Výsledky vyhledávání - "M Janga Reddy"

Akademický článek

Performance-based multi-objective design and expansion of water distribution networks considering life cycle costs and future demands

Autor: Swati Sirsant, M. Janga Reddy

Publikováno v: Water Supply, Vol 22, Iss 2, Pp 1388-1408 (2022)

Designing the Water Distribution Networks (WDNs) consists of finding out pipe sizes such that the demands are satisfied and the desired performance levels are achieved at minimum cost. However, WDNs are subject to many future changes such as an incre

Externí odkaz: https://doaj.org/article/a8adc579002e4579891817d587e8e5e8

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Performance-based multi-objective design and expansion of water distribution networks considering life cycle costs and future demands

Autor: Swati Sirsant, M. Janga Reddy

Publikováno v: Water Supply. 22:1388-1408

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::69dbbfd9fac57ec7cb1c19942d72a2fe
https://doi.org/10.2166/ws.2021.344

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Optimal Design of Pipe Networks Accounting for Future Demands and Phased Expansion using Integrated Dynamic Programming and Differential Evolution Approach

Autor: M. Janga Reddy, Swati Sirsant

Publikováno v: Water Resources Management. 35:1231-1250

The water distribution network (WDN) design comprises determining optimal pipe sizes to achieve minimum cost pipe network to meet the required demands and performance levels. However, with time, the water demand for any region changes due to populati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c0d37a2ca4e88c1ee001f0848a0b2c51
https://doi.org/10.1007/s11269-021-02777-8

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Evolutionary algorithms, swarm intelligence methods, and their applications in water resources engineering: a state-of-the-art review

Autor: D. Nagesh Kumar, M. Janga Reddy

Publikováno v: H2Open Journal. 3:135-188

During the last three decades, the water resources engineering field has received a tremendous increase in the development and use of meta-heuristic algorithms like evolutionary algorithms (EA) and swarm intelligence (SI) algorithms for solving vario

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::db6614b3a5151212b465be4f2815c57d
https://doi.org/10.2166/h2oj.2020.128

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Comparative performance evaluation of self-adaptive differential evolution with GA, SCE and DE algorithms for the automatic calibration of a computationally intensive distributed hydrological model

Autor: Saswata Nandi, M. Janga Reddy

Publikováno v: H2Open Journal. 3:306-327

Recently, physically-based hydrological models have been gaining much popularity in various activities of water resources planning and management, such as assessment of basin water availability, floods, droughts, and reservoir operation. Every hydrol

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::acede902699e4372d0453ee93952a107
https://doi.org/10.2166/h2oj.2020.030

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Multivariate Flood Risk Assessment of the Unplanned Semi- Urban Region by Incorporating Flood Hazard, Vulnerability, and Exposure

Autor: Sachin Bhere, M. Janga Reddy

The mapping of flood risk is important to identify areas at risk and to improve flood disaster management and preparedness. Flood risk is often expressed as the product of the hazard and the probable consequences which is determined in terms of direc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7cf8561a97f96e5c4612f806d38b3576
https://doi.org/10.21203/rs.3.rs-1286315/v1

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Multiscale modelling of monthly streamflows using MEMD-GP coupled approach

Autor: S. Adarsh, M. Janga Reddy

Publikováno v: International Journal of River Basin Management. 18:139-151

This study presented multiscale characterization of monthly streamflow time series using Multivariate Empirical Mode Decomposition (MEMD) and developed an innovative approach for streamflow predict...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5af1086a1b232aeb8c1a8134c9dfddd6
https://doi.org/10.1080/15715124.2019.1656220

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