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Rainfall : modeling, measurement and applications /

Rainfall: Physical Process, Measurement, Data Analysis and Usage in Hydrological Investigations integrates different rainfall perspectives, from droplet formation and modeling developments to the experimental measurements and their analysis, to application in surface and subsurface hydrological inve...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Morbidelli, Renato, 1968- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : Elsevier, [2022]
Temas:
Acceso en línea:Texto completo
Texto completo

MARC

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245 0 0 |a Rainfall :  |b modeling, measurement and applications /  |c edited by Renato Morbidelli. 
264 1 |a Amsterdam :  |b Elsevier,  |c [2022] 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from digital title page (viewed on March 14, 2022). 
520 |a Rainfall: Physical Process, Measurement, Data Analysis and Usage in Hydrological Investigations integrates different rainfall perspectives, from droplet formation and modeling developments to the experimental measurements and their analysis, to application in surface and subsurface hydrological investigations. Each chapter provides an updated representation of the involved subject with relative open problems and includes a case study at the end of the chapter. The book targets postgraduate readers studying meteorology, civil and environmental engineering, geophysics, agronomy and natural science, as well as practitioners working in the fields of hydrology, hydrogeology, agronomy and water resource management. 
650 0 |a Rain and rainfall. 
650 0 |a Rain and rainfall  |x Forecasting. 
650 0 |a Rain and rainfall  |x Measurement. 
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650 7 |a Rain and rainfall  |x Measurement  |2 fast  |0 (OCoLC)fst01089423 
700 1 |a Morbidelli, Renato,  |d 1968-  |e editor. 
776 0 8 |i Print version:  |t Rainfall.  |d Amsterdam : Elsevier, [2022]  |z 0128225440  |z 9780128225448  |w (OCoLC)1265457442 
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856 4 0 |u https://sciencedirect.uam.elogim.com/book/9780128225448/rainfall  |z Texto completo