Water Resource Data GRI D in Thailand By Royol CHITRADON, - - PowerPoint PPT Presentation

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Jan 26, 2023 167 likes •520 views

Water Resource Data GRI D in Thailand By Royol CHITRADON, royol@haii.or.th Hydro and Agro I nformatics I nstitute, www.haii.or.th National Science and Technology Development Agency Ministry of Science and Technology Technology at HAI I Mobile

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By Royol CHITRADON, royol@haii.or.th Hydro and Agro I nformatics I nstitute, www.haii.or.th National Science and Technology Development Agency Ministry of Science and Technology

Water Resource Data GRI D in Thailand

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Mobile Telem etering

For monitoring temperature, humidity, solar intensity, air pressure, rainfall, etc for 24 hours a day. The real-time data is transmitted via GPRS package radio, etc.

Technology at HAI I

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พฤศจิกายน 2548 รายงานความกาวหนา 32

The application of I nternet GI S– MI S for w ater resource and agricultural m anagem ent, and com m unity developm ent

I nternet GI S - MI S

Technology at HAI I

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Terabyte Server

Data w arehouses consist of a cluster of com puters operated as a server and connected w ith backup archives.

Technology at HAI I

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www.thaiwater.net www.thaiwater.net www.thaiweather.net www.thaiweather.net

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w w w .thaiw ater.net

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Thaiw ater.net presents w ater related inform ation including:

Storm direction Rainfall information Water diagram Water level in Chaopraya River

Basin and Pasak River Basin

Water level and rainfall in

Bangkok

Dam water level Water model and warning

system in flood and drought for water management.

w w w .thaiw ater.net

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w w w .thaiw eather.net

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w w w .thaiw eather.net

Thaiw eather.net presents autom atic real - tim e data collected from Mobile Tele Metering and Autom atic W eather Stations nationw ide. At present, there are over 3 0 0 stations in operation. It was designed to be portable and easy to install with prompt responses via GPRS system on mobile

phones. Moreover, the system can be real-time

inspected by Internet (WWW) or WAP. This system can measure various types of data including:

Solar intensity Temperature Humidity Air pressure Rainfall Water level

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‘ ‘Data Data’ ’ as a Service as a Service

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‘ ‘Data Data’ ’ as a Service as a Service

Data Source 1 Data Source 2

Transformation

Data Source 3 Data Source 4

Transformation

Data Source 5 Data Source 6

Transformation Data Warehouse Data Warehouse

Data Access

Method

Metadata/

Semantic

Data Definitions
Data Structures
Platform

Independent

Standards & Controls

‘ ‘Data Data’ ’ Grid Grid Data Warehouse Data Warehouse Data Services Data Services

Data Warehouse

Data Exchange

Protocols

Tag / Metadata
Data Definitions
Data Structures
Platform

Independent

Standards & Controls

‘Middleware’

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Data Source 1 Data Source 2

Transformation

Data Source 3 Data Source 4

Transformation

Data Source 5 Data Source 6

Transformation Data Warehouse Data Warehouse

Data Access

Method

Metadata/

Semantic

Data Definitions
Data Structures
Platform

Independent

Standards & Controls

‘ ‘Data Data’ ’ Grid Grid Data Warehouse Data Warehouse Data Services Data Services

Data Warehouse

Data Exchange

Protocols

Tag / Metadata
Data Definitions
Data Structures
Platform

Independent

Standards & Controls

‘Middleware’

‘ ‘Data Data’ ’ as a Service as a Service

PHP5 PHP5 GML GML PHP5 PHP5 Web Services Web Services Extract, Load, Transform Extract, Load, Transform

FTP FTP PHP5 PHP5

SOA SOA Web Services Web Services Semantic Web Semantic Web

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2548 2549 2550 2551 Onward PHP 4 PHP 4 PHP 5 PHP 5

PEAR:DB DB-Pager PEAR:DB DB-Pager PEAR Pager PEAR Pager PEAR PHP-Compat PEAR PHP-Compat PEAR Data-Grid PEAR Data-Grid PEAR MDB2 PEAR MDB2

PHP 6 PHP 6 …. …. Javascript Javascript CSS CSS HTML HTML

CSS Design Pattern CSS Design Pattern HTML Design Pattern HTML Design Pattern

XHTML XHTML Geospatial Web Geospatial Web XML XML CMS CMS Semantic Web Semantic Web

- - - Continuous Improvement - - - -

SVG SVG

Web 3.0 Web 2.0

Web Service Web Service SOAP SOAP REST REST Wiki Wiki AJAX AJAX

In Place Editor In Place Editor Effect Effect Auto Complete Auto Complete Drag & Drop Drag & Drop

SOA SOA

SaaS podcast longtail ASP MCF community weblog web as platform collective intelligence collaboration journal

RSS RSS XSLT XSLT

social software

Web 2.0 สวนที่ HAII ไมไดเลือกใช

Climate Change in GLOBAL

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Climate Change in SEA Region

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SSH on December 11th, 2007

SSH raising is shown in Gulf of Thailand and Andaman Sea, and SSH of the east of Pacific and the west of Indian Sea is lower. This pattern is similar to the year 2002 and 2006 which had heavy flood.

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SSH on December 12th, 2001

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SSH on December 10th, 2005

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SSH on December 11th, 2004

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2008 Rainfall Projection

by using December 2007 SSH Image

Sea surface height anomalies – SSH is result of sea surface temperature difference and sea surge in the ocean. Sea surface is the major part of an earth surface, so, changing or movement of sea is a good indicator of a long range weather projection in each year. It is similar to using sea surface temperature anomalies to project elNino and Lanina which will indicate annual rainfall projection. It is founded that SSH of this year – 2008 is similar to the year 2002 and 2006 (heavy flood year), and the pattern is in opposite of the year 2005 (drought year). By this comparison, rainfall pattern of this year is projected. Then projection of 2008 Rainfall would be similar to 2002 Rainfall.

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Climate Change in Thailand

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159.70 96.19 0.60

30.08

112.93

2.19%

0.04% 7.00% 8.22% 11.62%

100.00
50.00

0.00 50.00 100.00 150.00 200.00

2546 2547 2548 2549 2550

Year in B.E.

(702,917 MCM.)

(1,374 mm.)

(687,228 MCM.) (751,798 MCM.) (784,274 MCM.) (760,358 MCM.)

Data from TMD Automatic Rain Guage

Max. annual rainfal : 4,853.4 mm. in

Trad 2005

Min. annual rainfall: 647.7 mm. in

Supanburi 2004 Average Rainfall in 48 yrs., 1950-1997 1,374 mm. Volume 702,610 MCM. Country Area 511,361 sqKM.

Annual Rainfall Deviation in mm.

Annual Rainfall in MCM.