Seasonal and long-term prediction of low flows in the Rhine Basin
نویسندگان
چکیده
The aim of this paper is to give information about a new project on the Rhine River. In this project we intent to identify appropriate low flow prediction models for the seasonal and long term by comparing uncertainties in low flows predicted by different pre-selected models.
منابع مشابه
Long-term Streamflow Forecasting by Adaptive Neuro-Fuzzy Inference System Using K-fold Cross-validation: (Case Study: Taleghan Basin, Iran)
Streamflow forecasting has an important role in water resource management (e.g. flood control, drought management, reservoir design, etc.). In this paper, the application of Adaptive Neuro Fuzzy Inference System (ANFIS) is used for long-term streamflow forecasting (monthly, seasonal) and moreover, cross-validation method (K-fold) is investigated to evaluate test-training data in the model.Then,...
متن کاملImpact of structural geology on integrated water resources modeling improvement; a case study of Garesoo river basin, in Doab-Merek station, Kermanshah, Iran
Garesoo river basin in Doab-Merek, as studying area of this research, located in northwest of Kermanshah province in west part of Iran. There is long-term hydro climatologic data in this basin about rainfall, temperature, etc. (more than 50 years) and main river data (about 35 years). Due to intense fall down groundwater level and seasonal river drying, in the past 10 years .It was necessary th...
متن کاملEffects of land use changes on streamflow generation in the Rhine basin
[1] The hydrological regime of the Rhine basin is expected to shift from a combined snowmelt-rainfall regime to a more rainfall-dominated regime because of climate change, leading to more extreme flood peaks and low flows. Land use changes may reinforce the effects of this shift through urbanization or may counteract them through, for example, afforestation. In this study, we investigate the ef...
متن کاملLong-term spatial and temporal variability of ambient carbon monoxide in Urmia, Iran
One of the pillars of epidemiologic research on the long-term health effects of air pollution is to estimate the chronic exposures over space and time. In this study, we aimed to measure the intra-urban ambient carbon monoxide (CO) concentrations within Urmia city in Iran, and to build a model within the geographic information system (GIS) to estimate the annual and seasonal means anywhere with...
متن کاملStatistical model of daily flow in arid and semi arid regions
Abstract Stochastic model for synthetic data generation is not available for daily flows of intermittent streams. Such a model is required in the planning and operation of structures on an intermittent stream for purposes where short time flow fluctuations are important. In this study a model is developed for such a case. The model consists of four steps: determination of the days on which fl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009