WATER QUALITY ANALYSIS AND MODELING OF AMBALANGA RIVER PRESENTED BY: JUAN RAFAEL ANGELES JESSICA M....
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Transcript of WATER QUALITY ANALYSIS AND MODELING OF AMBALANGA RIVER PRESENTED BY: JUAN RAFAEL ANGELES JESSICA M....
Water Quality Analysis and Modeling of ambalanga river
Water Quality Analysis and Modeling of ambalanga riverPRESENTED BY:JUAN RAFAEL ANGELESJESSICA M. JUNIOMARIAN MAE MELLIZASIAN KEITH RELUCIOMARY JOY TO
The STUDY AREAAmbalanga RiverLocated in Itogon, BenguetTributary to Agno RiverSeveral mining sites within the areaUnder reclassification (last classified in 1993)
THREATMONITORING PLANSAMPLINGDATA COLLECTIONLAB TESTINGASSESSMENTRESULTS THE STUDY AREABACKGROUND INFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TO1
MODELLINGTHREATMONITORING PLANSAMPLINGDATA COLLECTIONLAB TESTINGASSESSMENTRESULTSTHE STUDY AREA BACKGROUND INFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGBACKGROUND INFORMATION
THREATMONITORING PLANSAMPLINGDATA COLLECTIONLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGTHREAT
While the industry has brought economic benefits, it has also taken its toll on the environment (Briones, 1987).
Mining waste may contain heavy metals which pose harm to the environment (AFRIM, 2012).
The mines discharge the tailings into neighboring creeks; thus, downstream of the mines all streams are polluted to varying degrees (Briones, 1987).
Therefore, it is critical to monitor the concentration of heavy metals.THREAT MONITORING PLANSAMPLINGDATA COLLECTIONLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGMONITORING PLANCollection of Historical DataIdentification of Sampling SitesStream Visual Assessment ProtocolSampling of Surface waterSampling from Point SourcesLab TestingComparing with DAO 34Assessment
THREAT MONITORING PLANSAMPLINGDATA COLLECTIONLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGHistorical Data
6THREAT MONITORING PLANSAMPLINGDATA COLLECTIONLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGHistorical Data
7THREAT MONITORING PLANSAMPLINGDATA COLLECTIONLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGHistorical Data
8THREAT MONITORING PLANSAMPLINGDATA COLLECTIONLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGHistorical Data
9THREAT MONITORING PLANSAMPLINGDATA COLLECTIONLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGHistorical Data
10THREAT MONITORING PLANSAMPLINGDATA COLLECTIONLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGHistorical Data
11THREAT MONITORING PLANSAMPLINGDATA COLLECTIONLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGHistorical Data
DISSOLVED OXYGEN12THREAT MONITORING PLANSAMPLINGDATA COLLECTIONLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGHistorical Data
pH LEVEL13THREAT MONITORING PLANSAMPLINGDATA COLLECTIONLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGHistorical Data
TOTAL DISSOLVED SOLIDS14THREATMONITORING PLAN SAMPLINGDATA COLLECTIONLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGSAMPLING LOCATIONS
SAMPLING LOCATIONS
AM 1* (Acupan)AM 2* (Sitio Maligaya)AM 3 (Level 1300 Pool) U/D/T AM 5 (Brgy. Ucab) U/D/T AM 6 U (Tiinongdan)
*point source sampling
15THREATMONITORING PLANSAMPLING SVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGSTREAM VISUAL ASSESSMENT PROTOCOL (SVAP)
1 Channel Condition
Score:416THREATMONITORING PLANSAMPLING SVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGSTREAM VISUAL ASSESSMENT PROTOCOL (SVAP)
2 Hydrologic Alteration
Score:917THREATMONITORING PLANSAMPLING SVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGSTREAM VISUAL ASSESSMENT PROTOCOL (SVAP)
3 Bank Condition
Score:718THREATMONITORING PLANSAMPLING SVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGSTREAM VISUAL ASSESSMENT PROTOCOL (SVAP)
4 Riparian Area Quantity
Score:719THREATMONITORING PLANSAMPLING SVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGSTREAM VISUAL ASSESSMENT PROTOCOL (SVAP)5 Riparian Area Quality
Score:720THREATMONITORING PLANSAMPLING SVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGSTREAM VISUAL ASSESSMENT PROTOCOL (SVAP)
6 Canopy Cover
Score:321THREATMONITORING PLANSAMPLING SVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGSTREAM VISUAL ASSESSMENT PROTOCOL (SVAP)
7 Water Appearance
Score:122THREATMONITORING PLANSAMPLING SVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGSTREAM VISUAL ASSESSMENT PROTOCOL (SVAP)
8 Nutrient Enrichment
Score:823THREATMONITORING PLANSAMPLING SVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGSTREAM VISUAL ASSESSMENT PROTOCOL (SVAP)9 Manure or Human Waste Presence
Score:924THREATMONITORING PLANSAMPLING SVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGSTREAM VISUAL ASSESSMENT PROTOCOL (SVAP)10 Pools
Score:225THREATMONITORING PLANSAMPLING SVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGSTREAM VISUAL ASSESSMENT PROTOCOL (SVAP)
11 Barriers to Aquatic Species Movement
Score:226THREATMONITORING PLANSAMPLING SVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGSTREAM VISUAL ASSESSMENT PROTOCOL (SVAP)12 Fish Habitat Complexity
Score:127THREATMONITORING PLANSAMPLING SVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGSTREAM VISUAL ASSESSMENT PROTOCOL (SVAP)13 Aquatic Invertebrate Habitat
Score:128THREATMONITORING PLANSAMPLING SVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGSTREAM VISUAL ASSESSMENT PROTOCOL (SVAP)14 Aquatic Invertebrate Community
Score:029THREATMONITORING PLANSAMPLING SVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGSTREAM VISUAL ASSESSMENT PROTOCOL (SVAP)Riffle Embedness and SalinityNot Applicable30THREATMONITORING PLANSAMPLING SVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGSTREAM VISUAL ASSESSMENT PROTOCOL (SVAP)
Overall Score: 4.4Verdict: POOR31THREATMONITORING PLANSAMPLINGSVAP LAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGLAB TESTING
Trace2o Metalyser32THREATMONITORING PLANSAMPLINGSVAPLAB TESTINGASSESSMENT RESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGRESULTS33THREATMONITORING PLANSAMPLINGSVAPLAB TESTINGASSESSMENT RESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGRESULTS34THREATMONITORING PLANSAMPLINGSVAPLAB TESTINGASSESSMENT RESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGRESULTS35THREATMONITORING PLANSAMPLINGSVAPLAB TESTINGASSESSMENT RESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGRESULTS36THREATMONITORING PLANSAMPLINGSVAPLAB TESTINGASSESSMENT RESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGRESULTS37THREATMONITORING PLANSAMPLINGSVAPLAB TESTINGASSESSMENT RESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGRESULTS38THREATMONITORING PLANSAMPLINGSVAPLAB TESTING ASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGASSESSMENTArsenicMercuryLeadWastewaterSurface Watern.d.n.d.Sedimentn.d.39THREATMONITORING PLANSAMPLINGSVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TO MODELLINGModellingAssumptions: Trapezoidal cross-section with 1:1 side slope was used.stream slope is 0.00015, roughness is 0.048 which is based on table of manning coefficient values.The depth is constant - depth multiplier = depth, depth exponent = 0Gauge height = 0.6dTributaries were excluded in the model due to run failure40THREATMONITORING PLANSAMPLINGSVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TO MODELLINGModelling
Model Type is Simple Toxicant: Lead Concentration Model
41THREATMONITORING PLANSAMPLINGSVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TO MODELLINGModellingsimulation set for 5 years
using mannings equation, we derived the velocity multiplier and exponent. The resulting equation is
velocity multiplier is every term aside from Q, velocity exponent is 2/5
42THREATMONITORING PLANSAMPLINGSVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TO MODELLINGModellingconcentration of tracer 1 (Lead) is the average of end point concentrations of each segment
43THREATMONITORING PLANSAMPLINGSVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TO MODELLINGModellingonly tracer 1 is simulated.
44THREATMONITORING PLANSAMPLINGSVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TO MODELLINGModellingthe concentrations from themining sites located on AM-1 T1 and AM-1 T2 were used as point sources.
45THREATMONITORING PLANSAMPLINGSVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TO MODELLINGModellingsurface water flow was used disregarding the tributaries. (due to error in running the software, the model was limited excluding the tributaries)
46THREATMONITORING PLANSAMPLINGSVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TO MODELLINGModellingResults of Program Execution
47THREATMONITORING PLANSAMPLINGSVAPLAB TESTINGASSESSMENTRESULTSTHE STUDY AREABACKGROUNDINFORMATIONWater Quality Analysis And Modeling Of Ambalanga RiverANGELES JUNIO MELLIZAS RELUCIO TOMODELLINGEnd of PresentationThank you!48