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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Environmental modelling & software : with environment data news Ročník 154; s. 105427
Hlavní autori:	Chen, Zexin, Zhao, Tongtiegang, Tu, Tongbi, Tu, Xinjun, Chen, Xiaohong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Elsevier Ltd 01.08.2022 Elsevier Science Ltd
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!