[논문]소규모 정수처리장에서 모니터링 자료를 이용한 원수의 망간농도 예측에 관한 연구

민병대; 야마자키 키미코; 코이즈미 아키라; 구자영

소규모 정수처리장에서 모니터링 자료를 이용한 원수의 망간농도 예측에 관한 연구
Estimation for Raw Water Quality of Manganese Concentrations from Archived Data in Small-scale Water Systems 원문보기

上下水道學會誌 = Journal of Korean Society of Water and Wastewater, v.25 no.4, 2011년, pp.547 - 554

민병대 (동경도립대학교 환경공학부) , 야마자키 키미코 (동경도립대학교 환경공학부) , 코이즈미 아키라 (동경도립대학교 환경공학부) , 구자영 (동경도립대학교 환경공학부)

Abstract ▼ AI-Helper

In small-scale water systems, the measurement of quality of raw water in running water is generally implemented when the quality of water is stable and frequency of measurement is low. However, units such as water temperature and pH, which are easily monitored, are frequently measured. In establishing an improvement plan for a water treatment system, the range of concentration of the target material present in the raw water of the running water provides relevant information. If the concentration of target material can be specified by the quality of water of data items that are measured daily, inverse estimation of the range of concentration is possible as well. In this paper, we took note of manganese in the raw water from Ogasawara-mura, Tokyo, and estimated the manganese concentration in the raw water of the running water for the past five years. Based on the results obtained, we have proposed a manganese removal system, considering the current situation and geographical conditions of Ogasawara-mura.

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문제 정의

In light of these issues, the aim of this paper is to estimate over the past five years the concentration levels of manganese in raw water for water supplies at the Ogiura water treatment plant in Ogasawara-village, Tokyo. This facility provides a small-scale water system based on estimation results and establishes the most appropriate manganese treatment system for the target area.

제안 방법

In the light of the correlation between the objective variables and internal correlation, explanatory variables were selected and multiple regression analysis was performed, which derived the following multiple regression equation.
In this paper, we targeted a small-scale water system with limited data regarding the quality of raw water in the running water, and based on the relatively few number of manganese measurement data taken when the water quality was stable, we derived an equation to estimate the concentration of manganese with commonly measured water characteristics and estimated the daily concentration of manganese over the past five years. Based on the obtained results, we calculated the concentration range of manganese, and considered concrete manganese removal methods appropriate for the calculated concentration.

대상 데이터

It is located in 1, 000km south of Tokyo. Figure 1 shows the geography position of the island.
The water treatment plant that was selected for this study has two mountain streams, four water reservoirs, and two wells as water sources. Figure 2 shows the place in facilities related to water service.

성능/효과

It was concluded that, as a treatment corresponding to the estimated manganese concentration of 1.02 mg/L, the optimal method is to remove nearly all the iron and about half of the manganese by oxidation throughchloric agents whose concentration is slightly higher than that corresponding iron without pH control, and coagulating sedimentation processes. The remnant manganese is then removed by manganese sand.

참고문헌 (11)

Takai, Y., Nakanisi, H. (1897) Water treatment process for deferrization and demanganization, SANGYOU YOUSUI CHOUSAKAI
Yonetani, E. (1976) Handbook of Civil Engineering panning, Maruzen, pp. 588-590.
Yamazaki, K., Inakazu, T., Koizumi, A. (2004) A Study on VOC Removal in Tokyo Metropolitan University Wastewater Treatment Facility, Environmental Engineering Research, 41, pp. 187-193.
Yamazaki, K., Koizumi, A., Yokoyama, K., Kitazawa, H., Saito, S. (2007) Research on predictive models for determining nutrient levels on reservoir eutrophication, Environmental Engineering Research, 44, pp. 161-163.
Ham D. K., Bag I. H. (2003) A study on the behavior of Iron and Manganese by oxidation with ozone, Journal of Korean Society of Environmental Administration, 9(3), pp. 291-298.
Araby R. E., Hawash S., Diwani G. (2009) Treatment of iron and manganese in simulated groundwater via ozone technology, Desalination, 249, pp. 1345-1349.

상세보기
Lee H. B., Han J. W., Choo K. H., Choi S. J. (2002) Removal of Iron and Manganese from Drinking Water by Combined Chlorination/Uf, Applied Chemistry, 6(2), pp. 727-730.
Kim B. S., Yoon J. K., Ann H. W., Kim C. H. (2006) Effect of Experimental Factors on Manganese Removal in Manganese Sand Filtration, Journal of the Korean Society of Water and Wastewater, 20(1), pp. 86-93.
Samad Z. B. (2005) Study on Iron and Manganese Removal in River Water for Textiles Industry Usage, Universiti Teknologi Malaysia
Tekerlekopoulou A.G., Vayenas D. V. (2008) Simultaneous biological removal of ammonia, iron and manganese from potable water using a trickling filter, Biochemical Engineering Journal, 39, pp. 215-220.

상세보기
Wensheng Z., Chu Y. C., Yoko P. (2010) Investigation of methods for removal and recovery of manganese in hydrometallurgical processes, Hydrometallurgy, 101, pp. 58-63.

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소규모 정수처리장에서 모니터링 자료를 이용한 원수의 망간농도 예측에 관한 연구
Estimation for Raw Water Quality of Manganese Concentrations from Archived Data in Small-scale Water Systems 원문보기

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소규모 정수처리장에서 모니터링 자료를 이용한 원수의 망간농도 예측에 관한 연구 Estimation for Raw Water Quality of Manganese Concentrations from Archived Data in Small-scale Water Systems 원문보기

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소규모 정수처리장에서 모니터링 자료를 이용한 원수의 망간농도 예측에 관한 연구
Estimation for Raw Water Quality of Manganese Concentrations from Archived Data in Small-scale Water Systems 원문보기

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