Modelling uncertainty in estimates of recharge to a shallow coastal aquifer.

Lancaster Environment Centre

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Modelling uncertainty in estimates of recharge to a shallow coastal aquifer. / Binley, Andrew M.; Buckley, Kevin M.; Calore, Cinzia et al.
In: Hydrological Sciences Journal, Vol. 42, No. 2, 04.1997, p. 155-168.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Binley, AM, Buckley, KM, Calore, C, Parodi, U & La Barbera, P 1997, 'Modelling uncertainty in estimates of recharge to a shallow coastal aquifer.', Hydrological Sciences Journal, vol. 42, no. 2, pp. 155-168. <http://www.cig.ensmp.fr/~iahs/hsj/420/hysj_42_02_0155.pdf>

APA

Binley, A. M., Buckley, K. M., Calore, C., Parodi, U., & La Barbera, P. (1997). Modelling uncertainty in estimates of recharge to a shallow coastal aquifer. Hydrological Sciences Journal, 42(2), 155-168. http://www.cig.ensmp.fr/~iahs/hsj/420/hysj_42_02_0155.pdf

Vancouver

Binley AM, Buckley KM, Calore C, Parodi U, La Barbera P. Modelling uncertainty in estimates of recharge to a shallow coastal aquifer. Hydrological Sciences Journal. 1997 Apr;42(2):155-168.

Author

Binley, Andrew M. ; Buckley, Kevin M. ; Calore, Cinzia et al. / Modelling uncertainty in estimates of recharge to a shallow coastal aquifer. In: Hydrological Sciences Journal. 1997 ; Vol. 42, No. 2. pp. 155-168.

Bibtex

@article{24367a1525f345a09747e4c8b76f1cdd,

title = "Modelling uncertainty in estimates of recharge to a shallow coastal aquifer.",

abstract = "Due to the difficulty of field characterization, one is often forced to employ hydrological models in order to determine estimates of aquifer recharge. A Geographical Information System (GIS) and Digital Elevation Model (DEM) may provide the basic support for such hydrological models. Unfortunately, despite the availability of these tools, the values of many parameters within distributed models remain uncertain for application to real world problems. Using the Bisagno basin (100km2) in the Liguria region of Italy, the role of model parameter uncertainty on estimates of recharge to the Bisagno Aquifer is demonstrated. Uncertainty estimation is achieved through Monte Carlo simulations with the aid of the Generalised Likelihood Uncertainty Estimation procedure of Beven & Binley (1992).",

author = "Binley, {Andrew M.} and Buckley, {Kevin M.} and Cinzia Calore and Ulderica Parodi and {La Barbera}, Paolo",

year = "1997",

month = apr,

language = "English",

volume = "42",

pages = "155--168",

journal = "Hydrological Sciences Journal",

issn = "0262-6667",

publisher = "TAYLOR & FRANCIS LTD",

number = "2",

}

RIS

TY - JOUR

T1 - Modelling uncertainty in estimates of recharge to a shallow coastal aquifer.

AU - Binley, Andrew M.

AU - Buckley, Kevin M.

AU - Calore, Cinzia

AU - Parodi, Ulderica

AU - La Barbera, Paolo

PY - 1997/4

Y1 - 1997/4

N2 - Due to the difficulty of field characterization, one is often forced to employ hydrological models in order to determine estimates of aquifer recharge. A Geographical Information System (GIS) and Digital Elevation Model (DEM) may provide the basic support for such hydrological models. Unfortunately, despite the availability of these tools, the values of many parameters within distributed models remain uncertain for application to real world problems. Using the Bisagno basin (100km2) in the Liguria region of Italy, the role of model parameter uncertainty on estimates of recharge to the Bisagno Aquifer is demonstrated. Uncertainty estimation is achieved through Monte Carlo simulations with the aid of the Generalised Likelihood Uncertainty Estimation procedure of Beven & Binley (1992).

AB - Due to the difficulty of field characterization, one is often forced to employ hydrological models in order to determine estimates of aquifer recharge. A Geographical Information System (GIS) and Digital Elevation Model (DEM) may provide the basic support for such hydrological models. Unfortunately, despite the availability of these tools, the values of many parameters within distributed models remain uncertain for application to real world problems. Using the Bisagno basin (100km2) in the Liguria region of Italy, the role of model parameter uncertainty on estimates of recharge to the Bisagno Aquifer is demonstrated. Uncertainty estimation is achieved through Monte Carlo simulations with the aid of the Generalised Likelihood Uncertainty Estimation procedure of Beven & Binley (1992).

M3 - Journal article

VL - 42

SP - 155

EP - 168

JO - Hydrological Sciences Journal

JF - Hydrological Sciences Journal

SN - 0262-6667

IS - 2

ER -

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