Abstract
Water quality degradation in reservoirs, as well as essential detailed analyses of limnological data and landscape analysis have gained much attention in recent decades. We implemented basic quality tools from the Plan–Do–Check–Act (PDCA) cycle to improve water management in the Barra Bonita Reservoir (Southwestern Brazil). These tools generated useful information concerning the causes of non-conformity of limnological variables with guideline values and the landscape pattern. We evaluated nine variables: biological oxygen demand (BOD5,20), dissolved oxygen (DO), pH, thermotolerant coliforms (FC), total phosphorus (TP), ammoniacal nitrogen (NH4), nitrate (NO3), nitrite (NO2), and turbidity (Turb). Three sampling stations were considered: two upstream (P1 and P2) and one downstream (P3). Limnological data (2007–2017) were obtained from sampling campaigns carried out in January, March, May, July, September and November of each year. Four quality tools were used: (i) Check List; (ii) Ishikawa Diagram; (iii) Pareto Diagram; and (iv) the Gravity–Urgency–Tendency (GUT) Matrix. As reported by the Check Sheet, the upstream rivers showed higher levels of non-conformity of limnological variables. The Pareto Chart showed that TP, DO, FC, and BOD5,20 correspond to 84.46% of non-conformities. According to the Ishikawa Diagram, and the Distance to Nature index (D2N), the water quality loss drivers correspond to sewage input (mainly from the Tietê river due to basic sanitation issues), non-point pollution, and intense anthropogenic land use. According to the GUT Matrix, the limnological variables of highest concern were the TP and FC, followed by BOD5,20. We explored the possibility of using quality tools to analyze reservoir data.
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Data for this research were available due to the Companhia Ambiental do Estado de São Paulo open base. The data that support the findings of this study are available from the corresponding author, upon reasonable request.
The authors confirm that the data supporting the findings of this study are available within the article and openly available in Cetesb site at https://cetesb.sp.gov.br/aguas-interiores/publicacoes-e-relatorios/.
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References
Adams W, Blust R, Dwyer R, Mount D, Nordheim E, Rodriguez PH, Spry D (2020) Bioavailability assessment of metals in freshwater environments: a historical review. Environ Toxicol Chem 39:48–59. https://doi.org/10.1002/etc.4558
Alcântara E, Bernardo N, Rodrigues T, Watanabe F (2017) Modeling the spatio-temporal dissolved organic carbon concentration in Barra Bonita reservoir using OLI/Landsat-8 images. Model Earth Syst Environ 3(11):1–6. https://doi.org/10.1007/s40808-017-0275-2
Alegre H, Coelho ST, Covas DIC, Almeida M, do C, Cardoso A (2013) A utility-tailored methodology for integrated asset management of urban water infrastructure. Water Supply, 13: 1444–1451. https://doi.org/10.2166/ws.2013.108
Almeida D, André M, Scariot EC, Fushita AT, dos Santos JE, Bogaert J (2018) Temporal change of Distance to Nature index for anthropogenic influence monitoring in a protected area and its buffer zone. Ecol Indic 91:189–194. https://doi.org/10.1016/j.ecolind.2018.03.055
Arhonditsis GB, Neumann A, Shimoda Y, Kim DK, Dong F, Onandia G, Yang C, Javed A, Brady M, Visha A, Ni F, Cheng V (2019) 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. Ecol Inform 53:100968. https://doi.org/10.1016/j.ecoinf.2019.05.014
Bamford DR, Greatbanks RW (2005) The use of quality management tools and techniques: a study of application in everyday situations. Int J Qual Reliab Manag 22:376–392. https://doi.org/10.1108/02656710510591219
Bauer, J. E., Duffy, G., Westcott, R. T. (2006). The Quality Improvement Handbook. ASQ Quality Press.
Bereskie T, Rodriguez MJ, Sadiq R (2017) Drinking water management and governance in Canada: an innovative plan-do-check-act (PDCA) framework for a safe drinking water supply. Environ Manage 60:243–262. https://doi.org/10.1007/s00267-017-0873-9
Bianchini I, Fushita ÂT, Cunha-Santino MB (2019) Evaluating the retention capacity of a new subtropical run-of-river reservoir. Environ Monit Assess 191:161. https://doi.org/10.1007/s10661-019-7295-5
Bianchini Junior I, da Cunha-Santino MB (2018) Reservoir management: an opinion to how the scientific community can contribute. Acta Limnol Bras 30:e301. https://doi.org/10.1590/s2179-975x13217
Burkhard B, Kroll F, Müller F, Windhorst W (2009) Landscapes’ capacities to provide ecosystem services-a concept for land-cover based assessments. Landscape Online 15:1–22. https://doi.org/10.3097/LO.200915
Buzelli GM, Cunha-Santino MB (2013) Análise e diagnóstico da qualidade da água e estado trófico do reservatório de Barra Bonita. SP Rev Ambiente Amp Água 8:186–205. https://doi.org/10.4136/ambi-agua.930
Chang C-L, Yu Z-E (2020) Application of water quality model to analyze pollution hotspots and the impact on reservoir eutrophication. Environ Monit Assess 192:495. https://doi.org/10.1007/s10661-020-08463-3
Conceição FT, Fernandes AM, Hissler C, Lupinacci CM, Menegário AA, Moruzzi RB (2020) Multi-tracer analysis to estimate the historical evolution of pollution in riverbed sediment of subtropical watershed, the lower course of the Piracicaba River, São Paulo. Brazil Sci Total Environ 743:140730. https://doi.org/10.1016/j.scitotenv.2020.140730
Cunha DGF, Calijuri M. do C., Lamparelli MC, Menegon Jr N (2013) CONAMA Framework Resolution 357/2005: spatial and temporal analysis of water quality legal compliances in rivers and reservoirs from São Paulo state, Brazil (2005-2009). Eng. Sanit. E Ambient, 18, 159–168. https://doi.org/10.1590/S1413-41522013000200008
Cunha DGF, Sabogal-Paz LP, Dodds WK (2016) Land use influence on raw surface water quality and treatment costs for drinking supply in São Paulo State (Brazil). Ecol Eng 94:516–524. https://doi.org/10.1016/j.ecoleng.2016.06.063
Cunha-Santino MB, Fushita ÂT, Bianchini I (2017) A modeling approach for a cascade of reservoirs in the Juquiá-Guaçu River (Atlantic Forest, Brazil). Ecol Model 356:48–58. https://doi.org/10.1016/j.ecolmodel.2017.04.008
Garlapati D, Charankumar B, Ramu K, Madeswaran P, Ramana Murthy MV (2019) A review on the applications and recent advances in environmental DNA (eDNA) metagenomics. Rev Environ Sci Biotechnol 18:389–411. https://doi.org/10.1007/s11157-019-09501-4
Gunkel G, Selge F, Keitel J, Lima D, Calado S, Sobral M, Rodriguez M, Matta E, Hinkelmann R, Casper P, Hupfer M (2018) Water management and aquatic ecosystem services of a tropical reservoir (Itaparica, São Francisco, Brazil). Reg Environ Change 18:1913–1925. https://doi.org/10.1007/s10113-018-1324-8
Hasanzadeh SK, Saadatpour M, Afshar A (2020) A fuzzy equilibrium strategy for sustainable water quality management in river-reservoir system. J Hydrol 586:124892. https://doi.org/10.1016/j.jhydrol.2020.124892
Härdle WH, Simar L (2015) Applied multivariate statistical analysis. Springer-Verlag, Berlin Heidelberg, p 580p
Huang WD, Liu J, LQin X, Yu ZQ, Wang TI, Luo KJ, Miao Y (2019) Application of causal analysis to the safety management of urban water environment treatment project. In: IOP Conference Series: Earth and Environmental Science. IOP Publishing, 012161.
Karaouzas I, Kapetanaki N, Mentzafou A, Kanellopoulos TD, Skoulikidis N (2021) Heavy metal contamination status in Greek surface waters: a review with application and evaluation of pollution indices. Chemosphere 263:128192. https://doi.org/10.1016/j.chemosphere.2020.128192
Matsumura-Tundisi T, Tundisi JG (2005) Plankton richness in a eutrophic reservoir (Barra Bonita Reservoir, SP, Brazil). Hydrobiologia 542:367–378. https://doi.org/10.1007/s10750-004-9461-0
Maznah WW, Makhlough A (2015) Water quality of tropical reservoir based on spatio-temporal variation in phytoplankton composition and physico-chemical analysis. Int J Environ Sci Technol 12(7):2221–2232. https://doi.org/10.1007/s13762-014-0610-3
Mei JY, Zhang MB, Zhou B (2019) Research on the hydrological emergency monitoring system of high-risk Barrier Lake based on PDCA theory. In: IOP Conference Series: Earth Environ Sci. IOP Publishing, 012103.
Miles EJ (2008) The SSC cycle: a PDCA approach to address site-specific characteristics in a continuous shallow water quality monitoring project. J Environ Monit 10:604–611. https://doi.org/10.1039/B717406C
Namugize JN, Jewitt GPW (2018) Sensitivity analysis for water quality monitoring frequency in the application of a water quality index for the uMngeni River and its tributaries, KwaZulu-Natal. South Africa Water SA 44. https://doi.org/10.4314/wsa.v44i4.01
Navarro-Llácer C, Baeza D, las Heras, J. (2010) Assessment of regulated rivers with indices based on macroinvertebrates, fish and riparian forest in the southeast of Spain. Ecol Indic 10(5):935–942. https://doi.org/10.1016/j.ecolind.2010.02.003
Nogueira MG, Perchibe-Neves G, Naliato DO, Casanova SMC, Debastiani-Júnior JR, Espíndola EG (2021) Limnology and water quality in La Plata basin (South America)–Spatial patterns and major stressors. Ecol Indic 120:106968. https://doi.org/10.1016/j.ecolind.2020.106968
Oliveira KL, Ramos RL, Oliveira SC, Christofaro C (2021) Spatial variability of surface water quality in a large Brazilian semiarid reservoir and its main tributaries. Environ Monit Assess 193(7):1–15. https://doi.org/10.1007/s10661-021-09194-9
Penteado CL de C., Almeida DL, Benassi RF, Penteado CL de C., Almeida DL, Benassi RF (2017) Conflitos hídricos na gestão dos reservatórios Billings e Barra Bonita. Estud Av, 31: 299–322. https://doi.org/10.1590/s0103-40142017.31890023
R Core Team (2020 24 January 2020). R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, from https://www.R-project.org/.
Realyvásquez-Vargas A, Arredondo-Soto KC, Carrillo-Gutiérrez T, Ravelo G (2018) Applying the Plan-Do-Check-Act (PDCA) cycle to reduce the defects in the manufacturing industry. A Case Study Applied Sciences 8:2181. https://doi.org/10.3390/app8112181
Rietzler AC, Botta CR, Ribeiro MM, Rocha O, Fonseca AL (2018) Accelerated eutrophication and toxicity in tropical reservoir water and sediments: an ecotoxicological approach. Environ Sci Pollut Res 25:13292–13311. https://doi.org/10.1007/s11356-016-7719-5
Rocha L, Hegoburu C, Torremorell A, Feijoó C, Navarro E, Fernández HR (2020) Use of ecosystem health indicators for assessing anthropogenic impacts on freshwaters in Argentina: a review. Environ Monit Assess 192:611. https://doi.org/10.1007/s10661-020-08559-w
Rüdisser J, Tasser E, Tappeiner U (2012) Distance to nature—a new biodiversity relevant environmental indicator set at the landscape level. Ecol Indic 15:208–216. https://doi.org/10.1016/j.ecolind.2011.09.027
Rüdisser J, Walde J, Tasser E, Frühauf J, Teufelbauer N, Tappeiner U (2015) Biodiversity in cultural landscapes: influence of land use intensity on bird assemblages. Landsc Ecol 30:1851–1863. https://doi.org/10.1007/s10980-015-0215-3
Rudra RP, Mekonnen BA, Shukla R, Shrestha NK, Goel PK, Daggupati P, Biswas A (2020) Currents status, challenges, and future directions in identifying critical source areas for non-point source pollution in Canadian conditions. Agriculture 10:468. https://doi.org/10.3390/agriculture10100468
Saadatpour M (2020) An adaptive surrogate assisted CE-QUAL-W2 model embedded in hybrid NSGA-II_ AMOSA algorithm for reservoir water quality and quantity management. Water Resour Manag 34:1437–1451. https://doi.org/10.1007/s11269-020-02510-x
Sánchez AS (2020) Technical and economic feasibility of phosphorus recovery from wastewater in São Paulo’s Metropolitan Region. J Water Process Eng 38:101537. https://doi.org/10.1016/j.jwpe.2020.101537
Silva C, Matos JS, Rosa MJ (2016) A comprehensive approach for diagnosing opportunities for improving the performance of a WWTP. Water Sci Technol 74:2935–2945. https://doi.org/10.2166/wst.2016.432
Silva DAL, Delai I, Castro MAS, Ometto AR (2013) Quality tools applied to cleaner production programs: a first approach toward a new methodology. J Clean Prod 47:174–187. https://doi.org/10.1016/j.jclepro.2012.10.026
Silva FL, Oliveira-Andreoli ÉZ, Machado R, Teodoro CC, López FMA, Fushita AT, Cunha-Santino MB, Bianchini I Jr (2019) Aspects that should be considered in a possible revision of the Brazilian guideline Conama resolution 357/05. MOJ Ecol Environ Sci 4:195–197
Silva FL, Stefani MS, Smith WS, Schiavone DC, Cunha-Santino MB, Bianchini I Jr (2020) An applied ecological approach for the assessment of anthropogenic disturbances in urban wetlands and the contributor river. Ecol Complex 43:100852. https://doi.org/10.1016/j.ecocom.2020.100852
Smith WS, Silva FL, Biagioni RC (2019) River dredging: when the public power ignors the causes, biodiversity and science. Amb Soc 22:e00571. https://doi.org/10.1590/1809-4422asoc0057r1vu19l1ao
Soković M, Jovanović J, Krivokapić Z, Vujović A (2009) Basic Quality Tools in Continuous Improvement Process. J Mech Eng 55:333–341
Sokovic M, Pavletic D, Pipan KK (2010) Quality improvement methodologies—PDCA cycle, RADAR matrix, DMAIC, and DFSS. J Achiev Mater Manuf Eng 43(1):476–483
Tufail M, Ormsbee L (2009) Optimal water quality management strategies for urban watersheds using macrolevel simulation and optimization models. J Water Resour Plan Manag 135:276–285. https://doi.org/10.1061/(ASCE)0733-9496(2009)135:4(276)
Valera CA, Pissarra TCT, Valle Júnior RFD, Oliveira CF, Moura JP, Sanches Fernandes LF, Pacheco FAL (2019) The buffer capacity of riparian vegetation to control water quality in anthropogenic catchments from a legally protected area: a critical view over the Brazilian new forest code. Water 11(3):549. https://doi.org/10.3390/w11030549
Tundisi JG, Matsumura-Tundisi T, Abe DS (2008) The ecological dynamics of Barra Bonita (Tietê River, SP, Brazil) reservoir: implications for its biodiversity. Braz J Biol 68:1079–1098. https://doi.org/10.1590/S1519-69842008000500015
Watanabe F, Alcântara E, Rodrigues T, Rotta L, Bernardo N, Imai N, Watanabe F, Alcântara E, Rodrigues T, Rotta L, Bernardo N, Imai N (2018) Remote sensing of the chlorophyll-a based on OLI/Landsat-8 and MSI/Sentinel-2A (Barra Bonita reservoir, Brazil). An Acad Bras Ciênc 90:1987–2000. https://doi.org/10.1590/0001-3765201720170125
Watanabe F, Rodrigues T, Bernardo N, Alcântara E, Imai N (2016) Drought can cause phytoplankton growth intensification in Barra Bonita reservoir. Model Earth Syst Environ 2:134. https://doi.org/10.1007/s40808-016-0193-8
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The authors are grateful to the reviewer for his/her comments, as well Dr. Welber Senteio Smith, Dr. Ricardo Hideo Takiwaki and Dr. Gilmar Perbiche Neves, for the valuable suggestions.
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Financial support was provided by the National Council of Technological and Scientific Development (Process: 158927/2018–4).
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da Silva, F.L., Fushita, Â.T., da Cunha-Santino, M.B. et al. Adopting basic quality tools and landscape analysis for applied limnology: an approach for freshwater reservoir management. Sustain. Water Resour. Manag. 8, 65 (2022). https://doi.org/10.1007/s40899-022-00655-8
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DOI: https://doi.org/10.1007/s40899-022-00655-8