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Application of Soft Computing Techniques in River Flow Modeling.

• Authors : YESILYURT, Sefa Nur¹ ; DALKILIC, Huseyin Yildirim¹ ; SAMUI, Pijush²

• Source: Sakarya University Journal of Science (SAUJS) / Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi. Jun2023, Vol. 27 Issue 3, p643-659. 17p.

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Designation and trend analysis of the updated UK Benchmark Network of river flow stations: the UKBN2 dataset

• Authors : Shaun Harrigan; Jamie Hannaford; Katie Muchan

Subjects: climate change; droughts; floods

• Source: Hydrology Research, Vol 49, Iss 2, Pp 552-567 (2018)

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Impact of the Mekong River Flow Alteration on the Tonle Sap Flood Pulse

• Authors : Kummu, Matti; Sarkkula, Juha

• Source: Ambio, 2008 May 01. 37(3), 185-192.

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Model averaging versus model selection: estimating design floods with uncertain river flow data.

• Authors : Okoli, Kenechukwu^1,2 ; Breinl, Korbinian^1,2; Brandimarte, Luigia³

• Source: Hydrological Sciences Journal/Journal des Sciences Hydrologiques. Oct/Nov2018, Vol. 63 Issue 13/14, p1913-1926. 14p.

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Simulation of river flow in the Thames over 120 years: Evidence of change in rainfall-runoff response?

• Authors : S.M. Crooks; A.L. Kay

Subjects: Hydrometric data pre-1961; Rainfall-runoff model; Response stationarity

• Source: Journal of Hydrology: Regional Studies, Vol 4, Iss PB, Pp 172-195 (2015)

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Climate influences on Vaal River flow.

• Authors : Jury, Mark R.^1,2

Subjects: *CLIMATE change; *OCEAN-atmosphere interaction; *FLOODS

• Source: Water SA. Apr2016, Vol. 42 Issue 2, p232-242. 11p.

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Long-Term Downstream Effects of a Dam on a Lowland River Flow Regime: Case Study of the Upper Narew.

• Authors : Marcinkowski, Paweł¹ ; Grygoruk, Mateusz¹

Subjects: *DAMS; *STREAMFLOW; *FLOODS

• Source: Water (20734441). Oct2017, Vol. 9 Issue 10, p783. 22p.

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Mesozooplankton community structure changes in the Mfolozi–Msunduzi estuarine system, South Africa, during contrasting river flow conditions.

• Authors : Jerling, HL¹; Cyrus, DP¹

• Source: African Journal of Aquatic Science. Sep2016, Vol. 41 Issue 3, p309-317. 9p.

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Kabul River Flow Prediction Using Automated ARIMA Forecasting: A Machine Learning Approach

• Authors : Muhammad Ali Musarat; Wesam Salah Alaloul; Muhammad Babar Ali Rabbani

Subjects: ARIMA; Kabul River; machine learningagris

• Source: Sustainability; Volume 13; Issue 19; Pages: 10720

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Kabul River Flow Prediction Using Automated ARIMA Forecasting: A Machine Learning Approach

• Authors : Alishba Sadiq; Sergey Klyuev; Wesam Salah Alaloul

Subjects: Water flow; Geography, Planning and Development; TJ807-830

• Source: SustainabilityVolume 13Issue 19Sustainability, Vol 13, Iss 10720, p 10720 (2021)

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