TY - JOUR
T1 - Patos Lagoon, Brazil, suspended particulate matter (SPM) data compendium
AU - Távora, J.
AU - Leão Fernandes, Elisa Helena
AU - Möller, Osmar Olinto
N1 - Funding Information:
The authors are grateful to the Office of Naval Research (ONR) for sponsoring the LOAD Project (Contract N62909‐19‐1‐2145)
Funding Information:
With the intention of creating a model of interaction of nutrients and physical factors that conditioned plankton blooms in the estuaries, this project was financed by the European Economic Community (BEL) with support from the University of Dundee (UK). During the 2 years of sampling efforts (August 1994, February and September 1995, and February 1996), four expeditions were conducted on board of R/V Larus. Sampling cruises counted on nineteen stations located from Rio Grande Channel to Guaíba River basin and its tributaries (Rivers Jacuí, Caí, Rio dos Sinos, and Gravataí). The SPM samples were estimated using protocols by Aminot and Chaussepied ( 1983 ), and further information is described in Yunes et al. ( 1994 , 1998 ).
Funding Information:
This data set was acquired in a research programme funded by the European Commission known as ECOSUD (Estuaries and Coastal Areas: Basis and Tools for a more Sustainable Development) and is described in the work of Niencheski and Baumgarten ( 2007 ). It includes the realization of four field campaigns (one every season). The research campaigns were conducted in Mangueira Bay and the southern estuarine portion of Patos Lagoon (i.e. Rio Grande Channel) in order to obtain SPM during contrasting salinity conditions in October 2002, June 2003, December 2003 and April 2004. At each station, surface samples were collected using a Van Dorn bottle. Water samples for SPM were stored at 5°C in proper bottles and analysed using the methods described by Baumgarten et al. ( 1996 ).
Funding Information:
The authors would like to thank all funding sources and PIs for making available the series of data. A huge thanks to those who have made their data available directly or indirectly for this project and given assistance in constructing this data set. The measurements were made available by a very resilient scientific community, which, despite the limitations related to infrastructure, keeps moving forward. The authors would also like to thank Bruno Möller for organizing and digitizing some of the data sets. Also, a big thank you to Guto Schettini for useful comments and suggestions. Last but not least, thank you for the whole R/V Larus crew along the years for the partnership and cooperation attending the scientific crew's research needs. Finally, the authors would like to acknowledge the funding sources CIRM (Comissão Interministerial para os Recursos do Mar), FAPERGS (Fundação de Amparo à Pesquisa do Estado do Rio Grande do Su), EEC (European Economic Community), SEMA (Secretaria do Meio Ambiente), JICA (Japan International Cooperation Agency), EC (European Commission), CNPQ (Conselho Nacional de Desenvolvimento Científco e Tecnológico), CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior), FURG (Universidade Federal do Rio Grande), UFRGS (Universidade Federal do Rio Grande do Sul) and SUPRG (Superintendência do Porto do Rio Grande). Dr. Osmar Möller acknowledges FINEP under grant CT‐Hidro, Rede de Estudos Hidrodinâmicos Ecológicos e de Monitoramento da Qualidade Ambiental em Sistemas Costeiros‐FINEP/FURG/FAURG 01.12.0064.00.
Publisher Copyright:
© 2021 The Authors. Geoscience Data Journal published by Royal Meteorological Society and John Wiley & Sons Ltd.
PY - 2022/11
Y1 - 2022/11
N2 - Patos Lagoon is the largest choked coastal lagoon in the world (250 km long, 40 km wide and mean depth of 5 m), with banks formed by sand and predominantly muddy bottom. The circulation is mainly driven by wind and river flow, with a minor contribution of the local microtidal regime. This lagoon is one of the most studied coastal water bodies in Brazil. The Patos Lagoon suspended particulate matter (SPM) data compendium consists of over four decades (1978–2019) of SPM data gathered from multiple research and monitoring projects. Data consist of SPM in situ samplings, remote sensing derived SPM estimates, rating curve approach for SPM estimates and SPM derived from turbidity measurements. Only measurements with a detailed description of the sampling and analysis protocols were used. The present data set offers valuable contributions as it allows the assessment of trends on the data and the short- and long-term spatial and temporal variability of SPM concentrations in an area where permanent monitoring stations are not available. From these records, the SPM concentrations ranged from 0.4 g/m3 up to 1,000 g/m3. The Patos Lagoon SPM Compendium has been made publicly available at Tavora, Fernandes and Möller (2020).
AB - Patos Lagoon is the largest choked coastal lagoon in the world (250 km long, 40 km wide and mean depth of 5 m), with banks formed by sand and predominantly muddy bottom. The circulation is mainly driven by wind and river flow, with a minor contribution of the local microtidal regime. This lagoon is one of the most studied coastal water bodies in Brazil. The Patos Lagoon suspended particulate matter (SPM) data compendium consists of over four decades (1978–2019) of SPM data gathered from multiple research and monitoring projects. Data consist of SPM in situ samplings, remote sensing derived SPM estimates, rating curve approach for SPM estimates and SPM derived from turbidity measurements. Only measurements with a detailed description of the sampling and analysis protocols were used. The present data set offers valuable contributions as it allows the assessment of trends on the data and the short- and long-term spatial and temporal variability of SPM concentrations in an area where permanent monitoring stations are not available. From these records, the SPM concentrations ranged from 0.4 g/m3 up to 1,000 g/m3. The Patos Lagoon SPM Compendium has been made publicly available at Tavora, Fernandes and Möller (2020).
KW - Patos Lagoon
KW - SPM compendium
KW - suspended particulate matter
KW - ITC-GOLD
KW - ITC-ISI-JOURNAL-ARTICLE
UR - https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2021/isi/tavora_pat.pdf
U2 - 10.1002/gdj3.134
DO - 10.1002/gdj3.134
M3 - Article
AN - SCOPUS:85117707182
SN - 2049-6060
VL - 9
SP - 235
EP - 255
JO - Geoscience Data Journal
JF - Geoscience Data Journal
IS - 2
ER -