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Deep Water Reservoir Selective Water Technology And Its Basic Research

Posted on:2014-05-06Degree:MasterType:Thesis
Country:ChinaCandidate:B ZhangFull Text:PDF
GTID:2272330422455051Subject:Municipal engineering
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Currently, most city main use reservoir as a source of water supply in China,exogenous and endogenous pollution makes the decline in raw water quality of thereservoir, improve the quality of raw water by reservoir operation, reducing waterpurification cost and ensure the safety of drinking water have become one of the urgentproblems of water workers.For the shortcomings of the existing selective water withdrawal device, through thedevelopment of simple structure, easy to install, can be freely mobilize water intakehigh hydraulic selective withdrawal device to improve the quality of raw water; Bystudying settlement migration of algae and establishing effluent water quality predictionmodel, proposed reservoir selective withdrawal technique to circumvent algae,providing a reference for further optimization of selective withdrawal. The resultsindicate:(1)Apply to the law of buoyancy, hydraulic floating selective withdrawal devicesand pre-purification the hydraulic automatic selective withdrawal device by hydraulicfloating selective withdrawal intake and raw water transmission control device of twoparts, but both the main structure and power equipment are different; The two hydraulicselective withdrawal device can achieve four operating conditions: fixed height of thewater intake to take the quality of raw water in the depths of the constant water, free toregulate the height of water intake at any water layer, parallel multiple water device totake the vertical mixing water at different depth and parallel multiple water device totake the quality of mixing water within the scope of reservoir plane.(2)C.vulgaris which are cultured in the laboratory is divided into less than4.5μm,4.5~5.5μm and more than5.5μm diameter three level in according with the particle size; The settling velocity range of C.vulgaris is0.1~468.2μm s-1, average is32.8μm s-1under the light intensity experimental conditions; Settling velocity was getting slowerwith light intensity enhancement, the particle size of C.vulgaris were positivelycorrelated with settling velocity; After the settlement of particle size distribution fromthe surface to the bottom gradually become big, longitudinal peak of C.vulgaris arestretching downward with light intensity enhance except the bottom.(3)When the Chlorella at surface aggregation, simulated rainfall effectsinterference depth, with rainfall intensity increased, show in linear relationship, and thechlorella settling velocity changed slower with particle size decreased and rainfallintensity receded, settling velocity range was34.7~194.3μm s-1, the smaller particle sizeof chlorella was more susceptible to the impact of rainfall and increased its settlingvelocity; When the chlorella at the vertical uniform distribution, interference depth andrainfall intensity exponential distribution, settling velocity range was16.7~27.0μm s-1.(4)Drainage experiment conducted in the bottom of settlement column to studyproperties of chlorella settlement. The results indicate: drainage and stability time was anegative linear relationship, was a positive linear relationship with the settling velocity,settling velocity range of51.4~138.2μm s-1, smaller particle size of chlorella moresusceptible to drainage impact of increasing the settling velocity.(5)In the drainage experiments, drainage and stability time was a negative linearrelationship, was a positive linear relationship with the settling velocity, settling velocityrange of51.4~138.2μm s-1, a smaller particle size of chlorella more susceptible todrainageimpact of increasing the settling velocity.(6)Water quality of longitudinal water layers by3cluster of K-means clusteringanalysis, cluster centers which was the cluster of statistics from the water-intake layercan effectively predict water tower outflow water quality; predict the temperature, pH,ORP, conductivity, salinity, alkalinity and measured data consistent with a higher degreeof relative errors were in the-10%to10%; Polynomial curve fitting to the cluster ofwater-intake layer where were the upper and lower boundaries, the withdrawal thicknessconformed to the theoretical derivation and actual situation.
Keywords/Search Tags:Selective water, Chlorella vulgaris, Rainfall intensity, Clustering analysis, Water quality prediction
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