Toward geostatistical unbiased predictions of flow duration curves at ungauged basins

Wolff, Wagner; Duarte, Sérgio Nascimento

doi:10.1016/j.advwatres.2021.103915

Cited by 8 publications

(1 citation statement)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…FDC can be used to diagnose the rainfall‐runoff response of a watershed to help develop or validate rainfall‐runoff models through the transition from precipitation change to runoff (Wang et al, 2023). It can be also used to analyse the similarity and difference between watersheds, establish a model using precipitation and watershed characteristics as input, and predict the hydrological elements of ungauged sub‐watersheds from a limited number of stations observed in the past (Burgan & Aksoy, 2022; Wolff & Duarte, 2021).…”

Section: Introductionmentioning

confidence: 99%

Physical controls and regional pattern similarities of precipitation and flow duration curves using the three‐parameter gamma distribution

Zhou,

Zhang

2024

Hydrological Processes

View full text Add to dashboard Cite

The flow duration curve (FDC) is the cumulative distribution function, which represents the relationship between the frequency and magnitude of streamflow, and the precipitation duration curves (PDC) follows the same principle. Nowadays, the correlation between the shape of PDC and FDCs, their respective physical control factors including human activities, and their fitting conditions in unmeasured catchments across China have not been fully understood. In this paper, daily precipitation and streamflow data with 30 years records from 224 hydrological stations in the middle and lower Yangtze River basin were chosen to fit PDC and FDCs through gamma distribution. Framework was proposed for modelling FDCs to analyse the relationship, similarity, regional patterns and response mechanism of fitting parameters between PDC and FDCs, dividing the streamflow time series into fast and base flow and stations into three categories in consideration of human activities to attribute the shapes of PDC and FDCs to catchment meteorological and geographical characteristics and physical processes under natural conditions. Results indicate that the parameters of PDC and certain FDCs (TFDC, FFDC, SFDC) share similar spatial patterns but vary for the different duration and interactions of the processes. The climate and catchment characteristics such as extreme properties of precipitation, base flow index (BFI), Pmax*αp and concentration ratio index (CIM) will influence the shape of PDC and FDCs. The relationship between BFI and SFDC/TFDC can be better reflected in “Regulated watersheds”, while CIM/Pmax*αp and PDC/FFDC in “watersheds in the mainstream” are more related. This paper provides a deeper understanding and more accurate way of the application of these parameters in describing and predicting hydrological processes and estimation of PDC and FDCs in unmeasured catchments, and can be applied to more future research about processes based on catchment rainfall‐runoff responses and physical controls.

show abstract

Section: Introductionmentioning

confidence: 99%

Physical controls and regional pattern similarities of precipitation and flow duration curves using the three‐parameter gamma distribution

Zhou,

Zhang

2024

Hydrological Processes

View full text Add to dashboard Cite

show abstract

A geostatistical approach to estimate flow duration curve parameters in ungauged basins

Goodarzi,

Vazirian

2023

Appl Water Sci

View full text Add to dashboard Cite

Flow duration curve represents the percentage of time that a river flow is equal to or greater. As these curves provide a direct response to the behavior of water resources in a basin, which is used widely in hydropower projects, it is important to predict flow duration curves in no metering basins, named “ungagged basins.” The geostatistical approach to predict the values of these curves in non-measured stations shows the expansion of the range of studies in this topic. The aim of this study is to predict the flow duration curve over long periods of time in a basin with ungauged regions using probability kriging, inverse distance weighting (IDW) and maximum likelihood (ML) methods. Flow data from 38 flow measuring stations in the Dez Basin were used to map different discharges of the flow duration curve, and as a result, in order to complete their values, zone and quantify them, three different values of Q10, Q50 and Q90 of the flow duration curve acquired. The results show that as the flow rate increases (or the time percentage decreases), the amount of computational error increases and in all cases, the probability kriging method has a smaller error (0.96) than the IDW (1.65) and ML (1.15) methods.

show abstract

Daily flow duration curve model for ungauged intermittent subbasins of gauged rivers

Burgan

Aksoy

2022

Journal of Hydrology

View full text Add to dashboard Cite

Toward geostatistical unbiased predictions of flow duration curves at ungauged basins

Cited by 8 publications

References 27 publications

Physical controls and regional pattern similarities of precipitation and flow duration curves using the three‐parameter gamma distribution

Physical controls and regional pattern similarities of precipitation and flow duration curves using the three‐parameter gamma distribution

A geostatistical approach to estimate flow duration curve parameters in ungauged basins

Daily flow duration curve model for ungauged intermittent subbasins of gauged rivers

Contact Info

Product

Resources

About