This study selects the typical middle and lower reaches of Han River as the study area and focuses on water quality
evaluation methods and water quality evaluation of the surface water of the river basin. On the basis of the field survey,
the author conducted a water quality sampling survey in the study area in spring and summer in 2012. The main
excessive factors in the study area are determined as TN and TP. Using HJ1A/1B CCD multi-spectral data, the multiple
linear regression inversion model and neural network inversion model are established for content of TN and TP. In
accordance with these inversion results, the single factor water quality identification indexes in the study area are
obtained. The results show that, BP neural network model boasts the highest inversion accuracy and that the single factor
water quality identification indexes resulting from its inversion results are highly accurate, reliable and applicable, which
can really reflect the changes in water quality and better realize the evaluation of water quality in the study area. Water
quality evaluation results show that the water pollution in the study area is organic pollution; the water quality of Han
River experiences large differences in different regions and seasons; downstream indexes are superior to upstream
indexes, and the indexes in summer are superior to those in spring; the TN index seriously exceeds the standard in spring
and the TP index seriously exceeds the standard in some regions.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.