The CLASS Modelling Framework: A platform for distributed eco-hydrological modelling

被引:0
|
作者
Tuteja, N. K. [1 ]
Vaze, J. [1 ]
Teng, J. [1 ]
机构
[1] NSW Dept Nat Resources, Queanbeyan, Australia
关键词
CLASS; U3M-1D; U3M-2D; PGM; CGM; 3PG+; Spatial Analyst; BALANCE; WATER;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper describes development and testing of the components of a distributed eco-hydrological modelling framework CLASS (Catchment Scale Multiple-Landuse Atmosphere Soil Water and Solute Transport Model). The CLASS modelling framework, its components and their algorithms are described in a detailed technical report (Tuteja et al., 2004; available for download from Catchment Modelling Toolkit website http://www.toolkit.net.au/class). CLASS can be used to predict land-use effects at paddock, hillslope and catchment scales. Effects of climate scenarios predicted by stochastic climate models as well as the effects of spatio-temporal climate variations within a catchment can also be analysed. CLASS can be used for water balance, solute balance, vegetation growth and terrain modelling. Recharge-discharge dynamics, lateral flow and streamflow can also be modelled using CLASS. CLASS uses "bottom-up" modelling approach and offers an alternative to the commonly used simple "top down" modelling approaches. Distinctive features of CLASS include grid cell based analysis and the ability to allow for interactions within the model structure between energy (turbulent and radiation exchange), vertical and horizontal redistribution of soil moisture, plant growth, surface and groundwater fluxes, transport of conservative solutes and streamflow routing. Sufficient tools and databases exist in the CLASS framework that can be used for generating the information generally not available for catchment scale implementations (eg. flow path, soil depth, climate zoning, pedotransfer functions etc.). Tools in the CLASS modelling framework can be implemented easily at the hillslope scale. However, at the catchment scale, CLASS is a computationally demanding modelling approach and requires good understanding of the modelling concepts. New South Wales Department of Natural Resources has developed the CLASS framework. The work formed part of the Cooperative Research Centre for Catchment Hydrology (CRCCH) Associate Project. CLASS is supported by a windows based user friendly graphical users interface (GUI). It is fully object oriented and has been developed on Microsoft. Net platform. Considerable effort has been made in representing vegetation growth as well as in the pathways that water takes from hillslope to stream. The framework consists of seven tools of which three are available for free download from the CRCCH Catchment Modelling Toolkit website (about 430 downloads to date). Three other CLASS modelling tools would be available through the Toolkit web site by December 2005 and the catchment model would be available by June 2006. All modelling tools in the CLASS framework (with the exception of 3PG+) have been developed as an integral part of CLASS using comprehensive and published scientific methods. State of the art numerical, scientific and software development technologies have been used. CLASS has been peer reviewed by experts in distributed eco-hydrological modelling.
引用
收藏
页码:718 / 724
页数:7
相关论文
共 50 条
  • [1] Integrating water resources management in eco-hydrological modelling
    Koch, H.
    Liersch, S.
    Hattermann, F. F.
    WATER SCIENCE AND TECHNOLOGY, 2013, 67 (07) : 1525 - 1533
  • [2] A simplified approach to implement forest eco-hydrological properties in regional hydrological modelling
    Wattenbach, M
    Hattermann, F
    Weng, R
    Wechsung, F
    Krysanova, V
    Badeck, F
    ECOLOGICAL MODELLING, 2005, 187 (01) : 40 - 59
  • [3] A distributed eco-hydrological model and its application
    Zong-xue Xu
    Lei Li
    Jie Zhao
    Water Science and Engineering, 2017, 10 (04) : 257 - 264
  • [4] The Crop Generator: Implementing crop rotations to effectively advance eco-hydrological modelling
    Sietz, Diana
    Conradt, Tobias
    Krysanova, Valentina
    Hattermann, Fred F.
    Wechsung, Frank
    AGRICULTURAL SYSTEMS, 2021, 193
  • [5] Eco-hydrological modelling of channel network dynamics-part 2: application to metapopulation dynamics
    Bertassello, Leonardo E. E.
    Durighetto, Nicola
    Botter, Gianluca
    ROYAL SOCIETY OPEN SCIENCE, 2022, 9 (11):
  • [6] Modelling vegetation dynamics for future climates in Australian catchments: Comparison of a conceptual eco-hydrological modelling approach with a deep learning alternative
    Zou, Hui
    Marshall, Lucy
    Sharma, Ashish
    Jian, Jie
    Stephens, Clare
    Higgins, Philippa
    ENVIRONMENTAL MODELLING & SOFTWARE, 2024, 181
  • [7] Eco-hydrological modelling in a highly regulated lowland catchment to find measures for improving water quality
    Hesse, Cornelia
    Krysanova, Valentina
    Paezolt, Jens
    Hattermann, Fred F.
    ECOLOGICAL MODELLING, 2008, 218 (1-2) : 135 - 148
  • [8] EstSoil-EH: a high-resolution eco-hydrological modelling parameters dataset for Estonia
    Kmoch, Alexander
    Kanal, Arno
    Astover, Alar
    Kull, Ain
    Virro, Holger
    Helm, Aveliina
    Partel, Meelis
    Ostonen, Ivika
    Uuemaa, Evelyn
    EARTH SYSTEM SCIENCE DATA, 2021, 13 (01) : 83 - 97
  • [9] Evaluation of Sentinel-1, SMAP and SMOS surface soil moisture products for distributed eco-hydrological modelling in Mediterranean forest basins
    Gomis-Cebolla, Jose
    Garcia-Arias, Alicia
    Perpinya-Valles, Marti
    Frances, Felix
    JOURNAL OF HYDROLOGY, 2022, 608
  • [10] Building an eco-hydrological framework for the management of large river systems
    Schiemer, Fritz
    ECOHYDROLOGY & HYDROBIOLOGY, 2016, 16 (01) : 19 - 25