Assessing the importance of conduit geometry and physical parameters in karst systems using the storm water management model (SWMM)

Peterson, Eric W.; Wicks, Carol M.

doi:10.1016/j.jhydrol.2006.02.017

Cited by 131 publications

(81 citation statements)

References 26 publications

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“…The accuracy of prediction is acceptable at a MARE b 0.1% (Peterson and Wicks, 2006;Hu et al, 2009). RMSE is calculated as: where P i and p i are the predicted and measured values, respectively.…”

Section: Estimation Of the Spatial Mean Swcmentioning

confidence: 99%

Profile distribution of soil–water content and its temporal stability along a 1340-m long transect on the Loess Plateau, China

Shao

Jia

et al. 2016

CATENA

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Information on the profile characteristics of soil-water content (SWC) and its temporal stability is essential for an accurate understanding of hydrological processes. This study investigated changes of spatial variation and temporal stability of SWC in soil profiles and estimated mean SWC based on direct and indirect methods. SWCs were measured at 20-cm intervals in the soil profiles to a depth of 3 m using neutron probes at 135 locations along a 1340-m long transect on 18 sampling dates from 2012 to 2013 on the Loess Plateau in China. The coefficient of variation over space (CV S ) of SWC first decreased and then increased vertically. The coefficient of variation over time (CV T ) of SWC decreased along the soil profiles. The spatial patterns of SWC strongly persisted vertically and temporally. Mean Spearman's rank correlation coefficients decreased from a depth of 10 to a depth of 20 cm, fluctuated from 20 to 180 cm, and then increased below 200 cm. Temporal stability increased along the soil profiles based on the standard deviation of mean relative difference (SDRD) and the mean absolute bias error (MABE). The number of locations with an SDRD and/or MABE b 5% increased along the soil profile, and the number of locations with a mean relative difference within ±5% and/or representative locations were variably dependent on depth. Both direct and indirect methods could accurately estimate the mean SWC for each depth based on the mean absolute relative errors and root mean square errors. The driest and wettest locations tended to remain representative for more depths than did locations with mean-moistures. The driest locations were more likely to be the most temporally stable. These findings should improve our understanding of soil-water dynamics in soil profiles.

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Section: Estimation Of the Spatial Mean Swcmentioning

confidence: 99%

Profile distribution of soil–water content and its temporal stability along a 1340-m long transect on the Loess Plateau, China

Shao

Jia

et al. 2016

CATENA

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“…It is widely used throughout the world for planning, analysis and design related to storm water runoff, combined sewers, sanitary sewers, and other drainage systems in urban areas, with many applications in non-urban areas as well [6,[46][47][48][49][50][51]. …”

Section: Hydrodynamic Simulationsmentioning

confidence: 99%

Vulnerability Analysis of Urban Drainage Systems: Tree vs. Loop Networks

et al. 2017

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Vulnerability analysis of urban drainage networks plays an important role in urban flood management. This study analyzes and compares the vulnerability of tree and loop systems under various rainfall events to structural failure represented by pipe blockage. Different pipe blockage scenarios, in which one of the pipes in an urban drainage network is assumed to be blocked individually, are constructed and their impacts on the network are simulated under different storm events. Furthermore, a vulnerability index is defined to measure the vulnerability of the drainage systems before and after the implementation of adaptation measures. The results obtained indicate that the tree systems have a relatively larger proportion of critical hydraulic pipes than the loop systems, thus the vulnerability of tree systems is substantially greater than that of the loop systems. Furthermore, the vulnerability index of tree systems is reduced after they are converted into a loop system with the implementation of adaptation measures. This paper provides an insight into the differences in the vulnerability of tree and loop systems, and provides more evidence for development of adaptation measures (e.g., tanks) to reduce urban flooding.

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“…Wartości parametrów obiektów przyjęto na podstawie danych ustalonych dla fizycznie mierzalnych charakterystyk lub wartości zalecanych w podręczniku modelu (Rossman, 2010), jak również w innej literaturze (Peterson i Wicks, 2006;Park, Lee, Park i Ha, 2008). Charakterystyki i wymiary obiektów zlokalizowanych na obszarze portu lotniczego, takich jak przewodów sieci kanalizacyjnej i zbiorników, przyjęto zgodnie z danymi technicznymi uzyskanymi z dokumentacji projektowej i powykonawczej systemu odwodnienia lotniska.…”

Section: Model Zlewni Badawczejunclassified

Zastosowanie modelu SWMM do obliczenia przepływów i ich redukcji przez zbiorniki na obszarze lotniska Chopina

Barszcz

2017

ACTA SCIENTIARUM POLONORUM - Architectura Budownictwo

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Assessing the importance of conduit geometry and physical parameters in karst systems using the storm water management model (SWMM)

Cited by 131 publications

References 26 publications

Profile distribution of soil–water content and its temporal stability along a 1340-m long transect on the Loess Plateau, China

Profile distribution of soil–water content and its temporal stability along a 1340-m long transect on the Loess Plateau, China

Vulnerability Analysis of Urban Drainage Systems: Tree vs. Loop Networks

Zastosowanie modelu SWMM do obliczenia przepływów i ich redukcji przez zbiorniki na obszarze lotniska Chopina

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