IRANIAN HYDRAULIC CONFERENCE | Year:2016 | دوره:15 |Papers Count:7

PAPAYA SPILLWAY, MIXING THE PIANO KEY WEIR PRINCIPLES ON A SHAFT SPILLWAY WAS TESTED IN THIS RESEARCH.OVERALL 80 EXPERIMENTS WERE CONDUCTED USING PHYSICAL MODELS. THREE MODELS OF PAPAYA SPILLWAY WITH DIFFERENT ANGLES WERE TESTED AND EXPERIMENTS DATA WERE ANALYZED. THIS PAPER IS DEVOTED TO EXPLAIN ABOUT EFFECTS OF USING PIANO KEY INLET ON SHAFT SPILLWAY ON CIRCULATION NUMBER. COMPARISON BETWEEN THREE PAPAYA MODELS SHOWED THAT PAPAYA MODEL WITH AN ANGLE OF 90 DEGREES HAS MINOR CIRCULATION NUMBER SO THAT IT HAS MINOR CIRCULATION STRENGTH COMPARE WITH OTHER MODELS. AS A RESULT, IT CAN PASS HIGHER AMOUNT OF DISCHARGE THROUGH THE SHAFT. IN OTHER WORDS, PAPAYA MODEL WITH AN ANGLE OF 90 DEGREES HAS BETTER PERFORMANCE BEYOND COMPARISON.

ARID ENVIRONMENTS ARE CHARACTERIZED BY LOW RAINFALL, HIGH EVAPOTRANSPIRATION AND RARELY PERENNIAL SURFACE WATER BODIES. GROUNDWATER IS OFTEN THE ONLY IMPORTANT WATER RESOURCE. THEREFORE THE KNOWLEDGE OF HYDROGEOLOGY IS A PREREQUISITE FOR THE SUSTAINABLE USE AND MANAGEMENT OF THE GROUNDWATER RESOURCES IN THESE REGIONS. HOWEVER, ALMOST ALL HYDROGEOLOGICAL INVESTIGATION AND MODELING TOOLS HAD BEEN PRIMARILY DEVELOPED FOR APPLICATION IN HUMID AREAS. AS THE HYDROLOGICAL SITUATION OF ARID AREAS DIFFERS SIGNIFICANTLY FROM HUMID REGIONS THE INVESTIGATION METHODS MUST BE ADAPTED TO LOCAL CIRCUMSTANCES. MORE THAN TWELVE YEARS OF FIELD RESEARCH AND CONSULTING IN THE MIDDLE EAST USING THE LATEST TECHNOLOGIES SHOWED CLEARLY THE IMPORTANCE OF HYDROGEOLOGY FOR IWRM IN ARID REGIONS. THE PUBLICATION POINTS OUT DIFFERENT APPROACHES AND METHODS WITH EXAMPLES FROM THE MIDDLE EAST ESPECIALLY FROM THE ARABIAN PENINSULA.

IN THE SIMULATION OF TRANSIENT FLOW IN HYDRAULIC PIPING SYSTEMS, VAPOUROUS CAVITATION OCCURS WHEN THE CALCULATED PRESSURE HEAD FALLS TO THE LIQUID VAPOUR PRESSURE HEAD. RAPID VALVE CLOSURE OR PUMP SHUTDOWN CAUSES FAST TRANSIENT FLOW WHICH RESULTS IN LARGE PRESSURE VARIATIONS, LOCAL CAVITY FORMATION AND DISTRIBUTED CAVITATION WHICH POTENTIALLY CAUSE PROBLEMS SUCH AS PIPE FAILURE, HYDRAULIC EQUIPMENT DAMAGE AND CORROSION. THIS PAPER PRESENTS A NUMERICAL STUDY OF WATER HAMMER WITH COLUMN SEPARATION IN A SIMPLE RESERVOIR-PIPELINE-VALVE SYSTEM. IN THIS STUDY, AS A NEW APPROACH, WATER HAMMER WITH COLUMN SEPARATION HAS BEEN MODELLED IN A QUASI-TWO-DIMENSIONAL FORM. THE GOVERNING EQUATIONS FOR TRANSIENTOW IN PIPES ARE SOLVED BASED ON THE METHOD OF CHARACTERISTICS USING A QUASI-TWO-DIMENSIONAL DISCRETE VAPOUR CAVITY MODEL (QUASI-TWO-DIMENSIONAL DVCM) AND A ONE-DIMENSIONAL DISCRETE VAPOUR CAVITY MODEL (ONE-DIMENSIONAL DVCM). IT WAS FOUND THAT QUASI-TWO-DIMENSIONAL DVCM CORRELATES BETTER WITH THE EXPERIMENTAL DATA THAN ONE-DIMENSIONAL DVCM IN TERMS OF PRESSURE MAGNITUDE. THE SIMULATION RESULTS CLEARLY SHOW THAT PROPER SELECTION OF THE NUMBER OF COMPUTATIONAL REACHES AND THE NUMBER OF COMPUTATIONAL GRIDS IN RADIAL DIRECTION IN QUASITWO-DIMENSIONALDVCM SIGNIFICANTLY IMPROVES THE COMPUTATIONAL RESULTS.

TIME SERIES PREDICTION OF METEOROLOGICAL PARAMETERS PLAYS AN IMPORTANT ROLE IN MAKING DECISION TO DECREASE THE EFFECTS OF DROUGHT AND CLIMATE CHANGE. TEMPERATURE IS AN IMPORTANT FACTOR IN PLANNING AND MAKING DECISION OF WATER RESOURCES AND WATER BALANCING. THEREFORE, PRECISE ESTIMATION OF TEMPERATURE IS INDISPENSABLE FOR EVERY COMPUTATION IN HYDROLOGY AND OTHER DISCIPLINES. THERE ARE A LOT OF METHODS FOR ESTIMATING TIME SERIES CLIMATE DATA AND ALL OF THEM CAN BE GROUPED IN (A) STATISTICAL METHODS AND (B) INTELLIGENT METHODS. IN THIS STUDY, ARTIFICIAL NEURAL NETWORK (ANN) AND ANFIS WERE APPLIED AS INTELLIGENT METHODS TO ESTIMATE THE MAXIMUM AND MINIMUM TEMPERATURE. THE DATA WAS SPITED INTO TWO PARTS (A) 90% DATA THAT WAS USED AS TRAINING AND (B) THE REST OF THE DATA SET WHICH WAS APPLIED AS THE TEST SET TO VALIDATE THE CONSTRUCTED MODEL. THE PERFORMANCE OF MULTI LAYER PERCEPTRON AND NEURO-FUZZY INFERENCE SYSTEM WITH THE FUZZY C-MEANS CLUSTERING (FCM-ANFIS) WERE INVESTIGATED USING DIFFERENT NUMBERS OF NEURONS IN HIDDEN LAYERS AND DIFFERENT NUMBER OF CLUSTERING, RESPECTIVELY. ACCURACIES OF THE MODELS WERE EVALUATED USING INDICES SUCH AS R2, RMSE ANDMAE.

DESALINATION PLANTS ARE EFFECTIVE ALTERNATIVES FOR PROVIDING REQUIRED POTABLE WATERS. SINCE OUTFALL OF THESE PLANTS CAN BE HARMFUL FOR MARINE ENVIRONMENTS, IT IS DESIRABLE TO USE AN OPTIMUM DIFFUSER GEOMETRY WITH MAXIMUM DILUTION EFFECT. A MULTIPLE DIFFUSER SYSTEM WITH A PROPER GEOMETRY IS USUALLY A GOOD SOLUTION.IN THIS STUDY, THE POLLUTANT BEHAVIOR OF SUCH A SYSTEM IN SHALLOW WATER CONDITION IS INVESTIGATED BY MAKINGUSE OF COMPUTATIONAL FLUID DYNAMIC (CFD) METHOD. AN ACTUAL CASE IS TAKEN INTO ACCOUNT AND BOTH MATCHING AND OPPOSITE AMBIENT CURRENTS ARE ALSO SIMULATED. IT IS CONCLUDED THAT THE TAIL OF THE JET AS WELL AS ITS HEIGHT AND TRAVELING LENGTH CAN BE AFFECTED BY AMBIENT CURRENT, YET MULTI-DIFFUSER JETS ARE LESS SENSITIVE TO CURRENT THAN A SINGLE PORT SYSTEM. IT IS ALSO SHOWN THAT SIMULATING THE PRESSURE LOSS IS AN IMPORTANT ITEM IN DESIGNING AN OUTFALL SYSTEM.

SIMULATION OF RAINFALL-RUNOFF PROCESS FOR PLANNING AND MANAGEMENT OF WATER RESOURCES AND WATERSHEDS, REQUIRES THE USE OF A CONCEPTUAL HYDROLOGICAL MODELS, AND PLAY AN IMPORTANT ROLE IN PREDICTING THE RESPONSE TO MANAGEMENT SCENARIOS IN DIFFERENT CLIMATIC AREAS. IN THIS STUDY, THE HYDROPSO PACKAGE WAS USED TO ASSESS PARAMETER IDENTIFICATION AND UNCERTAINTY FOR THE KINEROS2 MODEL APPLIED IN THE TAMAR WATERSHED, IRAN. SIXTEEN PARAMETERS WERE SELECTED BASED ON PREVIOUS STUDIES AND PARAMETER SENSITIVITY ANALYSIS. ACCORDING TO VALIDATION METRICS, RESULTS INDICATE BETTER EFFICIENCY OF K2 BASED ON THE EVENT #2.THE COEFFICIENT OF DETERMINATION (R2) RESULTING BY COMPARISON OF SIMULATED FLOW AND MEASURED FLOW IS EQUAL TO 0.9084. THE EVENTS #3 AND #4 WITH NSE EQUAL TO 0.89 AND 0.86 HAD THE EXCELLENT AND VERY GOOD FITNESS OF SIMULATED FLOW COMPARED TO OBSERVED FLOW, RESPECTIVELY.SENSITIVITY ANALYSIS SHOWS THAT THE PARAMETERS KS_P, KS_C, N_P, N_C, CV_P, AND SAT WERE THE MOSTEFFECTIVE PARAMETERS IN K2 CALIBRATION, RESPECTIVELY. THE POSTERIOR DISTRIBUTIONS OF SOME PARAMETERS SUCH AS KS_P AND N_C APPEAR TO BE MORE SHARPLY PEAKED THAN OTHER PARAMETERS WHICH ESTABLISHES LESS UNCERTAINTY IN HYDROLOGICAL MODELING. VISUAL INSPECTION OF BOXPLOTS SHOWS THAT FOR 6 OUT OF 16 PARAMETERS (KS_C, N_C, G_C, ROCK, DIST_C AND SMAX) THE OPTIMUM VALUE FOUND DURING THE OPTIMIZATION COINCIDES WITH THE MEDIAN OF ALL THE SAMPLED VALUES CONFIRMING THAT MOST OF THE PARTICLES CONVERGED INTO A SMALL REGION OF THE SOLUTION SPACE.FOR IN AND SAT, SAMPLED VALUES WERE PLACED WITHIN THE SECOND QUARTILE. DOTTY PLOTS SHOW THAT THE OPTIMUM VALUES FOUND FOR KS_P, KS_C, AND N_C DEFINE A NARROW RANGE OF THE PARAMETER SPACE WITH HIGH MODEL PERFORMANCE. ON THE OTHER HAND, THE MODEL PERFORMANCE IS MORE IMPACTED BY THE INTERACTION OF KS AND N PARAMETERS. THE PARAMETERS CV_P AND N_P SHOW A WIDER RANGE OF THE OPTIMIZED LEVELS. GOOD MODEL PERFORMANCE FOR A WIDE RANGE OF VALUES OF OTHER PARAMETERS CONFIRMS THAT THESE PARAMETERS ARE NOT WELL IDENTIFIED.

MONITORING AND MODELING STUDIES OF THE SOUTHERN CASPIAN SEA IS ONE OF THE NATIONAL PROJECTS, PERFORMED BY THE PORTS AND MARITIME ORGANIZATION (PMO). SIMULATING CURRENTS IN THE SOUTHERN CONTINENTAL SHELF REGIONS OF THE CASPIAN SEA IS ONE OF THE IMPORTANT PARTS OF THIS PROJECT. TO AIM THAT, PMODYNAMICS IS APPLIED. PMODYNAMICS, PERSIAN MODEL FOR OCEAN DYNAMICS, IS A 2D IRANIAN NUMERICAL MODEL DEVELOPED BY IRANIAN MODELERS. PMO HAS INVESTED ON DEVELOPING THIS SOFTWARE FOR COASTAL ENGINEERING STUDIES. THIS STUDY IS FOCUSED ON APPLYING THE HYDRODYNAMIC MODULE OF PMODYNAMICS TO SIMULATE WIND-DRIVEN CURRENTS IN THE SOUTHERN CONTINENTAL SHELF STATIONS OF THE CASPIAN SEA. CONSIDERING OF TIDAL BODY FORCES IS ONE OF THE SPECIAL CAPABILITY OF PMODYNAMICS. IN THIS PAPER EFFECTS OF TIDAL CURRENTS IN CASPIAN SEA IN ADDITION TO WIND DRIVEN CURRENTS SIMULATED BY PMODYNAMICS. TO VALIDATE THE RESULTS, VERTICAL CURRENT SPEED PROFILES HAVE BEEN MEASURED FOR ONE YEAR BY ADCP AT SIX STATIONS CALLED ANZALI PORT AND AMIR ABAD PORT (AT 10 METERS DEPTH), ROUDSAR AND ASTARA PORT (AT 30 AND 10 METERS DEPTH).