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E. Martínez-Tavera P.F. Rodríguez-Espinosa S.S. Morales García M.P. Jonathan N.P. Muñoz Sevilla

Environmental signature of a rural- urban river to identification of potential sources of contamination ; Basin High Atoyac, Puebla-Tlaxcala, Mexico. E. Martínez-Tavera P.F. Rodríguez-Espinosa S.S. Morales García M.P. Jonathan N.P. Muñoz Sevilla. CONTENT. Abstract .

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E. Martínez-Tavera P.F. Rodríguez-Espinosa S.S. Morales García M.P. Jonathan N.P. Muñoz Sevilla

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  1. Environmentalsignature of a rural-urbanriver to identification of potentialsources of contamination; Basin High Atoyac, Puebla-Tlaxcala, Mexico. E. Martínez-Tavera P.F. Rodríguez-Espinosa S.S. Morales García M.P. Jonathan N.P. Muñoz Sevilla

  2. CONTENT • Abstract. • Introduction. • Methodology: studyarea, materials and methods, • Results 5. Conclutions.

  3. ABSTRACT • Thecharacterization of a rural-urbanriverthroughtheintegration of physicochemicalparameters(Environmentalsignature) enablesus: • deducepotentialsources of contamination • determine thebehabioracrossthebasin as a toolforthemeasurement • monitoring of waterquality • management of waterresources • in one of themostpollutedrivers in México. • Thegeographicallocalization of thetreatmentplants and themostimportantdischargeswerecorrelated in time and space

  4. INTRODUCTION

  5. INTRODUCTION

  6. Thisstudyispart of a proyect: "STUDIES NETWORK MONITORING STATIONS FOR THE PRESERVATION, CONSERVATION AND IMPROVING WATER QUALITY IN THE UPPER BASIN ATOYAC" fundedbytheGovernment of Puebla State to promotetheclean up the High Atoyac basin.

  7. METODOLOGY • STUDY AREA

  8. METODOLOGY • STUDY AREA PopulationGrowth POPULATION TOTAL HIGH ATOYAC BASIN Population in the High Atoyac Basin PUEBLA Population in the High Atoyac Basin TLAXCALA Population in urban areas of the High Atoyac Basin P Population in urban areas of the High Atoyac Basin T CENSOS INEGI

  9. MATERIALS AND METHODS • Parameter Identification and Analysis Methods Table 1. Parameters measured in the field and laboratory during sampling campaigns.

  10. RESULTS Dryseason, April 2013

  11. RESULTS Rainyseason, September 2013

  12. RESULTS Río Atoyac (A) Río Zahuapan (Z) CA6 CZ67 CA10 CZ66 CP200 CP201 CA23 CZ17 CP202 CAZ20 CP203 CAZ27HA CAZ27HB CP204 Río Rabanillo - Atlaco CP205 CP206 CAZ27 Río Atoyac – Zahuapan (AZ) CAZ630 Río San Francisco CATAZ80 CSFAZ79 Río Alseseca CAZ33 CAZ39 Cortina de la Presa Presa Manuel Ávila Camacho (P) Winter season, February 2014

  13. I Zahuapanriver • II Atoyac river • III Atoyac riveraftertheconfluencewiththeZahuapan • IV Manuel Ávila Camacho (Valsequillo) Dam RESULTS DRY SEASON

  14. (Villasana et al., 2009) Correlación -0.66 (Cieszynka et al., 2012) Correlación 0.77 (Almeida et al., 1997 en Cieszynka et al., 2012) RESULTS DRY SEASON (Mohan y Omana, 2007 en Jindal y Sharma, 2011) (Reynolds y Ahmad, 1997)

  15. RESULTS DRY SEASON

  16. RESULTS RAINY SEASON

  17. RESULTS RAINY SEASON

  18. Results obtained in the sampling campaigns in the Atoyacriver: Dryseason, april 2013 Informationfor: Martinez-Tavera et al., (beingprepared) EnvironmentalMonitoring and Assessment Rainyseason, september 2013 Winter season(criticalpoints), february 2014 Informationfor: Martinez-Tavera et al., (beingprepared) WaterResearch

  19. (Villasana et al., 2009) Correlación 0.77 (Almeida et al., 1997 en Cieszynka et al., 2012) RESULTS WINTER SEASON (Reynolds y Ahmad, 1997)

  20. RESULTS WINTER SEASON

  21. RESULTS ALGORITHM OF PHYSICOCHEMICAL PARAMETERS OF REGISTRATION IN FIELD APPRF

  22. RESULTS ALGORITHM OF PHYSICOCHEMICAL PARAMETERS OF REGISTRATION IN FIELD APPRF ALGORITHM OF PHYSICOCHEMICAL PARAMETERS DETERMINETED IN LABORATORY APPDL

  23. RESULTS

  24. RESULTS

  25. RESULTS

  26. RESULTS

  27. RESULTS • I Zahuapanriver • II Atoyac river • III Atoyac riveraftertheconfluencewiththeZahuapan • IV Manuel Ávila Camacho (Valsequillo) Dam

  28. AR Atoyac River MD Municipal discharge ID Industrial discharge TD TreatmentPlant (CONAGUA, 2008)

  29. (CONAGUA, 2008)

  30. (CONAGUA, 2008)

  31. (CONAGUA, 2008)

  32. TP (CONAGUA, 2008)

  33. TP TP (CONAGUA, 2008)

  34. (CONAGUA, 2008)

  35. Barranca Honda Barranca Honda Brainand controller Sampler pH, l, OD, T, ORP, SAC Ecoparque Display Barranca del Conde

  36. CONCLUSIONS Registration seven physicochemical parameters field (T, pH, λ, OD, , ORP, TURB.)that correlated with three determined in laboratory (BOD5, COD and TSS) were identified, enabling trace concentration of the latter with a correlation coefficient of 0.87 in the dry season to a linear function with 46 points; 0.92 in the rainy season and 0.96 in winter. Correlations between the different parameters (λ vs DST, SAC vs BOD5, COD vs. BOD5, DO vs BOD5, vs OJ T) as well as the state of art shows were found; however they are not applicable for all seasons.

  37. CONCLUSIONS The environmental signature generated by algorithms physicochemical parameters of registration field and laboratory determination generate a graphical representation of the behavior of the basin which was corroborated by the location in time and space the different sources of pollution: industrial and urban use, as well as the main treatment plant.

  38. CONCLUSIONS The utility simplify measurement of parameters of water through core parameters Instantly helps us to provide early warning of pollution events and optimization of water resources as well as to determine the water quality of the river in a way Atoyac fast, reliable and environmentally friendly.

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