Spectral Characteristics of Nitrogen and Phosphorus in Water

Meiping Song, En Li, Chein I. Chang, Yulei Wang, Chunyan Yu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

The concentration of nitrogen and phosphorus in the waters is an important indicator to affect water quality and determine the degree of water pollution. The development of hyperspectral remote sensing technology makes it possible to monitor the concentrations of nitrogen and phosphorus in different water areas. In this experiment, the spectral curves of different concentrations of nitrogen and phosphorus solutions were collected by using an imaging spectrometer under laboratory conditions. Then compare the spectral curves of different concentrations of sodium phosphate solution by PSR spectrometer, to analyze the sensitive bands of nitrogen and phosphorus. The experimental results show that for phosphorus, its concentration as a whole is positively correlated with the spectral reflectance. In the wavelength range of 450–630 nm, there is a strong positive correlation between the concentration of phosphorus and the spectral reflectance. The correlation coefficient is above 0.8, and the maximum positive correlation is 0.9 at 550, 603, and 740 nm. For nitrogen, its concentration as a whole is negatively correlated with the spectral reflectance. In the wavelength range of 560–850 nm, the correlation coefficient fluctuates within the range from −0.6 to 0.95, and the maximum negative correlation of 0.95 is achieved at 603, 670, and 807 nm.

Original languageEnglish
Title of host publicationCommunications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II
Subtitle of host publicationSignal Processing
EditorsQilian Liang, Xin Liu, Zhenyu Na, Wei Wang, Jiasong Mu, Baoju Zhang
PublisherSpringer Verlag
Pages569-578
Number of pages10
ISBN (Print)9789811365034
DOIs
Publication statusPublished - 2020
EventInternational Conference on Communications, Signal Processing, and Systems, CSPS 2018 - Dalian, China
Duration: 2018 Jul 142018 Jul 16

Publication series

NameLecture Notes in Electrical Engineering
Volume516
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Communications, Signal Processing, and Systems, CSPS 2018
Country/TerritoryChina
CityDalian
Period18-07-1418-07-16

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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