کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4978302 1452264 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Coupling the short-term global forecast system weather data with a variable source area hydrologic model
ترجمه فارسی عنوان
اتصال داده های هواشناسی کوتاه مدت جهانی پیش بینی شده با یک مدل متغیر منبع هیدرولوژیکی منبع
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزار
چکیده انگلیسی
Few current modeling tools are designed to predict short-term, high-risk runoff from hydrologically sensitive areas (HSAs) in watersheds. This study couples the Soil and Water Assessment Tool-Variable Source Area model with the Climate Forecast System Reanalysis model and the Global Forecast System-Model Output Statistics model short term weather forecast, to develop a HSA prediction tool designed to assist producers, landowners, and planners in identifying high-risk areas generating storm runoff and pollution. Short-term predictions for stream flow and soil moisture level were estimated in the South Fork of the Shenandoah river watershed. Daily volumetric flow forecasts were found to be satisfactory four days into the future, and distributed model predictions accurately captured sub-field scale HSAs. The model has the potential to provide valuable forecasts that can be used to improve the effectiveness of agricultural management practices and reduce the risk of non-point source pollution.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Environmental Modelling & Software - Volume 86, December 2016, Pages 68-80
نویسندگان
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