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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.6
- 수록면
- 88 - 93 (6page)
이용수
초록· 키워드
오류제보하기
In-situ water quality sampling is used for accurate water quality assessment. However, in-situ water quality sampling offers limited samples and requires much time and intensive labors. Remote sensing approach has recently applied for water quality assessment. It has shown the advantage of offering a synoptic view but also more efficient and economical. In this study, we utilized Landsat Imagery to estimate the water quality of the Tamsui River basin, considered as one of the most important rivers located in the north of Taiwan. In order to monitor water quality of Tamsui River basin, a linear regression relation between the value of spectral radiance and four water quality parameters are investigated with 38 water sampling stations. Through the regression model, we could estimate river pollution index (RPI) from the predicted value of four water quality parameters. By using RPI, we can examine the pollution level of Tamsui River. The accuracy of RPI conversion of this study ranged from 32.2% to 68.2%.
목차
ABSTRACT
1. Introduction
2. Materials and Methods
3. Result and Discussion
4. Conclusion
References
참고문헌 (6)
참고문헌 신청
Environmental Protection Administration, R.O.C. (Taiwan) / Environmental Water Quality Information
Shi, M.L. / 2009 / Using unsupervised method to classify the space of river pollution in the image of the satellites / Journal of Photogrammetry and Remote Sensing 14(4):287~302
Singhvi, B.S. / 2015 / water quality assessment for open water bodies by remote sensing: A review / International Journal of Engineering Technology and Computer Research 3(3)
Vazyulya, S. / 2014 / Regional algorithms for the estimation of chlorophyll and suspended matter concentration in the Gulf of Finland from MODIS-Aqua satellite data / Oceanologia 56(4):737~756
Wang, Y.B. / 2014 / Spatial pattern assessment of river water quality: implications of reducing the number of monitoring stations and chemical parameters / Environmental Monitoring and Assessment 186:1781~1792
Shi, M.L. / 2009 / Using unsupervised method to classify the space of river pollution in the image of the satellites / Journal of Photogrammetry and Remote Sensing 14(4):287~302
Singhvi, B.S. / 2015 / water quality assessment for open water bodies by remote sensing: A review / International Journal of Engineering Technology and Computer Research 3(3)
Vazyulya, S. / 2014 / Regional algorithms for the estimation of chlorophyll and suspended matter concentration in the Gulf of Finland from MODIS-Aqua satellite data / Oceanologia 56(4):737~756
Wang, Y.B. / 2014 / Spatial pattern assessment of river water quality: implications of reducing the number of monitoring stations and chemical parameters / Environmental Monitoring and Assessment 186:1781~1792
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UCI(KEPA) : I410-ECN-0101-2018-531-003103978