Determination of sensitivity of drainage morphometry towards hydrological response interactions for various datasets

Jain, Akshay Omprakash; Thaker, T. P.; Misra, Anil Kumar; Singh, A. K.; Kumari, Priyanka

doi:10.1007/s10668-020-00652-x

Cited by 6 publications

(5 citation statements)

References 48 publications

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“…Moreover, there is a paradigmatic case which is that of morphometric evaluations. There are numerous papers with a morphometric perspective ( [66,109,112,113], etc.) where a number of indices are computed (e.g., Horton's parameters) and compared with those values computed using the reference DEM.…”

Section: Discussionmentioning

confidence: 99%

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Global Digital Elevation Model Comparison Criteria: An Evident Need to Consider Their Application

López-Vázquez

López

2023

IJGI

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From an extensive search of papers related to the comparison of Global Digital Elevation Models (hereinafter GDEMs), an analysis is carried out that aims to answer several questions such as: Which GDEMs have been compared? Where have the comparisons been made? How many comparisons have been made? How have the assessments been carried out? Which is the GDEM option with the lowest RMSE? Analysis shows that SRTM and ASTER are the most popular GDEMs, that the countries where more comparisons have been made are Brazil, India, and China, and that the main type of reference data for evaluations is the use of points surveyed by GNSS techniques. A variety of criteria have been found for the comparison of GDEMs, but the most used are the RMSE and the standard deviation of the elevation error. There are numerous criteria with a more user-centric character in thematic areas, such as morphometry, geomorphology, erosion, etc. However, in none of the thematic areas does there exist a standard method of comparison. This limits the possibilities of establishing a ranking of GDEMs based on their user-focused quality. In addition, the methods and reference data set are not adequately explained or shared, which limits the interoperability of the studies carried out and the ability to make robust comparisons between them.

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Section: Discussionmentioning

confidence: 99%

“…Ref. [112] applies twenty-one morphometric parameters and uses relative error in evaluating the similarity between the derived drainage network of the GDEMs and a stream network derived from a topographic map.…”

mentioning

confidence: 99%

Global Digital Elevation Model Comparison Criteria: An Evident Need to Consider Their Application

López-Vázquez

López

2023

IJGI

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Section: Discussionmentioning

confidence: 99%

“…From Figure6, it is clear that SRTM DEM data shows a relatively less error percentage, and PALSAR DEM shows a higher error percentage than other sets of DEMs. Due to varied data collecting and processing methodologies for DEM creation, DEMs with equal spatial resolution can have distinct morphometry derivatives(21) .The SRB ground water potential zonation map is designed to the analysis of water resources of the region. It is evident from the map that there is a considerable water potential in the area of the basin where lineament density is high and drainage density is low.…”

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confidence: 99%

Morphometric Analysis for Sustainable Development of Watersheds Using Multisensor Satellite Data: A Case Study from Shiriya River Basin

Vidya¹,

Manoharan²

2022

IJST

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Objectives:The goal of this research is to calculate, compare and analyze the morphometric drainage parameters of Shiriya River Basin (SRB), Kasaragod, Kerala, using DEMs acquired by different satellite sensors and topographic data (SOI toposheet) for sustainable watershed development. Methods: The Arc GIS 10.3.1 software was used to measure linear, relief, and areal aspects of morphometry. The input data used for deriving the drainage network of the SRB were SOI toposheet (1:50000 scale), SRTM DEM (90m), Cartosat, ASTER and ALOS PALSAR DEM of resolution 30 m each. The relative error percentage of basic parameters derived from DEMs concerning the toposheet is calculated. A groundwater potential map is prepared using weighted overlay analysis of thematic layers (geology, geomorphology, slope, drainage density, lineament density and depth to water level). Findings: Present study revealed that the parameters derived from SRTM DEM data are more similar to those derived from toposheet. Most of the parameters obtained from each input DEM are more or less equal, and the minor variation may be due to varied data collecting and processing methodologies used for DEM creation. SRB is characterized by 6 th order stream with a dendritic drainage pattern, which is elongated and less susceptible to soil erosion. SRB has an intermediate texture and is in a mature stage of geomorphic evolution. Inference from the ground water potential zonation map indicates that major portion of the SRB has moderate ground water potential. Application/improvement: The study would be a valuable source for identifying water recharge sites, basin modelling, and groundwater prospect mapping. Novelty:This research has attempted to compare and analyze the morphometric parameters' results from multisensor satellite data for sustainable watershed management. An attempt has been done to understand the relation between morphometric parameters and ground water potential of SRB using Groundwater potential zonation map.

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“…Previous researchers have used morphometric analysis to manage extreme events and design control management for floods [22][23][24][25][26][27][28]. Youssef et al [29] state that morphometric parameters such as the form factor, drainage density, etc., are widely used to define the flash flood potentials in a river basin.…”

Section: Introductionmentioning

confidence: 99%

Changes in Extremes Rainfall Events in Present and Future Climate Scenarios over the Teesta River Basin, India

2023

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Globally, changes in hydroclimate extremes such as extreme precipitation events influence water resources, natural environments, and human health and safety. During recent decades, India has observed an enormous increase in rainfall extremes during the summer monsoon (June to September) seasons. However, future extreme rainfall events have significant uncertainty at the regional scale. Consequently, a comprehensive study is needed to evaluate the extreme rainfall events at a regional river basin level in order to understand the geomorphological characteristics and pattern of rainfall events. In the above purview, the current research focuses on changes in extreme rainfall events obtained through observed gridded datasets and future scenarios of climate models derived through the Coupled Model Intercomparison Project (CMIP). The results highlight a significant rise in the extremes of precipitation events during the first half of the 21st century. In addition, our study concludes that accumulated precipitation will increase by five days in the future, while the precipitation maxima will increase from 200 to 300 mm/day at the 2-year, 50-year, and 100-year return periods. Finally, it is found that during the middle of the 21st century the 23.37% number of events will increase over the TRB at the 90th percentile.

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Determination of sensitivity of drainage morphometry towards hydrological response interactions for various datasets

Cited by 6 publications

References 48 publications

Global Digital Elevation Model Comparison Criteria: An Evident Need to Consider Their Application

Global Digital Elevation Model Comparison Criteria: An Evident Need to Consider Their Application

Morphometric Analysis for Sustainable Development of Watersheds Using Multisensor Satellite Data: A Case Study from Shiriya River Basin

Changes in Extremes Rainfall Events in Present and Future Climate Scenarios over the Teesta River Basin, India

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