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Cecchetto M, Giubilato E, Bernardini I, Bettiol C, Asnicar D, Bertolini C, Fabrello J, Bonetto A, Peruzza L, Ciscato M, Matozzo V, Marin MG, Bargelloni L, Patarnello T, Marcomini A, Milan M, Semenzin E. A Weight of Evidence approach to support the assessment of the quality of Manila clam farming sites in a coastal lagoon. MARINE POLLUTION BULLETIN 2023; 197:115668. [PMID: 37922751 DOI: 10.1016/j.marpolbul.2023.115668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 10/09/2023] [Accepted: 10/11/2023] [Indexed: 11/07/2023]
Abstract
Aquaculture productivity in coastal lagoons is endangered by a complex interplay of anthropogenic and environmental factors, amplified by the effects of climate change in these sensitive areas. To reach a more comprehensive assessment of farming sites quality, a quantitative Weight of Evidence approach (QWoE) is applied for the first time to data collected at four Manila clam (R. philippinarum) farming sites in the Venice lagoon (Italy). This included sediment quality, chemical bioaccumulation, and biological responses. Results revealed a greater hazard for sites closer to the open sea. In these areas, the combination of sediment characteristics and a higher frequency of salinity and temperature stress could explain the alterations measured at a transcriptional and biomarker level. The findings demonstrate that a QWoE approach that integrates multiple sources of evidence should also include physicochemical conditions in order to better understand the impacts of human activities and other stressors on clam aquaculture productivity.
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Affiliation(s)
- M Cecchetto
- Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, via Torino 155, 30172 Mestre-Venezia, Italy
| | - E Giubilato
- Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, via Torino 155, 30172 Mestre-Venezia, Italy
| | - I Bernardini
- Department of Comparative Biomedicine and Food Science, University of Padova, Viale dell'Università 16, 35020 Legnaro, Padova, Italy
| | - C Bettiol
- Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, via Torino 155, 30172 Mestre-Venezia, Italy
| | - D Asnicar
- Department of Biology, University of Padova, Via Ugo Bassi 58/B, 35131 Padova, Italy; Aquatic Bioscience, Huntsman Marine Science Centre, 1 Lower Campus Road, E5B2L7 St. Andrews, NB, Canada
| | - C Bertolini
- Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, via Torino 155, 30172 Mestre-Venezia, Italy
| | - J Fabrello
- Department of Biology, University of Padova, Via Ugo Bassi 58/B, 35131 Padova, Italy
| | - A Bonetto
- Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, via Torino 155, 30172 Mestre-Venezia, Italy
| | - L Peruzza
- Department of Comparative Biomedicine and Food Science, University of Padova, Viale dell'Università 16, 35020 Legnaro, Padova, Italy
| | - M Ciscato
- Department of Biology, University of Padova, Via Ugo Bassi 58/B, 35131 Padova, Italy
| | - V Matozzo
- Department of Biology, University of Padova, Via Ugo Bassi 58/B, 35131 Padova, Italy
| | - M G Marin
- Department of Biology, University of Padova, Via Ugo Bassi 58/B, 35131 Padova, Italy
| | - L Bargelloni
- Department of Comparative Biomedicine and Food Science, University of Padova, Viale dell'Università 16, 35020 Legnaro, Padova, Italy
| | - T Patarnello
- Department of Comparative Biomedicine and Food Science, University of Padova, Viale dell'Università 16, 35020 Legnaro, Padova, Italy; NFBC, National Future Biodiversity Center, Palermo, Italy
| | - A Marcomini
- Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, via Torino 155, 30172 Mestre-Venezia, Italy
| | - M Milan
- Department of Comparative Biomedicine and Food Science, University of Padova, Viale dell'Università 16, 35020 Legnaro, Padova, Italy; NFBC, National Future Biodiversity Center, Palermo, Italy.
| | - E Semenzin
- Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, via Torino 155, 30172 Mestre-Venezia, Italy.
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Caill-Milly N, Garmendia JB, D'Amico F, Guyader O, Dang C, Bru N. Adapting a dynamic system model using life traits and local fishery knowledge — Application to a population of exploited marine bivalves (Ruditapes philippinarum) in a mesotidal coastal lagoon. Ecol Modell 2022. [DOI: 10.1016/j.ecolmodel.2022.110034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Ghezzo M, Pellizzato M, De Pascalis F, Silvestri S, Umgiesser G. Natural resources and climate change: A study of the potential impact on Manila clam in the Venice lagoon. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 645:419-430. [PMID: 30029120 DOI: 10.1016/j.scitotenv.2018.07.060] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 07/04/2018] [Accepted: 07/04/2018] [Indexed: 06/08/2023]
Abstract
A crucial aspect in climate change is to understand how an ecosystem will adapt under different environmental conditions and how it will influence the ecological resources and the connected human activities. In this study, a numerical model reproduces the growth dynamics, dispersion and settlement of clam's larvae in the Venice lagoon. On the basis of the last IPCC scenarios for the years 2050 and 2100, the model simulates the changes in larval settlement, showing how the geographical distribution and, consequently, the nursery area changes over time. Our results indicate that climate change will modify, not only the timing of the settlements (from spring-summer to winter autumn) and the spatial distribution of nursery areas (from central to southern lagoon), but also the absolute quantity of settled larvae in the lagoon. This can strongly affect aquaculture in terms of availability of seed and farming practice. Given that these changes are due to the variations in temperature and circulation, similar processes are likely to happen in other transitional environments all over the world affecting the global aquaculture resources. In this regard, the tool we developed could support local policymakers in the knowledge-based planning and sustainable management of clam aquaculture in vulnerable environments.
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Affiliation(s)
- Michol Ghezzo
- Institute of Marine Science - National Research Council (ISMAR-CNR), Arsenale Castello 2737/f, 30122 Venice, Italy.
| | - Michele Pellizzato
- Institute of Marine Science - National Research Council (ISMAR-CNR), Arsenale Castello 2737/f, 30122 Venice, Italy.
| | - Francesca De Pascalis
- Institute of Marine Science - National Research Council (ISMAR-CNR), Arsenale Castello 2737/f, 30122 Venice, Italy.
| | - Silvia Silvestri
- CAB International, 9, Muthaiga - Limuru Road, PO Box 633-00621, Nairobi, Kenya.
| | - Georg Umgiesser
- Institute of Marine Science - National Research Council (ISMAR-CNR), Arsenale Castello 2737/f, 30122 Venice, Italy; Marine Research Institute, University of Klaipeda, Herkaus Manto str. 84, 92294 Klaipeda, Lithuania.
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Baldan D, Porporato EMD, Pastres R, Brigolin D. An R package for simulating growth and organic wastage in aquaculture farms in response to environmental conditions and husbandry practices. PLoS One 2018; 13:e0195732. [PMID: 29723208 PMCID: PMC5933756 DOI: 10.1371/journal.pone.0195732] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Accepted: 03/28/2018] [Indexed: 11/18/2022] Open
Abstract
A new R software package, RAC, is presented. RAC allows to simulate the rearing cycle of 4 species, finfish and shellfish, highly important in terms of production in the Mediterranean Sea. The package works both at the scale of the individual and of the farmed population. Mathematical models included in RAC were all validated in previous works, and account for growth and metabolism, based on input data characterizing the forcing functions-water temperature, and food quality/quantity. The package provides a demo dataset of forcings for each species, as well as a typical set of husbandry parameters for Mediterranean conditions. The present work illustrates RAC main features, and its current capabilities/limitations. Three test cases are presented as a proof of concept of RAC applicability, and to demonstrate its potential for integrating different open products nowadays provided by remote sensing and operational oceanography.
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Affiliation(s)
| | - Erika Maria Diletta Porporato
- Department of Environmental Sciences, Informatics and Statistics, Ca’ Foscari University of Venice, Venezia Mestre, Italy
| | - Roberto Pastres
- Bluefarm S.r.l., Venezia Marghera, Italy
- Department of Environmental Sciences, Informatics and Statistics, Ca’ Foscari University of Venice, Venezia Mestre, Italy
| | - Daniele Brigolin
- Bluefarm S.r.l., Venezia Marghera, Italy
- Department of Environmental Sciences, Informatics and Statistics, Ca’ Foscari University of Venice, Venezia Mestre, Italy
- * E-mail:
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Béjaoui B, Solidoro C, Harzallah A, Chevalier C, Chapelle A, Zaaboub N, Aleya L. 3D modeling of phytoplankton seasonal variation and nutrient budget in a southern Mediterranean Lagoon. MARINE POLLUTION BULLETIN 2017; 114:962-976. [PMID: 27871625 DOI: 10.1016/j.marpolbul.2016.11.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2016] [Revised: 10/29/2016] [Accepted: 11/01/2016] [Indexed: 06/06/2023]
Abstract
A 3D coupled physical-biogeochemical model is developed and applied to Bizerte Lagoon (Tunisia), in order to understand and quantitatively assess its hydrobiological functioning and nutrients budget. The biogeochemical module accounts for nitrogen and phosphorus and includes the water column and upper sediment layer. The simulations showed that water circulation and the seasonal patterns of nutrients, phytoplankton and dissolved oxygen were satisfactorily reproduced. Model results indicate that water circulation in the lagoon is driven mainly by tide and wind. Plankton primary production is co-limited by phosphorus and nitrogen, and is highest in the inner part of the lagoon, due to the combined effects of high water residence time and high nutrient inputs from the boundary. However, a sensitivity analysis highlights the importance of exchanges with the Mediterranean Sea in maintaining a high level of productivity. Intensive use of fertilizers in the catchment area has a significant effect on phytoplankton biomass increase.
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Affiliation(s)
- Béchir Béjaoui
- Institut National des Sciences et Technologie de la Mer - 28, rue 2 mars 1934 - Salammbô 2025. Laboratoire Milieu Marin, Tunisie
| | - Cosimo Solidoro
- Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS, Borgo Grotta Gigante 42/c Sgonico, Italy
| | - Ali Harzallah
- Institut National des Sciences et Technologie de la Mer - 28, rue 2 mars 1934 - Salammbô 2025. Laboratoire Milieu Marin, Tunisie
| | - Cristèle Chevalier
- Aix-Marseille Université, CNRS/INSU, IRD, Mediterranean Institute of Oceanography (MIO), UM 110, 13288 Marseille, France; Université de Toulon, CNRS/INSU, IRD, Mediterranean Institute of Oceanography (MIO), UM 110, 83957 La Garde, France
| | - Annie Chapelle
- IFREMER DYneco/Pelagos Brest, BP 70, 29280 Plouzané, France
| | - Noureddine Zaaboub
- Institut National des Sciences et Technologie de la Mer - 28, rue 2 mars 1934 - Salammbô 2025. Laboratoire Milieu Marin, Tunisie
| | - Lotfi Aleya
- Université de Bourgogne Franche-Comté, Laboratoire de Chrono-Environnement, UMR CNRS 6249, La Bouloie, F-25030 Besançon Cedex, France.
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Filgueira R, Grant J, Bacher C, Carreau M. A physical–biogeochemical coupling scheme for modeling marine coastal ecosystems. ECOL INFORM 2012. [DOI: 10.1016/j.ecoinf.2011.11.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Application of a Random Forest algorithm to predict spatial distribution of the potential yield of Ruditapes philippinarum in the Venice lagoon, Italy. Ecol Modell 2011. [DOI: 10.1016/j.ecolmodel.2011.02.007] [Citation(s) in RCA: 152] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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A Box Model for Ecosystem-Level Management of Mussel Culture Carrying Capacity in a Coastal Bay. Ecosystems 2009. [DOI: 10.1007/s10021-009-9289-6] [Citation(s) in RCA: 58] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Cossarini G, Lermusiaux PFJ, Solidoro C. Lagoon of Venice ecosystem: Seasonal dynamics and environmental guidance with uncertainty analyses and error subspace data assimilation. ACTA ACUST UNITED AC 2009. [DOI: 10.1029/2008jc005080] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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11
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Ciavatta S, Pastres R, Badetti C, Ferrari G, Beck M. Estimation of phytoplanktonic production and system respiration from data collected by a real-time monitoring network in the Lagoon of Venice. Ecol Modell 2008. [DOI: 10.1016/j.ecolmodel.2007.10.025] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Sato T, Imazu Y, Sakawa T, Kazama T, Wakabayashi T, Uhrenholdt T. Modeling of integrated marine ecosystem including the generation-tracing type scallop growth model. Ecol Modell 2007. [DOI: 10.1016/j.ecolmodel.2007.06.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Vincenzi S, Caramori G, Rossi R, De Leo GA. A comparative analysis of three habitat suitability models for commercial yield estimation of Tapes philippinarum in a North Adriatic coastal lagoon (Sacca di Goro, Italy). MARINE POLLUTION BULLETIN 2007; 55:579-590. [PMID: 17963792 DOI: 10.1016/j.marpolbul.2007.09.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Habitat Suitability (HS) models have been extensively used by conservation planners to estimate the spatial distribution of threatened species and of species of commercial interest. In this work we compare three HS models for the estimation of commercial yield potential and the identification of suitable sites for Tapes philippinarum rearing in the Sacca di Goro lagoon (Italy) on the basis of six environmental factors. The habitat suitability index (HSI) is based on expert opinion while the habitat suitability conditional (HSC) is calibrated on observational data. The habitat suitability mixed (HSM) model is a two-part model combining expert knowledge and regression analysis: the first component of the model uses logistic regression to identify the areas in which clams are likely to be present; the second part applies the same parameter-specific suitability functions of the HSI model only in the areas previously identified as productive by the logistic component. The HS models were validated on an independent data set and estimates of potential yield of the Goro lagoon were compared. The effectiveness of the three approaches is then discussed in terms of predicted yield and identification of suitable sites for farming.
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Affiliation(s)
- Simone Vincenzi
- Dipartimento di Scienze Ambientali, Università degli Studi di Parma, Viale G. Usberti 33A, Parma, Italy.
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Vincenzi S, Caramori G, Rossi R, Leo GAD. A GIS-based habitat suitability model for commercial yield estimation of Tapes philippinarum in a Mediterranean coastal lagoon (Sacca di Goro, Italy). Ecol Modell 2006. [DOI: 10.1016/j.ecolmodel.2005.07.039] [Citation(s) in RCA: 60] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Venier P, Zampieron C. Evidence of genetic damage in grass gobies and mussels from the Venice lagoon. ENVIRONMENT INTERNATIONAL 2005; 31:1053-64. [PMID: 15979716 DOI: 10.1016/j.envint.2005.05.016] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
The presence of genetic damage has been investigated in two native species of the Venice lagoon: the common mussel Mytilus galloprovincialis and the grass goby Zosterisessor ophiocephalus. Two sampling campaigns were performed in summer 1998 and 1999. Aromatic-like DNA adducts were analysed in selected tissues of gobies and mussels by using the 32P-postlabelling assay. In 1999, micronuclei and other nuclear abnormalities were additionally scored on gill cells and haemocytes of individual mussels whereas inorganic (As, Cd, Cr, Hg, Ni, Pb, Sn) as well as organic contaminants (polycyclic aromatic hydrocarbons, polychlorinated biphenyls and other chlorinated compounds) were measured in the total mussel pulp. Compared to the lagoon inlet area, gobies and mussels from the industrial district (Marghera) showed significant DNA adduct levels and increased frequencies of cytogenetic alterations (evidence of genetic damage was absent or inconsistent in other sites). The substantial levels of aromatic and chlorinated contaminants detected in mussels from Marghera also support the exposure of native organisms to genotoxic agents.
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Affiliation(s)
- Paola Venier
- Department of Biology, University of Padova, Via Bassi 58/B, 35131 Padova, Italy.
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Pastres R, Ciavatta S, Cossarini G, Solidoro C. The seasonal distribution of dissolved inorganic nitrogen and phosphorous in the lagoon of Venice: a numerical analysis. ENVIRONMENT INTERNATIONAL 2005; 31:1031-9. [PMID: 15993943 DOI: 10.1016/j.envint.2005.05.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
This paper investigates the seasonal evolution of the spatial distributions of dissolved inorganic nitrogen and phosphorus, in relation to the estimation of the N and P loads, which were obtained in the framework of the DRAIN project. Such investigation is carried out by using a 3D reaction-diffusion model which has been calibrated against salinity data and then used for obtaining the most likely scenario of the spatial and seasonal distribution of DIN and DIP. The consequences of different management policies are also discussed, in relation to the current Italian legislation, which sets quality standards for both DIN and DIP in the lagoon of Venice.
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Affiliation(s)
- R Pastres
- Dip. di Chimica Fisica, Univ. of Venice, Dorsoduro 2137, 30123 Venezia, Italy.
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A bio-physical coastal ecosystem model for assessing environmental effects of marine bivalve aquaculture. Ecol Modell 2005. [DOI: 10.1016/j.ecolmodel.2004.08.018] [Citation(s) in RCA: 63] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Casini M, Mocenni C, Paoletti S, Vicino A. A DECISION SUPPORT SYSTEM FOR THE MANAGEMENT OF COASTAL LAGOONS. ACTA ACUST UNITED AC 2005. [DOI: 10.3182/20050703-6-cz-1902.02182] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Melaku Canu D, Solidoro C, Umgiesser G. Erratum to “Modelling the responses of the Lagoon of Venice ecosystem to variations in physical forcings”. Ecol Modell 2004. [DOI: 10.1016/j.ecolmodel.2004.01.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Solidoro C, Melaku Canu D, Rossi R. Ecological and economic considerations on fishing and rearing of Tapes phillipinarum in the lagoon of Venice. Ecol Modell 2003. [DOI: 10.1016/s0304-3800(03)00235-7] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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The Extended Kalman Filter (EKF) as a tool for the assimilation of high frequency water quality data. Ecol Modell 2003. [DOI: 10.1016/s0304-3800(03)00230-8] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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