Catchment Hydrology

Goodrich, David C.; Woolhiser, David A.

doi:10.1002/rog.1991.29.s1.202

Cited by 34 publications

(17 citation statements)

References 107 publications

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“…In this case, the use of comprehensive computer models, based on a distributed approach to hydrologic processes modeling including soil erosion and sediment yield, may be ineffective and the use of empirical and/or lumped approaches, such as the USLE and/or the sediment rating curve, is preferred. For instance, Goodrich and Woolhiser (1991) stated that in large catchments hydrologists are unable to understand and mathematically describe the complex physical processes. Jakeman et al (1999) noted that the difficulties in environmental modeling can be characterized as problems of natural complexity, spatial heterogeneity and the lack of available data.…”

Section: Methodsmentioning

confidence: 99%

Sediment Delivery Assessment for a Transboundary Mediterranean Catchment: The Example of Nestos River Catchment

Zarris

Vlastara

Panagoulia

2011

Water Resour Manage

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Nestos River flows through Bulgaria and Greece and discharges into the North Aegean Sea. Its total catchment area is around 6,200 km 2 , while the mean annual precipitation and runoff are 680 mm and 40 m 3 /s, respectively. The Hellenic part of the catchment has undergone a substantial hydroelectric development, since two dams associated with major hydropower pumped-storage facilities are in operation. The main objective of the paper is to assess the expected sediment delivery of Nestos R. at the uppermost Thisavros reservoir site. This has been carried out by implementing the Universal Soil Loss Equation in a GIS environment for determining the mean annual soil erosion in conjunction with a suspended sediment measurement program (114 measurements in total) accomplished between 1965 and 1983 adjacent to the dam site. The sediment discharge rating curve between sediment and river discharges in a power form has been constructed using five alternative techniques, namely (a) the linear regression of the log-transformed variables, (b) the same as (a) but with the Ferguson correction, (c) different ratings for the dry and wet seasons of the year, (d) the nonlinear regression, and (e) the broken line interpolation that utilizes different rating parameters for two discharge classes. It is shown that the mean annual sediment yield is almost equal for all rating curve formulations and varies between 178.5 tkm −2 and 203.4 tkm −2 and the highest value results from the broken line interpolation method. Accordingly, the sediment delivery ratios vary slightly between 17% and 19% of the upstream soil erosion.

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Section: Methodsmentioning

confidence: 99%

Sediment Delivery Assessment for a Transboundary Mediterranean Catchment: The Example of Nestos River Catchment

Zarris

Vlastara

Panagoulia

2011

Water Resour Manage

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“…Computational limitations at the time prevented implementation until advances in computer power made implementation of process-based modeling possible. In a review of watershed modeling progress, Goodrich and Woolhiser (1991) suggested that 'a detailed process-based understanding of hydrologic response over a range of catchment scales, 0.01-500 km 2 , still eluded the hydrologic community.' The need for explicit representation of spatial variability has become widespread in some modeling approaches as emphasized by Hornberger and Boyer (1995).…”

Section: Hydrologic Modeling Contextmentioning

confidence: 99%

Evaluation of a physics-based distributed hydrologic model for flood forecasting

Vieux

Cui

Gaur

2004

Journal of Hydrology

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“…This limitation is related to the availability of adequate data both to parameterize and to verify the models. Many researchers argue that our inability to accurately measure hydrologic variables at the spatio‐temporal resolution required to verify process‐based models will remain a challenge for the foreseeable future (e.g., Goodrich and Woolhiser, 1991; Lopes, 1996; Lane et al. , 1998).…”

Section: Introductionmentioning

confidence: 99%

Integrating Modeling and Field Experiments to Evaluate Impacts of Vegetative Practices on Ponderosa Pine Watersheds¹

Lopes

Vogl

2008

J American Water Resour Assoc

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Determining watershed response to vegetation treatment has been the subject of numerous hydrologic studies over the years. However, generalizing the information obtained from traditional paired‐watershed studies to other watersheds in a region is problematic because of the empirical nature of such studies and the context dependence of hydrologic responses. This paper addresses the issue of generalizing hydrologic information through integration of process‐based modeling and field observations from small‐scale watershed experiments. To this end, the results from application of a process‐based model were compared with the results from small‐scale watershed experiments in ponderosa pine forests of Arizona. The model simulated treatment impacts reasonably well when compared to the traditional paired‐watershed approach. However, the model tended to overestimate water yields during periods of low flow, and there was a significant difference between the two approaches in the estimation of treatment impacts during the first four years following treatment. The results indicate that the lumped‐parameter modeling approach used here may be limited in its ability to detect small changes, and tends to overestimate changes that occur immediately following treatment. It is concluded that watershed experiments can be highly informative due to their direct examination of cause‐effect relationships, while process‐based models are useful for their processing power and focus on functional relationships. The integrated use of both watershed experiments and process‐based models provides a way to generalize hydrologic information, illuminate the processes behind landscape treatment effects, and to generate and test hypotheses.

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Catchment Hydrology

Cited by 34 publications

References 107 publications

Sediment Delivery Assessment for a Transboundary Mediterranean Catchment: The Example of Nestos River Catchment

Sediment Delivery Assessment for a Transboundary Mediterranean Catchment: The Example of Nestos River Catchment

Evaluation of a physics-based distributed hydrologic model for flood forecasting

Integrating Modeling and Field Experiments to Evaluate Impacts of Vegetative Practices on Ponderosa Pine Watersheds¹

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Catchment Hydrology

Cited by 34 publications

References 107 publications

Sediment Delivery Assessment for a Transboundary Mediterranean Catchment: The Example of Nestos River Catchment

Sediment Delivery Assessment for a Transboundary Mediterranean Catchment: The Example of Nestos River Catchment

Evaluation of a physics-based distributed hydrologic model for flood forecasting

Integrating Modeling and Field Experiments to Evaluate Impacts of Vegetative Practices on Ponderosa Pine Watersheds1

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Integrating Modeling and Field Experiments to Evaluate Impacts of Vegetative Practices on Ponderosa Pine Watersheds¹