Modeling streamflow in non-gauged watersheds with sparse data considering physiographic, dynamic climate, and anthropogenic factors using explainable soft computing techniques-Reference-Cited by-同舟云学术

Modeling streamflow in non-gauged watersheds with sparse data considering physiographic, dynamic climate, and anthropogenic factors using explainable soft computing techniques

Published:2024-03 Issue: Volume:631 Page:130846
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Madhushani Charuni^ORCID,Dananjaya Kusal,Ekanayake I.U.,Meddage D.P.P.,Kantamaneni Komali,Rathnayake Upaka^ORCID

Publisher

Elsevier BV

Reference73 articles.

1. Automatic gap-filling of daily streamflow time series in data-scarce regions using a machine learning algorithm;Arriagada;J. Hydrol.,2021

2. National operational hydrologic remote sensing center snow data assimilation system (SNODAS) products at NSIDC;Barrett,2003

3. Global fully distributed parameter regionalization based on observed streamflow from 4,229 headwater catchments;Beck;J. Geophys. Res. Atmos.,2020

4. The enduring link between forest cover and rainfall: a historical perspective on science and policy discussions;Bennett;Forest Ecosystems,2018

5. Matplotlib and seaborn;Bisong,2019

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