Sensitivity analysis of relationships between hydrograph components and landscapes metrics extracted from digital elevation models with different spatial resolutions

Evaluation of sensitivity of hydrograph components and landscape metrics extracted from various spatial resolutions reveals relationships between landscape metrics and outflow properties with the lowest error. In the present study, 14 Digital Elevation Models (DEMs) with different resolutions derive...

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Autores principales:	Seyed Hamidreza Sadeghi, Mostafa Moradi Dashtpagerdi, Hamidreza Moradi Rekabdarkoolai, Jeroen M. Schoorl
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Critical resolutions Landscape indices Map scale Uncertainty Verification Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/6dceb5df778841908fac97ec30627fb4
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spelling	oai:doaj.org-article:6dceb5df778841908fac97ec30627fb42021-12-01T04:32:46ZSensitivity analysis of relationships between hydrograph components and landscapes metrics extracted from digital elevation models with different spatial resolutions1470-160X10.1016/j.ecolind.2020.107025https://doaj.org/article/6dceb5df778841908fac97ec30627fb42021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X2030964Xhttps://doaj.org/toc/1470-160XEvaluation of sensitivity of hydrograph components and landscape metrics extracted from various spatial resolutions reveals relationships between landscape metrics and outflow properties with the lowest error. In the present study, 14 Digital Elevation Models (DEMs) with different resolutions derived from a vector and raster-radar source were analyzed to evaluate sensitivity of relationships between simulated hydrograph components and landscape metrics using multiple regression methods in the Galazchai Watershed, West Azerbaijan Province, Iran. To this end, DEM, slope, flow length and direction and time of concentration were developed in the vector and raster scales of 1:25000 and Advanced Land Observing Satellite-1 (ALOS) with different resolutions using ArcGIS 10.5 and ArcHydro software. Accordingly, 588 Direct Runoff Hydrographs (DRHs) were produced and clustered using Clark's Instantaneous Unit Hydrograph (IUH) model. The results showed that the best regression fits for flood volume and peak discharge were determined with Number of Disjunct Core Areas (NDCA) and Patch Density (PD) landscape metrics. Furthermore, the best regression fitted for time to peak and base time were observed with Core Area (CA) and Normalized Landscape Shape Index (NLSI) landscape metrics. In addition, the sensitivity analysis shows that the most sensitive spatial resolutions in modeling relationship between flood volume and peak discharge were determined at 5, 10, 20, and 30 m. The results revealed that hydrograph components in association with landscape metrics had high sensitivity to spatial resolutions, while the relationships between hydrological components and landscape metrics without considering the optimal spatial resolutions resulted in unacceptable results.Seyed Hamidreza SadeghiMostafa Moradi DashtpagerdiHamidreza Moradi RekabdarkoolaiJeroen M. SchoorlElsevierarticleCritical resolutionsLandscape indicesMap scaleUncertaintyVerificationEcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 107025- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Critical resolutions Landscape indices Map scale Uncertainty Verification Ecology QH540-549.5
spellingShingle	Critical resolutions Landscape indices Map scale Uncertainty Verification Ecology QH540-549.5 Seyed Hamidreza Sadeghi Mostafa Moradi Dashtpagerdi Hamidreza Moradi Rekabdarkoolai Jeroen M. Schoorl Sensitivity analysis of relationships between hydrograph components and landscapes metrics extracted from digital elevation models with different spatial resolutions
description	Evaluation of sensitivity of hydrograph components and landscape metrics extracted from various spatial resolutions reveals relationships between landscape metrics and outflow properties with the lowest error. In the present study, 14 Digital Elevation Models (DEMs) with different resolutions derived from a vector and raster-radar source were analyzed to evaluate sensitivity of relationships between simulated hydrograph components and landscape metrics using multiple regression methods in the Galazchai Watershed, West Azerbaijan Province, Iran. To this end, DEM, slope, flow length and direction and time of concentration were developed in the vector and raster scales of 1:25000 and Advanced Land Observing Satellite-1 (ALOS) with different resolutions using ArcGIS 10.5 and ArcHydro software. Accordingly, 588 Direct Runoff Hydrographs (DRHs) were produced and clustered using Clark's Instantaneous Unit Hydrograph (IUH) model. The results showed that the best regression fits for flood volume and peak discharge were determined with Number of Disjunct Core Areas (NDCA) and Patch Density (PD) landscape metrics. Furthermore, the best regression fitted for time to peak and base time were observed with Core Area (CA) and Normalized Landscape Shape Index (NLSI) landscape metrics. In addition, the sensitivity analysis shows that the most sensitive spatial resolutions in modeling relationship between flood volume and peak discharge were determined at 5, 10, 20, and 30 m. The results revealed that hydrograph components in association with landscape metrics had high sensitivity to spatial resolutions, while the relationships between hydrological components and landscape metrics without considering the optimal spatial resolutions resulted in unacceptable results.
format	article
author	Seyed Hamidreza Sadeghi Mostafa Moradi Dashtpagerdi Hamidreza Moradi Rekabdarkoolai Jeroen M. Schoorl
author_facet	Seyed Hamidreza Sadeghi Mostafa Moradi Dashtpagerdi Hamidreza Moradi Rekabdarkoolai Jeroen M. Schoorl
author_sort	Seyed Hamidreza Sadeghi
title	Sensitivity analysis of relationships between hydrograph components and landscapes metrics extracted from digital elevation models with different spatial resolutions
title_short	Sensitivity analysis of relationships between hydrograph components and landscapes metrics extracted from digital elevation models with different spatial resolutions
title_full	Sensitivity analysis of relationships between hydrograph components and landscapes metrics extracted from digital elevation models with different spatial resolutions
title_fullStr	Sensitivity analysis of relationships between hydrograph components and landscapes metrics extracted from digital elevation models with different spatial resolutions
title_full_unstemmed	Sensitivity analysis of relationships between hydrograph components and landscapes metrics extracted from digital elevation models with different spatial resolutions
title_sort	sensitivity analysis of relationships between hydrograph components and landscapes metrics extracted from digital elevation models with different spatial resolutions
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/6dceb5df778841908fac97ec30627fb4
work_keys_str_mv	AT seyedhamidrezasadeghi sensitivityanalysisofrelationshipsbetweenhydrographcomponentsandlandscapesmetricsextractedfromdigitalelevationmodelswithdifferentspatialresolutions AT mostafamoradidashtpagerdi sensitivityanalysisofrelationshipsbetweenhydrographcomponentsandlandscapesmetricsextractedfromdigitalelevationmodelswithdifferentspatialresolutions AT hamidrezamoradirekabdarkoolai sensitivityanalysisofrelationshipsbetweenhydrographcomponentsandlandscapesmetricsextractedfromdigitalelevationmodelswithdifferentspatialresolutions AT jeroenmschoorl sensitivityanalysisofrelationshipsbetweenhydrographcomponentsandlandscapesmetricsextractedfromdigitalelevationmodelswithdifferentspatialresolutions
_version_	1718405849319211008

Sensitivity analysis of relationships between hydrograph components and landscapes metrics extracted from digital elevation models with different spatial resolutions

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