نتایج جستجو برای: monthly rainfallrunoff models

تعداد نتایج: 936475  

Journal: :مرتع و آبخیزداری 0
یوسف نبی پور دانشجوی کارشناسی ارشد آبخیزداری، دانشکده منابع طبیعی، دانشگاه تربیت مدرس مهدی وفاخواه دانشیار، دانشکده منابع طبیعی، دانشگاه تربیت مدرس

rainfall spatial analysis methods are very helpful since there are not enough rainfall gauge stations and watersheds are scattered in large extent. there are many different methods for estimating average precipitation such as; arithmetic method and thiessen polygon. however, the arrangement and location of data and their correlations are not considered by classic methods. thus, geostatistical t...

Abazar Solgi, Behdad Falamarzi Heidar Zarei

Precipitation forecasting due to its random nature in space and time always faced with many problems and this uncertainty reduces the validity of the forecasting model. Nowadays nonlinear networks as intelligent systems to predict such complex phenomena are widely used. One of the methods that have been considered in recent years in the fields of hydrology is use of wavelet transform as a moder...

Mojtaba Ebrahimi, Reza Mohammad Pour

In water supply systems, One of the most important components as safety unit and the current controller (Switching flow and regulate the amount of flow) used in the arrangement of lines of water. In this study, according to multiple ponds in Tanguiyeh dam water pipeline to industrial and mining company Gol Gohar Sirjan Butterfly valve used in these ponds using Fluent software simulation has bee...

Journal: :مدیریت آب و آبیاری 0
طاهر رجایی استادیار، گروه مهندسی عمران، دانشکدۀ فنی و مهندسی، دانشگاه قم، قم، ایران هادی ابراهیمی کارشناس ارشد سازه های هیدرولیکی، گروه مهندسی عمران، دانشکدۀ فنی و مهندسی، دانشگاه قم، قم، ایران

simulation of groundwater fluctuations plays a crucial role in management of watersheds and water demand balancing. recently, wavelet analysis has been used widely in time series decomposition and coupling with neural networks for hydrological modeling. in this paper, the ability of the wavelet-dynamic artificial neural networks (w-ann) model was applied in forecasting one-month-ahead of ground...

2016
Carole D Mitnick Richard A White Chunling Lu Carly A Rodriguez Jaime Bayona Mercedes C Becerra Marcos Burgos Rosella Centis Theodore Cohen Helen Cox Lia D'Ambrosio Manfred Danilovitz Dennis Falzon Irina Y Gelmanova Maria T Gler Jennifer A Grinsdale Timothy H Holtz Salmaan Keshavjee Vaira Leimane Dick Menzies Giovanni Battista Migliori Meredith B Milstein Sergey P Mishustin Marcello Pagano Maria I Quelapio Karen Shean Sonya S Shin Arielle W Tolman Martha L van der Walt Armand Van Deun Piret Viiklepp

Debate persists about monitoring method (culture or smear) and interval (monthly or less frequently) during treatment for multidrug-resistant tuberculosis (MDR-TB). We analysed existing data and estimated the effect of monitoring strategies on timing of failure detection.We identified studies reporting microbiological response to MDR-TB treatment and solicited individual patient data from autho...

Journal: :Geospatial health 2012
Ntombi B Mudenda John B Malone Michael T Kearney Paula D Mischler Prixia del Mar Nieto Jennifer C McCarroll Penelope Vounatsou

The distribution of hookworm in schistosomiasis-endemic areas in Brazil was mapped based on climate suitability. Known biological requirements of hookworm were fitted to data in a monthly long-term normal climate grid (18 x 18 km) using geographical information systems. Hookworm risk models were produced using the growing degree day (GDD) water budget (WB) concept. A moisture-adjusted model (MA...

ژورنال: علوم آب و خاک 2010
دستورانی, محمدتقی , افخمی, حمیده , مبین, حسین , ملکی نژاد, حسین ,

Drought is a natural feature of the climate condition, and its recurrence is inevitable. The main purpose of this research is to evaluate the effects of climatic factors on prediction of drought in different areas of Yazd based on artificial neural networks technique. In most of the meteorological stations located in Yazd area, precipitation is the only measured factor while generally in synopt...

2002
M Pulina M. Pulina

This paper constructs and estimates the demand for international tourism for the Italian Province of Sassari. The sample period under estimation is from 1972 to 1995. Three dynamic models are estimated at monthly, annual and quarterly data frequencies. Similarities and differences are explored amongst the three models, using recently developed econometric techniques. A “premodelling” data analy...

Journal: :پژوهش های جغرافیای طبیعی 0
محمدتقی ستاری استادیار گروه مهندسی آب، دانشکدۀ کشاورزی، دانشگاه تبریز علی رضازاده جودی دانشجوی کارشناسی ارشد عمران آب، دانشگاه آزاد اسلامی، واحد مراغه فرناز نهرین دانشجوی کارشناسی ارشد سازه‎های آبی، دانشکدۀ کشاورزی، دانشگاه تبریز

introduction rainfall is considered as one of the most important factures in water cycle. prediction of monthly rainfall is important for many purposes such as estimating torrent, drought, run-off, sediment, irrigation programming and also management of drainage basins. rainfall prediction in each area is mediated by punctual data measured as humidity, temperature, wind speed and etc. as iran i...

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