Adaptive hybrid architecture for enhancement of the complex hydroclimatic system and  assessment of freshwater security

Venkatesh Budamal; Amit Baburao Mahindrakar

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Adaptive hybrid architecture for enhancement of the complex hydroclimatic system and assessment of freshwater security

机译：Adaptive hybrid architecture for enhancement of the complex hydroclimatic system and assessment of freshwater security

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摘要

Future freshwater security relies on hydroclimatic (HC) shifts and regimes for sustainable development. The approximation of the HC systemfaces major uncertainties and complexities due to the incorporation of heavy datasets, characteristics, and constraints. The proposed studyfocused on the parallel computing of emulator modeling-based spatial optimization to enhance the HC systems with the perspective of futurefreshwater security in the Upper Chattahoochee River basin (UCR). Here, the framework compiles both physical and machine learning conceptswith adaptive technology for the replication of real-world scenarios. Besides, it contains 2Emulator Model Fitting, Spatial Optimization,Parallel Computing, and Initial and Adaptive sampling to upgrade model efficiency, while UCR has inadequate groundwater and the assessmentof freshwater security in UCR is more necessary for varying future climatic conditions. The results displayed that the proposed spatialoptimization algorithm proved to be an effective and efficient approach in the approximation of HC models. The assessment of water securityin UCR was showed in terms of scarcity and vulnerability indicators for median and low-level conditions, respectively. Moreover, this studyprovides the potential framework for the enhancement of physical model predictions with the incorporation of hybrid concepts for problemsolvingtechnology which can provide significant information on HC issues.

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来源
《Journal of hydroinformatics》 |2021年第5期|950-965|共16页
作者
Venkatesh Budamal; Amit Baburao Mahindrakar;
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作者单位

Department of Environmental and Water Resources Engineering, School of Civil Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu 632014, India;

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收录信息美国《科学引文索引》(SCI);
原文格式 PDF
正文语种英语
中图分类水文科学（水界物理学）;
关键词
adaptive machine learning; hybrid simulators; hydroclimatology; parallel computing; spatial optimization; water security;

Adaptive hybrid architecture for enhancement of the complex hydroclimatic system and assessment of freshwater security

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