Applicability of statistical and deep-learning models for rainfall disaggregation at metropolitan stations in India

Autor: Debarghya Bhattacharyya, Priyam Deka, Ujjwal Saha

Publikováno v: Journal of Hydrology: Regional Studies, Vol 51, Iss , Pp 101616- (2024)

Study region: Metropolitan stations in India with distinct climatic conditions, namely, Delhi, Chennai, Kolkata, and Mumbai were selected for this study. Study focus: Rainfall disaggregation models were studied based on four models, namely Neyman-Sco

Externí odkaz: https://doaj.org/article/86ec64d4a228471c9b46e2b9024040a0

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Modelagem estocástica da demanda individualizada de água residencial

Autor: Damiano, Rafael Gaspar

A modelagem da demanda de água residencial fornece importantes subsídios ao dimensionamento e gerenciamento de redes de abastecimento de água. O comportamento desta demanda pode ser descrito através de processos estocásticos, caracterizados pela

Externí odkaz: http://www.teses.usp.br/teses/disponiveis/18/18138/tde-18032019-165703/

Application of Deterministic and Stochastic Water Demand Schemes in Modeling Solute Transport in Water Distribution Networks

Autor: Velitchko Tzatchkov, R.U. Santos-Tellez, Victor H. Alcocer-Yamanaka

Publikováno v: Procedia Engineering. 70:1485-1494

The advantages of applying a stochastic residential water demand scheme in a distribution network water quality model are presented. Two water quality models were implemented on a real water distribution network in which chlorine concentration tests

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0acc3b5550f004c4f4702ca50f1bcc4
https://doi.org/10.1016/j.proeng.2014.02.163

A simple approach for stochastic generation of spatial rainfall patterns

Autor: Florisa Melone, Marco Franchini, Luca Brocca, Tommaso Moramarco, Stefania Camici, Angelica Tarpanelli

Publikováno v: Journal of hydrology (Amst.) 472-473 (2012): 63–76. doi:10.1016/j.jhydrol.2012.09.010
info:cnr-pdr/source/autori:A. Tarpanelli, M. Franchini, L. Brocca, S. Camici, F. Melone, T. Moramarco/titolo:A simple approach for stochastic generation of spatial rainfall patterns/doi:10.1016%2Fj.jhydrol.2012.09.010/rivista:Journal of hydrology (Amst.)/anno:2012/pagina_da:63/pagina_a:76/intervallo_pagine:63–76/volume:472-473
EGU 2010, Wien, Austria, 2010
info:cnr-pdr/source/autori:Tarpanelli A., Franchini M., Camici S., Brocca L., Melone F., Moramarco T./congresso_nome:EGU 2010/congresso_luogo:Wien, Austria/congresso_data:2010/anno:2010/pagina_da:/pagina_a:/intervallo_pagine

Summary Rainfall scenarios are of considerable interest for design flood and flood risk analysis. To this end, the stochastic generation of continuous rainfall sequences is often coupled with the continuous hydrological modelling. In this context, th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de9b89ea74d35868f76bb380f1681759
http://www.cnr.it/prodotto/i/193700