40 resultados para Quality indices
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This monthly report from the Iowa Department of Natural Resources is about the water quality management of Iowa's rivers, streams and lakes.
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This monthly report from the Iowa Department of Natural Resources is about the water quality management of Iowa's rivers, streams and lakes.
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This monthly report from the Iowa Department of Natural Resources is about the water quality management of Iowa's rivers, streams and lakes.
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This monthly report from the Iowa Department of Natural Resources is about the water quality management of Iowa's rivers, streams and lakes.
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A newsletter produced by Iowa Department of Agriculture and Land Stewardship. The DSC is responsible for state leadership in the protection and management of soil, water and mineral resources, assisting soil and water conservation districts and private landowners to meet their agricultural and environmental protection needs.
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The Iowa Department of Economic Development (IDED) is committed to assisting economic developers as they advise businesses with new projects and expansions. IDED and the Iowa Department of Natural Resources (IDNR) have developed this fact sheet as a guide to help a business or project meet state and federal air quality regulations.
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Iowa’s surface and ground water serves as a precious resource for industries, businesses and communities and provides state citizens and visitors with invaluable cultural and recreational opportunities. While water quality is regulated by the Iowa Department of Natural Resources (IDNR), compliance assistance is available through the Iowa Department of Economic Development (IDED) Water Quality Advocacy Program.
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What is in this review produced by The Iowa Department of Agricultural and Land Stewardship: Special Points of Interest: • CREP wetlands remove 40-90% of the nitrate and 90+% of the herbicide in tile drainage water from upper- lying croplands. • The watershed approach is comprehensive, efficient and effective resource management. • The Mines & Minerals Bureau, through the AML Program, worked with various watershed groups to secure an additional $1 million dollars in funding for the construction on AML projects in Marion and Mahaska counties. • Iowa Learning Farm is Building a Culture of Conservation: Farmer to Farmer—Iowan to Iowan.
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Special Points of Interest: • The Division of Soil Conservation celebrated its 70th anniversary July 1, 2009. The Iowa Soil Conservation: Laws were enacted in 1939 creating the state soil conservation agency and governing committee and providing for the creation of Iowa’s 100 soil and water conservation districts. • The Mines & Minerals Bureau, through the federal Abandoned Mine Land (AML) Program, worked with various watershed groups to again secure an additional $1 million dollars in funding for the construction on projects in Marion, Mahaska and Monroe Counties. • Iowa hosted the Mississippi River/Gulf of Mexico Hypoxia Task Force tour and meeting in September 2009.
Roadway Lighting and Safety: Phase II – Monitoring Quality, Durability and Efficiency, November 2011
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This Phase II project follows a previous project titled Strategies to Address Nighttime Crashes at Rural, Unsignalized Intersections. Based on the results of the previous study, the Iowa Highway Research Board (IHRB) indicated interest in pursuing further research to address the quality of lighting, rather than just the presence of light, with respect to safety. The research team supplemented the literature review from the previous study, specifically addressing lighting level in terms of measurement, the relationship between light levels and safety, and lamp durability and efficiency. The Center for Transportation Research and Education (CTRE) teamed with a national research leader in roadway lighting, Virginia Tech Transportation Institute (VTTI) to collect the data. An integral instrument to the data collection efforts was the creation of the Roadway Monitoring System (RMS). The RMS allowed the research team to collect lighting data and approach information for each rural intersection identified in the previous phase. After data cleanup, the final data set contained illuminance data for 101 lighted intersections (of 137 lighted intersections in the first study). Data analysis included a robust statistical analysis based on Bayesian techniques. Average illuminance, average glare, and average uniformity ratio values were used to classify quality of lighting at the intersections.