Rainfall runoff modelling of the Upper Ganga and Brahmaputra basins using PERSiST.
Rainfall runoff modelling of the Upper Ganga and Brahmaputra basins using PERSiST.
复制标题
使用 PERSiST 对恒河上游和雅鲁藏布江盆地的降雨径流进行建模。
DOI:
10.1039/c4em00613e
复制
发表时间:
2015
期刊:
影响因子:
--
通讯作者:
Futter MN
中科院分区:
文献类型:
--
作者:
Futter MN
There are ongoing discussions about the appropriate level of complexity and sources of uncertainty in rainfall runoff models. Simulations for operational hydrology, flood forecasting or nutrient transport all warrant different levels of complexity in the modelling approach. More complex model structures are appropriate for simulations of land-cover dependent nutrient transport while more parsimonious model structures may be adequate for runoff simulation. The appropriate level of complexity is also dependent on data availability. Here, we use PERSiST; a simple, semi-distributed dynamic rainfall-runoff modelling toolkit to simulate flows in the Upper Ganges and Brahmaputra rivers. We present two sets of simulations driven by single time series of daily precipitation and temperature using simple (A) and complex (B) model structures based on uniform and hydrochemically relevant land covers respectively. Models were compared based on ensembles of Bayesian Information Criterion (BIC) statistics. Equifinality was observed for parameters but not for model structures. Model performance was better for the more complex (B) structural representations than for parsimonious model structures. The results show that structural uncertainty is more important than parameter uncertainty. The ensembles of BIC statistics suggested that neither structural representation was preferable in a statistical sense. Simulations presented here confirm that relatively simple models with limited data requirements can be used to credibly simulate flows and water balance components needed for nutrient flux modelling in large, data-poor basins.
登录
查看更多内容
DOI:
10.1039/c5em00092k
发表时间:
2015
期刊:
Environmental science. Processes & impacts
影响因子:
--
作者:
Jin L
通讯作者:
Jin L
影响因子:
6.8
作者:
AKAIKE, H
通讯作者:
AKAIKE, H
DOI:
--
发表时间:
2012
期刊:
影响因子:
--
作者:
M. Futter;J. Klaminder;R. W. Lucas;H. Laudon;S. Köhler
通讯作者:
S. Köhler
DOI:
10.1039/c4em00619d
发表时间:
2015-06
期刊:
Environmental science. Processes & impacts
影响因子:
--
作者:
P. Whitehead;Emily Barbour;M. Futter;S. Sarkar;H. Rodda;J. Caesar;D. Butterfield;Li Jin;Rajiv Sinha;Robert J. Nicholls;M. Salehin
通讯作者:
P. Whitehead;Emily Barbour;M. Futter;S. Sarkar;H. Rodda;J. Caesar;D. Butterfield;Li Jin;Rajiv Sinha;Robert J. Nicholls;M. Salehin
DOI:
--
发表时间:
1994
期刊:
影响因子:
--
作者:
A. Jakeman;G. Hornberger
通讯作者:
G. Hornberger