流域特征对降雨径流分析和水文模型选择的影响综述

Aparna S. Nagure, S. Shahapure
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引用次数: 1

摘要

在过去的几十年里,降雨径流分析和建模已经成为大量研究活动的主题,并且开发了一系列类型的模型,以便提前预测径流以避免洪水造成的巨大损失。然而,所有这些研究活动都集中在模型的结果和准确性以及它们的比较研究上。在什么条件下,哪种模式是最好的,这往往是不清楚的。有必要根据流域的物理/化学/生物特性选择合适的降雨-径流模型。本文选取流域的重要特征之一——案例研究区域的大小作为参数,了解其如何影响模型的选择。为了理解这一点,研究人员根据流域规模、气候条件和用于降雨径流分析的模型类型,对2000年至2019年发表的42篇研究论文进行了回顾和分类。研究结果表明,在250 ~ 10000 km2的流域范围内,主要采用黑箱模型或数据驱动模型。同样,在中型流域地区进行了最大限度的工作。
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Effect of Watershed Characteristics on a Rainfall Runoff Analysis and Hydrological Model Selection - A review
The rainfall-runoff analysis and modeling have been the subject of a large number of research activities and a range of types of models have been developed in the last few decades, to predict the runoff well in advance to avoid the huge amount of losses due to floods. However, all these research activities are focused on the result and accuracy of models and their comparative study. It often remains unclear which model is best under which conditions. It is necessary to select the appropriate rainfall-runoff model for the watershed area according to its physical/chemical/biological characteristics. In this paper, one of the significant characteristics of the watershed that is the size of the case study area is selected as a parameter to understand how it affects the selection of the model. To understand this, 42 research papers published between 2000 to 2019 have been reviewed and categorized according to the size of the watershed, climatic conditions, and type of models used for rainfall-runoff analysis. The result obtained indicates that for major research work, black box models or data-driven models have been used for the watershed of size ranging between 250 km2 to 10000 km2. Similarly, maximum work is carried out for medium size watershed areas.
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