Flexible user interface for machine learning techniques to enhance the complex geospatial hydro-climatic models with future perspective-Reference-Cited by-同舟云学术

Flexible user interface for machine learning techniques to enhance the complex geospatial hydro-climatic models with future perspective

Published:2020-12-28 Issue: Volume: Page:1-20
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Budamala Venkatesh¹²^ORCID,Mahindrakar Amit Baburao¹^ORCID

Affiliation:

1. Department of Environmental and Water Resources Engineering, School of Civil Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

2. Centre for Disaster Mitigation and Management, Vellore Institute of Technology, Vellore, Tamil Nadu, India

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2020.1864027

Reference37 articles.

1. Enhance the prediction of complex hydrological models by pseudo-simulators

2. Integration of Adaptive Emulators and Sensitivity Analysis for Enhancement of Complex Hydrological Models

3. Approximation of Metro Water District Basin Using Parallel Computing of Emulator Based Spatial Optimization (PCESO)

4. Effects of urbanization on streamflow using SWAT with real and simulated meteorological data

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