Effects of urbanization variables on model parameters for watershed divisions

Chen, Rong‐Song; Chuang, Wen-Nan; Cheng, Shin-jen

doi:10.1080/02626667.2014.910305

Cited by 7 publications

(6 citation statements)

References 47 publications

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“…The overland parameter responded more sensitively to the imperviousness than the channel parameter did. Chen et al (2014) confirmed that the overland storage changes more sensitively in response to the impervious changes than the channel storage does. Therefore, the channel storages were regarded as constants in this study.…”

Section: Storage Changes Resulting From Imperviousness Changes In Thesupporting

confidence: 81%

“…Hydrologists are concerned that changing imperviousness might alter the infiltration mechanism in the hydrological cycle and change watershed response (Legesse et al 2003;Hagg et al 2007;Ackerman and Stein 2008;Cheng et al 2010;Cheng 2011;Chen et al 2014;Zhang and Shuster 2014). Various runoff hydrographs are represented by different characteristics related to spatial rainfall and outlet-streamflow observations over time (Cheng et al 2013).…”

Section: Introductionmentioning

confidence: 99%

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Effects of Spatial-Temporal Imperviousness on Hydrological Responses of Various Areas in an Urbanized Watershed

Wang

Yu-ji

Cheng

et al. 2015

Water Resour Manage

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This study examined changes in the division responses caused by imperviousness changes in time. Each response is represented by an instantaneous unit hydrograph with storage parameters. The critical work in this study was to ensure that the calibrated storage coefficients reasonably respond to their corresponding imperviousness. Estimating the spatially different mean rainfall of each division by adopting traditional methods (e.g., the Thiessen polygon method) may be difficult because of the lack of raingauge data in a division. The storages cannot be measured directly and were generally calibrated using an optimization method with parameter bounds. The upper bounds, which imply an ultimate of each corresponding physical property, are particularly difficult to determine directly. This study applied block Kriging and nonlinear programming to estimate spatiotemporal effective rainfall. An approach was proposed to determine suitable upper bounds for each storage parameter in a calibration. An examination of the calibrated storages at three stages revealed that the values resulting from a calibration with suitable bounds are more reliable compared with those based on a calibration without bound limitation. Finally, we concluded that (1) suitable bounds are essential for ensuring that significant calibrated storages can be applied to achieve a favorable regression result; (2) the analytic results indicate that large changes in imperviousness in downstream areas reduced the time to peak by at least 15 %, increasing the peak discharge by Water Resour Manage (2015) 29:3551-3567 nearly 40 %; and (3) hydrograph characteristics of the watershed outlet reduced the time to peak by approximately 10 %, increasing the peak discharge by nearly 15 %.

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Section: Storage Changes Resulting From Imperviousness Changes In Thesupporting

confidence: 81%

Section: Introductionmentioning

confidence: 99%

Effects of Spatial-Temporal Imperviousness on Hydrological Responses of Various Areas in an Urbanized Watershed

Wang

Yu-ji

Cheng

et al. 2015

Water Resour Manage

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“…Toward this aim, attempts at expressing model parameters in terms of urbanization measures exist in the literature. For example, Cheng et al [51] and Chen et al [52] aimed to relate Nash model parameters to basic urban indicators, such as imperviousness and population. Kjeldsen et al [53] related the four parameters of a basically nonurban event-based and conceptual model to the urbanized proportion of seven catchments in the United Kingdom.…”

Section: Application Of Rf For Model Regionalization In Multiple Landmentioning

confidence: 99%

Random Forest Ability in Regionalizing Hourly Hydrological Model Parameters

Saadi

Oudin

Ribstein

2019

Water

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This study investigated the potential of random forest (RF) algorithms for regionalizing the parameters of an hourly hydrological model. The relationships between model parameters and climate/landscape catchment descriptors were multidimensional and exhibited nonlinear features. In this case, machine-learning tools offered the option of efficiently handling such relationships using a large sample of data. The performance of the regionalized model using RF was assessed in comparison with local calibration and two benchmark regionalization approaches. Two catchment sets were considered: (1) A target pseudo-ungauged catchment set was composed of 120 urban ungauged catchments and (2) 2105 gauged American and French catchments were used for constructing the RF. By using pseudo-ungauged urban catchments, we aimed at assessing the potential of the RF to detect the specificities of the urban catchments. Results showed that RF-regionalized models allowed for slightly better streamflow simulations on ungauged sites compared with benchmark regionalization approaches. Yet, constructed RFs were weakly sensitive to the urbanization features of the catchments, which prevents their use in straightforward scenarios of the hydrological impacts of urbanization.

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“…Watershed delimitation is very important in the subject of water or sedimentary transport in disaster and environmental fields [3,4], and basin morphometric parameters largely control a catchment's hydrology response [5]. In flood control management studies, different watershed division schemes can produce different simulation quantity results in the distribution of rainwater and sediment at the catchment scale [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

A Method for Dynamical Sub-Watershed Delimitating by No-Fill Digital Elevation Model and Defined Precipitation: A Case Study of Wuhan, China

Zhang

Cheng

Jin

et al. 2020

Water

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Watershed delimitation is very important in flood control management. The traditional sub-watersheds delimitated by a filling digital elevation model (DEM) may change the real sink area, such that it may not be the best choice in studies sensitive to sub-watershed storage. This paper proposes a dynamical watershed delimitation method using a no-fill DEM and precipitation. It considers a closed sink area containing cells that fully flow into a large special cell, which can flow out when its water level is “higher than outlet”. We took Wuhan City as a study area and defined the precipitation in return periods of 1, 5, 20, or 100 years to derive the sub-watersheds. It is found that, in the four delimitations, the ratio of isolated basic units which could not flow outside were 27%, 9%, 5%, and 1%, respectively, as the precipitation increased. The results show that the provided method satisfies the assumption that the sink area might overflow with increased precipitation. The sub-watershed delimitated by the proposed method has higher correlation with the distribution of waterlogging points than those delimitated according to the D8 algorithm. These findings indicate that the proposed method can derive reasonable sub-watershed delimitation and that it may be helpful in the practice of urban flood control management.

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Effects of urbanization variables on model parameters for watershed divisions

Cited by 7 publications

References 47 publications

Effects of Spatial-Temporal Imperviousness on Hydrological Responses of Various Areas in an Urbanized Watershed

Effects of Spatial-Temporal Imperviousness on Hydrological Responses of Various Areas in an Urbanized Watershed

Random Forest Ability in Regionalizing Hourly Hydrological Model Parameters

A Method for Dynamical Sub-Watershed Delimitating by No-Fill Digital Elevation Model and Defined Precipitation: A Case Study of Wuhan, China

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