Documentation of selected constructs and parameter values in the aquatic model cleaner

Scavia, Donald; Park, Richard A.

doi:10.1016/0304-3800(76)90005-3

Cited by 48 publications

(14 citation statements)

References 25 publications

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“…Patten 1968). A partial list sf modern mass balance type modcls and their derivatives would include Bierman 1976), Bierman andBolan (19761, Canalc andSquire (1976), Cloern (19781, Desol-rneaer (1978), DiToro et al 6 1971), Groden (1977), Halforn and Lam (197$), Ikeda and Adacki ( 19781, Imboden (1 974)-Imboden and Giichter 6 1978), J~rgensen ( 1976), Jdrgensen et al (1978), (1978), Nyholm (1978h), Park (1978), Park et al (1974Park et al ( , 1975Park et al ( , 1979, Scavia and Park (1976), Siinons (11976), Snodgrass and O'Melia ( 1975) , Steele ( 1 958, 1974b), Thsmann et al (1974aThsmann et al ( , b, 1975Thsmann et al ( , 1976Thsmann et al ( . 1977, Wnlsh ( 1975), IValqh and Dugdale ( 197 I ) , Youngberg ( 1977).…”

Section: Modelsmentioning

confidence: 96%

Temporal and Spatial Scales in Phytoplankton Ecology. Mechanisms, Methods, Models, and Management

Harris¹

1980

Can. J. Fish. Aquat. Sci.

293

129

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Depcarfrnurzf of Biology, Mcil4usfer fiiversify, Hamilfort, Onr. HARRIS, G. P. 1980. Temporal and spatial scales in phytoplankton eco1ogy. Mechanisms, methods, models, and management. Can. 3. Fish. Aquat. Sci. 319: 879-900.This article is essentially a review of the temporal and spatial scales iaf variability in both marine and freshwater planktonic environnlents and the algal responses to those scales. I assert that therc are problerns with our present understanding of thew scales and the use of imapprapriate assumptions concerming the occurrence of steady-state conditions. In a nonsteady-state environment the concepts of limiting nutrients must be changed, and the extrapolation from culture to field conditions is fraught with problems. In this paper I revlew the evidence for the existence and importance of small-scale, high frequency and large-scale, Ic~w frequency variation in the planktonic environment and show that mach variation fu~~darnentalIy affects our understanding of existing processes. Methodology and models nalust also reflect the true scales of variability which exist. I show that there are, at present, problems with our understanding of planktonic processes which greatly atfect our ability to manage water qaaality. New concepts and models are urgently needed. Finally I propose a ncw model of community structure and process in variable envircrn~nents which accoaants for the correct 'algal' scales of perturbation and response and allows certain predictions to be mads. I t is possible to reconcile certain problems and controversies i~, the literature by the use of such a model. An enhanced ahi1ity lo manage planktonic systerns should result from an improved understanding of the true scales of variability which exist. HARRIS, G. lB. 1980. Temporal and spatial scales in phytoplankton ecology. Mechanisms, naethods, n~odels, and management. Can. J. Fish. Aquat. Sci. 37: $77-900.Le prksent article est essentiellernent urie revue des echelles de variabilile temporelle et spatiale dans des environnements tant marins que d'eau douce et lies rkponses algaies 2 ces echelles. Je soaltiens que notre csmpr6hensiora actiielle de ccs Cchelles ek B'utilisation d'hypothises inapproprikes concernant l'occurrence de conditions dVCcluilibr-e laissent B dksirer. Dans un environraement nons en Cyuilibre, il fauiira modifier les notions d76I6ments nutritifs limitatifs, el l'extrapolation cle conditions d'Clevage B des coilditions sur le terrain est pleine de danger. Je passe ici en revue les preuvcs de I'existcnce et de B'importance d'une petite @cheile, d'une haute frkcjuence ct grande kchelle et er~fin d'une variation h faible frtquence de I'enviroianememt pla~~ctonique; je d h s n t r e de plus qti'rane telk variation affecte fc~ratiamentalcment notre cornpr6hension des processus actuels. La rnClhodologie et Ics rnodkles doivent arlssi seflCter les kclmelles de varlabilitc qui existent dans la rCalitC. Je dri-rnontrc l'existence cle problkmes aoklchant notre compr6hension des processus planctoniq~ies, influant granderrl...

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Section: Modelsmentioning

confidence: 96%

Temporal and Spatial Scales in Phytoplankton Ecology. Mechanisms, Methods, Models, and Management

Harris¹

1980

Can. J. Fish. Aquat. Sci.

293

129

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“…Photosynthetic production of oxygen is related stoichiometrically to phytoplankton growth, while dissolved oxygen utilization by respiration ofthe various organisms in the pond is normally calculated as a function of growth rate and organism concentration (Chen & Orlob 1975;Scavia & Park 1976;Zison etal. 1978;Meyer 1980;Jorgensen 1983).…”

Section: Nutrient Limitation = Nutrient Concentration/(nutrient Concementioning

confidence: 99%

Introduction to computer modeling of aquaculture pond ecosystems

Piedrahita

1988

Aquaculture Res

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The application of computer modeling to the study of aquaculture ponds is reviewed. Two basic types of models are identified: empirical and mechanistic. In empirical models, the pond system is treated as a ‘black box’, and the relationship between inputs and outputs is determined by statistical analysis of data. In mechanistic models (‘internally descriptive’), processes taking place within the pond are identified and described mathematically. A framework for the development of a mechanistic model of an aquacullure pond is presented. Sample formulations for some critical variables are discussed.

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“…This formulation, which is mathematically analogous to resistors in series, is contrary to Liebig's law of the minimum which states that the yield of a plant is determined by the nutrient in minimum supply relative to the needs of the plant (Droop, 1973;Rodhe, 1978). However, Scavia and Park (1976) felt that adaptation and species replacement in natural assemblages of phytoplankton moderate the limiting effect of any particular nutrient or assemblage of nutrients. The use of the mutliple nutrient limitation construct is still a controversial subject and has yet to be resolved (cf.…”

Section: Phytoplankton Growthmentioning

confidence: 99%

Application of Lavsoe, an Eutrophication Model, to Bloemhof Dam

Rossouw¹

1987

Journal of the Limnological Society of Southern Africa

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In 1982 the Department of Water Affairs introduced an effluent phosphate standard of 1 mg b 2 (as P) in seven potentially sensitive catchments. Although this is an uniform standard, permits can be granted for effluents to exceed the standard in cases where it can be shown that the impact of the effluent on the water environment will be negligible. This policy requires the ability to predict the trophic response of waterbodies to different P loads. W o types of models were evaluated for this purpose; i.e., simple mass balance models and complex ecological models. This paper reports the results of a study undertaken to evaluate one of the complex ecological models.The LAVSOE model, an eutrophication model for shallow lakes which was developed in Denmark, was evaluated as a management tool for the control of eutrophication at Bloemhof Dam.To ensure that the basic underlying principles of LAVSOE were well understood and the assumptions not violated, the evaluation of LAVSOE followed the same procedure as model development; i.e., model construction check, a pfiori sensitivity analysis, calibration and verification.The aim of the model construction check was to assure that the model did what it was designed to do after it was transferred onto the Water Affairs mainframe. During this phase two additional features were added to LAVSOE to accomnodate South African conditions.The aim of the u sensitivity analysis was to rank the parameters in order of sensitivity .The model was calibrated by means of a trial-and-error procedure because it was simple and had heuristic value. LAVSOE could not be calibrated successfully for simulating the observed nutrient dynamics and phytoplankton growth in Bloemhof Dam.In this paper, the main structure and the major processes of the LAVSOE model are introduced. The results of the sensitivity analysis and the reason for the unsuccessful calibration of LAVSOE on Bloemhof Dam are discussed. Modifications to LAVSOE to make it more applicable to turbid systems is proposed.Algal-available particulate phosphorus in the Great Lakes basin. J. Great Lakes Res. 11, 434-446.

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Documentation of selected constructs and parameter values in the aquatic model cleaner

Cited by 48 publications

References 25 publications

Temporal and Spatial Scales in Phytoplankton Ecology. Mechanisms, Methods, Models, and Management

Temporal and Spatial Scales in Phytoplankton Ecology. Mechanisms, Methods, Models, and Management

Introduction to computer modeling of aquaculture pond ecosystems

Application of Lavsoe, an Eutrophication Model, to Bloemhof Dam

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