Determination effects of impervious areas on urban watershed
Autor: | Burcu Şimşek Uygun, Mine Albek |
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Přispěvatelé: | Anadolu Üniversitesi, Mühendislik Fakültesi, Çevre Mühendisliği Bölümü, Albek, Mine |
Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
Pollution
HSPF Watershed Turkey Climate Health Toxicology and Mutagenesis media_common.quotation_subject Environmental pollution Land cover Rivers Water Supply Water Quality Impervious surface Environmental Chemistry Urban Cities Hspf Quality Parameter media_common Hydrology Nitrates Land use Urbanization Hydrological Model Water Pollution General Medicine Models Theoretical Environmental science Water quality |
Popis: | WOS: 000348917400071 PubMed ID: 25182427 After the industrial revolution, urban growth has been increasing, especially with technological advances. Urbanization is accelerating environmental pollution and also affects climate significantly because of land use or land cover changes. In this study, the Hydrological Simulation Program-Fortran (HSPF) model developed by the United States Environment Protection Agency (USEPA) is used for modeling the impervious areas of EskiAYehir which is located in the Porsuk Stream Watershed in Inner Anatolia, Turkey. Effects of impervious areas of Eskisehir on the Porsuk Stream pollution between 1975 and 2010 have been investigated. Important water quality parameters like nitrate, orthophosphate, sediment, chloride, and total coliform are modeled. Impervious land segments have been found to be affecting all parameter concentrations and also surface flows significantly as determined using the t test with a confidence level of 95 %. Scientific and Technological Research Council of Turkey [108Y091] The authors are indebted to the research fund of the Scientific and Technological Research Council of Turkey for supporting this study under a project entitled "Investigation of the Effects of Climate Change on the Hydrology and Water Quality of the Lower Porsuk Stream Watershed Using HSPF and Determination of Best Water Management Strategies" under project number 108Y091. |
Databáze: | OpenAIRE |
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