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Volumn 51, Issue , 2014, Pages 323-332

Global sensitivity analysis of yield output from the water productivity model

Author keywords

AquaCrop model; EFAST; Global sensitivity analysis; Model simplification; Morris; Priority parameters

Indexed keywords

EFAST; GLOBAL SENSITIVITY ANALYSIS; MODEL SIMPLIFICATION; MORRIS; PRIORITY PARAMETERS;

EID: 84887825880     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2013.10.017     Document Type: Article
Times cited : (159)

References (43)
  • 3
    • 34147165083 scopus 로고    scopus 로고
    • An effective screening design for sensitivity analysis of large models
    • Campolongo F., Cariboni J., Saltelli A. An effective screening design for sensitivity analysis of large models. Environ. Model. Softw. 2007, 22:1509-1518.
    • (2007) Environ. Model. Softw. , vol.22 , pp. 1509-1518
    • Campolongo, F.1    Cariboni, J.2    Saltelli, A.3
  • 4
    • 0031190519 scopus 로고    scopus 로고
    • Sensitivity analysis of an environmental model an application of different analysis methods
    • Campolongo F., Saltelli A. Sensitivity analysis of an environmental model an application of different analysis methods. Reliab. Eng. Syst. Safe 1997, 57:49-69.
    • (1997) Reliab. Eng. Syst. Safe , vol.57 , pp. 49-69
    • Campolongo, F.1    Saltelli, A.2
  • 6
    • 34047232886 scopus 로고    scopus 로고
    • The role of sensitivity analysis in ecological modelling
    • Cariboni J., Gatelli D., Liska R., Saltelli A. The role of sensitivity analysis in ecological modelling. Ecol. Model. 2007, 203:167-182.
    • (2007) Ecol. Model. , vol.203 , pp. 167-182
    • Cariboni, J.1    Gatelli, D.2    Liska, R.3    Saltelli, A.4
  • 7
    • 84865061952 scopus 로고    scopus 로고
    • Use of sensitivity analysis to identify influential and non-influential parameters within an aquatic ecosystem model
    • Ciric C., Ciffroy P., Charles S. Use of sensitivity analysis to identify influential and non-influential parameters within an aquatic ecosystem model. Ecol. Model 2012, 246:119-130.
    • (2012) Ecol. Model , vol.246 , pp. 119-130
    • Ciric, C.1    Ciffroy, P.2    Charles, S.3
  • 8
    • 77954029882 scopus 로고    scopus 로고
    • Monte Carlo based sensitivity analysis of two crop simulators and considerations on model balance
    • Confalonieri R. Monte Carlo based sensitivity analysis of two crop simulators and considerations on model balance. Eur. J. Agron. 2010, 33:89-93.
    • (2010) Eur. J. Agron. , vol.33 , pp. 89-93
    • Confalonieri, R.1
  • 9
    • 77954034219 scopus 로고    scopus 로고
    • Comparison of sensitivity analysis techniques: a case study with the rice model WARM
    • Confalonieri R., Bellocchi G., Bregaglio S., Donatelli M., Acutis M. Comparison of sensitivity analysis techniques: a case study with the rice model WARM. Ecol. Model. 2010, 221:1897-1906.
    • (2010) Ecol. Model. , vol.221 , pp. 1897-1906
    • Confalonieri, R.1    Bellocchi, G.2    Bregaglio, S.3    Donatelli, M.4    Acutis, M.5
  • 10
    • 72549096256 scopus 로고    scopus 로고
    • Sensitivity analysis of the rice model WARM in Europe: exploring the effects of different locations, climates and methods of analysis on model sensitivity to crop parameters
    • Confalonieri R., Bellocchi G., Tarantola S., Acutis M., Donatelli M., Genovese G. Sensitivity analysis of the rice model WARM in Europe: exploring the effects of different locations, climates and methods of analysis on model sensitivity to crop parameters. Environ. Model. Softw. 2010, 25:479-488.
    • (2010) Environ. Model. Softw. , vol.25 , pp. 479-488
    • Confalonieri, R.1    Bellocchi, G.2    Tarantola, S.3    Acutis, M.4    Donatelli, M.5    Genovese, G.6
  • 11
    • 33644631440 scopus 로고
    • Nonlinear sensitivity analysis of kinetic mechanisms
    • Cukier R.I., Levine H.V., Shuler K.E. Nonlinear sensitivity analysis of kinetic mechanisms. Int. J. Chem. Kinet. 1978, 11:427-444.
    • (1978) Int. J. Chem. Kinet. , vol.11 , pp. 427-444
    • Cukier, R.I.1    Levine, H.V.2    Shuler, K.E.3
  • 14
    • 78349306403 scopus 로고    scopus 로고
    • Assessment of the sensitivity and prediction uncertainty of evaporation models applied to Nasser Lake, Egypt
    • Elsawwaf M., Willems P., Feyen J. Assessment of the sensitivity and prediction uncertainty of evaporation models applied to Nasser Lake, Egypt. J.Hydrol. 2010, 395:10-22.
    • (2010) J.Hydrol. , vol.395 , pp. 10-22
    • Elsawwaf, M.1    Willems, P.2    Feyen, J.3
  • 15
    • 0037303951 scopus 로고    scopus 로고
    • Sensitivity analysis of distributed environmental simulation models: understanding the model behaviour in hydrological studies at the catchment scale
    • Francos A., Elorza F.J., Bouraoui F., Bidoglio G., Galbiati L. Sensitivity analysis of distributed environmental simulation models: understanding the model behaviour in hydrological studies at the catchment scale. Reliab. Eng. Syst. Safe 2003, 79:205-218.
    • (2003) Reliab. Eng. Syst. Safe , vol.79 , pp. 205-218
    • Francos, A.1    Elorza, F.J.2    Bouraoui, F.3    Bidoglio, G.4    Galbiati, L.5
  • 18
    • 0027810117 scopus 로고
    • Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive-water disposal
    • Helton J.C. Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive-water disposal. Reliab. Eng. Syst. Safe 1993, 42:327-367.
    • (1993) Reliab. Eng. Syst. Safe , vol.42 , pp. 327-367
    • Helton, J.C.1
  • 19
    • 67249166180 scopus 로고    scopus 로고
    • Validating the FAO AquaCrop model for irrigated and water deficient field maize
    • Heng L.K., Hsiao T., Evett S., Howell T., Steduto P. Validating the FAO AquaCrop model for irrigated and water deficient field maize. Agron. J. 2009, 101:488-498.
    • (2009) Agron. J. , vol.101 , pp. 488-498
    • Heng, L.K.1    Hsiao, T.2    Evett, S.3    Howell, T.4    Steduto, P.5
  • 20
    • 67249138627 scopus 로고    scopus 로고
    • AquaCrop-the FAO crop model to simulate yield response to water: iii. Parameterization and testing for maize
    • Hsiao T.C., Heng L., Steduto P., Rojas-Lara B., Raes D., Fereres E. AquaCrop-the FAO crop model to simulate yield response to water: iii. Parameterization and testing for maize. Agron. J. 2009, 101:448-459.
    • (2009) Agron. J. , vol.101 , pp. 448-459
    • Hsiao, T.C.1    Heng, L.2    Steduto, P.3    Rojas-Lara, B.4    Raes, D.5    Fereres, E.6
  • 21
    • 33947161602 scopus 로고    scopus 로고
    • Asystematic and quantitative approach to improve water use efficiency in agriculture
    • Hsiao T.C., Steduto P., Fereres E. Asystematic and quantitative approach to improve water use efficiency in agriculture. Irrig. Sci. 2007, 25:209-231.
    • (2007) Irrig. Sci. , vol.25 , pp. 209-231
    • Hsiao, T.C.1    Steduto, P.2    Fereres, E.3
  • 22
    • 33645947036 scopus 로고    scopus 로고
    • Ten iterative steps in development and evaluation of environmental models
    • Jakeman A.J., Letcher R.A., Norton J.P. Ten iterative steps in development and evaluation of environmental models. Environ. Model. Softw. 2006, 21:602-614.
    • (2006) Environ. Model. Softw. , vol.21 , pp. 602-614
    • Jakeman, A.J.1    Letcher, R.A.2    Norton, J.P.3
  • 23
    • 0026867474 scopus 로고
    • Ageneral, process-oriented model for 2 competing plant-species
    • Kiniry J.R., Williams J.R., Gassman P.W., Debaeke P. Ageneral, process-oriented model for 2 competing plant-species. Trans. ASAE 1992, 35:801-810.
    • (1992) Trans. ASAE , vol.35 , pp. 801-810
    • Kiniry, J.R.1    Williams, J.R.2    Gassman, P.W.3    Debaeke, P.4
  • 24
    • 33745947003 scopus 로고    scopus 로고
    • Global sensitivity analysis for calculating the contribution of genetic parameters to the variance of crop model prediction
    • Makowski D., Naud C., Jeuffroy M.-H., Barbottin A., Monod H. Global sensitivity analysis for calculating the contribution of genetic parameters to the variance of crop model prediction. Reliab. Eng. Syst. Safe 2006, 91:1142-1147.
    • (2006) Reliab. Eng. Syst. Safe , vol.91 , pp. 1142-1147
    • Makowski, D.1    Naud, C.2    Jeuffroy, M.-H.3    Barbottin, A.4    Monod, H.5
  • 25
    • 84862153502 scopus 로고    scopus 로고
    • Aworkflow for global sensitivity analysis of PBPK models
    • McNally K., Cotton R., Loizou G.D. Aworkflow for global sensitivity analysis of PBPK models. Front. Pharmacol. 2011, 2.
    • (2011) Front. Pharmacol. , vol.2
    • McNally, K.1    Cotton, R.2    Loizou, G.D.3
  • 26
    • 84952096573 scopus 로고
    • Factorial sampling plans for preliminary computational experiments
    • Morris M.D. Factorial sampling plans for preliminary computational experiments. Technometrics 1991, 33:161-174.
    • (1991) Technometrics , vol.33 , pp. 161-174
    • Morris, M.D.1
  • 27
    • 0014776873 scopus 로고
    • River flow forecasting through conceptual models part I - a discussion of principles
    • Nash J.E., Sutcliffe J.V. River flow forecasting through conceptual models part I - a discussion of principles. J.Hydrol. 1970, 10:282-290.
    • (1970) J.Hydrol. , vol.10 , pp. 282-290
    • Nash, J.E.1    Sutcliffe, J.V.2
  • 28
    • 84855480304 scopus 로고    scopus 로고
    • Sensitivity of crop model predictions to entire meteorological and soil input datasets highlights vulnerability to drought
    • Pogson M., Hastings A., Smith P. Sensitivity of crop model predictions to entire meteorological and soil input datasets highlights vulnerability to drought. Environ. Model. Softw. 2012, 29:37-43.
    • (2012) Environ. Model. Softw. , vol.29 , pp. 37-43
    • Pogson, M.1    Hastings, A.2    Smith, P.3
  • 29
    • 0030810587 scopus 로고    scopus 로고
    • Fisheries stock assessment and decision analysis: the Bayesian approach
    • Punt A.E., Hilborn R. Fisheries stock assessment and decision analysis: the Bayesian approach. Rev. Fish Biol. Fish 1997, 7:35-63.
    • (1997) Rev. Fish Biol. Fish , vol.7 , pp. 35-63
    • Punt, A.E.1    Hilborn, R.2
  • 30
    • 65849118417 scopus 로고    scopus 로고
    • AquaCrop-the FAO crop model to simulate yield response to water: ii. Main algorithms and software description
    • Raes D., Steduto P., Hsiao T.C., Fereres E. AquaCrop-the FAO crop model to simulate yield response to water: ii. Main algorithms and software description. Agron. J. 2009, 101:438-447.
    • (2009) Agron. J. , vol.101 , pp. 438-447
    • Raes, D.1    Steduto, P.2    Hsiao, T.C.3    Fereres, E.4
  • 32
    • 73349132974 scopus 로고    scopus 로고
    • Sensitivity analysis for a complex crop model applied to Durum wheat in the Mediterranean
    • Richter G.M., Acutis M., Trevisiol P., Latiri K., Confalonieri R. Sensitivity analysis for a complex crop model applied to Durum wheat in the Mediterranean. Eur. J. Agron. 2010, 32:127-136.
    • (2010) Eur. J. Agron. , vol.32 , pp. 127-136
    • Richter, G.M.1    Acutis, M.2    Trevisiol, P.3    Latiri, K.4    Confalonieri, R.5
  • 33
    • 78650532321 scopus 로고    scopus 로고
    • How to avoid a perfunctory sensitivity analysis
    • Saltelli A., Annoni P. How to avoid a perfunctory sensitivity analysis. Environ. Model. Softw. 2010, 25:1508-1517.
    • (2010) Environ. Model. Softw. , vol.25 , pp. 1508-1517
    • Saltelli, A.1    Annoni, P.2
  • 34
    • 0001244976 scopus 로고    scopus 로고
    • Sensitivity analysis as an ingredient of modeling
    • Saltelli A., Tarantola S., Campolongo F. Sensitivity analysis as an ingredient of modeling. Stat. Sci. 2000, 15:377-395.
    • (2000) Stat. Sci. , vol.15 , pp. 377-395
    • Saltelli, A.1    Tarantola, S.2    Campolongo, F.3
  • 35
    • 0033079533 scopus 로고    scopus 로고
    • Aquantitative model-independent method for global sensitivity analysis of model output
    • Saltelli A., Tarantola S., Chan K.P.S. Aquantitative model-independent method for global sensitivity analysis of model output. Technometrics 1999, 41:39-56.
    • (1999) Technometrics , vol.41 , pp. 39-56
    • Saltelli, A.1    Tarantola, S.2    Chan, K.P.S.3
  • 36
    • 84884721323 scopus 로고    scopus 로고
    • Addressing ten questions about conceptual rainfall-runoff models with global sensitivity analyses in R
    • Shin M.-J., Guillaume J.H.A., Croke B.F.W., Jakeman A.J. Addressing ten questions about conceptual rainfall-runoff models with global sensitivity analyses in R. J.Hydrol. 2013, 503:135-152.
    • (2013) J.Hydrol. , vol.503 , pp. 135-152
    • Shin, M.-J.1    Guillaume, J.H.A.2    Croke, B.F.W.3    Jakeman, A.J.4
  • 37
    • 84875761620 scopus 로고    scopus 로고
    • Cereal yield stabilization in Terai (Nepal) by water and soil fertility management modeling
    • Shrestha N., Raes D., Vanuytrecht E., Sah S.K. Cereal yield stabilization in Terai (Nepal) by water and soil fertility management modeling. Agric. Water Manag 2013, 122:53-62.
    • (2013) Agric. Water Manag , vol.122 , pp. 53-62
    • Shrestha, N.1    Raes, D.2    Vanuytrecht, E.3    Sah, S.K.4
  • 38
    • 65849155515 scopus 로고    scopus 로고
    • AquaCrop-The FAO crop model to simulate yield response to water: i. Concepts and underlying principles
    • Steduto P., Hsiao T.C., Raes D., Fereres E. AquaCrop-The FAO crop model to simulate yield response to water: i. Concepts and underlying principles. Agron. J. 2009, 101:426-437.
    • (2009) Agron. J. , vol.101 , pp. 426-437
    • Steduto, P.1    Hsiao, T.C.2    Raes, D.3    Fereres, E.4
  • 39
    • 84861211581 scopus 로고    scopus 로고
    • Three complementary methods for sensitivity analysis of a water quality model
    • Sun X.Y., Newham L.T.H., Croke B.F.W., Norton J.P. Three complementary methods for sensitivity analysis of a water quality model. Environ. Model. Softw. 2012, 37:19-29.
    • (2012) Environ. Model. Softw. , vol.37 , pp. 19-29
    • Sun, X.Y.1    Newham, L.T.H.2    Croke, B.F.W.3    Norton, J.P.4
  • 40
    • 84858285200 scopus 로고    scopus 로고
    • Unravelling crop water productivity of tef (Eragrostis Tef (Zucc.) Trotter) through AquaCrop in Northern Ethiopia
    • Tsegay A., Raes D., Geerts S., Vanuytrecht E., Abrha B., Deckers J., Bauer H., Gebrehiwot K. Unravelling crop water productivity of tef (Eragrostis Tef (Zucc.) Trotter) through AquaCrop in Northern Ethiopia. Exp. Agric. 2012, 48(2):222-237.
    • (2012) Exp. Agric. , vol.48 , Issue.2 , pp. 222-237
    • Tsegay, A.1    Raes, D.2    Geerts, S.3    Vanuytrecht, E.4    Abrha, B.5    Deckers, J.6    Bauer, H.7    Gebrehiwot, K.8
  • 41
    • 84881009409 scopus 로고    scopus 로고
    • Parameter sensitivity analysis of crop growth models based on the extended Fourier amplitude sensitivity test method
    • Wang J., Li X., Lu L., Fang F. Parameter sensitivity analysis of crop growth models based on the extended Fourier amplitude sensitivity test method. Environ. Model. Softw. 2013, 48:171-182.
    • (2013) Environ. Model. Softw. , vol.48 , pp. 171-182
    • Wang, J.1    Li, X.2    Lu, L.3    Fang, F.4
  • 42
    • 84860167407 scopus 로고    scopus 로고
    • Model uncertainty analysis by variance decomposition
    • Willems P. Model uncertainty analysis by variance decomposition. Phys. Chem. Earth 2012, 42-44:21-30.
    • (2012) Phys. Chem. Earth , vol.42-44 , pp. 21-30
    • Willems, P.1


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