Year |
Citation |
Score |
2020 |
Huang J, Zhang Y, Arhonditsis GB, Gao J, Chen Q, Peng J. The magnitude and drivers of harmful algal blooms in China's lakes and reservoirs: A national-scale characterization. Water Research. 181: 115902. PMID 32505885 DOI: 10.1016/J.Watres.2020.115902 |
0.456 |
|
2020 |
Stow CA, Glassner-Shwayder K, Lee D, Wang L, Arhonditsis G, DePinto JV, Twiss MR. Lake Erie phosphorus targets: An imperative for active adaptive management Journal of Great Lakes Research. 46: 672-676. DOI: 10.1016/J.Jglr.2020.02.005 |
0.385 |
|
2020 |
Hipsey MR, Gal G, Arhonditsis GB, Carey CC, Elliott JA, Frassl MA, Janse JH, de Mora L, Robson BJ. A system of metrics for the assessment and improvement of aquatic ecosystem models Environmental Modelling & Software. 128: 104697. DOI: 10.1016/J.Envsoft.2020.104697 |
0.456 |
|
2020 |
Yang C, Kim D, Bowman J, Theÿsmeÿer T, Arhonditsis GB. Predicting the likelihood of a desirable ecological regime shift: A case study in Cootes Paradise marsh, Lake Ontario, Ontario, Canada Ecological Indicators. 112: 105794. DOI: 10.1016/J.Ecolind.2019.105794 |
0.494 |
|
2020 |
Kaluskar S, Johnson CA, Blukacz-Richards EA, Ouellet F, Kim D, Arhonditsis G. A stochastic modelling framework to accommodate the inter-annual variability of habitat conditions for Peary caribou (Rangifer tarandus pearyi) populations Ecological Informatics. 56: 101013. DOI: 10.1016/J.Ecoinf.2019.101013 |
0.408 |
|
2020 |
Kaluskar S, Blukacz-Richards EA, Johnson CA, Kim D, Arhonditsis G. Connecting the dots in databases of endangered species: a Bayesian hierarchical imputation strategy for missing Peary caribou (Rangifer tarandus pearyi) population data Ecological Complexity. 43: 100846. DOI: 10.1016/J.Ecocom.2020.100846 |
0.388 |
|
2019 |
Moustaka-Gouni M, Sommer U, Economou-Amilli A, Arhonditsis GB, Katsiapi M, Papastergiadou E, Kormas KA, Vardaka E, Karayanni H, Papadimitriou T. Implementation of the Water Framework Directive: Lessons Learned and Future Perspectives for an Ecologically Meaningful Classification Based on Phytoplankton of the Status of Greek Lakes, Mediterranean Region. Environmental Management. PMID 31748947 DOI: 10.1007/S00267-019-01226-Y |
0.43 |
|
2019 |
Zhang C, Huang Y, Javed A, Arhonditsis GB. An ensemble modeling framework to study the effects of climate change on the trophic state of shallow reservoirs. The Science of the Total Environment. 697: 134078. PMID 31479899 DOI: 10.1016/J.Scitotenv.2019.134078 |
0.456 |
|
2019 |
Arhonditsis GB, Neumann A, Shimoda Y, Javed A, Blukacz-Richards A, Mugalingam S. When can we declare a success? A Bayesian framework to assess the recovery rate of impaired freshwater ecosystems. Environment International. 130: 104821. PMID 31326868 DOI: 10.1016/J.Envint.2019.05.015 |
0.43 |
|
2019 |
Kelly NE, Javed A, Shimoda Y, Zastepa A, Watson S, Mugalingam S, Arhonditsis GB. A Bayesian risk assessment framework for microcystin violations of drinking water and recreational standards in the Bay of Quinte, Lake Ontario, Canada. Water Research. 162: 288-301. PMID 31284158 DOI: 10.1016/J.Watres.2019.06.005 |
0.432 |
|
2019 |
Grace P K, Mohsin T, Arhonditsis G, Mirza M, Gough W. Key Agri-Climatic and Socio-Economic Indicators for Cereal Production across the World International Journal of Environment, Agriculture and Biotechnology. 4: 279-300. DOI: 10.22161/Ijeab/4.2.5 |
0.31 |
|
2019 |
Hossain M, Arhonditsis GB, Hoyle JA, Randall RG, Koops MA. Nutrient management and structural shifts in fish assemblages: Lessons learned from an Area of Concern in Lake Ontario Freshwater Biology. 64: 967-983. DOI: 10.1111/Fwb.13278 |
0.5 |
|
2019 |
Mohamed MN, Wellen C, Parsons CT, Taylor WD, Arhonditsis G, Chomicki KM, Boyd D, Weidman P, Mundle SOC, Cappellen PV, Sharpley AN, Haffner DG. Understanding and managing the re-eutrophication of Lake Erie: Knowledge gaps and research priorities Freshwater Science. 38: 675-691. DOI: 10.1086/705915 |
0.752 |
|
2019 |
Javed A, Cheng VYS, Arhonditsis GB. Detection of spatial and temporal hydro-meteorological trends in Lake Michigan, Lake Huron and Georgian Bay Aquatic Ecosystem Health & Management. 22: 1-14. DOI: 10.1080/14634988.2018.1500850 |
0.36 |
|
2019 |
Dong F, Neumann A, Kim D, Huang J, Arhonditsis GB. A season-specific, multi-site calibration strategy to study the hydrological cycle and the impact of extreme-flow events along an urban-to-agricultural gradient Ecological Informatics. 54: 100993. DOI: 10.1016/J.Ecoinf.2019.100993 |
0.443 |
|
2019 |
Arhonditsis GB, Neumann A, Shimoda Y, Kim D, Dong F, Onandia G, Yang C, Javed A, Brady M, Visha A, Ni F, Cheng V. Castles built on sand or predictive limnology in action? Part B: Designing the next monitoring-modelling-assessment cycle of adaptive management in Lake Erie Ecological Informatics. 53: 100969. DOI: 10.1016/J.Ecoinf.2019.05.015 |
0.523 |
|
2019 |
Arhonditsis GB, Neumann A, Shimoda Y, Kim D, Dong F, Onandia G, Yang C, Javed A, Brady M, Visha A, Ni F, Cheng V. Castles built on sand or predictive limnology in action? Part A: Evaluation of an integrated modelling framework to guide adaptive management implementation in Lake Erie Ecological Informatics. 53: 100968. DOI: 10.1016/J.Ecoinf.2019.05.014 |
0.536 |
|
2019 |
Rocchini D, Marcantonio M, Arhonditsis G, Cacciato AL, Hauffe HC, He KS. Cartogramming uncertainty in species distribution models: A Bayesian approach Ecological Complexity. 38: 146-155. DOI: 10.1016/J.Ecocom.2019.04.002 |
0.368 |
|
2019 |
Tallis H, Kreis K, Olander L, Ringler C, Ameyaw D, Borsuk ME, Fletschner D, Game E, Gilligan DO, Jeuland M, Kennedy G, Masuda YJ, Mehta S, Miller N, Parker M, ... ... Arhonditsis G, et al. Aligning evidence generation and use across health, development, and environment Current Opinion in Environmental Sustainability. 39: 81-93. DOI: 10.1016/J.Cosust.2019.09.004 |
0.338 |
|
2019 |
Markovic S, Liang A, Watson SB, Guo J, Mugalingam S, Arhonditsis G, Morley A, Dittrich M. Biogeochemical mechanisms controlling phosphorus diagenesis and internal loading in a remediated hard water eutrophic embayment Chemical Geology. 514: 122-137. DOI: 10.1016/J.Chemgeo.2019.03.031 |
0.323 |
|
2019 |
Lane D, McCarter CP, Richardson M, McConnell C, Field T, Yao H, Arhonditsis G, Mitchell CP. Wetlands and low‐gradient topography are associated with longer hydrologic transit times in Precambrian Shield headwater catchments Hydrological Processes. 34: 598-614. DOI: 10.1002/Hyp.13609 |
0.371 |
|
2019 |
Kaluskar S, Blukacz‐Richards EA, Johnson CA, He Y, Langlois A, Kim D, Arhonditsis G. Development of a model ensemble to predict Peary caribou populations in the Canadian Arctic Archipelago Ecosphere. 10. DOI: 10.1002/Ecs2.2976 |
0.314 |
|
2018 |
Huang J, Zhang Y, Arhonditsis GB, Gao J, Chen Q, Wu N, Dong F, Shi W. How successful are the restoration efforts of China's lakes and reservoirs? Environment International. 123: 96-103. PMID 30503972 DOI: 10.1016/J.Envint.2018.11.048 |
0.408 |
|
2018 |
Visha A, Gandhi N, Bhavsar SP, Arhonditsis GB. Assessing mercury contamination patterns of fish communities in the Laurentian Great Lakes: A Bayesian perspective. Environmental Pollution (Barking, Essex : 1987). PMID 30224205 DOI: 10.1016/J.Envpol.2018.07.070 |
0.426 |
|
2018 |
Visha A, Gandhi N, Bhavsar SP, Arhonditsis GB. A Bayesian assessment of polychlorinated biphenyl contamination of fish communities in the Laurentian Great Lakes. Chemosphere. 210: 1193-1206. PMID 30208545 DOI: 10.1016/J.Chemosphere.2018.07.070 |
0.465 |
|
2018 |
Onandia G, Lischeid G, Kalettka T, Kleeberg A, Omari M, Premke K, Arhonditsis GB. Biogeochemistry of natural ponds in agricultural landscape: Lessons learned from modeling a kettle hole in Northeast Germany. The Science of the Total Environment. 634: 1615-1630. PMID 29710657 DOI: 10.1016/J.Scitotenv.2018.04.014 |
0.47 |
|
2018 |
Doan PTK, Watson SB, Markovic S, Liang A, Guo J, Mugalingam S, Stokes J, Morley A, Zhang W, Arhonditsis GB, Dittrich M. Phosphorus retention and internal loading in the Bay of Quinte, Lake Ontario, using diagenetic modelling. The Science of the Total Environment. 636: 39-51. PMID 29702401 DOI: 10.1016/J.Scitotenv.2018.04.252 |
0.342 |
|
2018 |
Huang J, Arhonditsis GB, Gao J, Kim DK, Dong F. Towards the development of a modeling framework to track nitrogen export from lowland artificial watersheds (polders). Water Research. 133: 319-337. PMID 29455856 DOI: 10.1016/J.Watres.2018.01.011 |
0.409 |
|
2018 |
Robson BJ, Arhonditsis GB, Baird ME, Brebion J, Edwards KF, Geoffroy L, Hébert M, van Dongen-Vogels V, Jones EM, Kruk C, Mongin M, Shimoda Y, Skerratt JH, Trevathan-Tackett SM, Wild-Allen K, et al. Towards evidence-based parameter values and priors for aquatic ecosystem modelling Environmental Modelling & Software. 100: 74-81. DOI: 10.1016/J.Envsoft.2017.11.018 |
0.434 |
|
2018 |
Bruce LC, Frassl MA, Arhonditsis GB, Gal G, Hamilton DP, Hanson PC, Hetherington AL, Melack JM, Read JS, Rinke K, Rigosi A, Trolle D, Winslow L, Adrian R, Ayala AI, et al. A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network Environmental Modelling & Software. 102: 274-291. DOI: 10.1016/J.Envsoft.2017.11.016 |
0.462 |
|
2018 |
Ramin M, Cheng VY, Kim D, Ni FJ, Javed A, Kelly NE, Yang C, Midlane-Jones S, Mugalingam S, Arhonditsis GB. An Integrative Methodological Framework for Setting Environmental Criteria: Evaluation of Public Preferences Ecological Economics. 147: 298-311. DOI: 10.1016/J.Ecolecon.2018.01.009 |
0.438 |
|
2018 |
Kim D, Javed A, Yang C, Arhonditsis GB. Development of a mechanistic eutrophication model for wetland management: Sensitivity analysis of the interplay among phytoplankton, macrophytes, and sediment nutrient release Ecological Informatics. 48: 198-214. DOI: 10.1016/J.Ecoinf.2018.09.010 |
0.501 |
|
2018 |
Kim D, Ramin M, Cheng V, Javed A, Kaluskar S, Kelly N, Kobiliris D, Neumann A, Ni F, Peller T, Perhar G, Shimoda Y, Visha A, Wellen C, Yang C, ... ... Arhonditsis GB, et al. An integrative methodological framework for setting environmental criteria: Evaluation of stakeholder perceptions Ecological Informatics. 48: 147-157. DOI: 10.1016/J.Ecoinf.2018.08.005 |
0.785 |
|
2017 |
Hossain M, Stewart TJ, Arhonditsis GB, van Oevelen D, Minns CK, Koops MA. Uncertainty assessment of trophic flows in Hamilton Harbour: A linear inverse modelling analysis Aquatic Ecosystem Health & Management. 20: 265-277. DOI: 10.1080/14634988.2017.1342517 |
0.391 |
|
2017 |
Ni FJ, Kelly NE, Arhonditsis GB. Towards the development of an ecophysiological Daphnia model to examine effects of toxicity and nutrition Ecological Informatics. 41: 91-107. DOI: 10.1016/J.Ecoinf.2017.04.002 |
0.447 |
|
2017 |
Kim D, Kaluskar S, Mugalingam S, Blukacz-Richards A, Long T, Morley A, Arhonditsis GB. A Bayesian approach for estimating phosphorus export and delivery rates with the SPAtially Referenced Regression On Watershed attributes (SPARROW) model Ecological Informatics. 37: 77-91. DOI: 10.1016/J.Ecoinf.2016.12.003 |
0.471 |
|
2016 |
Blukacz-Richards EA, Visha A, Graham ML, McGoldrick DL, de Solla SR, Moore DJ, Arhonditsis GB. Mercury levels in herring gulls and fish: 42 years of spatio-temporal trends in the Great Lakes. Chemosphere. 172: 476-487. PMID 28092768 DOI: 10.1016/J.Chemosphere.2016.12.148 |
0.42 |
|
2016 |
Shimoda Y, Watson SB, Palmer ME, Koops MA, Mugalingam S, Morley A, Arhonditsis GB. Delineation of the role of nutrient variability and dreissenids (Mollusca, Bivalvia) on phytoplankton dynamics in the Bay of Quinte, Ontario, Canada. Harmful Algae. 55: 121-136. PMID 28073525 DOI: 10.1016/J.Hal.2016.02.005 |
0.462 |
|
2016 |
Watson SB, Miller C, Arhonditsis G, Boyer GL, Carmichael W, Charlton MN, Confesor R, Depew DC, Höök TO, Ludsin SA, Matisoff G, McElmurry SP, Murray MW, Peter Richards R, Rao YR, et al. The re-eutrophication of Lake Erie: Harmful algal blooms and hypoxia. Harmful Algae. 56: 44-66. PMID 28073496 DOI: 10.1016/J.Hal.2016.04.010 |
0.435 |
|
2016 |
Neumann A, Kim DK, Perhar G, Arhonditsis GB. Integrative analysis of the Lake Simcoe watershed (Ontario, Canada) as a socio-ecological system. Journal of Environmental Management. 188: 308-321. PMID 28002784 DOI: 10.1016/J.Jenvman.2016.11.073 |
0.781 |
|
2016 |
Gandhi N, Drouillard KG, Arhonditsis GB, Gewurtz SB, Bhavsar SP. Are Fish Consumption Advisories for the Great Lakes Adequately Protective from Chemical Mixture? Environmental Health Perspectives. PMID 27697747 DOI: 10.1289/Ehp104 |
0.344 |
|
2016 |
Rode M, Wade AJ, Cohen MJ, Hensley RT, Bowes MJ, Kirchner JW, Arhonditsis GB, Jordan P, Kronvang B, Halliday SJ, Skeffington R, Rozemeijer J, Aubert AH, Rinke K, Jomaa S. Sensors in the stream: the high-frequency wave of the present. Environmental Science & Technology. PMID 27570873 DOI: 10.1021/Acs.Est.6B02155 |
0.304 |
|
2016 |
Reed KF, Arhonditsis GB, France J, Kebreab E. Technical note: Bayesian calibration of dynamic ruminant nutrition models. Journal of Dairy Science. PMID 27179874 DOI: 10.3168/Jds.2015-10708 |
0.448 |
|
2016 |
Akhter M, Dutta Majumdar R, Fortier-McGill B, Soong R, Liaghati-Mobarhan Y, Simpson M, Arhonditsis G, Schmidt S, Heumann H, Simpson AJ. Identification of aquatically available carbon from algae through solution-state NMR of whole (13)C-labelled cells. Analytical and Bioanalytical Chemistry. PMID 27074782 DOI: 10.1007/S00216-016-9534-8 |
0.359 |
|
2016 |
Gandhi N, Bhavsar SP, Gewurtz SB, Drouillard KG, Arhonditsis GB, Petro S. Is it appropriate to composite fish samples for mercury trend monitoring and consumption advisories? Environment International. 88: 80-5. PMID 26724584 DOI: 10.1016/J.Envint.2015.11.013 |
0.33 |
|
2016 |
Cheng VYS, Arhonditsis GB, Sills DML, Gough WA, Auld H. Predicting the climatology of tornado occurrences in North America with a Bayesian hierarchical modeling framework Journal of Climate. 29: 1899-1917. DOI: 10.1175/Jcli-D-15-0404.1 |
0.376 |
|
2016 |
Kim D, Peller T, Gozum Z, Theÿsmeÿer T, Long T, Boyd D, Watson S, Rao YR, Arhonditsis GB. Modelling phosphorus dynamics in Cootes Paradise marsh: Uncertainty assessment and implications for eutrophication management Aquatic Ecosystem Health & Management. 19: 368-381. DOI: 10.1080/14634988.2016.1255097 |
0.468 |
|
2016 |
Arhonditsis GB, Kim DK, Shimoda Y, Zhang W, Watson S, Mugalingam S, Dittrich M, Geater K, McClure C, Keene B, Morley A, Richards A, Long T, Rao YR, Kalinauskas R. Integration of best management practices in the Bay of Quinte watershed with the phosphorus dynamics in the receiving waterbody: What do the models predict? Aquatic Ecosystem Health and Management. 19: 1-18. DOI: 10.1080/14634988.2016.1130566 |
0.461 |
|
2016 |
Brett MT, Arhonditsis GB. Modeling the dissolved oxygen response to phosphorus inputs in Lake Spokane: the fallacy of using complex over-parameterized models as the basis for TMDL decisions Lake and Reservoir Management. 32: 280-287. DOI: 10.1080/10402381.2016.1211911 |
0.36 |
|
2016 |
Brett MT, Ahopelto SK, Brown HK, Brynestad BE, Butcher TW, Coba EE, Curtis CA, Dara JT, Doeden KB, Evans KR, Fan L, Finley JD, Garguilo NJ, Gebreeyesus SM, Goodman MK, ... ... Arhonditsis GB, et al. The modeled and observed response of Lake Spokane hypolimnetic dissolved oxygen concentrations to phosphorus inputs Lake and Reservoir Management. 32: 246-258. DOI: 10.1080/10402381.2016.1170079 |
0.357 |
|
2016 |
Kim D, Kaluskar S, Mugalingam S, Arhonditsis GB. Evaluating the relationships between watershed physiography, land use patterns, and phosphorus loading in the bay of Quinte basin, Ontario, Canada Journal of Great Lakes Research. 42: 972-984. DOI: 10.1016/J.Jglr.2016.07.008 |
0.406 |
|
2016 |
Visha A, Gandhi N, Bhavsar SP, Arhonditsis GB. Guiding fish consumption advisories for Lake Ontario: A Bayesian hierarchical approach Journal of Great Lakes Research. 42: 70-82. DOI: 10.1016/J.Jglr.2015.11.005 |
0.427 |
|
2016 |
Watson SB, Miller C, Arhonditsis G, Boyer GL, Carmichael W, Charlton MN, Confesor R, Depew DC, Höök TO, Ludsin SA, Matisoff G, McElmurry SP, Murray MW, Peter Richards R, Rao YR, et al. The re-eutrophication of Lake Erie: Harmful algal blooms and hypoxia Harmful Algae. 56: 44-66. DOI: 10.1016/j.hal.2016.04.010 |
0.324 |
|
2016 |
Shimoda Y, Watson SB, Palmer ME, Koops MA, Mugalingam S, Morley A, Arhonditsis GB. Delineation of the role of nutrient variability and dreissenids (Mollusca, Bivalvia) on phytoplankton dynamics in the Bay of Quinte, Ontario, Canada Harmful Algae. 55: 121-136. DOI: 10.1016/j.hal.2016.02.005 |
0.356 |
|
2016 |
Cho E, Arhonditsis GB, Khim J, Chung S, Heo TY. Modeling metal-sediment interaction processes: Parameter sensitivity assessment and uncertainty analysis Environmental Modelling and Software. 80: 159-174. DOI: 10.1016/J.Envsoft.2016.02.026 |
0.415 |
|
2016 |
Sawyer JM, Arts MT, Arhonditsis G, Diamond ML. A general model of polyunsaturated fatty acid (PUFA) uptake, loss and transformation in freshwater fish Ecological Modelling. 323: 96-105. DOI: 10.1016/J.Ecolmodel.2015.12.004 |
0.382 |
|
2016 |
Shimoda Y, Arhonditsis GB. Phytoplankton functional type modelling: Running before we can walk? A critical evaluation of the current state of knowledge Ecological Modelling. 320: 29-43. DOI: 10.1016/J.Ecolmodel.2015.08.029 |
0.484 |
|
2016 |
Perhar G, Kelly NE, Ni FJ, Simpson MJ, Simpson AJ, Arhonditsis GB. Using Daphnia physiology to drive food web dynamics: A theoretical revisit of Lotka-Volterra models Ecological Informatics. 35: 29-42. DOI: 10.1016/J.Ecoinf.2016.07.001 |
0.798 |
|
2016 |
Gudimov A, McCulloch J, Chen J, Doan P, Arhonditsis G, Dittrich M. Modeling the interplay between deepwater oxygen dynamics and sediment diagenesis in a hard-water mesotrophic lake Ecological Informatics. 31: 59-69. DOI: 10.1016/J.Ecoinf.2015.11.005 |
0.358 |
|
2016 |
Shimoda Y, Rao YR, Watson S, Arhonditsis GB. Optimizing the complexity of phytoplankton functional group modeling: An allometric approach Ecological Informatics. 31: 1-17. DOI: 10.1016/J.Ecoinf.2015.11.001 |
0.487 |
|
2015 |
Gandhi N, Bhavsar SP, Tang R, Arhonditsis GB. Projecting fish mercury levels in the Province of Ontario, Canada and the implications for fish and human health. Environmental Science & Technology. PMID 26592742 DOI: 10.1021/Acs.Est.5B03943 |
0.332 |
|
2015 |
Cheng VY, Arhonditsis GB, Sills DM, Gough WA, Auld H. Erratum: A Bayesian modelling framework for tornado occurrences in North America. Nature Communications. 6: 7457. PMID 26044805 DOI: 10.1038/Ncomms8457 |
0.331 |
|
2015 |
Visha A, Gandhi N, Bhavsar SP, Arhonditsis GB. A Bayesian assessment of the mercury and PCB temporal trends in lake trout (Salvelinus namaycush) and walleye (Sander vitreus) from lake Ontario, Ontario, Canada. Ecotoxicology and Environmental Safety. 117: 174-86. PMID 25900434 DOI: 10.1016/J.Ecoenv.2015.03.022 |
0.462 |
|
2015 |
Cheng VY, Arhonditsis GB, Sills DM, Gough WA, Auld H. A Bayesian modelling framework for tornado occurrences in North America. Nature Communications. 6: 6599. PMID 25807465 DOI: 10.1038/Ncomms7599 |
0.399 |
|
2015 |
Wellen C, Kamran-Disfani AR, Arhonditsis GB. Evaluation of the current state of distributed watershed nutrient water quality modeling. Environmental Science & Technology. 49: 3278-90. PMID 25691078 DOI: 10.1021/Es5049557 |
0.778 |
|
2015 |
Gandhi N, Bhavsar SP, Reiner EJ, Chen T, Morse D, Arhonditsis GB, Drouillard KG. Evaluation and interconversion of various indicator PCB schemes for ∑PCB and dioxin-like PCB toxic equivalent levels in fish. Environmental Science & Technology. 49: 123-31. PMID 25488397 DOI: 10.1021/Es503427R |
0.313 |
|
2015 |
Gandhi N, Tang RWK, Bhavsar SP, Reiner EJ, Morse D, Arhonditsis GB, Drouillard K, Chen T. Is mirex still a contaminant of concern for the North American Great Lakes? Journal of Great Lakes Research. 41: 1114-1122. DOI: 10.1016/J.Jglr.2015.09.015 |
0.392 |
|
2015 |
Long T, Wellen C, Arhonditsis G, Boyd D, Mohamed M, O'Connor K. Estimation of tributary total phosphorus loads to Hamilton Harbour, Ontario, Canada, using a series of regression equations Journal of Great Lakes Research. 41: 780-793. DOI: 10.1016/J.Jglr.2015.04.001 |
0.708 |
|
2015 |
Perhar G, Arhonditsis GB. Development of a metabolite-driven daphnia ecophysiological model Ecological Informatics. 30: 82-96. DOI: 10.1016/J.Ecoinf.2015.09.002 |
0.795 |
|
2015 |
Shimoda Y, Arhonditsis GB. Integrating hierarchical Bayes with phosphorus loading modelling Ecological Informatics. 29: 77-91. DOI: 10.1016/J.Ecoinf.2015.07.005 |
0.468 |
|
2015 |
Onandia G, Gudimov A, Miracle MR, Arhonditsis G. Towards the development of a biogeochemical model for addressing the eutrophication problems in the shallow hypertrophic lagoon of Albufera de Valencia, Spain Ecological Informatics. 26: 70-89. DOI: 10.1016/J.Ecoinf.2015.01.004 |
0.512 |
|
2015 |
Gudimov A, Kim DK, Young JD, Palmer ME, Dittrich M, Winter JG, Stainsby E, Arhonditsis GB. Examination of the role of dreissenids and macrophytes in the phosphorus dynamics of Lake Simcoe, Ontario, Canada Ecological Informatics. 26: 36-53. DOI: 10.1016/J.Ecoinf.2014.11.007 |
0.444 |
|
2015 |
Janssen ABG, Arhonditsis GB, Beusen A, Bolding K, Bruce L, Bruggeman J, Couture RM, Downing AS, Alex Elliott J, Frassl MA, Gal G, Gerla DJ, Hipsey MR, Hu F, Ives SC, et al. Exploring, exploiting and evolving diversity of aquatic ecosystem models: a community perspective Aquatic Ecology. 49: 513-548. DOI: 10.1007/S10452-015-9544-1 |
0.459 |
|
2014 |
Gandhi N, Tang RW, Bhavsar SP, Arhonditsis GB. Fish mercury levels appear to be increasing lately: a report from 40 years of monitoring in the province of Ontario, Canada. Environmental Science & Technology. 48: 5404-14. PMID 24678891 DOI: 10.1021/Es403651X |
0.369 |
|
2014 |
Arhonditsis G, Giourga C, Loumou A. Ecological patterns and comparative nutrient dynamics of natural and agricultural mediterranean-type ecosystems. Environmental Management. 26: 527-37. PMID 10982730 DOI: 10.1007/S002670010110 |
0.407 |
|
2014 |
Gandhi N, Diamond ML, Razavi R, Bhavsar SP, Hodge EM, Gewurtz SB, Arhonditsis GB. A modeling assessment of contaminant fate in the Bay of Quinte, Lake Ontario: Part 2. Organic chemicals Aquatic Ecosystem Health and Management. 17: 137-150. DOI: 10.1080/14634988.2014.910442 |
0.385 |
|
2014 |
Wellen C, Arhonditsis GB, Long T, Boyd D. Quantifying the uncertainty of nonpoint source attribution in distributed water quality models: A Bayesian assessment of SWAT's sediment export predictions Journal of Hydrology. 519: 3353-3368. DOI: 10.1016/J.Jhydrol.2014.10.007 |
0.758 |
|
2014 |
Arhonditsis GB, Stow CA, Rao YR, Perhar G. What has been accomplished twenty years after the Oreskes et al. (1994) critique? Current state and future perspectives of environmental modeling in the Great Lakes Journal of Great Lakes Research. 40: 1-7. DOI: 10.1016/J.Jglr.2014.11.002 |
0.747 |
|
2014 |
Long T, Wellen C, Arhonditsis G, Boyd D. Evaluation of stormwater and snowmelt inputs, land use and seasonality on nutrient dynamics in the watersheds of Hamilton Harbour, Ontario, Canada Journal of Great Lakes Research. 40: 964-979. DOI: 10.1016/J.Jglr.2014.09.017 |
0.745 |
|
2014 |
Perhar G, Arhonditsis GB. Aquatic ecosystem dynamics following petroleum hydrocarbon perturbations: A review of the current state of knowledge Journal of Great Lakes Research. 40: 56-72. DOI: 10.1016/J.Jglr.2014.05.013 |
0.773 |
|
2014 |
Kim DK, Zhang W, Hiriart-Baer V, Wellen C, Long T, Boyd D, Arhonditsis GB. Towards the development of integrated modelling systems in aquatic biogeochemistry: A Bayesian approach Journal of Great Lakes Research. 40: 73-87. DOI: 10.1016/J.Jglr.2014.04.005 |
0.778 |
|
2014 |
Mahmood M, Blukacz-Richards EA, Baumann PC, McMaster M, Hossain M, Arhonditsis GB. A Bayesian methodological framework for setting fish tumor occurrence delisting criteria: A case study in St. Marys River area of concern Journal of Great Lakes Research. 40: 88-101. DOI: 10.1016/J.Jglr.2014.04.003 |
0.311 |
|
2014 |
Wellen C, Arhonditsis GB, Long T, Boyd D. Accommodating environmental thresholds and extreme events in hydrological models: A Bayesian approach Journal of Great Lakes Research. 40: 102-116. DOI: 10.1016/J.Jglr.2014.04.002 |
0.76 |
|
2014 |
Kim DK, Zhang W, Watson S, Arhonditsis GB. A commentary on the modelling of the causal linkages among nutrient loading, harmful algal blooms, and hypoxia patterns in Lake Erie Journal of Great Lakes Research. 40: 117-129. DOI: 10.1016/J.Jglr.2014.02.014 |
0.492 |
|
2014 |
Gandhi N, Bhavsar SP, Tang RWK, Drouillard KG, Arhonditsis GB. Significance of toxaphene in Great Lakes fish consumption advisories Journal of Great Lakes Research. 40: 71-79. DOI: 10.1016/J.Jglr.2013.12.017 |
0.4 |
|
2014 |
Wellen C, Arhonditsis GB, Labencki T, Boyd D. Application of the SPARROW model in watersheds with limited information: A Bayesian assessment of the model uncertainty and the value of additional monitoring Hydrological Processes. 28: 1260-1283. DOI: 10.1002/Hyp.9614 |
0.77 |
|
2013 |
Dittrich M, Chesnyuk A, Gudimov A, McCulloch J, Quazi S, Young J, Winter J, Stainsby E, Arhonditsis G. Phosphorus retention in a mesotrophic lake under transient loading conditions: insights from a sediment phosphorus binding form study. Water Research. 47: 1433-47. PMID 23290913 DOI: 10.1016/J.Watres.2012.12.006 |
0.314 |
|
2013 |
Cheng VYS, Arhonditsis GB, Sills DML, Auld H, Shephard MW, Gough WA, Klaassen J. Probability of Tornado occurrence across Canada Journal of Climate. 26: 9415-9428. DOI: 10.1175/Jcli-D-13-00093.1 |
0.348 |
|
2013 |
Mahmood M, Bhavsar SP, Arhonditsis GB. Examination of temporal DDT trends in Lake Erie fish communities using dynamic linear modeling Journal of Great Lakes Research. 39: 437-448. DOI: 10.1016/J.Jglr.2013.06.013 |
0.347 |
|
2013 |
Perhar G, Arhonditsis GB, Brett MT. Modeling zooplankton growth in Lake Washington: A mechanistic approach to physiology in a eutrophication model Ecological Modelling. 258: 101-121. DOI: 10.1016/J.Ecolmodel.2013.02.024 |
0.805 |
|
2013 |
Zhang W, Kim DK, Rao YR, Watson S, Mugalingam S, Labencki T, Dittrich M, Morley A, Arhonditsis GB. Can simple phosphorus mass balance models guide management decisions? A case study in the Bay of Quinte, Ontario, Canada Ecological Modelling. 257: 66-79. DOI: 10.1016/J.Ecolmodel.2013.02.023 |
0.527 |
|
2013 |
Kim DK, Zhang W, Rao YR, Watson S, Mugalingam S, Labencki T, Dittrich M, Morley A, Arhonditsis GB. Improving the representation of internal nutrient recycling with phosphorus mass balance models: A case study in the Bay of Quinte, Ontario, Canada Ecological Modelling. 256: 53-68. DOI: 10.1016/J.Ecolmodel.2013.02.017 |
0.497 |
|
2013 |
Mahmood M, Bhavsar SP, Arhonditsis GB. Fish contamination in Lake Erie: An examination of temporal trends of organochlorine contaminants and a Bayesian approach to consumption advisories Ecological Informatics. 18: 131-148. DOI: 10.1016/J.Ecoinf.2013.08.001 |
0.459 |
|
2013 |
Hossain MM, Perhar G, Arhonditsis GB, Matsuishi T, Goto A, Azuma M. Examination of the effects of largemouth bass (Micropterus salmoides) and bluegill (Lepomis macrochirus) on the ecosystem attributes of lake Kawahara-oike, Nagasaki, Japan Ecological Informatics. 18: 149-161. DOI: 10.1016/J.Ecoinf.2013.07.005 |
0.782 |
|
2013 |
Ramin M, Arhonditsis GB. Bayesian calibration of mathematical models: Optimization of model structure and examination of the role of process error covariance Ecological Informatics. 18: 107-116. DOI: 10.1016/J.Ecoinf.2013.07.001 |
0.418 |
|
2013 |
Perhar G, Arhonditsis GB, Brett MT. Modelling the role of highly unsaturated fatty acids in planktonic food web processes: Sensitivity analysis and examination of contemporary hypotheses Ecological Informatics. 13: 77-98. DOI: 10.1016/J.Ecoinf.2012.10.005 |
0.799 |
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2013 |
McCulloch J, Gudimov A, Arhonditsis G, Chesnyuk A, Dittrich M. Dynamics of P-binding forms in sediments of a mesotrophic hard-water lake: Insights from non-steady state reactive-transport modeling, sensitivity and identifiability analysis Chemical Geology. 354: 216-232. DOI: 10.1016/J.Chemgeo.2013.06.011 |
0.462 |
|
2012 |
Neff MR, Bhavsar SP, Arhonditsis GB, Fletcher R, Jackson DA. Long-term changes in fish mercury levels in the historically impacted English-Wabigoon River system (Canada). Journal of Environmental Monitoring : Jem. 14: 2327-37. PMID 22785387 DOI: 10.1039/C2Em30324H |
0.41 |
|
2012 |
Brett MT, Arhonditsis GB, Chandra S, Kainz MJ. Mass flux calculations show strong allochthonous support of freshwater zooplankton production is unlikely. Plos One. 7: e39508. PMID 22761808 DOI: 10.1371/Journal.Pone.0039508 |
0.333 |
|
2012 |
Gudimov A, O'Connor E, Dittrich M, Jarjanazi H, Palmer ME, Stainsby E, Winter JG, Young JD, Arhonditsis GB. Continuous Bayesian network for studying the causal links between phosphorus loading and plankton patterns in Lake Simcoe, Ontario, Canada. Environmental Science & Technology. 46: 7283-92. PMID 22676391 DOI: 10.1021/Es300983R |
0.449 |
|
2012 |
Perhar G, Arhonditsis GB, Brett MT. Modelling the role of highly unsaturated fatty acids in planktonic food web processes: A mechanistic approach Environmental Reviews. 20: 155-172. DOI: 10.1139/A2012-007 |
0.788 |
|
2012 |
Wellen C, Arhonditsis GB, Labencki T, Boyd D. A Bayesian methodological framework for accommodating interannual variability of nutrient loading with the SPARROW model Water Resources Research. 48. DOI: 10.1029/2012Wr011821 |
0.777 |
|
2012 |
Hossain M, Arhonditsis GB, Koops MA, Minns CK. Towards the development of an ecosystem model for the Hamilton Harbour, Ontario, Canada Journal of Great Lakes Research. 38: 628-642. DOI: 10.1016/J.Jglr.2012.09.015 |
0.473 |
|
2012 |
Ramin M, Labencki T, Boyd D, Trolle D, Arhonditsis GB. A Bayesian synthesis of predictions from different models for setting water quality criteria Ecological Modelling. 242: 127-145. DOI: 10.1016/J.Ecolmodel.2012.05.023 |
0.468 |
|
2012 |
Ramin M, Perhar G, Shimoda Y, Arhonditsis GB. Examination of the effects of nutrient regeneration mechanisms on plankton dynamics using aquatic biogeochemical modeling Ecological Modelling. 240: 139-155. DOI: 10.1016/J.Ecolmodel.2012.04.018 |
0.805 |
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2012 |
Perhar G, Arhonditsis GB. Examination of the role of detritus food quality, phytoplankton intracellular storage capacity, and zooplankton stoichiometry on planktonic dynamics Ecological Informatics. 11: 76-89. DOI: 10.1016/J.Ecoinf.2012.06.002 |
0.785 |
|
2012 |
Trolle D, Hamilton DP, Hipsey MR, Bolding K, Bruggeman J, Mooij WM, Janse JH, Nielsen A, Jeppesen E, Elliott JA, Makler-Pick V, Petzoldt T, Rinke K, Flindt MR, Arhonditsis GB, et al. A community-based framework for aquatic ecosystem models Hydrobiologia. 683: 25-34. DOI: 10.1007/S10750-011-0957-0 |
0.423 |
|
2012 |
Arhonditsis GB. Integration of Bayesian inference techniques with mathematical modeling Iemss 2012 - Managing Resources of a Limited Planet: Proceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society. 1359-1366. |
0.353 |
|
2011 |
Sadraddini S, Ekram Azim M, Shimoda Y, Mahmood M, Bhavsar SP, Backus SM, Arhonditsis GB. Temporal PCB and mercury trends in Lake Erie fish communities: a dynamic linear modeling analysis. Ecotoxicology and Environmental Safety. 74: 2203-14. PMID 21835464 DOI: 10.1016/J.Ecoenv.2011.07.031 |
0.472 |
|
2011 |
Ekram Azim M, Letchumanan M, Abu Rayash A, Shimoda Y, Bhavsar SP, Arhonditsis GB. Detection of temporal trends of α- and γ-chlordane in Lake Erie fish communities using dynamic linear modeling. Ecotoxicology and Environmental Safety. 74: 1107-21. PMID 21536330 DOI: 10.1016/J.Ecoenv.2011.04.019 |
0.391 |
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2011 |
Azim ME, Kumarappah A, Bhavsar SP, Backus SM, Arhonditsis G. Detection of the spatiotemporal trends of mercury in Lake Erie fish communities: a Bayesian approach. Environmental Science & Technology. 45: 2217-26. PMID 21329342 DOI: 10.1021/Es103054Q |
0.415 |
|
2011 |
Liu Y, Arhonditsis GB, Stow CA, Scavia D. Predicting the hypoxic-volume in Chesapeake Bay with the Streeter-Phelps model: A Bayesian approach Journal of the American Water Resources Association. 47: 1348-1363. DOI: 10.1111/J.1752-1688.2011.00588.X |
0.448 |
|
2011 |
Gudimov A, Ramin M, Labencki T, Wellen C, Shelar M, Shimoda Y, Boyd D, Arhonditsis GB. Predicting the response of Hamilton Harbour to the nutrient loading reductions: A modeling analysis of the "ecological unknowns" Journal of Great Lakes Research. 37: 494-506. DOI: 10.1016/J.Jglr.2011.06.006 |
0.744 |
|
2011 |
Sadraddini S, Azim ME, Shimoda Y, Bhavsar SP, Drouillard KG, Backus SM, Arhonditsis GB. A Bayesian assessment of the PCB temporal trends in Lake Erie fish communities Journal of Great Lakes Research. 37: 507-520. DOI: 10.1016/J.Jglr.2011.06.005 |
0.438 |
|
2011 |
Shimoda Y, Azim ME, Perhar G, Ramin M, Kenney MA, Sadraddini S, Gudimov A, Arhonditsis GB. Our current understanding of lake ecosystem response to climate change: What have we really learned from the north temperate deep lakes? Journal of Great Lakes Research. 37: 173-193. DOI: 10.1016/J.Jglr.2010.10.004 |
0.788 |
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2011 |
Ramin M, Stremilov S, Labencki T, Gudimov A, Boyd D, Arhonditsis GB. Integration of numerical modeling and Bayesian analysis for setting water quality criteria in Hamilton Harbour, Ontario, Canada Environmental Modelling and Software. 26: 337-353. DOI: 10.1016/J.Envsoft.2010.08.006 |
0.507 |
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2010 |
Sommerfreund J, Arhonditsis GB, Diamond ML, Frignani M, Capodaglio G, Gerino M, Bellucci L, Giuliani S, Mugnai C. Examination of the uncertainty in contaminant fate and transport modeling: A case study in the Venice Lagoon Ecotoxicology and Environmental Safety. 73: 231-239. PMID 19493571 DOI: 10.1016/J.Ecoenv.2009.05.008 |
0.462 |
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2010 |
Gudimov A, Stremilov S, Ramin M, Arhonditsis GB. Eutrophication risk assessment in Hamilton Harbour: System analysis and evaluation of nutrient loading scenarios Journal of Great Lakes Research. 36: 520-539. DOI: 10.1016/J.Jglr.2010.04.001 |
0.485 |
|
2010 |
Hossain MM, Matsuishi T, Arhonditsis G. Elucidation of ecosystem attributes of an oligotrophic lake in Hokkaido, Japan, using Ecopath with Ecosim (EwE) Ecological Modelling. 221: 1717-1730. DOI: 10.1016/J.Ecolmodel.2010.03.025 |
0.468 |
|
2010 |
Cheng V, Arhonditsis GB, Brett MT. A revaluation of lake-phosphorus loading models using a Bayesian hierarchical framework Ecological Research. 25: 59-76. DOI: 10.1007/S11284-009-0630-5 |
0.507 |
|
2010 |
Mooij WM, Trolle D, Jeppesen E, Arhonditsis G, Belolipetsky PV, Chitamwebwa DBR, Degermendzhy AG, DeAngelis DL, De Senerpont Domis LN, Downing AS, Elliott JA, Fragoso CR, Gaedke U, Genova SN, Gulati RD, et al. Challenges and opportunities for integrating lake ecosystem modelling approaches Aquatic Ecology. 44: 633-667. DOI: 10.1007/S10452-010-9339-3 |
0.445 |
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2010 |
Rode M, Arhonditsis G, Balin D, Kebede T, Krysanova V, van Griensven A, van der Zee SEATM. New challenges in integrated water quality modelling Hydrological Processes. 24: 3447-3461. DOI: 10.1002/Hyp.7766 |
0.485 |
|
2009 |
Kenney MA, Arhonditsis GB, Reiter LC, Barkley M, Reckhow KH. Using structural equation modeling and expert elicitation to select nutrient criteria variables for south-central Florida lakes Lake and Reservoir Management. 25: 119-130. DOI: 10.1080/02701960902821373 |
0.417 |
|
2009 |
Zhang W, Arhonditsis GB. A Bayesian hierarchical framework for calibrating aquatic biogeochemical models Ecological Modelling. 220: 2142-2161. DOI: 10.1016/J.Ecolmodel.2009.05.023 |
0.454 |
|
2009 |
Law T, Zhang W, Zhao J, Arhonditsis GB. Structural changes in lake functioning induced from nutrient loading and climate variability Ecological Modelling. 220: 979-997. DOI: 10.1016/J.Ecolmodel.2009.01.001 |
0.544 |
|
2009 |
Perhar G, Arhonditsis GB. The effects of seston food quality on planktonic food web patterns Ecological Modelling. 220: 805-820. DOI: 10.1016/J.Ecolmodel.2008.12.019 |
0.772 |
|
2008 |
Arhonditsis GB, Perhar G, Zhang W, Massos E, Shi M, Das A. Addressing equifinality and uncertainty in eutrophication models Water Resources Research. 44. DOI: 10.1029/2007Wr005862 |
0.791 |
|
2008 |
Zhang W, Arhonditsis GB. Predicting the frequency of water quality standard violations using Bayesian calibration of eutrophication models Journal of Great Lakes Research. 34: 698-720. DOI: 10.1016/S0380-1330(08)71612-5 |
0.507 |
|
2008 |
Arhonditsis GB, Papantou D, Zhang W, Perhar G, Massos E, Shi M. Bayesian calibration of mechanistic aquatic biogeochemical models and benefits for environmental management Journal of Marine Systems. 73: 8-30. DOI: 10.1016/J.Jmarsys.2007.07.004 |
0.805 |
|
2008 |
Zhao J, Ramin M, Cheng V, Arhonditsis GB. Plankton community patterns across a trophic gradient: The role of zooplankton functional groups Ecological Modelling. 213: 417-436. DOI: 10.1016/J.Ecolmodel.2008.01.016 |
0.436 |
|
2008 |
Zhao J, Ramin M, Cheng V, Arhonditsis GB. Competition patterns among phytoplankton functional groups: How useful are the complex mathematical models? Acta Oecologica. 33: 324-344. DOI: 10.1016/J.Actao.2008.01.007 |
0.453 |
|
2007 |
Stow CA, Reckhow KH, Qian SS, Lamon EC, Arhonditsis GB, Borsuk ME, Seo D. Approaches to evaluate water quality model parameter uncertainty for adaptive TMDL implementation Journal of the American Water Resources Association. 43: 1499-1507. DOI: 10.1111/J.1752-1688.2007.00123.X |
0.45 |
|
2007 |
Arhonditsis GB, Paerl HW, Valdes-Weaver LM, Stow CA, Steinberg LJ, Reckhow KH. Application of Bayesian structural equation modeling for examining phytoplankton dynamics in the Neuse River Estuary (North Carolina, USA) Estuarine, Coastal and Shelf Science. 72: 63-80. DOI: 10.1016/J.Ecss.2006.09.022 |
0.414 |
|
2007 |
Arhonditsis GB, Stow CA, Paerl HW, Valdes-Weaver LM, Steinberg LJ, Reckhow KH. Delineation of the role of nutrient dynamics and hydrologic forcing on phytoplankton patterns along a freshwater-marine continuum Ecological Modelling. 208: 230-246. DOI: 10.1016/J.Ecolmodel.2007.06.010 |
0.433 |
|
2007 |
Arhonditsis GB, Qian SS, Stow CA, Lamon EC, Reckhow KH. Eutrophication risk assessment using Bayesian calibration of process-based models: Application to a mesotrophic lake Ecological Modelling. 208: 215-229. DOI: 10.1016/J.Ecolmodel.2007.05.020 |
0.472 |
|
2007 |
Danielsdottir MG, Brett MT, Arhonditsis GB. Phytoplankton food quality control of planktonic food web processes Hydrobiologia. 589: 29-41. DOI: 10.1007/S10750-007-0714-6 |
0.377 |
|
2006 |
Arhonditsis GB, Adams-Vanharn BA, Nielsen L, Stow CA, Reckhow KH. Evaluation of the current state of mechanistic aquatic biogeochemical modeling: citation analysis and future perspectives. Environmental Science & Technology. 40: 6547-54. PMID 17144276 DOI: 10.1021/Es061030Q |
0.45 |
|
2006 |
Arhonditsis GB, Stow CA, Steinberg LJ, Kenney MA, Lathrop RC, McBride SJ, Reckhow KH. Exploring ecological patterns with structural equation modeling and Bayesian analysis Ecological Modelling. 192: 385-409. DOI: 10.1016/J.Ecolmodel.2005.07.028 |
0.472 |
|
2005 |
Brett MT, Mueller SE, Arhonditsis GB. A daily time series analysis of stream water phosphorus concentrations along an urban to forest gradient. Environmental Management. 35: 56-71. PMID 15984064 DOI: 10.1007/S00267-003-0310-0 |
0.375 |
|
2005 |
Brett MT, Arhonditsis GB, Mueller SE, Hartley DM, Frodge JD, Funke DE. Non-point-source impacts on stream nutrient concentrations along a forest to urban gradient. Environmental Management. 35: 330-42. PMID 15925975 DOI: 10.1007/S00267-003-0311-Z |
0.358 |
|
2005 |
Arhonditsis GB, Brett MT. Eutrophication model for Lake Washington (USA): Part I. Model description and sensitivity analysis Ecological Modelling. 187: 140-178. DOI: 10.1016/J.Ecolmodel.2005.01.040 |
0.511 |
|
2005 |
Arhonditsis GB, Brett MT. Eutrophication model for Lake Washington (USA): Part II - Model calibration and system dynamics analysis Ecological Modelling. 187: 179-200. DOI: 10.1016/J.Ecolmodel.2005.01.039 |
0.51 |
|
2004 |
Arhonditsis GB, Winder M, Brett MT, Schindler DE. Patterns and mechanisms of phytoplankton variability in Lake Washington (USA). Water Research. 38: 4013-27. PMID 15380991 DOI: 10.1016/J.Watres.2004.06.030 |
0.402 |
|
2004 |
Nikolaou AD, Golfinopoulos SK, Arhonditsis GB, Kolovoyiannis V, Lekkas TD. Modeling the formation of chlorination by-products in river waters with different quality. Chemosphere. 55: 409-20. PMID 14987940 DOI: 10.1016/J.Chemosphere.2003.11.008 |
0.382 |
|
2004 |
Arhonditsis G, Eleftheriadou M, Karydis M, Tsirtsis G. Eutrophication risk assessment in coastal embayments using simple statistical models. Marine Pollution Bulletin. 46: 1174-8. PMID 12932499 DOI: 10.1016/S0025-326X(03)00165-6 |
0.478 |
|
2004 |
Arhonditsis GB, Brett MT. Evaluation of the current state of mechanistic aquatic biogeochemical modeling Marine Ecology Progress Series. 271: 13-26. DOI: 10.3354/Meps271013 |
0.459 |
|
2004 |
Nikolaou AD, Golfinopoulos SK, Lekkas TD, Arhonditsis GB. Factors affecting the formation of organic by-products during water chlorination: A bench-scale study Water, Air, and Soil Pollution. 159: 357-371. DOI: 10.1023/B:Wate.0000049189.61762.61 |
0.318 |
|
2003 |
Arhonditsis G, Karydis M, Tsirtsis G. Analysis of phytoplankton community structure using similarity indices: a new methodology for discriminating among eutrophication levels in coastal marine ecosystems. Environmental Management. 31: 619-32. PMID 12719892 DOI: 10.1007/S00267-002-2903-4 |
0.403 |
|
2003 |
Arhonditsis G, Brett MT, Frodge J. Environmental control and limnological impacts of a large recurrent spring bloom in Lake Washington, USA. Environmental Management. 31: 603-18. PMID 12719891 DOI: 10.1007/S00267-002-2891-4 |
0.414 |
|
2002 |
Arhonditsis G, Giourga C, Loumou A, Koulouri M. Quantitative assessment of agricultural runoff and soil erosion using mathematical modeling: applications in the Mediterranean region. Environmental Management. 30: 434-53. PMID 12148076 DOI: 10.1007/S00267-001-2692-1 |
0.426 |
|
2002 |
Golfinopoulos SK, Arhonditsis GB. Quantitative assessment of trihalomethane formation using simulations of reaction kinetics. Water Research. 36: 2856-68. PMID 12146874 DOI: 10.1016/S0043-1354(01)00509-7 |
0.347 |
|
2002 |
Golfinopoulos SK, Arhonditsis GB. Multiple regression models: a methodology for evaluating trihalomethane concentrations in drinking water from raw water characteristics. Chemosphere. 47: 1007-18. PMID 12108692 DOI: 10.1016/S0045-6535(02)00058-9 |
0.39 |
|
2002 |
Arhonditsis G, Tsirtsis G, Karydis M. The effects of episodic rainfall events to the dynamics of coastal marine ecosystems: applications to a semi-enclosed gulf in the Meditteranean Sea Journal of Marine Systems. 35: 183-205. DOI: 10.1016/S0924-7963(02)00081-7 |
0.484 |
|
2000 |
Arhonditsis G, Tsirtsis G, Angelidis M, Karydis M. Quantification of the effects of nonpoint nutrient sources to coastal marine eutrophication: applications to a semi-enclosed gulf in the Mediterranean Sea Ecological Modelling. 129: 209-227. DOI: 10.1016/S0304-3800(00)00239-8 |
0.461 |
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