GIS-Based Morphometric Analysis and Prioritization of Upper Ravi Catchment, Himachal Pradesh, India

Khurana, D.; Rawat, Shilpi; Raina, Girish; Sharma, Rishi; José, Paulo

doi:10.1007/978-981-13-8181-2_13

Cited by 12 publications

(8 citation statements)

References 15 publications

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“…The total stream length in an area of fixed green space, which is influenced by the density of surface flows, is also a key feature related to water storage. Decreasing the stream density by 4.6% can lead to a 35% decrease in the water storage capacity in the river ecosystem [39]. Our results indicate that a total stream length greater than 300 m will dramatically increase the water storage ability of the inner basin.…”

Section: Recommended Strategies For Reducing Urban Flooding Risksmentioning

confidence: 77%

A Theoretical Nonlinear Regression Model of Rainfall Surface Flow Accumulation and Basin Features in Park-Scale Urban Green Spaces Based on LiDAR Data

Huang

Tian

Wei

et al. 2023

Water

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Green infrastructure is imperative for efficiently mitigating flood disasters in urban areas. However, inadequate green space planning under rapid urbanization is a critical issue faced by most Chinese cities. Aimed at theoretically understanding the rainwater storage capacity and improvement potential of urban green spaces, a synthetic simulation model was developed to quantify rainfall surface flow accumulation (FA) based on the morphological factors of a flow basin: the area, circumference, maximum basin length, and stream length sum. This model consisted of applying the Urban Forest Effects-Hydrology model (UFORE-Hydro) to simulate the actual precipitation-to-surface runoff ratio through a procedure involving canopy interception, soil infiltration, and evaporation; additionally, a relatively accurate multiple flow direction-maximum downslope (MFD-md) algorithm was applied to distribute the surface flow in a highly realistic manner, and a self-built “extraction algorithm” extracted the surface runoff corresponding to each studied basin alongside four fundamental morphological parameters. The various nonlinear regression functions were assessed from both univariable and multivariable perspectives. We determined that the Gompertz function was optimal for predicting the theoretical quantification of surface FA according to the morphological features of any given basin. This article provides parametric vertical design guidance for improving the rainwater storage capacities of urban green spaces.

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Section: Recommended Strategies For Reducing Urban Flooding Risksmentioning

confidence: 77%

A Theoretical Nonlinear Regression Model of Rainfall Surface Flow Accumulation and Basin Features in Park-Scale Urban Green Spaces Based on LiDAR Data

Huang

Tian

Wei

et al. 2023

Water

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“…Ubicación del área de estudio METODOLOGIA La caracterización morfométrica de la CARSCH se realizó integrando metodologías aportadas por Horton (1945), López Cádenas del Llano (1998), Gaspari et al (2013), Khurana et al (2020) y Mandale & Bansod (2019). La información acerca de la elevación del terreno fue obtenida de datos digitales procedentes del proyecto SRTM (2000).…”

Section: Figuraunclassified

“…En ordenamiento de cuencas hidrográficas, se plantean además, estrategias para el análisis de variables morfométricas, que expresan el nivel de fragilidad de estas unidades de gestión territorial, debido a que el conocimiento de la variación espacial de los parámetros de forma, relieve y drenaje, permite manifestar y diseñar las líneas generales del movimiento y captación del agua de lluvia (Gaspari et al, 2013;Michalijos & Zapperi, 2015;Khurana et al, 2020); Shivanna & Vyshnavi,2019;Venkatesh & Anshumali, 2019).…”

Section: Introductionunclassified

Análisis de la variabilidad geoespacial de la fragilidad morfométrica en la cuenca alta del Río Sauce Chico, Argentina

Guaraca¹,

Antueno²,

Gaspari³

2021

revagro

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La caracterización morfométrica permite, por medio de la definición de parámetros de forma, relieve y red de drenaje, generar una descripción de la dinámica hídrica superficial y riesgo de erosión, estableciendo su fragilidad. Esta última se expresa por los procesos degradativos que se originan de los impactos de diferente magnitud de significación espacio-temporal en cada área funcional en una cuenca hidrográfica. El objetivo del presente trabajo fue evaluar la variabilidad geoespacial de la fragilidad morfométrica de la cuenca alta del río Sauce Chico, Tornquist, Argentina. Los parámetros morfométricos se determinaron a partir de datos tomados a campo con GPS y con valores provenientes del uso de modelos de elevación digital SRTM DEM, procesados con sistemas de información geográfica. La metodología empleada permitió evidenciar que la variabilidad geoespacial de la fragilidad morfométrica varía desde las serranías hacia la desembocadura, indicando una mayor torrencialidad y con una considerable descarga de sedimentos, con una alta peligrosidad sobre los asentamientos urbanos ubicados adyacente a sus cursos de agua. Las curvas hipsométricas adimensionales indican su naturaleza sedimentaria con una fuerte expresión sobre la fase madura, en coincidencia con los factores de relieve y drenaje. Las subcuencas de la cabecera conforman el 55,33% de cauces de orden 1 y 2, que denota una mayor presencia de inflexiones en el relieve, por roca en superficie y menos permeable, conduciendo de forma encajonada hacia áreas de lomadas induciendo a la escorrentía en manto generada por cualquier precipitación y menor tiempo de concentración.

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“…Taha et al (2017) [12] determined the flash flood hazard for Wadi Qena (Eastern Egypt) using remote sensing and GIS techniques for calculation of the geo-morphometric indices. Khurana et al (2020) [13] discussed the hydrologic response of a Himalayan watershed and its sub-watersheds using various morphological parameters extracted on the base of digital elevation model employing GIS techniques, and accordingly, conducted the subwatershed prioritization. Loczy et al (2009) [14] assessed the local flood hazard as moderate to high on the base of the analysis of channel morphometry and its evolution along the studied section of the Tisza River.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Watershed Morphometry on Occurrence of Torrential Floods: Case Study of Serbia and Bulgaria

Petrović¹,

Nikolova²,

Novković³

2021

Proceedings 2021

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In the present study, 43 watersheds in Serbia and Bulgaria are taken for the morphometric analysis using digital elevation model in the environment of geographical information system. Statistical analysis, including correlation, regression and factor analysis is conducted with the following results and conclusions: (1) as evidenced in the correlation matrix, there is a high correlation between maximal discharges and watershed area, primarily and watershed length, secondarily; (2) the high correlation is found between independent variables watershed area and watershed length, as well as Melton index and relief ratio; (3) the multiple linear regression model encompassing all seven independent variables is obtaind with R squared of 70,99, indicating that the model as fitted to that extent explains the variability in maximal discharge, and adjusted R squared of 0,65. An additional multiple regression analysis is done excluding the watershed area, due to a high starting impact on the dependent variable. In this case, a multiple regression linear model is obtained with R squared=60,116 and adjusted R squared=0,53468, leading to the conclusion that the excluded parameter has a high influence which is also confirmed by the results in correlation matrix; (4) according to the rotated component matrix in principal component analysis, first component is mostly influenced by the relief ratio, Melton index and watershed length, while the second component is determined by parameters of relief characteristics, slope >25ᵒ and watershed relief. Having regard to the results of correlation and factor analyses the watersheds are prioritized on the basis of the morphometric parameters with a purpose to indicate the watersheds with the high priority for implementation of measures reducing the flood risks. Though morphometric study itself is not sufficient to explain extensively the occurrence of maximal discharges in the events of demolishing torrential floods, morphometric analysis may meaningfully contribute to the flood risk assessment.

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GIS-Based Morphometric Analysis and Prioritization of Upper Ravi Catchment, Himachal Pradesh, India

Cited by 12 publications

References 15 publications

A Theoretical Nonlinear Regression Model of Rainfall Surface Flow Accumulation and Basin Features in Park-Scale Urban Green Spaces Based on LiDAR Data

A Theoretical Nonlinear Regression Model of Rainfall Surface Flow Accumulation and Basin Features in Park-Scale Urban Green Spaces Based on LiDAR Data

Análisis de la variabilidad geoespacial de la fragilidad morfométrica en la cuenca alta del Río Sauce Chico, Argentina

The Impact of Watershed Morphometry on Occurrence of Torrential Floods: Case Study of Serbia and Bulgaria

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