Problem statement: A sediment analysis study was conducted at the Chini River on 16 and 31 August 2008. This study was conducted to review the formation of suspended sediment load in the Lake Chini catchment area, which flows into the Pahang River via the Chini River. Approach: Three sampling stations were chosen, the first one at upstream Chini River (S1), mid-stream Chini River (S2) and downstream Chini River (S3). Three parameters were quantified for this study, namely: distribution of sediment grain size (g), concentration of suspended sediment (mg L-1) and river discharge values (in m3 sec-1). Results: The findings of the study show that the sizes of sediment fall between phi Ø-1.00 and phi Ø-2.00 with very rough particle sizes falling between phi-1.00 and phi 0.00. At the study area, the daily discharge value is estimated at 722, 304, 00 L day-1. The average suspended sediment concentration recorded for each station shows varying values for both timelines. The values were 27.33 mg L-1 on 16/08/08 and 2.233 mg L-1 on 31/08/08. Conclusion: The average value for all stations calculated based on the formation of suspended sediment load per day falls between 16,480.4627 kg day-1 on 16/08/08 and 1,540.43 kg day-1 on 31/08/08. Overall, when this number was extrapolated to every square kilometre, the result showed that the estimated average sediment that flows out of Lake Chini is 73.22 tonnes km-2 year-1
This study focus on the creation of flood risk derived from the Department of Drainage and Irrigation (DID) since 1982 result, it shows that the water level is the best variable to be taken for the purposed of flood warning alert system as the result for correlation coefficient was 1.000. The risk index has been created from the control limit value with range from 0 out of total result being classified as High Risk class for flood with risk index range from and above. The accuracy of prediction of risk index being clarified by using ANN method and result obtained was 0.9936798 and the lowest RMSE of 0.662591 on the three hidden nodes to achieve an optimal result. The future prediction for UCL for water le was 3.6 meter. This study focus on the creation of flood risk index in the study area based on secondary data derived from the Department of Drainage and Irrigation (DID) since 1982-result, it shows that the water level is the best variable to be taken for the purposed of flood as the result for correlation coefficient was 1.000. The risk index has been created from the control limit value with range from 0-100. Result showed that 16.63%
Spatial interpolation method of water valuation Kenyir Lake profiling used regression analysis and Geographic Information System (GIS) to assess a few of the water quality classification at Kenyir Lake. The purpose is to investigate the relative performance of different interpolation methods in surface waters. The study archived data from the Kenyir Lake using spatial interpolation of inverse distance weighting (IDW), which incorporates output from a process Author Correspondence, e-mail: Spatial interpolation method of water quality evaluation are frequently used to estimate valuation Kenyir Lake profiling used regression analysis and Geographic Information System (GIS) to assess a few of the water quality classification at Kenyir Lake. The purpose is to ve performance of different interpolation methods in surface waters. The study archived data from the Kenyir Lake using spatial interpolation of inverse distance which incorporates output from a process-based regression model. valuation Kenyir Lake profiling used regression analysis and Geographic Information System (GIS) to assess a few of the water quality classification at Kenyir Lake. The purpose is to ve performance of different interpolation methods in surface waters. The study archived data from the Kenyir Lake using spatial interpolation of inverse distance based regression model.
Research ArticleSpecial Issue N. A. Wahab et al. J Fundam Appl Sci. 2017, 9(2S), 256-278 257 Interpolation were performed on temperature, total suspended solid (TSS) and turbidity (TUR) based on in-situ and ex-situ analyses according to the correlation matrix and linear regression at 14 different depths for the Chomor River and Mahadir Island. The result showed outlet significantly decreased over depth caused the water quality deterioration of Kenyir Lake development.
Terengganu River Basin is situated in the north eastern coastal region of Peninsular Malaysia. 29 sampling stations were selected. The water quality parameters were measured such as Dissolved Oxygen (DO), Total Suspended Solids (TSS) and Suspended Sediment Concentration (SSC). Results showed that the range of DO (2.11 mg/L – 8.07 mg/L), TSS (0.4 mg/L – 128.2 mg/L) and SSC (0.07 mg/L – 25.6 mg/L). The distribution of land use and land cover activities effected to the level of water quality in watersheds. The analyses of variance (ANOVA) was applied and provide a better understanding for the complex relationships among water quality parameters. Graphical data helps a better view of the overall analysis to appoint sources of pollutants to their effect. Terengganu River Basin is a shallow and has a sensitive ecosystem that responds to the land use changes and development activities of its surroundings. Water quality analysis showed that TSS and SSC were higher in the dry season but DO were higher in the wet season. Overall, the water in the Terengganu River Basin classified slightly contaminated especially the main sources of pollutants were possibly waste products and waste from development activities such as sand mining, farming, residential and agricultural.
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