JSPS Multilateral Cooperative Research Program

JSPS (Japan Society for the
Promotion of Science)
Multilateral Cooperative
Research Program
Coastal Marine Science
2001-2010
Japan, Indonesia, Malaysia, Thailand, Vietnam, Philippines
4 projects
Project 1: Water circulation and the process of material transport
in the coastal area and marginal seas of the East and
Southeast Asia (P.I., T.Yanagi, Kyushu Univ.)
Project 2: Ecology and oceanography of harmful marine microalgae
(P.I., Y.Fukuyo, Univ. of Tokyo)
Project 3: Biodiversity studies in the coastal waters of the eastern
and the southeastern Asia
(P.I., K.Matsu-ura, National Museum)
Project 4: Pollution of hazardous chemicals in the coastal marine
environment and their ecological effect
(P.I., N.Miyazaki, Univ. of Tokyo)
Project 1
Regional Studies
Gulf of Tongking
Banpakong Est.
Manila Bay
Malacca Str.
Java Sea
Fish cage dev.
400
300 Production
200
100
Cages
0
800
600
400
200
0
1999 2000 2001 2002 2003
Product.
Cages (unit)
500
Precipitation
Fish cage
Depth (m)
-2
Hurun bay
SFC
-6
Warm
-10
-14
Cold
-18
-22
Scale
Hatchery
5 km
-26
-30
Depth (m)
2
November 03 (Tr D-W), January 04,
March 04 (WET=NW Monsoon),
April 04,May 04 (Tr W-D), June 04,
July 04, August 04, September 04
(Dry=SE Monsoon)
-2
-6
-10
-14
-18
8 Stations
3 Stations
-22
-26
-30
- Temperature, Salinity, Transparency,
DO, DIN, DIP, TOM,
Fitoplankton
- Precipitation, Solar Radiation and
Wind
Tran W-D
Dry
Tran D-W
0.600
0.556
0.500
DIN (mg/l)
Wet
0.474
0.409
0.400
0.300
0.326
0.187
0.200
0.103
0.100
0.108
0.080
0.000
Wet
Trans-W-D
DIN(S)
Dry
DIN(B)
Trans-D-W
Seasonal variations in average residence time
and water temperature
25
Residence time (days)
23.3
20
18.6
15
10
5
3.2
5.4
0
Wet
Trans W-D
Dry
Trans D-W
31.0
30.8
Temperatur ( oC)
30.8
30.6
30.4
30.4
30.2
30.1
30.0
29.8
Suhendar and Yanagi (2006)
30.0
29.6
29.4
Wet
Trans-W-D
Dry
Trans-D-W
Recommendation
Carrying capacity of fish culture in Hurun Bay varies
seasonally.
Cultured fish number and bait must be reduced
during transition seasons.
Special field observations in the
Upper Gulf of Thailand
9-11 Oct., 4-6 Dec. 2003
13-15 Jan. 2004
12-14 May, 7-9 Oct. 2004
26-29 Jul., 1-4 Nov. 2005
23-26 Jul. 2006
Transparency
CTD, DO
Water sampling
Plankton net
Light characteristics
GPS buoys tracking
Objectives
1. To develop the air-correction algorithm of ocean color images
2. To develop the water-correction algorithm of ocean color images
3. To develop the hydrodynamical model
4. To develop the ecosystem model
5. To investigate the relation between surface convergence and
primary production
What is the generation mechanism of the patchiness structure
in the ocean?
Local algorithm for chl.a
Chl.a(μg/l)=181.4exp(-4.74R)
R=Rrs(520)/Rrs(565)
Matsumura et al. (2006)
MERIS
MODEL
Oct 2003
28 Oct 2003
Anukul and Yanagi (2006)
Comparison between satellite image
and model result
Frequency diagram of Model and MERIS Chl-a
800
MERIS
Model
700
600
400
300
200
100
Chl-a Bin [mg/m^3]
Oct. 2003
14.8
14.4
14.0
13.6
13.2
12.8
12.4
12.0
11.6
11.2
10.8
10.4
9.6
10.0
9.2
8.8
8.4
8.0
7.6
7.2
6.8
6.4
6.0
5.6
5.2
4.8
4.4
4.0
3.6
3.2
2.8
2.4
2.0
1.6
1.2
0.8
0.4
0
0.0
Frequency
500
MERIS
5 Dec 2003
MODEL
Dec 2003
MERIS
3 Jan 2004
MODEL
Jan 2004
MERIS
MODEL
16 Jul 2005
Jul 2005
Chlorophyll and Vertical Diffusivity
CU – 6 (Jul 2005)
19
Sensitivity Analysis
CU – 5 (Oct 2004)
Strong Wind
Normal
Weak Wind
20
Observation data
1996.3～1998.12
8 stations
(-1m, middle, bottom)
6
3
5
2
4
8
T,S,Chl.a
7
1
Box model analysis
Load from Ｐａｓｉｇ river
Ｐａｓｉｇ川からの負荷
500 km2
6
3
5
2
4
1
Horizontal
Advection
and
diffusion
35 km
3m
7
8m
10 m
Vertical
鉛直
Release
Advection
移流・拡散溶出
and
diffusion
Load 1= 8.05×106μmol/s
DIN budget in Manila Bay
Apr. (dry)
deposition＜
photosynthesis
２
D＜P
（2.21）
１
Nov. (rainy)
（1.66）
（2.67）
Deposition >
photosynthesis
１９
３０(=20+10)
D≒P
０
（4.47）
（4.44）
５
２６(=8+18)
D＞P
（1.96）
３
（7.04）
４
D＜P
（7.32）
１９(=3+16)
２
４
（ＤＩＮμmol/l）
D＞P
（9.44）
２２(=21+1)
D＞P
（0.10）
９
AVISO
Aliasing
62.10
days
Aliasing
58.75
days
Aliasing
45.71
days
Aliasing
173.22
days
Morimoto(2008)
Tide error（M2+S2+K1+O1）
Morimoto(2008)
Ecological roles of seagrass beds
Buffering effects of waves and currents
Protection against erosion
Absorption of nutrients and production of oxygen
Primary production comparable to tropical rain forests
Spawning, nursery and feeding grounds for fishes and molluscs
Habitat for epiphytic animals and plants
Contribution to bio-diversity
Decrease in seagrass beds in the world
Increase in population along the coasts induces
eutrophication and reclamation.
Reclamation destroys habitat of seagrass.
Seagrass is sensitive to low transparency due to
eutrophication and water pollution.
Necessity to map seagrass bed distributions in an efficient
way such as satellite imagery
Cooperative study on seagrass mapping using
ALOS Avnir-2 imagery
Prof. M. Ibrahim Seeni Mohd
(Universiti Technologi Malaysia)
Sea truthing: Langkawi (March)
and Tioman Isles. (This year)
Counterpart: Dr. T. Komatsu
(ORI, Univ. Tokyo)
Dr. Mahatma Lanuru
(Hasanuddin University)
Sea truthing: Barrang Isles.
(next July)
Project 1:Water circulation and
Material transport
Future from 2008 to 2010
Numerical ecosystem model is a very powerful tool for synthesize physical,
chemical and biological data in the coastal sea.
We will carry out interdisciplinary study using ecosystem model coupled with
hydrodynamical model in
Gulf of Thailand
Manila Bay
Jakarta Bay
Gulf of Tonking
Eastern coastal sea of Malaysia
Satellite remote sensing on sea-grass beds and coral reefs using
ALOS in the coastal sea of Malaysia.

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