PairwiseIHA: A python toolkit to detect flow regime alterations for headwater rivers

The PairwiseIHA is an open-source toolkit written in Python that enables the user to quickly obtain the Indicators of Hydrologic Alteration (IHA) from inflow and outflow time series for headwater reservoirs. Specifically, the IHA metrics obtained from inflows (outflows) are considered as natural (re...

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Published in:	Environmental modelling & software : with environment data news Vol. 154; p. 105427
Main Authors:	Chen, Zexin, Zhao, Tongtiegang, Tu, Tongbi, Tu, Xinjun, Chen, Xiaohong
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.08.2022 Elsevier Science Ltd
Subjects:	California case studies computer software Flow regime humans Hydrology Indicators of hydrologic alteration Inflow Natural inflow Natural resources Outflow Range of variability approach Regulated outflow Reservoir operation time series analysis Toolkits water Water consumption Water inflow Water outflow Water users California Regulated outflow Flow regime Natural inflow Range of variability approach Reservoir operation Indicators of hydrologic alteration
ISSN:	1364-8152, 1873-6726
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Abstract	The PairwiseIHA is an open-source toolkit written in Python that enables the user to quickly obtain the Indicators of Hydrologic Alteration (IHA) from inflow and outflow time series for headwater reservoirs. Specifically, the IHA metrics obtained from inflows (outflows) are considered as natural (regulated) and the differences are used to indicate how the magnitude, frequency, duration, timing and rate of change are altered by reservoir operation. It extends the functionality of the popular IHA software for analyzing concurrent inflows and outflows. The results of three case study reservoirs in California highlight that reservoir operation leads to considerable alterations in the five components of the flow regime. The findings on flow regime alteration are consistent across wet, normal and dry years. Overall, the PairwiseIHA can serve as an effective tool to investigate alterations in flow regime induced by human activities for water managers, scientists, natural resource agencies and water users. •The PairwiseIHA toolkit was developed to investigate the hydrological regime.•The toolkit illustrated the flow regime alterations subject to reservoir operation.•The toolkit was shown to be effective for three case study reservoirs in California.
AbstractList	The PairwiseIHA is an open-source toolkit written in Python that enables the user to quickly obtain the Indicators of Hydrologic Alteration (IHA) from inflow and outflow time series for headwater reservoirs. Specifically, the IHA metrics obtained from inflows (outflows) are considered as natural (regulated) and the differences are used to indicate how the magnitude, frequency, duration, timing and rate of change are altered by reservoir operation. It extends the functionality of the popular IHA software for analyzing concurrent inflows and outflows. The results of three case study reservoirs in California highlight that reservoir operation leads to considerable alterations in the five components of the flow regime. The findings on flow regime alteration are consistent across wet, normal and dry years. Overall, the PairwiseIHA can serve as an effective tool to investigate alterations in flow regime induced by human activities for water managers, scientists, natural resource agencies and water users. The PairwiseIHA is an open-source toolkit written in Python that enables the user to quickly obtain the Indicators of Hydrologic Alteration (IHA) from inflow and outflow time series for headwater reservoirs. Specifically, the IHA metrics obtained from inflows (outflows) are considered as natural (regulated) and the differences are used to indicate how the magnitude, frequency, duration, timing and rate of change are altered by reservoir operation. It extends the functionality of the popular IHA software for analyzing concurrent inflows and outflows. The results of three case study reservoirs in California highlight that reservoir operation leads to considerable alterations in the five components of the flow regime. The findings on flow regime alteration are consistent across wet, normal and dry years. Overall, the PairwiseIHA can serve as an effective tool to investigate alterations in flow regime induced by human activities for water managers, scientists, natural resource agencies and water users. •The PairwiseIHA toolkit was developed to investigate the hydrological regime.•The toolkit illustrated the flow regime alterations subject to reservoir operation.•The toolkit was shown to be effective for three case study reservoirs in California.
ArticleNumber	105427
Author	Tu, Tongbi Chen, Zexin Zhao, Tongtiegang Tu, Xinjun Chen, Xiaohong
Author_xml	– sequence: 1 givenname: Zexin surname: Chen fullname: Chen, Zexin – sequence: 2 givenname: Tongtiegang orcidid: 0000-0001-6943-258X surname: Zhao fullname: Zhao, Tongtiegang email: zhaottg@mail.sysu.edu.cn – sequence: 3 givenname: Tongbi surname: Tu fullname: Tu, Tongbi – sequence: 4 givenname: Xinjun surname: Tu fullname: Tu, Xinjun – sequence: 5 givenname: Xiaohong surname: Chen fullname: Chen, Xiaohong
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Snippet	The PairwiseIHA is an open-source toolkit written in Python that enables the user to quickly obtain the Indicators of Hydrologic Alteration (IHA) from inflow...
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SubjectTerms	California case studies computer software Flow regime humans Hydrology Indicators of hydrologic alteration Inflow Natural inflow Natural resources Outflow Range of variability approach Regulated outflow Reservoir operation time series analysis Toolkits water Water consumption Water inflow Water outflow Water users
Title	PairwiseIHA: A python toolkit to detect flow regime alterations for headwater rivers
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