One of the main environmental pollutants is heavy metals. Due to extensive usage in industry, these metals enter biological cycle rapidly and contaminated water and soil resources rapidly. In this work, lead, copper, ...One of the main environmental pollutants is heavy metals. Due to extensive usage in industry, these metals enter biological cycle rapidly and contaminated water and soil resources rapidly. In this work, lead, copper, zinc and chromium of Bandar Abbas wastewater are examined. For this research, nine stations were set for measurement in urban level in Bandar Abbas and sampling of aforesaid metals was performed in fall and winter 2006 in these stations. After extraction and preparation operations using APDC-MIBK, samples were measured using flame atomic absorption system. According to results, concentrate of studied metals was lower than allowable standard value set by Iran environmental protection organization for agricultural purposes and sewage to ground level waters. In addition, efficiency of Bandar Abbas wastewater treatment plant to remove these metals is 40% - 70% from which highest removal is for zinc as much as 71.1% and lowest level is for copper as much as 40.5%. However, copper level was higher than allowable level for agricultural purposes in spring and summer (0.21 mg/L and 0.23 mg/L, respectively) and lower in fall and winter (0.103 mg/L and 0.098 mg/L, respectively). Furthermore, changes in concentration of metals in these stations in various seasons were measured and analyzed using one-way variance analysis and simultaneous effects of time and place on measured variables were analyzed using two-way variance analysis.展开更多
Water-Decision Support System (DSS) tools enhance decision-makings towards improved water supply in a given region. The rigours of manual design of the conventional water treatment plants are easily eliminated with th...Water-Decision Support System (DSS) tools enhance decision-makings towards improved water supply in a given region. The rigours of manual design of the conventional water treatment plants are easily eliminated with the use of softwares as in the case of DSS. Therefore, this paper focuses on the development of a Water-DSS for design of treatment plant in Karkala Town, Udupi District of India. A four-decade population projection was made using the baseline data of 1971 till date. The manual computation for water demand, unit operations and adjoining facilities was carried out and later coded in C-programming language for development of a DSS for easier design and process selection. Data validation was done and results from the two approaches were compared. With the C-programming technique, a decision support tool for design and process selection of drinking water treatment plant using conventional method has been developed and named Water-DSS1. The designed tool is simple, accurate, flexible, efficient and universal, easily adaptable to any similar conventional treatment plant. Water-DSS1 is thus recommended for general use in ultimately alleviating water supply challenges.展开更多
In our center where a lot of water is used for watering and cleaning the classrooms, the management of wastewater as a resource can be a real opportunity. The main objective of this research is to size and determine t...In our center where a lot of water is used for watering and cleaning the classrooms, the management of wastewater as a resource can be a real opportunity. The main objective of this research is to size and determine the effectiveness of natural treatments of the wastewater treatment system composed of a septic tank and a treatment plant which would be installed in site Ngoundiane of Alioune DiOP University, in Bambey, Senegal. Overall, we noted that the sized septic tank dimensioned in our study allows the efficient settling of wastewater which depends on the flow point ratio and useful settling surface area that must be lower than the upward speed that corresponds to 0.8 m/h. The sizing of the septic tank led us to obtain a useful capacity of 88 m<sup>3</sup> and a horizontal surface of 44 m<sup>2</sup> with a height of 2 m. The ratio between the flow of the wastewater received and the upward speed is 0.17 m/h and is significantly lower than the recommended speed. In addition, the station will be able to eliminate 80.418% of the Biochemical Oxygen Demand (BOD), 75.522% of the Chemical Oxygen Demand (COD), 92.385% of Suspended Solid (SS) and 43.427% of Nitrogen compounds.展开更多
文摘One of the main environmental pollutants is heavy metals. Due to extensive usage in industry, these metals enter biological cycle rapidly and contaminated water and soil resources rapidly. In this work, lead, copper, zinc and chromium of Bandar Abbas wastewater are examined. For this research, nine stations were set for measurement in urban level in Bandar Abbas and sampling of aforesaid metals was performed in fall and winter 2006 in these stations. After extraction and preparation operations using APDC-MIBK, samples were measured using flame atomic absorption system. According to results, concentrate of studied metals was lower than allowable standard value set by Iran environmental protection organization for agricultural purposes and sewage to ground level waters. In addition, efficiency of Bandar Abbas wastewater treatment plant to remove these metals is 40% - 70% from which highest removal is for zinc as much as 71.1% and lowest level is for copper as much as 40.5%. However, copper level was higher than allowable level for agricultural purposes in spring and summer (0.21 mg/L and 0.23 mg/L, respectively) and lower in fall and winter (0.103 mg/L and 0.098 mg/L, respectively). Furthermore, changes in concentration of metals in these stations in various seasons were measured and analyzed using one-way variance analysis and simultaneous effects of time and place on measured variables were analyzed using two-way variance analysis.
文摘Water-Decision Support System (DSS) tools enhance decision-makings towards improved water supply in a given region. The rigours of manual design of the conventional water treatment plants are easily eliminated with the use of softwares as in the case of DSS. Therefore, this paper focuses on the development of a Water-DSS for design of treatment plant in Karkala Town, Udupi District of India. A four-decade population projection was made using the baseline data of 1971 till date. The manual computation for water demand, unit operations and adjoining facilities was carried out and later coded in C-programming language for development of a DSS for easier design and process selection. Data validation was done and results from the two approaches were compared. With the C-programming technique, a decision support tool for design and process selection of drinking water treatment plant using conventional method has been developed and named Water-DSS1. The designed tool is simple, accurate, flexible, efficient and universal, easily adaptable to any similar conventional treatment plant. Water-DSS1 is thus recommended for general use in ultimately alleviating water supply challenges.
文摘In our center where a lot of water is used for watering and cleaning the classrooms, the management of wastewater as a resource can be a real opportunity. The main objective of this research is to size and determine the effectiveness of natural treatments of the wastewater treatment system composed of a septic tank and a treatment plant which would be installed in site Ngoundiane of Alioune DiOP University, in Bambey, Senegal. Overall, we noted that the sized septic tank dimensioned in our study allows the efficient settling of wastewater which depends on the flow point ratio and useful settling surface area that must be lower than the upward speed that corresponds to 0.8 m/h. The sizing of the septic tank led us to obtain a useful capacity of 88 m<sup>3</sup> and a horizontal surface of 44 m<sup>2</sup> with a height of 2 m. The ratio between the flow of the wastewater received and the upward speed is 0.17 m/h and is significantly lower than the recommended speed. In addition, the station will be able to eliminate 80.418% of the Biochemical Oxygen Demand (BOD), 75.522% of the Chemical Oxygen Demand (COD), 92.385% of Suspended Solid (SS) and 43.427% of Nitrogen compounds.
