Catchment classification framework in hydrology: challenges and directions
Sivakumar, Bellie ; Singh, V.P. ; Berndtsson, Ronny LU
and Khan, Shakera K.
(2015)
In Journal of Hydrologic Engineering
20(1).
- Abstract
- The past few decades have witnessed the development of numerous catchment models, often with increasing structural complexity and mathematical sophistication. While such models have certainly provided a better understanding of catchments and associated processes, they are also often catchment-specific, region-specific, or process-specific. Serious concerns on this modeling trend have been increasingly raised in recent times and, consequently, the need for a generic catchment classification framework in hydrology has been emphasized. There have indeed been some attempts to advance the idea of such a classification framework. Such studies have investigated different ways of developing a framework, including river morphology, river regimes,... (More)
- The past few decades have witnessed the development of numerous catchment models, often with increasing structural complexity and mathematical sophistication. While such models have certainly provided a better understanding of catchments and associated processes, they are also often catchment-specific, region-specific, or process-specific. Serious concerns on this modeling trend have been increasingly raised in recent times and, consequently, the need for a generic catchment classification framework in hydrology has been emphasized. There have indeed been some attempts to advance the idea of such a classification framework. Such studies have investigated different ways of developing a framework, including river morphology, river regimes, hydroclimatic factors, landscape and land use parameters, hydrologic similarity indexes, hydrologic signatures, ecohydrologic factors, geostatistical properties, entropy, nonlinear and chaotic properties, data mining, and other relevant characteristics and methods. Although useful in their own ways, these studies are largely inadequate for a generic classification framework. In addition to the limitations that exist in each of the different forms, a coherent effort to bring these disparate forms together for a workable classification is also missing. This study highlights the challenges that the existing approaches pose in the development of a generic classification framework. It argues for an appropriate basis, a suitable methodology, and key components for such a framework. In particular, it discusses the vital role of system complexity as an appropriate basis for the classification framework and the potential of nonlinear dynamics, networks, and other modern concepts of complex systems science for assessing system complexity. The study also offers a three-step procedure for formulation and verification of a catchment classification framework. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4221639
- author
- Sivakumar, Bellie
; Singh, V.P.
; Berndtsson, Ronny
LU
and Khan, Shakera K.
- organization
- publishing date
- 2015
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Journal of Hydrologic Engineering
- volume
- 20
- issue
- 1
- publisher
- American Society of Civil Engineers (ASCE)
- external identifiers
-
- wos:000346342000001
- scopus:84921044474
- ISSN
- 1084-0699
- DOI
- 10.1061/(ASCE)HE.1943-5584.0000837
- language
- English
- LU publication?
- yes
- id
- abc53a2d-5f32-48a8-90c8-82e5cf5a9c44 (old id 4221639)
- date added to LUP
- 2016-04-01 14:50:06
- date last changed
- 2023-10-15 23:29:09
@article{abc53a2d-5f32-48a8-90c8-82e5cf5a9c44,
abstract = {{The past few decades have witnessed the development of numerous catchment models, often with increasing structural complexity and mathematical sophistication. While such models have certainly provided a better understanding of catchments and associated processes, they are also often catchment-specific, region-specific, or process-specific. Serious concerns on this modeling trend have been increasingly raised in recent times and, consequently, the need for a generic catchment classification framework in hydrology has been emphasized. There have indeed been some attempts to advance the idea of such a classification framework. Such studies have investigated different ways of developing a framework, including river morphology, river regimes, hydroclimatic factors, landscape and land use parameters, hydrologic similarity indexes, hydrologic signatures, ecohydrologic factors, geostatistical properties, entropy, nonlinear and chaotic properties, data mining, and other relevant characteristics and methods. Although useful in their own ways, these studies are largely inadequate for a generic classification framework. In addition to the limitations that exist in each of the different forms, a coherent effort to bring these disparate forms together for a workable classification is also missing. This study highlights the challenges that the existing approaches pose in the development of a generic classification framework. It argues for an appropriate basis, a suitable methodology, and key components for such a framework. In particular, it discusses the vital role of system complexity as an appropriate basis for the classification framework and the potential of nonlinear dynamics, networks, and other modern concepts of complex systems science for assessing system complexity. The study also offers a three-step procedure for formulation and verification of a catchment classification framework.}},
author = {{Sivakumar, Bellie and Singh, V.P. and Berndtsson, Ronny and Khan, Shakera K.}},
issn = {{1084-0699}},
language = {{eng}},
number = {{1}},
publisher = {{American Society of Civil Engineers (ASCE)}},
series = {{Journal of Hydrologic Engineering}},
title = {{Catchment classification framework in hydrology: challenges and directions}},
url = {{http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0000837}},
doi = {{10.1061/(ASCE)HE.1943-5584.0000837}},
volume = {{20}},
year = {{2015}},
}