Morphometric analysis of watersheds: A comprehensive review of data sources, quality, and geospatial techniques

Padala Raja Shekar, Aneesh Mathew
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Abstract

The analysis of morphometric parameters plays a crucial role in understanding and managing watersheds, making it a fundamental component of hydrological investigations. This review paper talks about how important it is to objectively evaluate morphometric parameters, with a focus on the evaluation of basins' relief, linear, and areal parameters. However, it is noted that there is a lack of a distinct standard classification and implication for each parameter in some research publications. Furthermore, the range and categories of values for each morphometric parameter have not been adequately addressed in previous studies. Many papers state whether a particular parameter's resultant value is high or low without providing specific value ranges or associated implications. Also, it is emphasised that the accuracy and sources of digital elevation models (DEMs) affect how well morphometric parameter analysis works, even when DEMs with the same resolution are used. The existing literature demonstrates that determining the value of each morphometric parameter poses significant challenges. Moreover, verifying the first and second Horton's laws and assessing the correlations between morphometric parameters have been lacking in some articles. The main objective of this review article is to address these gaps by providing an in-depth study of each parameter's categorization, including the range of values, the level of input data quality, the data products generated, and the applicability of the fundamental Horton's laws. By doing so, this review aims to enhance the understanding of morphometric parameters, their value ranges, and the significance of their application in watershed analysis and management.

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流域形态计量分析:数据来源、质量和地理空间技术综合评述
形态参数分析在了解和管理流域方面起着至关重要的作用,因此是水文调查的基本组成部分。本综述论文论述了客观评估形态参数的重要性,重点是评估流域的地形、线形和面积参数。然而,本文指出,在一些研究出版物中,对每种参数缺乏明确的标准分类和含义。此外,以往的研究也没有充分考虑每个形态参数的取值范围和类别。许多论文只说明某个参数的结果值是高还是低,却没有提供具体的数值范围或相关影响。另外,需要强调的是,数字高程模型(DEM)的精度和来源会影响形态参数分析的效果,即使使用相同分辨率的 DEM 也是如此。现有文献表明,确定每个形态测量参数的值是一项重大挑战。此外,一些文章还缺乏对霍顿第一和第二定律的验证以及对形态测量参数之间相关性的评估。本综述文章的主要目的是通过深入研究每个参数的分类,包括数值范围、输入数据质量水平、生成的数据产品以及基本霍顿定律的适用性,来弥补这些不足。通过这样做,本综述旨在加深对形态计量参数、其取值范围以及在流域分析和管理中的应用意义的理解。
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