Quantifying the performance of automated GIS-based geomorphological approaches for riparian zone delineation using digital elevation models

Abstract. Riparian zone delineation is a central issue for managing rivers and adjacent areas; however, criteria used to delineate them are still under debate. The area inundated by a 50-yr flood has been indicated as an optimal hydrological descriptor for riparian areas. This detailed hydrological information is usually only available for populated areas at risk of flooding. In this work we created several floodplain surfaces by means of two different GIS-based geomorphological approaches using digital elevation models (DEMs), in an attempt to find hydrologically meaningful potential riparian zones for river networks at the river basin scale. Objective quantification of the performance of the two geomorphologic models is provided by analysing coinciding and exceeding areas with respect to the 50-yr flood surface in different river geomorphological types.

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Modeling and classifying variable width riparian zones utilizing digital elevation models, flood height data, digital soil data and national wetlands inventory : a new approach for riparian zone delineation

10.37099/mtu.dc.etds/128 ◽

2011 ◽

Author(s):

Sinan A. Abood

Keyword(s):

Riparian Zone ◽

Digital Elevation Models ◽

Riparian Zones ◽

New Approach ◽

National Wetlands Inventory ◽

Digital Elevation ◽

Wetlands Inventory ◽

Height Data

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Enhancing the SWAT model for simulating denitrification in riparian zones at the river basin scale

Environmental Modelling & Software ◽

10.1016/j.envsoft.2017.03.017 ◽

2017 ◽

Vol 93 ◽

pp. 163-179 ◽

Cited By ~ 8

Author(s):

Linh Hoang ◽

Ann van Griensven ◽

Arthur Mynett

Keyword(s):

River Basin ◽

Swat Model ◽

Riparian Zones ◽

River Basin Scale ◽

Basin Scale

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Application of digital elevation models to delineate drainage areas and compute hydrologic characteristics for sites in the James River basin, North Dakota

Open-File Report ◽

10.3133/ofr90593 ◽

1990 ◽

Cited By ~ 1

Author(s):

G.J. Wiche ◽

S.K. Jenson ◽

J.V. Baglio ◽

Julia O. Domingue

Keyword(s):

North Dakota ◽

River Basin ◽

Digital Elevation Models ◽

James River ◽

Digital Elevation

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Setting the Flow Accumulation Threshold Based on Environmental and Morphologic Features to Extract River Networks from Digital Elevation Models

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi10030186 ◽

2021 ◽

Vol 10 (3) ◽

pp. 186

Author(s):

HuiHui Zhang ◽

Hugo A. Loáiciga ◽

LuWei Feng ◽

Jing He ◽

QingYun Du

Keyword(s):

Spatial Scales ◽

Digital Elevation Models ◽

Regional Scale ◽

Drainage Density ◽

River Network ◽

Landscape Patterns ◽

Estimation Methods ◽

River Networks ◽

Flow Accumulation ◽

Digital Elevation

Determining the flow accumulation threshold (FAT) is a key task in the extraction of river networks from digital elevation models (DEMs). Several methods have been developed to extract river networks from Digital Elevation Models. However, few studies have considered the geomorphologic complexity in the FAT estimation and river network extraction. Recent studies estimated influencing factors’ impacts on the river length or drainage density without considering anthropogenic impacts and landscape patterns. This study contributes two FAT estimation methods. The first method explores the statistical association between FAT and 47 tentative explanatory factors. Specifically, multi-source data, including meteorologic, vegetation, anthropogenic, landscape, lithology, and topologic characteristics are incorporated into a drainage density-FAT model in basins with complex topographic and environmental characteristics. Non-negative matrix factorization (NMF) was employed to evaluate the factors’ predictive performance. The second method exploits fractal geometry theory to estimate the FAT at the regional scale, that is, in basins whose large areal extent precludes the use of basin-wide representative regression predictors. This paper’s methodology is applied to data acquired for Hubei and Qinghai Provinces, China, from 2001 through 2018 and systematically tested with visual and statistical criteria. Our results reveal key local features useful for river network extraction within the context of complex geomorphologic characteristics at relatively small spatial scales and establish the importance of properly choosing explanatory geomorphologic characteristics in river network extraction. The multifractal method exhibits more accurate extracting results than the box-counting method at the regional scale.

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Water accounting for water management at the river basin scale in India: approaches and gaps

Water Policy ◽

10.2166/wp.2020.080 ◽

2020 ◽

Vol 22 (5) ◽

pp. 768-788

Author(s):

Nitin Bassi ◽

Guido Schmidt ◽

Lucia De Stefano

Keyword(s):

Water Management ◽

River Basin ◽

Water Policy ◽

Past Research ◽

River Basin Scale ◽

The Past ◽

Basin Scale ◽

Water Accounting ◽

Accounting Approaches ◽

National Water

Abstract The main objective of this research paper is to assess the extent to which the concept of water accounting has been applied for water management at the river basin scale in India. For this, the study first assesses the importance given to the use of water accounting for water management in India's national water policy. It then analyses the evolution of water accounting approaches in India through a systematic review of the past research studies on the theme. Further, it looks at their contribution to decision-making concerning allocation of water resources and resolving conflicts over water sharing. Finally, it identifies the existing gaps in the methodologies for water accounting so far used in India.

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