Exploiting the Topographic Information in a PDM-Based Conceptual Hydrological Model

Noto, Leonardo

doi:10.1061/(asce)he.1943-5584.0000908

Cited by 13 publications

(6 citation statements)

References 52 publications

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“…Abedini () followed this idea and noted that the probability distributed models being used to describe heterogeneity in soil moisture storage (e.g. Moore and Clarke, ; Moore, ; ; Bell et al ., ; Bell et al ., ; Noto, ) could be used in a modelling approach for depression storage heterogeneity. In the laboratory and at plot scale, Abedini () simulated streamflow from depression dominated surfaces.…”

Section: Introductionmentioning

confidence: 99%

Incorporating landscape depression heterogeneity into the Soil and Water Assessment Tool (SWAT) using a probability distribution

Mekonnen

Mazurek

Putz

2016

Hydrological Processes

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Modelling the hydrology of North American Prairie watersheds is complicated because of the existence of numerous landscape depressions that vary in storage capacity. The Soil and Water Assessment Tool (SWAT) is a widely applied model for long‐term hydrological simulations in watersheds dominated by agricultural land uses. However, several studies show that the SWAT model has had limited success in handling prairie watersheds. In past works using SWAT, landscape depression storage heterogeneity has largely been neglected or lumped. In this study, a probability distributed model of depression storage is introduced into the SWAT model to better handle landscape storage heterogeneity. The work utilizes a probability density function to describe the spatial heterogeneity of the landscape depression storages that was developed from topographic characteristics. The integrated SWAT–PDLD model is tested using datasets for two prairie depression dominated watersheds in Canada: the Moose Jaw River watershed, Saskatchewan; and the Assiniboine River watershed, Saskatchewan. Simulation results were compared to observed streamflow using graphical and multiple statistical criterions. Representation of landscape depressions within SWAT using a probability distribution (SWAT–PDLD) provides improved estimations of streamflow for large prairie watersheds in comparison to results using a lumped, single storage approach. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

Incorporating landscape depression heterogeneity into the Soil and Water Assessment Tool (SWAT) using a probability distribution

Mekonnen

Mazurek

Putz

2016

Hydrological Processes

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“…Rainfall, air temperature, soil characteristics, topography, vegetation and hydrogeology are some of the inputs that are required by different models, which can be applied in overly complex and large basins. Some examples of these models are the Hydrologiska Byråns Vattenbalansavdelning (HBV) [24], Sacramento Soil Moisture Accounting (SAC-SMA) [25], Génie rural à 4 paramètres journalier (GR4)J [26], topography-based probability distributed model (TOPDM) [27] and Soil and Water Assessment Tool (SWAT) [28,29].…”

Section: Rainfall-runoff Modelmentioning

confidence: 99%

Improving Indicators of Hydrological Alteration in Regulated and Complex Water Resources Systems: A Case Study in the Duero River Basin

Pardo-Loaiza

Solera

Bergillos

et al. 2021

Water

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Assessing the health of hydrological systems is vital for the conservation of river ecosystems. The indicators of hydrologic alteration are among the most widely used parameters. They have been traditionally assessed at the scale of river reaches. However, the use of such indicators at the basin scale is relevant for water resource management since there is an urgent need to meet environmental objectives to mitigate the effects of present and future climatic conditions. This work proposes a methodology to estimate the indicators of hydrological alteration at the basin scale in regulated systems based on simulations with a water allocation model. The methodology is illustrated through a case study in the Iberian Peninsula (the Duero River basin), where different minimum flow scenarios were defined, assessing their effects on both the hydrological alteration and the demand guarantees. The results indicate that it is possible to improve the hydrological status of some subsystems of the basin without affecting the water demand supplies. Thus, the methodology presented in this work will help decision makers to optimize water management while improving the hydrological status of the river basins.

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“…Nowadays, one of the possibilities for overcoming such a problem is represented by remote sensing data, which can provide the opportunity to quickly and precisely have an overview of the flooded areas (Di Baldassarre et al, 2009;Bates, 2012;Grimaldi et al, 2016). However, remote sensing data may not be always adequate to describe the evolution and the effects of a pluvial flood either because they are often not timeously available due to the satellite orbit revisit time (Annis and Nardi, 2019), which is especially true when floods have a rapid temporal evolution and limited flood area extent (Notti et al, 2018), or because the substantial areas of the urban ground surface may not be visible due to the shadow caused by buildings (Lu et al, 2010;Mason et al, 2014Mason et al, , 2021Notti et al, 2018). In addition to remote sensing data, data gathered by citizens (i.e., crowdsourced data) are becoming increasingly important thanks to the widespread use of smartphones and social media (Hilbert, 2016).…”

Section: Introductionmentioning

confidence: 99%

A paradigm of extreme rainfall pluvial floods in complex urban areas: the flood event of 15 July 2020 in Palermo (Italy)

Francipane

Pumo

Sinagra

et al. 2021

Nat. Hazards Earth Syst. Sci.

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Abstract. In the last few years, some regions of the Mediterranean area have witnessed a progressive increase in extreme events, such as urban and flash floods, as a response to the increasingly frequent and severe extreme rainfall events, which are often exacerbated by the ever-growing urbanization. In such a context, the urban drainage systems may not be sufficient to convey the rainwater, thus increasing the risk deriving from the occurrence of such events. This study focuses on a particularly intense urban flood that occurred in Palermo (Italy) on 15 July 2020; it represents a typical pluvial flood due to extreme rainfall on a complex urban area that many cities have experienced in recent years, especially in the Mediterranean region. A conceptual hydrological model and a 2D hydraulic model, particularly suitable for simulations in a very complex urban context, have been used to simulate the event. Results have been qualitatively validated by means of crowdsourced information and satellite images. The experience of Palermo, which has highlighted the urgent need for a shift in the way stormwater in urban settlements is managed, can be assumed to be a paradigm for modeling pluvial floods in complex urban areas under extreme rainfall conditions. Although the approaches and the related policies cannot be identical for all cities, the modeling framework used here to assess the impacts of the event under study and some conclusive remarks could be easily transferred to other, different urban contexts.

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Exploiting the Topographic Information in a PDM-Based Conceptual Hydrological Model

Cited by 13 publications

References 52 publications

Incorporating landscape depression heterogeneity into the Soil and Water Assessment Tool (SWAT) using a probability distribution

Incorporating landscape depression heterogeneity into the Soil and Water Assessment Tool (SWAT) using a probability distribution

Improving Indicators of Hydrological Alteration in Regulated and Complex Water Resources Systems: A Case Study in the Duero River Basin

A paradigm of extreme rainfall pluvial floods in complex urban areas: the flood event of 15 July 2020 in Palermo (Italy)

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