PAPERS IN SCIENTIFIC AND TECHNICAL JOURNALS (JCR-SCI) & Book Chapter
PAPERS IN SCIENTIFIC AND TECHNICAL JOURNALS (JCR-SCI)
47. Neiva A.M.R., Carvalho P.C.S., Antunes I.M.H.R., Albuquerque M.T.D., Santos A.C.S. & Cunha P.P., 2022, Assessment of trace elements pollution and ecological risk in stream sediments and waters from an old U mine and comparison with other old U mines of central Portugal, Environmental Earth Sciences (2022) 81:175, https://doi.org/10.1007/s12665-022-10275-2;
46. Almeida A.M., Martins M.J., Campagnolo M-L, Fernandez P., Albuquerque M.T.D., Gerassis S., Gonçalves J.G., Ribeiro M.M., 2022, Prediction scenarios of past, present, and future environmental suitability for the Mediterranean species Arbutus unedo L., Scientific Reports 12:84, https://doi.org/10.1038/s41598-021-03996-0;
45. Boente C., Albuquerque M.T.D., Gallego J.R., Pawlowsky-Glahn V., Egozcue J.J., 2022, Compositional baseline assessments to address soil pollution: An application in Langreo, Spain, STOTEN, Volume 812, 15 March 2022, 152383, https://doi.org/10.1016/j.scitotenv.2021.152383;
44. Albuquerque M.T.D., Roque N., Rodrigues J., Antunes I.M.H.R. & Catarina Silva, 2021, DRASTICAI, a new index for groundwater vulnerability assessment – a Portuguese case study, Geosciences, Special Issue “Aquatic Systems Quality and Pollution Control”, 11, 228. https://doi.org/10.3390/geosciences11060228;
43. Antunes I.M.H.R, Albuquerque M.T.D., Valente T.M., Carvalho P. & Santos A., 2021, The role of water-rock interaction processes on the contamination of a U-enriched area, Geosciences, Special Issue “Aquatic Systems Quality and Pollution Control”, 11, 217, https://doi.org/10.3390/geosciences11050217;
42. Almeida P.D., Albuquerque M.T.D. & Antunes I.M.H.R., 2021, Effects of sewage treatment plant release on a freshwater ecosystem – a Portuguese case study, Water Air Soil Pollut 232, 206, https://doi.org/10.1007/s11270-021-05131-1;
41. Gerassis S, Albuquerque M.T.D., Roque N., Ribeiro S., Taboada J. & Ribeiro M.M., 2021, Future habitat suitability for species under climate change – Lessons learned from the strawberry tree case study, Forest Ecology and Management 491- 119150; https://doi.org/10.1016/j.foreco.2021.119150;
40. Alegria C., Roque N., Albuquerque M.T.D., Fernandez P. & Ribeiro M.M., 2021, Modelling Maritime pine (Pinus pinaster Aiton) spatial distribution and productivity in Portugal: tools for forest management, Forests 12, 368, https://doi.org/10.3390/f12030368;
39. Fonseca R., Pinho C., Albuquerque M.T.D. & Araújo J., 2021, Environmental factors and metals mobilization in alluvial and riverbed sediments - Minas Gerais, Brazil, Geosciences 11, 110, https://doi.org/10.3390/geosciences11030110;
38. Gomes P., Valente, T., Albuquerque M.T.D., Henriques R., Flor-Arnau N., Pamplona J. & Macías, F., 2021, Algae in acid mine drainage and relationships with pollutants in a degraded mining ecosystem, Minerals, 11, 110. https://doi.org/10.3390/min11020110;
37. Tramblay Y., Rutkowska A., Sauquet E., Sefton C., Laaha G., Osuch M., Albuquerque M.T.D., Alves M.H., Banasik K., Beaufort A., Brocca L., Camici S., Csabai Z., Dakhlaoui H., DeGirolamo A.M., Dörflinger G., Gallart F., Gauster T., Hanich L., Kohnová S., Mediero L., Ninov P., Parry S., Quintana-Seguí P., Tzoraki O. & Datry T., 2021, Trends in flow intermittence for European Rivers, Hydrological Sciences Journal, https://doi.org/10.1080/02626667.2020.1849708;
36. Gerassis S., Boente C., Albuquerque M.T.D., Abad A., Taboada J. & Ribeiro M.M., 2021, Mapping occupational health risk factors in the primary sector – a novel supervised machine learning and Area-to-Point Poisson kriging approach, Spatial Statistics, 42, 100434; https://doi.org/10.1016/j.spasta.2020.100434;
35. Antunes I.M.H.R, Santos A., Valente T.M. & Albuquerque M.T.D., 2020, Spatial Mobility of U and Th in a U-enriched area (Central Portugal), Appl. Sci., 10, 7866; https://doi.org/10.3390/app10217866 - http://hdl.handle.net/10400.11/7311;
34. Alegria C., Roque N., Albuquerque M.T.D., Gerassis S., Fernandez P. & Ribeiro M.M., 2020, Species Ecological Envelopes under Climate Change Scenarios: A Case Study for the Main Two Wood-Production Forest Species in Portugal, Forests, 11(8), 880; https://doi.org/10.3390/f11080880;
33. Boente C., Gerassis S., Albuquerque M.T.D., Fernández-Braña A., Taboada J. & Gallego J.R., 2020, Local versus Regional Soil Screening Levels to Identify Potentially Polluted Areas, Math Geosci, Volume 52, Issue 3, Pg 381-396, https://doi.org/10.1007/s11004-019-09792-x;
32. Iglesias C., Antunes I.M.H.R., Albuquerque M.T.D., Martínez J. & Taboada J., 2020, Predicting ore content throughout a machine learning procedure – a Sn-W enrichment case study, J. Geochem. Expl, https://doi.org/10.1016/j.gexplo.2019.106405;
31. Ferreira Gomes L.M., Antunes I.M.H.R., Albuquerque M.T.D. & Santos A.J. Silva, 2019, New Thermal Mineral Water from Águas (Penamacor, Central Portugal): Hydrogeochemistry and Therapeutic Indications, IOP Conf. Series: Earth and Environmental Science 221 (2019) 012025, IOP Publishing, DOI:10.1088/1755-1315/221/1/012025;
30. Albuquerque M.T.D., Antunes I.M.H.R., Oliveira N.P.& Pelletier P., 2019, Impact of Sewage Effluent Discharges in Sensitive Protected Areas, SN Applied Sciences, vol:1, edit:10; 1167, https://doi.org/10.1007/s42452-019-1095-y;
29. Neiva A.M., Albuquerque M.T.D., Antunes I.M.H.R., Santos A.C.S., Cunha P.P. & Boente C., 2019, Assessment of metal and metalloid contamination in soils trough compositional data - the old Mortórios uranium mine area, central Portugal, Environ Geochem Health, https://doi.org/10.1007/s10653-019-00347-x;
28. Neiva A.M.R., Carvalho P.C.S., Antunes I.M.H.R., Albuquerque M.T.D., Santos A.C.S., Cunha P.P. & Henriques S.B.A., 2019, Assessment of metal and metalloid contamination in the waters and stream sediments around the abandoned uranium mine area from Mortórios, central Portugal, J. Geochem. Expl., https://doi.org/10.1016/j.gexplo.2019.03.020;
27. Gerassis S., Albuquerque M.T.D., García J.F., Boente C. & Taboada J., 2019, Understanding complex blasting operations: A structural equation model combining Bayesian networks and latent class clustering, Reliability Engineering & System Safety, https://doi.org/10.1016/j.ress.2019.03.032 - http://hdl.handle.net/10400.11/6447;
26. Ribeiro M.M., Roque N., Ribeiro S., Gavinhos C., Castanheira I., Quinta-Nova L., Albuquerque M.T.D. & Gerassis S., 2019 Bioclimatic modeling in the Last Glacial Maximum, Mid-Holocene and facing future climatic changes in the strawberry tree (Arbutus unedo L.), PLoS-One 14: e0210062, https://doi.org/10.1371/journal.pone.0210062;
25. Boente C., Albuquerque M.T.D., Gerassis S., Rodríguez-Valdés E.& Gallego J.R., 2019, A coupled multivariate statistics, geostatistical and machine-learning approach to address soil pollution in a prototypical Hg-mining site in a natural reserve, 218, 767-777, Chemosphere, https://doi.org/10.1016/j.chemosphere.2018.11.172;
24. Antunes I.M.H.R., Albuquerque M.T.D., Oliveira S.F. & Lobón G.S.L., 2018, Predictive scenarios for surface water quality simulation - a watershed case study, Catena 170, https://doi.org/10.1016/j.catena.2018.06.021;
23. Antunes, I.M.H.R., Neiva, A.M.R., Albuquerque, M.T.D., Carvalho, P.C.S., Santos A.C.T. & Cunha. P.P., 2018, Potential toxic elements in stream sediments, soils, and waters in an abandoned radium mine (central Portugal), Environ Geochem Health 40:521,https://doi.org/10.1007/s10653-017-9945-2, http://hdl.handle.net/10400.11/5541;
22. Antunes I.M.H.R., Albuquerque M.T.D. & Roque N., 2018, Spatial Environmental risk evaluation of Potential Toxic Elements in stream sediments, Environ. Geochem. Health, (), 1-13, https://doi.org/10.1007/s10653-018-0124-x;
21. Boente C., Albuquerque M.T.D., Fernández-Braña A., Gerassis S., Sierra C. & Gallego J.R., 2018, Combining raw and compositional data to determine the spatial patterns of Potentially Toxic Elements in soils, Sci. Total Environ. 631–632, 1117–1126,https://doi.org/10.1016/j.scitotenv.2018.03.048,http://hdl.handle.net/10400.11/60
20. Mestre S., Alegria C., Albuquerque M.T.D. & Goovaerts P., 2018, Developing an Index for Forest Productivity Mapping – a case study for maritime pine production regulation in Portugal, Revista Árvore, 41(3): e 410306, http://dx.doi.org/10.1590/1806-90882017000300006;
19. Alonso L., Albuquerque M.T.D., Martínez-Alegría R., Antunes I.M.R.H. & Taboada J., 2017, Aquifer vulnerability mapping and associated spatial uncertainty, AgroLife Scientific Journal, Volume 6, Number 1, ISSN 2285-5718, 9-13, Web of Science Coverage-Core Collection;
18. Albuquerque M.T.D., Gerassis S., Sierra C., Taboada J., Martín, J.E., Antunes I.M.H.R. & Gallego J.R., 2017, Developing a new Bayesian Risk Index for risk evaluation of soil contamination, Sci Total Environ, Volumes 603–604, 15 December 2017, Pages 167–177, https://doi.org/10.1016/j.scitotenv.2017.06.068 - http://hdl.handle.net/10400.11/5577;
17. Antunes I.M.R.H., Neiva A.M.R., Albuquerque M.T.D. & Santos A.C.T., 2017, Spatial Surface and Groundwater Interaction in an Abandoned Radium-Bearing Mine (Guarda, Central Portugal), Procedia Earth and Planetary Science, https://doi.org/10.1016/j.proeps.2016.12.165;
16. Albuquerque M.T.D., Antunes I.M.H.R., Serafimovski T., Vrhovnik P. & Hamler S., 2017, Spatial Distribution and Associated Spatial Uncertainty of Potential Toxic Elements-the lake Kalimanci case study (Republic of Macedonia), Procedia Earth and Planetary science, https://doi.org/10.1016/j.proeps.2017.01.037;];
15. Campos F., Velasco T., Lobón G.S., Casanueva P., Albuquerque M.T.D. & Antunes I.M.H.R., 2016, Ischnura Graellsii (Insecta: Odonata) a Water Pollution Biovulnerability Indicator—Probability Mapping using Spatial Uncertainty, River Research. and Applications.,32-3, 483-489 p, https://doi.org/10.1002/rra.2839;
14. Goovaerts P., Albuquerque M.T.D. & Antunes I.M.H.R., 2016, A Multivariate Geostatistical Methodology to Delineate Areas of Potential Interest for Future Sedimentary Gold Exploration, Math. Geosci, ISSN: 1874-8961 (print version), https://doi.org/10.1007/s11004-015-9632-8;
13. Alonso L., Albuquerque M.T.D., Antunes I-M.H.R., Martínez-Alegria R. & Lobón G.S., 2015, Geostatistics Tailored to Address Nitrates Spatial Uncertainty in Groundwater (Douro Watershed, Espanha), Agriculture and Agricultural Science Procedia, Issue 6C, pp. 397-404, https://doi.org/10.1016/j.aaspro.2015.08.106;
12. Lobón G.S., Martínez-Alegria R., Taboada J., Albuquerque M.T.D., Antunes I.M.H.R. & Montequi I., 2015, The water budget and modeling of the Montes Torozos karst aquifer (Valladolid, Espanha), DYNA, volume 82, Issue 191, pg .203-208, ISSN:2346-2183, http://dx.doi.org/10.15446/dyna.v82n191.44732;
11. Mediero L., Kjeldsen T.R., Macdonald N., Kohnova S., Merz B., Vorogushyn S., Wilson D., Albuquerque M.T.D., Blöschl G., Bogdanowicz E., Castellarin A., Hall J., Kobold M., Kriauciuniene J., Lang M., Madsen H., Onusluel G., Roald L.A., Salinas J.L., Toumazis A.D., Veijalainen N. & Óðinn Þ., 2015, Identification of coherent flood regions across Europe using long streamflow records, Journal of Hydrology, 528 (2015) 341–360, ISSN: 0022-1694, http://doi.org/10.1016/j.jhydrol.2015.06.016;
10. Kjeldsen T.R., Macdonald N., Lang M., Mediero L, Albuquerque M.T.D., Bogdanowicz E., Brazdil R., Castellarin A., David V., Fleig A., Gül G.O., Kriauciuniene J., Kohnova S., Merz B., Nicholson D.O., Roald L.A., Salinas J.L., Sarauskiene D., Sraj M., Strupczewski W., Szolgay J., Toumazis A., Vanneuville W., Veijalainen N. & Wilson D., 2014, Documentary evidence of past floods in Europe and their utility in flood frequency estimation, Journal of Hydrology, ISSN: 0022-1694, http://dx.doi.org/10.1016/j.jhydrol.2014.06.038;
9. Albuquerque M.T.D., Antunes I.M.H.R., Seco M.F.M., Oliveira S.F. & Lobón G.S., 2014, Sequential gaussian simulation of uranium spatial distribution– a transboundary watershed case study, Procedia Earth and Planetary Science, ISSN: 1878-5220, https://doi.org/10.1016/j.proeps.2014.05.002;
8. Antunes I.M.H.R., Albuquerque M.T.D., Seco M.F.M., Oliveira S.F. & Lobón G.S., 2014, Uranium, and arsenic spatial distribution in the Águeda watershed groundwater, Procedia Earth and Planetary Science, ISSN: 1878-5220, https://doi.org/10.1016/j.proeps.2014.05.004;
7. Martínez-Alegría R., Lobón G.S., Taboada J., Albuquerque M.T.D. & Antunes I.M.H.R., 2014, Unconfined aquifer vulnerability related to topical pollution episodes–Montes Torozos (Espanha), Procedia Earth and Planetary Science, ISSN: 1878-5220, https://doi.org/10.1016/j.proeps.2014.05.016;
6. Alves Z., Muranho J., Albuquerque M.T.D. & Ferreira A.M., 2014, Water distribution network's modelling and calibration – a case study based on scarce inventory data, Procedia Engineering, ISSN: 1877-7058, https://doi.org/10.1016/j.proeng.2014.02.005;
5. Antunes I.M.H.R, Albuquerque M.T.D. & Sanches M.F., 2014, Spatial risk assessment related to abandoned mining activities: an environmental management tool, Environmental Earth Sciences, Volume 72, Issue 7, pp 2631-2641, ISSN: 1866-6280, https://doi.org/10.1007/s12665-014-3170-4;
4. Ordóñez C., Sierra C., Albuquerque M.T.D. & Gallego J.R., 2013, Functional data analysis as a tool to correlate textural and geochemical data, Volume 223, pg. 476–482, Applied Mathematics and Computation, ISSN: 0096-3003, https://doi.org/10.1016/j.amc.2013.08.032;
3. Albuquerque M.T.D., Lobón G.S., Oliveira S.F., Martínez-Alegría R. &. Antunes I.M.H.R., 2013, Spatio-Temporal Groundwater Vulnerability Assessment - A Coupled Remote Sensing and GIS Approach for Historical Land Cover Reconstruction, 27:4509–4526, Wat. Res. Manag., Volume 27, Issue 13, pp 4509-4526 ISSN: 0920-4741, https://doi.org/10.1007/s11269-013-0422-0;
2. Antunes I.M.R.H. & Albuquerque M.T.D., 2013, Using indicator kriging for the evaluation of arsenic potential contamination in an abandoned mining area (Portugal), Sci. Total Environ., volume 442, 545–552, ISSN:0048-9697, https://doi.org/10.1016/j.scitotenv.2012.10.010;
1.Albuquerque M.T.D., Dias V.H., Poellinger N. & Pinto J.F., 2010, Construction of a quality index for granules produced by fluidized bed technology and application of the correspondence analysis as a discriminant procedure, European Journal of Pharmaceutics and Biopharmaceutics, Volume 75, https://doi.org/10.1016/j.ejpb.2010.04.002.
Book Chapter
11. Albuquerque M.T.D., Roque N., Rodrigues J., Antunes I.M., Silva C., 2021, Groundwater Vulnerability Assessment in the Naturtejo UNESCO Global Geopark, Portugal, Advances in Science, Technology, and Innovation, pp. 223-228. Book Chapter• Green Open Access, Springer Nature, ISSN: 25228714, https://doi.org/10.1007/978-3-030-59320-9_46;
10. Quinta-Nova L., Roque N., Navalho I., Alegria C. & Albuquerque M.T.D., 2019, Using Geostatistics and Spatial Multicriteria Analysis to Map Forest Species Biogeophysical Suitability: a study case for the Centro region of Portugal, Book: Information and Communication Technologies in Modern Agricultural Development, Chapter No: 5 DOI:10.1007/978-3-030-12998-95;
9.Albuquerque M.T.D. & Antunes I.M.H.R., 2015, Uranium Spatio-Temporal Variability in Groundwater – An Environmental Risk Assessment Case Study, Chapt 7, pp. 145-156, Uranium Sources, Exposure, and Environmental Effects, Joyce R. Nelson Editor, Nova Publishers, New York, ISBN: 978-1-63482-827-7;
8. Antunes I.M.H.R., Albuquerque M.T.D., Oliveira S.F., Roque N., Seco M.F. & Alonso A.H.L., 2014, Riscos e vulnerabilidades na bacia do rio Águeda, In Cuenca del Río Águeda: Un Territorio para dos Países, Francisco Campos Sánchez-Bordona (Ed.), Edita: Universidad Europea Miguel de Cervantes, Dep. Legal: VA-831-2013, ISBN: 978-84-941760-3-6;
7. Goovaerts P., Albuquerque M.T.D. & Antunes I.M.H.R., 2014, A Spatial Statistical Approach for Sedimentary Gold Exploration: A Portuguese Case Study, Mathematics of Planet Earth, Lecture Notes in Earth System Sciences, pp 545-548, ISSN: 2193-8571, ISBN: 978-3-642-32407-9, DOI: 10.1007/978-3-642-32408-6119;
6. Sousa M., Albuquerque M.T.D. & Antunes I.M.H.R., 2013, Investing in sustainable catchments water abstraction's security design in the Gardunha area (Portugal), The TWIN International Conferences on Civil Engineering-Towards a Better Environment & The Concrete Future, (Ed) Victor Cavaleiro, Isabel Pinto, Luís M. Ferreira Gomes, Castro Gomes, Sérgio Lopes & Luís Bernardo, Publ: Premier Pte Ltd 150 ORCHARD Road, #07-14 Orchard Plaza Singapore 238841. Republic of Singapore, ISBN: 978-981-07-6066-3;
5. Silva M.C.R., Albuquerque M.T.D. & Ribeiro L., 2010, Use of Water quality index to evaluate the influence of anthropogenic contamination of groundwater chemistry of a shallow aquifer, Loures valley, Lisbon, Portugal, Global Groundwater Resources and Management, Published by Scientific Publishers, ISBN 10: 8172336195 / ISBN 13: 9788172336196;
4. Pereira H.G., Sousa A.J., Ribeiro J., Albuquerque M.T.D., Luís G., Lamberto V. & Saraiva J., 2000, Case studies on the application of geostatistics to in situ natural stone characterization, Geostatistics 2000, Cape Town, Ed. Kleingeld and Krige, Volume 2, pp. 757-766;
3. Barata M.T.A., Nunes M.C., Sousa A.J., Muge F.H. & Albuquerque M.T.D., 1997, Geostatistical estimation of forest cover areas using remote sensing data, Geostatistics Wollongong´96, 905-915, Baafi, E.Y., Schofield, N.A., Kluwer Academic Publishers, Dordrecht, The Netherlands, Article, Scopus, 2-s2.0-0032772759, DOI:10.1007/978-94-011-5726-123;
2. Ribeiro J., Pereira H.G., Sousa A.J., Albuquerque M.T.D., Tirabasso F., Taboada J.& Rico G., 1997, Geostatistical Characterization of Natural Stones Quarries, Geostatistics Wollongong '96, Book Series: Quantitative Geology and Geostatistics, Volume: 8, Issue: 1-2 Pages: 905-915, Edited by: Baafi, EY; Schofield, NA, Publisher: Springer, po box 17, 3300 AA Dordrecht, Netherlands, DOI: 10.1007/978-94-011-5726-123;
1. Pereira H.G., Brito M.G., Albuquerque M.T.D. & Ribeiro J., 1993, Geostatistical Estimation of a Summary Recovery Index for Marble Quarries, Soares A. (eds) Geostatistics Tróia’92. Quantitative Geology and Geostatistics, vol 5., 1029-1040, Springer, Dordrecht, ISBN: 978-0-7923-2157-6, WOS: A1993BY18R00082; https://doi.org/10.1007/978-94-011-1739-5_82.