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Title Transcription
エイセイ リモートセンシング ニヨル ナカウミ シンジコ ノ スイシツ ノウド マッピング ソノ1 アオコ ハッセイジ ノ トウメイド ケンダク ブッシツ ノウド オヨビ クロロフィルa ノウド ノ メンテキ ハアク
Title Alternative (English)
Water Quality Mapping in Lake Shinji and Lake Nakaumi Using Satellite Remote Sensing Data(Part 1) : Horizontal Distribution of Secchi Depth, Suspended Substance Concentration and Chlorophyll-a Concentration under Algal Bloom Condition
File
language
jpn
Author
Sakuno, Yuji
Nakayama, Daisuke
Matsunaga, Tsuneo
Takayasu, Katsumi
Rokugawa, Shuichi
Nakamura, Mikio
Kunii, Hidenobu
Description
Simultaneous water quality research with satellite observation were carried out in Lake Shinji and Lake Nakaumi from June to November, 1997. The objective of this report is to know horizontal distributions of Secchi depth (SD), suspended substance concentration (SSC) and chlorophyll a (C) in Lake Shinji and Lake Nakaumi 1997. Average SD ranges 1.0-1.3 m, average SS ranges 5-8mg/1, average C ranges 25-42 μg/l in Lake Shinji. C is the most variable of the three water quality parameters in Lake Shinji. Honjo area water located in the northern part of Lake Nakaumi, showed higher SD, lower SS and lower C than the Nakaumi area water. Under algal bloom condition, Lake Shinji water showed lower SD, higher SS and much higher C than Lake Nakaumi water. An empirical approach of relating SPOT2/HRV data with simultaneous C data through simple linear regression analysis was employed. Highly significant relationships (r=0.79) were identified between HRV bandl (Green) and C. With the linear regression model (C=3.864+HRV bandlx8.64), C map in Lake Shinji and Lake Nakaumi was displayed. The C map in Lake Shinji showed wholly high concentration, especially in the northern parts of the lake.
Subject
remote sensing
SPOT2/HRV
algal bloom
Lake Shinji
Lake Nakaumi
Journal Title
Laguna : 汽水域研究
Volume
5
Start Page
183
End Page
196
ISSN
21852995
Published Date
1998-03
NCID
AN10439529
Publisher
島根大学汽水域研究センター
NII Type
Departmental Bulletin Paper
Format
PDF
Text Version
出版社版
OAI-PMH Set
Estuary Research Center
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