The importance of the number of points, transect location and interpolation techniques in the analysis of bathymetric measurements

Diaconu, Daniel Constantin; Brețcan, Petre; Peptenatu, Daniel; Tanislav, Dănuț; Mailat, Emanuel

doi:10.1016/j.jhydrol.2018.12.070

Cited by 34 publications

(28 citation statements)

References 64 publications

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“…The results obtained solve a series of problems of methodological relevance, highlighted in numerous studies on the development of flood hazard maps (da Silva et al, 2017;Diaconu et al, 2017;Diaconu, Peptenatu, Tanislav, & Mailat, 2019;Draghici et al, 2017;Guse et al, 2019;Hofmann & Schuttrumpf, 2019;Pintilii et al, 2017;Zelenakova, Ganova, Purcz, & Satrapa, 2015). The use of FFPI in highlighting flood hazard areas contributes to the development of methodologies to analyse flood hazard mapping through a better understanding of the physical geographic context in which this process occurs.…”

Section: Discussionmentioning

confidence: 69%

Spatial assessment of flash‐flood vulnerability in the Moldova river catchment (N Romania) using theFFPI

Popa

Simion

Peptenatu

et al. 2020

J Flood Risk Management

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The identification of the areas vulnerable to flash floods is one of the greatest challenges in flood risk management for both the scientific world and decisionmakers. Its importance is underlined by the European Directive 2007/60/EC, which sets out the general framework of public policies to reduce the impacts of floods on the development of local communities. This research was conducted in the Moldova river catchment, located in the northern part of Romania, in the Carpathian Mountains, where half of the administrative-territorial units record floods annually. The methodology used the Flash Flood Potential Index (FFPI) which has been computed based on the correlation of various factors which have a direct impact on the surface runoff. Each geographical factor has been represented on a 30 m grid and the data aggregation has provided the spatial hazard model for floods. In addition, the impact of deforestation on flood events was also analysed. The result of the FFPI was compared with the official flood records of the local authorities from our study area. The results constitute a methodological instrument, complementary to the classical ones, for the elaboration of the flood hazard maps, with a special importance given to the modelling of this type of hazard in the area with no structural defence measures.

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Section: Discussionmentioning

confidence: 69%

Spatial assessment of flash‐flood vulnerability in the Moldova river catchment (N Romania) using theFFPI

Popa

Simion

Peptenatu

et al. 2020

J Flood Risk Management

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“…Os dados e resultados descritos neste trabalho são de natureza quantitativas, segundo Pereira A.S. et al (2018), uma vez que a pesquisa aborda a estimação de profundidade para todo o reservatório com uso de dados pontuais coletados. No estudo as metodologias utilizadas para cada método de interpolação foi: Krigagem Ordinária (Yamamoto & Landim, 2015), o inverso da distância ponderada (IDW) (Diaconu et al, 2019) e o spline (Wilson & Mair, 2004), Research, Society and Development, v. 9, n. 9, e690997755, 2020 (CC BY 4. A região de estudo possui clima tropical quente e úmido com temperatura e pluviosidade médias anuais de 25,6 ºC e 1409 mm, respectivamente (Araújo, 2007). A área de estudo está localizada na unidade geoambiental denominada Tabuleiros Costeiros Sergipanos, o solo predominante está enquadrado na classe argissolo vermelho amarelo, de classe textural argilosa (Embrapa, 2006).…”

Section: Metodologiaunclassified

“…Os interpoladores utilizados no estudo foram a Krigagem Ordinária (Yamamoto & Landim, 2015), o inverso da distância ponderada (IDW) (Diaconu et al, 2019) e o spline (Wilson & Mair, 2004). Antes da interpolação por krigagem é necessário obter semivariogramas experimentais e ajustar os modelos de semivariogramas teóricos.…”

Section: Interpoladoresunclassified

Avaliação de métodos de interpolação em dados de batimetria na barragem do rio Poxim-Açu – SE

Leite

Almeida

Loureiro

et al. 2020

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Normalmente, a profundidade dos reservatórios é estimada por dados pontuais de batimetria. Após a coleta dos dados batimétricos, seus valores são espacializados por métodos de interpolação. O objetivo deste trabalho foi avaliar o desempenho de três diferentes tipos de interpoladores em dados de batimetria coletados na barragem do rio Poxim-Açu, SE. Em setembro de 2016, 882 pontos batimétricos foram coletados no reservatório. Os dados de batimetria foram espacializados pelos métodos de interpolação do inverso do quadrado da distância, spline e da krigagem. Suas estimativas foram avaliadas e o melhor modelo escolhido com base nas estatísticas (RMSE) da validação cruzada. A barragem do rio Poxim apresenta uma profundidade média de aproximadamente 8,6 m e valores máximo e mínimo de 19,3 e 0,5 m, respectivamente. O melhor modelo de interpolação foi o da krigagem, com o ajuste do semivariograma esférico, com valores de RMSE de 1,64 m na validação cruzada, seguido pelo inverso do quadrado da distância (RMSE = 1,69 m) e o spline (RMSE = 1,72 m). Recomenda-se, portanto, a utilização da krigagem para espacialização dos valores de batimetria do reservatório analisado.

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“…Groundwater distribution and dynamic fluctuations in underground water and surface water levels have a direct impact on the quality of the environment as well as on human activities [1]. Aquifer level fluctuations are the dynamic responses of the system to recharging and discharging it by surface water sources (rivers, lakes, precipitations) [2].…”

Section: Introductionmentioning

confidence: 99%

Danube Water Levels Â€“ Fractal Analysis

Andronache¹,

Cristian²,

Constantin³

2019

Proceedings 2019

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Analysis of the hydrological regime of the rivers can provide a number of important information in the management activity and basin planning. At the same time, the impact of global climate change, land use as well as hydro technical and hydro power can be determined by fractal analysis of the hydrological values. In this regard, the present paper aims to test the Ruler Dimension, a fractal analysis method, to quantify the complexity of the dynamics of the Danube River water level, at the Braila hydrometric station. The fractal analysis was also used for the analysis of groundwater levels in the Balta Mare area of Braila, on the Gropeni Peceneaga alignment. Daily average values of the level were used in the analysis, over a time interval between 1997-2011. There was a close connection between the dynamics of the Danube levels and those of the groundwater, revealing a delay that gradually increases towards the interior of the Balta Mare of Brăila.

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The importance of the number of points, transect location and interpolation techniques in the analysis of bathymetric measurements

Cited by 34 publications

References 64 publications

Spatial assessment of flash‐flood vulnerability in the Moldova river catchment (N Romania) using theFFPI

Spatial assessment of flash‐flood vulnerability in the Moldova river catchment (N Romania) using theFFPI

Avaliação de métodos de interpolação em dados de batimetria na barragem do rio Poxim-Açu – SE

Danube Water Levels Â€“ Fractal Analysis

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