Jeewanthi Sirisena on Muck Rack

Jeewanthi Sirisena

As seen in: MDPI
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Articles

Use of Machine Learning and Indexing Techniques for Identifying Industrial Pollutant Sources: A Case Study of the Lower Kelani River Basin, Sri Lanka

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By Luminda Niroshana Gunawardhana, Janaka Bamunawala, Jeewanthi Sirisena, Nalintha Wijayaweera
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Hydrology | Free Full-Text | Significance of Multi-Variable Model Calibration in Hydrological Simulations within Data-Scare River Basins: A Case Study in the Dry-Zone of Sri Lanka

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By Luminda Niroshana Gunawardhana, Janaka Bamunawala, Jeewanthi Sirisena, Kavini Pabasara
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Open in Who Shared Issue with article?

Assessing Climate-Change-Driven Impacts on Water Scarcity: A Case Study of Low-Flow Dynamics in the Lower Kalu River Basin, Sri Lanka

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By Rangika Fernando, Harsha Ratnasooriya, Janaka Bamunawala, Jeewanthi Sirisena
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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