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Application of modern geomorphic concepts for understanding the spatio-temporal complexity of the large Ganga river dispersal system.

机译:应用现代地貌学概念理解大型恒河分散系统的时空复杂性。

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Significant advances have been made towards understanding the dynamics of geomorphic systems through the development of new concepts. In the last two decades, these developments were partly guided by the change in the scale of geomorphic analysis from local (landform) to regional (landscape) scale and partly due to the emergence of new scientific tools and quantitative models. The process-based understanding of some geomorphic systems of the Indian subcontinent has also advanced in a significant way and a substantial dataset is now available, especially on the Ganga river system. However, conceptual advancements in geomorphic studies have not been incorporated with the available database on large river systems, especially the Ganga river basin. This article attempts to provide a brief review of geomorphic concepts, i.e. scale, magnitude- frequency, equilibrium, threshold, hierarchy, sensitivity, connectivity, nonlinearity, complexity and multidisciplinarity, and their application for understanding the geomorphology of a large river system, i.e. the Ganga river system. This re-evaluation and synthesis of the geomorphic data of the Ganga riverscape provides useful insights into the dynamics of this multi-scale dispersal system, and thereby also helps in the identification of gaps in knowledge that need to be addressed on a priority basis. The major gaps at longer timescales (103-105 years) include lack of understanding of connectivity in river response to external forcing, the quantification of threshold of geomorphic change, and the integration of data across scales in terms of forms and processes. At modern timescale, the major challenge is to integrate the geomorphic dataset with ecological and hydrological attributes in order to develop a holistic understanding of rivers for their management.
机译:通过开发新概念,在理解地貌系统的动力学方面取得了重大进展。在过去的二十年中,这些发展部分受到地貌分析规模从局部(地形)到区域(景观)规模变化的引导,部分是由于新的科学工具和定量模型的出现。对印度次大陆某些地貌系统的基于过程的理解也得到了很大的发展,并且现在可以获得大量的数据集,尤其是在恒河系统上。但是,地貌研究的概念进展尚未与大型河流系统(尤其是恒河流域)的可用数据库结合。本文试图简要回顾地貌概念,即规模,幅度-频率,平衡,阈值,等级,灵敏度,连通性,非线性,复杂性和多学科性,及其在理解大型河流系统地貌方面的应用,即恒河水系。恒河景观的地貌数据的重新评估和综合为这种多尺度分散系统的动力学提供了有用的见解,因此也有助于确定需要优先解决的知识空白。较长时间尺度(10 3 -10 5 年)上的主要差距包括对河流对外部强迫响应的连通性缺乏了解,对地貌变化阈值的量化以及在形式和过程方面跨规模的数据集成。在现代时间尺度上,主要挑战是将地貌数据集与生态和水文属性相结合,以便对河流进行整体管理。

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