scholarly journals Primary Water-Quality Factors Influencing Long-Term Change of Blue-Green Algal Growth in Lake Kasumigaura

2017 ◽  
Vol 40 (2) ◽  
pp. 87-96
Author(s):  
Yutaka SUZUKI ◽  
Yoshiyuki SHIBAYAMA ◽  
Seiichiro OKAMOTO
Keyword(s):  
Water Quality ◽  
Algal Growth ◽  
Lake Kasumigaura ◽  
Quality Factors ◽  
Green Algal ◽  
Factors Influencing ◽  
Term Change ◽  
Primary Water

Assessment of the water quality factors influencing the primary production in Lake Kasumigaura

2020 ◽  
Vol 76 (7) ◽  
pp. III_11-III_17
Author(s):  
Kazuhiro KOMATSU ◽  
Megumi NAKAGAWA ◽  
Kenji TSUCHIYA ◽  
Ayato KOHZU ◽  
Ryuichiro SHINOHARA ◽  
...  
Keyword(s):  
Water Quality ◽  
Primary Production ◽  
Lake Kasumigaura ◽  
Quality Factors ◽  
Factors Influencing

scholarly journals Study of the Long-term Change of Groundwater Level and Water Quality in the Vicinity of a Dam

1996 ◽  
Vol 40 ◽  
pp. 93-100
Author(s):  
Isao SHIOZAKI ◽  
Fusetsu TAKAGI ◽  
Uichiro MATSUBAYASHI ◽  
Hiromi KOJO
Keyword(s):  
Water Quality ◽  
Groundwater Level ◽  
Term Change

scholarly journals LONG-TERM CHANGE OF WATER QUALITY IN THE RESERVOIR OF THE ISAHAYA BAY RECLAMATION PROJECT

2013 ◽  
Vol 15 (1) ◽  
pp. 21-28 ◽  
Author(s):  
Y. Mitsugi ◽  
N. Vongthanasunthorn ◽  
Y. Mishima ◽  
K. Koga ◽  
H. Araki ◽  
...  
Keyword(s):  
Water Quality ◽  
Isahaya Bay ◽  
Term Change ◽  
Reclamation Project

Vivid Imagers Are Better at Detecting Salient Changes

2006 ◽  
Vol 27 (4) ◽  
pp. 218-228 ◽  
Author(s):  
Paul Rodway ◽  
Karen Gillies ◽  
Astrid Schepman
Keyword(s):  
Individual Differences ◽  
Change Detection ◽  
Visual Imagery ◽  
Detection Task ◽  
Level Of Detail ◽  
Detection Accuracy ◽  
Change Detection Task ◽  
Term Change ◽  
High Level

This study examined whether individual differences in the vividness of visual imagery influenced performance on a novel long-term change detection task. Participants were presented with a sequence of pictures, with each picture and its title displayed for 17  s, and then presented with changed or unchanged versions of those pictures and asked to detect whether the picture had been changed. Cuing the retrieval of the picture's image, by presenting the picture's title before the arrival of the changed picture, facilitated change detection accuracy. This suggests that the retrieval of the picture's representation immunizes it against overwriting by the arrival of the changed picture. The high and low vividness participants did not differ in overall levels of change detection accuracy. However, in replication of Gur and Hilgard (1975) , high vividness participants were significantly more accurate at detecting salient changes to pictures compared to low vividness participants. The results suggest that vivid images are not characterised by a high level of detail and that vivid imagery enhances memory for the salient aspects of a scene but not all of the details of a scene. Possible causes of this difference, and how they may lead to an understanding of individual differences in change detection, are considered.

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