globalchange  > 气候变化事实与影响
DOI: 10.5194/hess-21-5971-2017
Scopus记录号: 2-s2.0-85036639645
论文题名:
On the value of water quality data and informative flow states in karst modelling
作者: Hartmann A; , Antonio Barberá J; , Andreo B
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期:12
起始页码: 5971
结束页码: 5985
语种: 英语
Scopus关键词: Climate change ; Digital storage ; Groundwater ; Land use ; Landforms ; Water management ; Water quality ; Discharge observations ; Groundwater process ; Hydrological models ; Karst water resources ; Model parameter sets ; Parameter identifiability ; Resource availability ; Value of information ; Water resources ; discharge ; groundwater ; hydrological modeling ; karst ; land use change ; resource availability ; resource management ; river discharge ; river water ; unsaturated flow ; vadose zone ; water quality ; water resource ; Spain
英文摘要: If properly applied, karst hydrological models are a valuable tool for karst water resource management. If they are able to reproduce the relevant flow and storage processes of a karst system, they can be used for prediction of water resource availability when climate or land use are expected to change. A common challenge to apply karst simulation models is the limited availability of observations to identify their model parameters. In this study, we quantify the value of information when water quality data (NO3ĝ' and SO42ĝ') is used in addition to discharge observations to estimate the parameters of a process-based karst simulation model at a test site in southern Spain. We use a three-step procedure to (1) confine an initial sample of 500ĝ€000 model parameter sets by discharge and water quality observations, (2) identify alterations of model parameter distributions through the confinement, and (3) quantify the strength of the confinement for the model parameters. We repeat this procedure for flow states, for which the system discharge is controlled by the unsaturated zone, the saturated zone, and the entire time period including times when the spring is influenced by a nearby river. Our results indicate that NO3ĝ' provides the most information to identify the model parameters controlling soil and epikarst dynamics during the unsaturated flow state. During the saturated flow state, SO42ĝ' and discharge observations provide the best information to identify the model parameters related to groundwater processes. We found reduced parameter identifiability when the entire time period is used as the river influence disturbs parameter estimation. We finally show that most reliable simulations are obtained when a combination of discharge and water quality date is used for the combined unsaturated and saturated flow states. © Author(s) 2017.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78981
Appears in Collections:气候变化事实与影响

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作者单位: Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany; Department of Civil Engineering, University of Bristol, Bristol, United Kingdom; Department of Geology and Centre of Hydrogeology, University of Malaga (CEHIUMA), Malaga, Spain

Recommended Citation:
Hartmann A,, Antonio Barberá J,, Andreo B. On the value of water quality data and informative flow states in karst modelling[J]. Hydrology and Earth System Sciences,2017-01-01,21(12)
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