Citation
Mohd. Kamil Yusoff, . and Loi C.L., . and Rosta Harun, . and Azizi Muda, . (2004) Non point source pollutant loading modeling at Sg. Teris Besar Negeri Sembilan Malaysia. [Proceedings Paper]
Abstract
The main purpose of this study is to simulate the pollutant loads into Sg. Teris Besar according to the land use pattern. Sg. Teris Besar is situated in Pasoh Forest Reserve and the sensitivity of the reverse forest is high therefore more effort is needed to protect it from pollution. AQUALM software was used for simulation. AQUALM has advantage to overcome the problem of lacking of information even only limited data is obtained. Three main pollutant parameters chosen as indicator for water quality are BOD NH3-N and TSS. These three parameters have a strong relationship with land use pattern. Amount of pollutant loads from a particular land use showed the changes. Four stations were established to represent four different types of land use pattern. Station 1 has the lowest pollutant and Station 4 is considered most polluted among four stations. Station 1 produced BOD load of 26900 kg/square km/year NH3-N load of 26883.3 kg/square km/year and TSS load of 26948.9 kg/square km/year. Compared with the highest pollutant load at Station 4 BOD of 32229.1 kg/square km/year NH2-N of 32204.7 kg/square km/year and TSS of 32645.7 kg/square km/year. From the information obtained Station 4 may need Basin Management Practices in order to reduce the pollutant loading into the downstream. The AQUALM software provides two alternatives for Best Management Practices Gross Pollutant Trap GPT and Water Pollution Pond WPCP. In this study WPCP is recommended to be installed at Station 4 in order to reduced pollutant loading. The efficiency to reduced BOD and NH subscript 3-N by WPCP is about 79 however the efficiency to reduced TSS is about 99. AQUALM also enable to predict the pollutant based on information of land use changes. In this study 50 of the logged-over forest is predicted to be converted into agricultural area in the future. From the simulation the most sensitive changes will be affected Station 2. Comparison between simulated data with observed data shows a strong quantitative relationship.
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Abstract
The main purpose of this study is to simulate the pollutant loads into Sg. Teris Besar according to the land use pattern. Sg. Teris Besar is situated in Pasoh Forest Reserve and the sensitivity of the reverse forest is high therefore more effort is needed to protect it from pollution. AQUALM software was used for simulation. AQUALM has advantage to overcome the problem of lacking of information even only limited data is obtained. Three main pollutant parameters chosen as indicator for water quality are BOD NH3-N and TSS. These three parameters have a strong relationship with land use pattern. Amount of pollutant loads from a particular land use showed the changes. Four stations were established to represent four different types of land use pattern. Station 1 has the lowest pollutant and Station 4 is considered most polluted among four stations. Station 1 produced BOD load of 26900 kg/square km/year NH3-N load of 26883.3 kg/square km/year and TSS load of 26948.9 kg/square km/year. Compared with the highest pollutant load at Station 4 BOD of 32229.1 kg/square km/year NH2-N of 32204.7 kg/square km/year and TSS of 32645.7 kg/square km/year. From the information obtained Station 4 may need Basin Management Practices in order to reduce the pollutant loading into the downstream. The AQUALM software provides two alternatives for Best Management Practices Gross Pollutant Trap GPT and Water Pollution Pond WPCP. In this study WPCP is recommended to be installed at Station 4 in order to reduced pollutant loading. The efficiency to reduced BOD and NH subscript 3-N by WPCP is about 79 however the efficiency to reduced TSS is about 99. AQUALM also enable to predict the pollutant based on information of land use changes. In this study 50 of the logged-over forest is predicted to be converted into agricultural area in the future. From the simulation the most sensitive changes will be affected Station 2. Comparison between simulated data with observed data shows a strong quantitative relationship.
Additional Metadata
| Item Type: | Proceedings Paper |
|---|---|
| Additional Information: | Summary En |
| AGROVOC Term: | POLLUTANTS |
| AGROVOC Term: | POLLUTION |
| AGROVOC Term: | RIVERS |
| AGROVOC Term: | WATER |
| AGROVOC Term: | FOREST RESERVES |
| AGROVOC Term: | DATA ANALYSIS |
| AGROVOC Term: | LAND USE |
| AGROVOC Term: | MALAYSIA |
| Geographical Term: | MALAYSIA |
| Depositing User: | Ms. Norfaezah Khomsan |
| Last Modified: | 24 Apr 2025 05:27 |
| URI: | http://webagris.upm.edu.my/id/eprint/16133 |
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