Methods of Maximum Discharge Computation in Ungauged River Basins. Review of Procedures in Romania

Voda, Anna Izabella; Sarpe, Adrian Constantin; Voda, Mihai

doi:10.21163/gt_2018.131.12

Cited by 5 publications

(5 citation statements)

References 16 publications

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“…There are many manuals, articles and references for equivalent runoff coefficient formulas, that can be used in the rational method (Costea, 2013;Győri et al, 2016;Haidu & Ivan, 2016;Voda et al, 2018).…”

Section: Runoff Coefficient (C)mentioning

confidence: 99%

The Potential of Green Infrastructure (Gi) for Reducing Stormwater Runoff in a Phnom Penh Neighborhood

Nou¹,

Charoenkit²

2020

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Any increase in impervious ground surfaces due to urban growth tends to intensify stormwater management problems. Partial urban flooding can occur any time when the volume of stormwater exceeds local drainage capacity. Phnom Penh has suffered from urban flooding for more than a decade because of the limited capacity of the city's drainage system. Numerous studies have investigated and proposed the use of green infrastructure (GI) as a tool for mitigating flooding due to stormwater runoff. The purpose of this study is to investigate the potential of proposed GI features for reducing stormwater runoff in central Phnom Penh. By using the Rational method, the peak discharge was analyzed and estimated for Tuol Svay Prei Pir, a central Phnom Penh neighborhood that experiences frequent flood problems. The runoff peaks produced by the current practices (S1), and the proposed practices that integrate with the GI features (S2) were compared. The results show that an increase in pervious surface up to 48.14% by implementing the four GI features; trees, bioswales, permeable pavements, and green roofs, the runoff rate will be reduced by 37.90%, which is equivalent to a reduction of 1.55 m 3 /s during peak runoff.

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Section: Runoff Coefficient (C)mentioning

confidence: 99%

The Potential of Green Infrastructure (Gi) for Reducing Stormwater Runoff in a Phnom Penh Neighborhood

Nou¹,

Charoenkit²

2020

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“…Thereby, hydrological modelling involves complex processes and such analyzes were all the more burdensome prior to the advanced software tools. Before the development of the computer technology in Romania and other countries, the surface runoff computation required laborious work and zonation maps with attributes of various parameters, reducing the importance and significance of the spatial variability of data inputs (Voda et al, 2018). MIKE HYDRO River, developed by DHI (Danish Hydraulic Institute) is one of the most widely used 1D river modelling packages.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Assessment of Different Loss Methods Available in Mike Hydro River-Uhm

Strapazan

Haidu

Irimuș

2021

Carpath. J. Earth Environ. Sci.

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Hydrologic modelling studies usually involve data series with a large temporal scale, especially in Romania, focusing on a long-term impact analysis. Nevertheless, event-based runoff models are essential tools for short-term purposes such as flash flood forecasting. Suitable methods or models must be considered in order to ensure the validity of such research based on parameter calibration to a particular area. Therefore, a comparative analysis of methods must be conducted first, in order to determine the optimal ones that can be used for future data prediction. The aim of the present study is to apply and validate the MIKE HYDRO River modeling system - the UHM module, through a comparative analysis of the SCS, Generalized SCS and Proportional Loss methods available, to a small-sized mountainous watershed, where no research has been conducted in this field. To this end, three spring rainfall events were chosen, but with different antecedent moisture conditions, in order to examine how well the chosen methods can reproduce the available observations in such circumstances. The SCS method yielded the highest quality performance, but the Proportional Loss method has also proven effective under these conditions.

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“…Furthermore, the cultural unit assessments considerably improve the compatibility of these Geosystem technologies and local knowledge. Sharing the information to the communal network authorities generates overflow coefficients, adjustment, better prognosis, promoting transparency and public awareness 10 . Big Data and Artificial Intelligence have to increase the Geosystems collaborative actions and social cohesion for the environment protection and cultural ecosystem services development, helping people to detect genuine answers for the difficult issues that exist in our developing complex world 11 .…”

Section: Introductionmentioning

confidence: 99%

Geosystems‘ Pathways to the Future of Sustainability

Voda

Kithiia

Jackiewicz

et al. 2019

Sci Rep

Self Cite

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The world’s future development depends on effective human-computer linkages. From local to global, the virtual illustrations of a geographical place have to emphasize in an integrative approach peoples‘ key position in the Geosystem. Human values and social networks are now empowered by the unlimited creativity of smartphone applications. Our Geosystem grounded theory envisions that the sustainable management of natural resources is a lifelong learning environment where the poor communities have access to the new technological advances. This paper will attempt to show the effectiveness of Geomedia techniques in the Geosystems identification, evaluation, and valorization processes for the benefit of local inhabitants. This present research methodology uses smartphone apps, Google Earth environmental datasets, Global Positioning Systems, and WebGIS for a geographical investigation and objective assessment of regions throughout the world. The results demonstrate that self-sustainable Geosystems will always be capable to regulate, control and assess progress towards their dynamic equilibrium state, continuously adapting to environmental and societal changes.

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Methods of Maximum Discharge Computation in Ungauged River Basins. Review of Procedures in Romania

Cited by 5 publications

References 16 publications

The Potential of Green Infrastructure (Gi) for Reducing Stormwater Runoff in a Phnom Penh Neighborhood

The Potential of Green Infrastructure (Gi) for Reducing Stormwater Runoff in a Phnom Penh Neighborhood

A Comparative Assessment of Different Loss Methods Available in Mike Hydro River-Uhm

Geosystems‘ Pathways to the Future of Sustainability

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