Statewide analysis of the drainage-area ratio method for 34 streamflow percentile ranges in Texas

Asquith, William H.; Roussel, Meghan C.; Vrabel, Joseph

doi:10.3133/sir20065286

Cited by 33 publications

(15 citation statements)

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“…It is also possible to estimate flows at ungaged basins using statistical transfer models. These models include ones based on drainage-area ratios [14] and ones based on nonlinear spatial interpolation using flow duration curves (QPPQ) [1,15]; they require flows from an index gage to transfer flow information to ungaged locations. The index gage for these methods can be determined with both a nearest neighbor approach (minimum distance to an index gage) or by map correlation (maximum estimated correlation) [1,16].…”

Section: Introductionmentioning

confidence: 99%

Comparing Trends in Modeled and Observed Streamflows at Minimally Altered Basins in the United States

Hodgkins

Dudley

Russell

et al. 2020

Water

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We compared modeled and observed streamflow trends from 1984 to 2016 using five statistical transfer models and one deterministic, distributed-parameter, process-based model, for 26 flow metrics at 502 basins in the United States that are minimally influenced by development. We also looked at a measure of overall model fit and average bias. A higher percentage of basins, for all models, had relatively low trend differences between modeled and observed mean/median flows than for very high or low flows such as the annual 1-day high and 7-day low flows. Mean-flow metrics also had the largest percentage of basins with relatively good overall model fit and low bias. The five statistical transfer models performed better at more basins than the process-based model. The overall model fit for all models, for mean and/or high flows, was correlated with one or more measures of basin precipitation or aridity. Our study and previous studies generally observed good model performance for high flows up to 90th or 95th percentile flows. However, we found model performance was substantially worse for more extreme flows, including 99th percentile and annual 1-day high flows, indicating the importance of including more extreme high flows in analyses of model performance.

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Section: Introductionmentioning

confidence: 99%

Comparing Trends in Modeled and Observed Streamflows at Minimally Altered Basins in the United States

Hodgkins

Dudley

Russell

et al. 2020

Water

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“…Many researchers suggested that a multiple-source sites AR method should be used, because the runoff in ungauged catchment is affected by several donor catchments [16,17]. On the other hand, different relationships between runoff ratio and area ratio also affect the estimation [18]. AR methods usually give good simulation of the total runoff deviations [19].…”

Section: Introductionmentioning

confidence: 99%

A Combined Method for Estimating Continuous Runoff by Parameter Transfer and Drainage Area Ratio Method in Ungauged Catchments

Peng

Wang

et al. 2019

Water

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Continuous runoff needs to be estimated in ungauged catchments to interpret hydrological phenomena and manage water resources. Researchers have used various methods to estimate runoff in ungauged catchments, but few combined different methods to improve the estimation. A model parameter-based method named the parameter transfer (PT) method and a flow-based method of area ratio (AR) were combined and tested in eight catchments in a lake basin. The performance of the PT method depended on the model simulation and donors, which were related to physical and climate characteristics of the catchments. Two AR methods were compared and the results showed that the standard AR method was suitable in this study area with the area ratio between donor and target ranging from 0.46 to 1.41. ENS and R2 values suggested that the PT method used in this study showed a better result than the AR method in 75% of the considered sites, but the total runoff deviation was lower for the standard AR method than that for the PT method. We used the standard AR method weighted by the PT method, and compared three versions weighted with daily, monthly, and average ENS values of the PT and AR methods and one unweighted version. The results of the combined methods were promising. The version weighted with daily ENS performed best and gave improved R2 and daily ENS values for 75% of the receivers. The unweighted combined method performed stable in all sites. The combined method gave better simulation of daily and monthly continuous runoff in ungauged catchments than each individual method.

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“…To fill gap between sustainable water management and flow data scarcity, methods for flow estimation for ungauged catchments have been widely researched. The most common and perhaps oldest method is the drainage area ratio (DAR) method (Archfield & Vogel, ; Asquith, Roussel, & Vrabel, ; Famer & Vogel, ), where daily flows at ungauged catchments are estimated according to the drainage area ratio to a reference catchment. This method can be easily operated, but it cannot account for the spatial and temporal rainfall differences between the ungauged catchments and the reference catchment.…”

Section: Introductionmentioning

confidence: 99%

Estimating daily inflows of large lakes using a water‐balance‐based runoff coefficient scaling approach

Peng

Liu³

et al. 2019

Hydrological Processes

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Daily river inflow time series are highly valuable for water resources and water environment management of large lakes. However, the availability of continuous inflow data for large lakes is still relatively limited, especially for large lakes situated within humid plain regions with tens or even hundreds of tributaries. In this study, we choose the fifth largest freshwater Lake Chaohu in China as our study area to introduce a new approach to reconstruct historical daily inflows at ungauged subcatchments of large lakes. This approach makes use of water level, lake surface rainfall, evaporation from the lake, and catchment rainfall observations. Rainfall–runoff relationship at a reference catchment was analysed to select rainfall input and estimate run‐off coefficient firstly, and the run‐off coefficient was then transferred to ungauged subcatchments to initially estimate daily inflows. Run‐off coefficient was scaled to adjust daily inflows at ungauged subcatchments according to water balance of the lake. This approach was evaluated using sparsely measured inflows at eight subcatchments of Lake Chaohu and compared with the commonly used drainage area ratio method. Results suggest that the inflow time series reconstructed from this approach consistent well to corresponding observations, with mean R2 and Nash–Sutcliffe efficiency values of 0.69 and 0.6, respectively. This approach outperforms drainage area ratio method in terms of mean R2 and Nash–Sutcliffe efficiency values. Accuracy of this approach holds well when the number of water‐level station being used decreased from four to one.

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Statewide analysis of the drainage-area ratio method for 34 streamflow percentile ranges in Texas

Cited by 33 publications

References 0 publications

Comparing Trends in Modeled and Observed Streamflows at Minimally Altered Basins in the United States

Comparing Trends in Modeled and Observed Streamflows at Minimally Altered Basins in the United States

A Combined Method for Estimating Continuous Runoff by Parameter Transfer and Drainage Area Ratio Method in Ungauged Catchments

Estimating daily inflows of large lakes using a water‐balance‐based runoff coefficient scaling approach

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