Remote sensing-based water quality assessment for urban rivers: a study in linyi development area
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WATER ENVIRONMENTAL POLLUTION AND STATE OF THE ART TREATMENT TECHNOLOGIES
Remote sensing-based water quality assessment for urban rivers: a study in linyi development area Sheng Miao1 · Chao Liu2 · Binjie Qian2 · Qun Miao2 Received: 13 September 2018 / Accepted: 17 December 2018 © Springer-Verlag GmbH Germany, part of Springer Nature 2019
Abstract Nowadays, urban rivers play an important role in city development and make great contributions to urban ecology. Most urban rivers are the drinking water sources and water quality is extremely critical. The current assessment method in national standard of China has multiple limitations; therefore, this paper introduces an advanced assessment, that is, Canadian Water Quality Index (CWQI). This method can help to provide comprehensive and objective water quality assessment for the urban rivers. Moreover, CWQI can prevent waste of the water resource, since current assessment is pessimistic and tent to underestimate water samples to a lower grade. Linyi development area is selected as study region and CWQI method is applied to assess two major urban rivers within the area. The water monitoring data from 2014 to 2017 is acquired in 24 parameters. Since the CWQI calculation is still based on traditional water quality measurement in parameters, there will be a huge cost when increasing research scale and accuracy. In this paper, remote sensing technique is employed to develop models of CWQI scores from satellite data. By utilizing 23 selected monitoring instances and matching satellite data, linear regression analysis shows that red band data has highest correlation with CWQI in both two urban rivers in the study region. In addition, two testing datasets with five instances for each river are used to validate the RS-based CWQI models and the results show that testing datasets can be fitted well. With the models, CWQI distribution diagrams are generated and assist both spatial and temporal analysis. Experimental results show that the proposed approach can indicate actual water quality pattern which is validated by field visit. The proposed approach in this paper has satisfying effectiveness and robustness. Keywords Remote sensing · Water quality index · Urban rivers · Spatial temporal analysis
Introduction From the dawn of human history, rivers played an important role in the development of civilization. Water resource Responsible Editor: Philippe Garrigues Chao Liu
[email protected] Sheng Miao [email protected] Binjie Qian [email protected] Qun Miao [email protected] 1
Qingdao University, 308 Ningxia Road, Qingdao, Shandong, 266071, China
2
Qingdao University of Technology, 11 Fushun Road, Qingdao, Shandong, 266033, China
is extremely critical to a city because it provides potable water, transport power, industrial production, and landscape. As a result, most famous cities were established near rivers. Nowadays, along with the urban exploitation and development, population and enterprise quantity grow rapidly, which causes severe water pollution. In China, infras
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