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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Mushrifah Idris, Professor Dr | |
| dc.contributor.author | Afolabi Oluwafemi Alabi (P46782) | |
| dc.date.accessioned | 2023-10-13T09:32:00Z | - |
| dc.date.available | 2023-10-13T09:32:00Z | - |
| dc.date.issued | 2012-05-11 | |
| dc.identifier.other | ukmvital:74640 | |
| dc.identifier.uri | https://ptsldigital.ukm.my/jspui/handle/123456789/499440 | - |
| dc.description | A water quality model was configured to simulate salient water quality variables in Tasik Chini. The main purpose was to parameterize, calibrate and validate the model for use as a predictive tool for studying eutrophication and dissolved oxygen related processes within the lake. The model simulates the transport and transformation reactions of four interacting systems: phytoplankton kinetics, the phosphorus cycle, the nitrogen cycle, and the dissolved oxygen balance. The configured, calibrated and validated model was then subjected to sensitivity analyses and applied for projection modeling and scenario based evaluation to provide a clearer perspective on appropriate approaches for efficient lake water quality management. During model calibration, simulated concentrations reasonably matched observed values. Average predicted nitrate concentrations oscillated between 0.03 mg/L to 0.04 mg/L for all the segments of the lake while average predicted ammonia concentrations were in the range of 0.22 mg/L to 0.32 mg/L. The average model predicted phosphate values were consistent with observed values as both had a range of 0.06mg/L to 0.08mg/L. For the DO, the average predicted values were also consistent with the pattern and trend of observed values with the model reproducing the spatial variation of the lake DO concentrations such that the lowest DO concentrations predicted was at segment 1 and the highest was at segment 7. The CBOD predictions were also in agreement with observed data as the highest values were at segments 1 and 6 with average CBOD concentrations of 4.37 mg/L and 4.49 mg/L respectively. Simulation during model validation reflected reduced chlorophyll a concentrations with average simulated concentrations ranging between 0.74 and 1.12 ug/L. Average observed chlorophyll a concentration for the validation period was between 0.73 and 1.39 ug/L. Average nitrate concentrations during sensitivity testing of the nitrification rate were in the range of 0.03mg/L to 0.06mg/L. For the organic nitrogen mineralization rate, the percentage difference of ammonia concentrations between the sensitivity analysis and calibrated was in the range of 0 to -6.25%. Significant differences were observed with tests conducted on the deoxygenation rate and reaeration rate with DO concentration changes for 50% increases ranging from 3.35 to 5.37% and -7.96 to -14.46% respectively. Scenario evaluation indicated that the discharge from the developments with close proximity to the lake did not have significant effects on the dissolved oxygen levels in lake segments as average DO concentrations remained at levels similar to calibration concentrations (between 4.78 and 5.48 mg/L). However, A fifty percent reduction in the calibration BOD loads lead to corresponding increases in average DO concentration with values approaching 6mg/L in some segments. Spatial display capabilities were utilized to show the progression of the simulation runs and simulated variables thereby facilitating more effective spatial and geographic assessments regarding the concentration profiles of the water quality variables. Model analysis indicated that the emphasis for load reduction strategies and implementation of best management practices (bmp) should be on a watershed scale and not just focused in-lake. For optimal results, best management practices to reduce pollutant loads must be combined with water management strategies that increase or maintain the assimilative capacity of the lake.,Ph.D | |
| dc.language.iso | eng | |
| dc.publisher | UKM, Bangi | |
| dc.relation | Faculty of Science and Technology / Fakulti Sains dan Teknologi | |
| dc.rights | UKM | |
| dc.subject | Modeling | |
| dc.subject | Water quality management | |
| dc.subject | Lake Chini | |
| dc.subject | Water quality management -- Computer simulation | |
| dc.title | Dynamic simulation modeling for water quality management in Lake Chini | |
| dc.type | Theses | |
| dc.format.pages | 145 | |
| dc.identifier.callno | TD365.A433 2012 | |
| dc.identifier.barcode | 000278 | |
| Appears in Collections: | Faculty of Science and Technology / Fakulti Sains dan Teknologi | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_74640+Source01+Source010.PDF Restricted Access | 7.52 MB | Adobe PDF |  View/Open |
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