area Datasets Involving Iron Mountain, MI
- API
City of Flint Distribution System Monitoring Data
data.michigan.gov | Last Updated 2022-05-13T12:00:19.000ZThe City of Flint purchases treated water from the Great Lakes Water Authority (GLWA) and the Genesee County Drain Commissioner (GCDC) and provides further treatment to optimize corrosion control. • Data collected from the City's distribution system helps us know whether the treatment process is working correctly • Some data in the table is informational only • Some data shows whether target ranges for pH, orthophosphate, chlorine, and iron are being met. Other testing that EGLE is doing for the City of Flint is Lead and Copper Sequential Sampling. The four categories shown on the previous page (pH, Orthophosphate, Iron, and Chlorine) are main indicators of whether the City's corrosion control treatment is working properly. In 2017 EGLE set required ranges for pH and orthophosphate. An expanded dataset is available. Visit Michigan.gov/FlintWater for more information.
- API
City of Flint Distribution System Monitoring Data (Expanded)
data.michigan.gov | Last Updated 2022-05-13T12:01:35.000ZThe City of Flint purchases treated water from the Great Lakes Water Authority (GLWA) and the Genesee County Drain Commissioner (GCDC) and provides further treatment to optimize corrosion control. • Data collected from the City's distribution system helps us know whether the treatment process is working correctly • Some data in the table is informational only • Some data shows whether target ranges for pH, orthophosphate, chlorine, and iron are being met. Other testing that EGLE is doing for the City of Flint is Lead and Copper Sequential Sampling. This expanded dataset helps the City of Flint make decisions about the best way to treat the water. If more than one sample is collected per day at a particular location, the average or range of all daily samples may be shown. Visit Michigan.gov/FlintWater for more information.
- API
Beach E. coli Predictions
data.cityofchicago.org | Last Updated 2024-09-03T04:55:05.000ZThe Chicago Park District issues swim advisories at beaches along Chicago's Lake Michigan lakefront based on E. coli levels. This dataset shows predicted E. coli levels based on an experimental analytical modeling approach.
- API
Genesee County Drain Commissioner (GCDC) Monitoring Data
data.michigan.gov | Last Updated 2022-05-13T12:02:39.000ZPublic water systems sample for many different water quality indicators, also known as parameters, every day to help ensure the safety of your drinking water. The data shown in the tables below helps the City of Flint make decisions about the best way to treat the water. If more than one sample is collected per day at a particular location, the average or range of all daily samples may be shown. This table shows water quality data for the GCDC system. The City of Flint will use this data to make treatment decisions when the GCDC is supplying water to the City of Flint. Visit Michigan.gov/FlintWater for more information.
- API
Great Lakes Water Authority (GLWA) Monitoring Data
data.michigan.gov | Last Updated 2022-05-13T11:58:19.000ZPublic water systems sample for many different water quality indicators, also known as parameters, every day to help ensure the safety of your drinking water. The data shown in the tables below helps the City of Flint make decisions about the best way to treat the water. If more than one sample is collected per day at a particular location, the average or range of all daily samples may be shown. This table shows water quality data for the GLWA water system. The City will use this data to make treatment decisions when the GLWA is supplying water to the City of Flint. For more information, visit Michigan.gov/FlintWater
- API
NOAA - Severe weather warnings tornadoes - Storm based accuracy (%)
performance.commerce.gov | Last Updated 2024-03-28T20:23:03.000ZTornado Warnings are issued to enable the public to get out of harm’s way and mitigate preventable loss. NWS forecasters issue approximately 2,900 Tornado Warnings per year, primarily between the Rockies and Appalachian Mountains. Tornado Warning statistics are based on a comparison of warnings issued and weather spotter observations of tornadoes and/or storm damage surveys from Weather Forecast Offices in the United States. Accuracy or probability of detection (POD) is the percentage of time a tornado actually occurred in an area that was covered by a tornado warning. The difference between the accuracy percentage figure and 100% represents the percentage of events occurring without warning. Most tornadoes cannot be visually tracked from beginning to end and post-storm damage surveying is the official method with which the NWS categorizes tornado characteristics (intensity, path length & width) but must rely on radar data to estimate the timing of the tornado track.
- API
Beach Lab Data
data.cityofchicago.org | Last Updated 2024-09-04T19:00:17.000ZThe Chicago Park District collects and analyzes water samples from beaches along Chicago’s Lake Michigan lakefront. The Chicago Park District partners with the University of Illinois at Chicago Department of Public Health Laboratory to analyze water samples using a new DNA testing method called Rapid Testing Method (qPCR analysis) which tests for Enterococci in order to monitor swimming safety. The rapid testing method (qPCR analysis) is a new method that measures levels of pathogenic DNA in beach water. Unlike the culture based test that requires up to 24 hours of processing, the new rapid testing method requires a 4-5 hours for results. The Chicago Park District can use results of the rapid test to notify the public when levels exceed UPEPA recommended levels, which is 1000* CCE. When DNA bacteria levels exceed 1000 CCE, a yellow swim advisory flag is implemented. For more information please refer to the USEPA Recreational Water Quality Criteria (http://water.epa.gov/scitech/swguidance/standards/criteria/health/recreation). Historically, the Chicago Park District used the culture based analysis method and statistical prediction models to monitor beach water quality. The culture based method tests for Escherichia coli (E. coli) bacteria which is an indicator species for the presence of disease-causing bacteria, viruses, and protozoans that may pose health risks to the public. This method requires 18-24 hours of processing to receive results. The Chicago Park District would use results of the culture based method to notify the public when levels exceed UPEPA recommended levels, which is 235* CFU. When bacteria levels exceed 235 CFU, a yellow swim advisory flag was implemented. This standard is still used at most beaches throughout the Great Lakes region. For more information please refer to the USEPA Recreational Water Quality Criteria. The statistical prediction model forecasted real-time Escherichia coli (E. coli) bacteria levels present in the water. The Chicago Park District (CPD) in partnership with the US Geological Survey, developed statistical prediction models by using weather data pulled from CPD buoys (https://data.cityofchicago.org/d/qmqz-2xku) and weather stations (https://data.cityofchicago.org/d/k7hf-8y75). The Chicago Park District would use results of the predictive model to notify the public when bacteria levels would exceed 235 CFU. When bacteria levels exceed 235 CFU, a yellow swim advisory flag was implemented. * The unit of measurement for Escherichia coli is Colony Forming Units (CFU) per 100 milliliters of water. (Culture Based Method / Statistical Prediction Model) *The unit of measuring DNA is Enterococci Calibrator Cell Equivalents (CCE) per 100 milliliters of water. (Rapid Testing Analysis)
- API
Nova Scotia Lake Chemistry Data
data.novascotia.ca | Last Updated 2021-06-17T12:32:38.000ZThe Nova Scotia Lake Survey program is a partnership initiative between the Department of Environment and Climate Change and the Department of Fisheries and Aquaculture to inventory lakes throughout the province determining baseline water quality, in support of both sport fisheries and water resource management areas. The following weblink connects to a Department of Environment and Climate Change web map that includes the locations of the monitored lakes within the province and an alternative method for downloading the same lake chemistry dataset: http://nse.maps.arcgis.com/apps/webappviewer/index.html?id=7ded7a30bef44f848e8a4fc8672c89bd"
- API
West Usambara Plateau Soil Properties and Classification Data
datahub.usaid.gov | Last Updated 2024-06-25T02:49:56.000ZIn this manuscript, we synthesize current and legacy data from multiple studies to better understand the distribution and diversity of soil types and their properties in the Plateau physiographic region of the West Usamabara Mountains in Northeastern Tanzania. Analysis of soil properties and soil classification in the resulting dataset of 468 sites by land use, landscape position, and elevation revealed important relationships relevant for management and land use planning. These sites occurred across a range of landscape positions and an elevation gradient from 1040 – 2240 m.a.s.l. Soil diversity at the U.S. Order and WRB Reference Group levels was higher than expected, with five U.S. soil orders and seven WRB Reference Groups described in the dataset, and the highest soil diversity occurring at lower landscape positions. We found that soil organic carbon (SOC) and pH were two master variables that were correlated most other soil properties. Sites under cultivated land uses had the lowest topsoil soil organic carbon (SOC) concentrations, and SOC generally increased with increasing elevation. Mature forest and charcoal production areas did not significantly differ in their depth distributions of SOC. Valley soils had significantly lower surface SOC concentrations but higher exchangeable bases and pH values than all other landscape positions. Soil pH decreased by an average of 3.5 units across the entire elevation gradient and decreased by 1 unit with elevation even after SOC, land use and landscape position were included in multiple regression models. Local pedotransfer functions were developed to assist with the use of pH, clay and SOC as proxies for more difficult to measure soil properties such as cation exchange capacity (CEC) and base saturation (B.S.), bulk density and total phosphorus. Phosphorus (P) and potassium (K) were identified as the most likely limiting nutrients in West Usambaran plateau soils in general. This information is critical for sustainable land management which will be applicable to the soils of other mountain complexes in the Eastern Arc chain.
- API
Environmental Monitoring Results for Radioactivity: Water Samples
data.ct.gov | Last Updated 2024-07-05T15:21:41.000Z- Reporting units of sample results [where 1 picoCurie (pCi) = 1 trillionth (1E-12) Curie (Ci)]: • Water Samples are reported in pCi/L. - Data Quality Disclaimer: This database is for informational use and is not a controlled quality database. Efforts have been made to ensure accuracy of data in the database; however, errors and omissions may occur. Examples of potential errors include: • Data entry errors. • Lab results not reported for entry into the database. • Missing results due to equipment failure or unable to retrieve samples due to lost or environmental hazards. • Translation errors – the data has been migrated to newer data platforms numerous times, and each time there have been errors and data losses. - Error Results are the calculated uncertainty for the sample measurement results and are reported as (+/-). - Environmental Sample Records are from the year 1998 until present. Prior to 1998 results were stored in hardcopy, in a non-database format. Requests for results from samples taken prior to 1998 or results subject to quality assurance are available from archived records and can be made through the DEEP Freedom of Information Act (FOIA) administrator at deep.foia@ct.gov. Information on FOIA requests can be found on the DEEP website. FOIA Administrator Office of the Commissioner Department of Energy and Environmental Protection 79 Elm Street, 3rd Floor Hartford, CT 06106