Department of Applied Geomatics Nong Lam University, Ho Chi Minh City (2) University of Technical Education Ho Chi Minh City (3)

Transcription

1 TRF-DSS CONFERENCE: DSS AS A COLLABORATIVE PLATFORM TOWARDS VIC FOR COLLECTIVE MANAGEMENT OF AGRICULTURAL AND NATURAL RESOURCES Nakhon Phanom, Thailand, September 10-11, 2013 Nguyen Kim Loi (1), Nguyen Duy Liem (1), Pham Cong Thien (1), Le Van Phan (1), Le Hoang Tu (1), Hoang Thi Thuy (1), Nguyen Van Trai (1), Tran Le Nhu Quynh (1), Nguyen Thi Tinh Au (2), Nguyen Thi Hong (3), R.Srinivasan (4) (1) Department of Applied Geomatics Nong Lam University, Ho Chi Minh City (2) University of Technical Education Ho Chi Minh City (3) Ha Noi Natural Sciences University (4) Texas A&M University, USA nguyenkimloi@gmail.com 1

2 Quang Nam Province problems Water Problems/Disasters (landslide, drought, flash flood, etc) High Growth Population, Social Complex Economic Growth Needs (hydropower construction, road building, deforestation) Land Use Change/Planning 16/09/2013 2

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4 Quang Nam Topography Map 16/09/2013 4

5 Climate Trend in Quang Nam province

6 Temperature trend in Quang Nam province Source: SEA-START Center, RCCC-NLU, Dragon Inst.

7 Rainfall trend in Quang Nam province Source: SEA-START Center, RCCC-NLU, Dragon Inst.

8 Objectives In order to support farmers who live in downstream Vu Gia watershed for preventing flooding Determine vulnerability flood area and peak flooding in Vu Gia watershed Build the online website support information about hydrometeorology at real-time Online DSS for Support farmer in vulnerability flood area by SMS message 16/09/2013 8

9 Data Collection Types of data Topography Land use Soil Weather (rainfall, temperature, humidity, ) Sources of data Department of Natural Resources and Environment of Quang Nam Participatory Rural Appraisal The Middle-Middle Region Hydro- Meteorological Centre Automatic Weather Stations Hydrology (water discharge, water level, ) The Middle-Middle Region Hydro- Meteorological Centre Socio-economic Participatory Rural Appraisal techniques 9/16/2013 Nguyen Kim Loi 9

10 Model Philosophy Readily available input Physically based Computer efficient Comprehensive Process Interactions Simulate Management

11 Data required to set-up SWAT Model SWAT Spatial Data Evaporatio n and transpiratio n Precipit ation Digital Elevation Data Land use /Land cover map Soil classification map Losses to deep groundwa ter Infiltrat ion Run off to stream s Retur n flows Generate d stream flow Reservoir Data Reservoir characteristics Release data Crop Data Crop calendar

12 Data required to set-up SWAT Model Time Series Data Evaporatio n and transpiratio n Precipit ation Weather Data Maximum / Minimum Temperature Solar radiation Wind speed Relative humidity Rainfall Evaporation (including the locations of stations) Losses to deep groundwa ter Infiltrat ion Run off to stream s Retur n flows Gener d strea flow Hydrological Data River flow for calibrating the model

13 SWAT model Input Data Processing and Display DEM Watershed Delineation SWAT Databases Hydrography Land Use HRU Definition Parameterization Editing Calibration Run SWAT Model Soils Weather Stations Validation Weather Output

14 Methodology Designing the real-time meteorology & hydrology data collector Meteorology collector The collector center GSM/3G SMS Functions: 1. Collect temperature, rainfall, humidity 2. Transmit data to server by GSM/3G 3. Automatically data processing PW Temperature sensor Humidity sensor Rainfall sensor

15 Methodology Designing the real-time meteorology & hydrology data collector Hydrology collector The collector center GSM/3G SMS PW Water discharge sensor Functions: 1. Collecting water discharge, water level data 2. Transmit data to server by GSM/3G 3. Automatically data processing Water level sensor

16 Updating data in real-time on website 16/09/

17 Diagram of Information Processing Data The sensors software displays processing Internet GSM results: The package will deliver results from SWAT to handle Sensors user directly data such SWAT as websites, Model SMS connected and to the online communication - Analysis of online the Processing dataserver Unit as well -as Combining via the cellular the data network collected Reporting and Software - Display to information collect and as map transmitting the result - For the final result is Processing synthesize flooded unit to support data center: areas (time, water level) transmitting using GSM/3G: - Receive data transmitted Processing - Export data Unit via the information - Software from the to collect data station Processing unit (collect system and outside process Transiting data to the SWAT center& HEC-RAS - Data analysis by time - period Raw data collection raw data) - Process, Receive Internet remote transmit commands - Transfer data to a database to the center in case to allow of the the system system has changing specialized software noticeable changes working modes in different -situations Processing unit receive Software command receive data Processing Unit remotely to allow the from system remote to be stations (transmit data via controlled via internet / GSM GSM/ 3G) 16/09/

18 Expectation A flood warning system via internet and SMS message Real-time meteorology & hydrology data can be used in future researches Database, analyses and reports Digital map of the area Devices Online geo-database Website given online information Solutions 16/09/

19 Contribution of the Project The real-time support for flood warning system helps to minimize losses (human life and possessions) in flash flood in the watershed. The Research Team hopes that this project is the starting point for building an Early Flood Warming System. GSM has covered almost all areas in Vietnam. Our system has been given possibility to integrate the system to any remote areas of the country. The website allows update information. The users are provided web interface to see current rainfall, water lever at the watershed origin The online changes of flood information are recorded and showed on the website. The information is valuable for residents. The data is even more valuable for officers / decision makers in the real cases. 16/09/

20 Contribution of the Project Data of several years is valuable input to generate flood warning function for each research location. The system will calibrate, update parameters based on calculating information and real data. The system will alter parameters so that the warning as close to the physical case as possible. The research result can be transfer to sever provinces/ cities. The project is a corporation of several different faculties/ majors (GIS, Information Technology, Mechanical Engineering, Natural Resource & Environment, Hydrology and Fishery. 16/09/

21 The Social Efficiency Once the research is approve, the data processing system provide residents with valuable to reduce their loss in flash flood every years The system give valuable information for decision makers in macro operations The system give valuable information for hydroelectricity factories in the watershed The system increase mindsets of deforestation since the rainfall, water level.. information are updated regularly on the website 16/09/

22 RESULTS AND DISCUSSIONS 16/09/

23 SWAT Database DEM 16/09/

24 SWAT database Soil database Vnese FAO Area(ha) Đất phù sa Dystric Fluvisols 5.290,00 Đất mùn vàng đỏ trên núi cao Humic Acrisols ,00 Đất xám trên phù sa cổ Orthic Acrisols ,00 Đất xám có tầng loang lổ Plinthic Acrisols ,00 Mặt nước ,35 Total ,35 16/09/

25 SWAT database Land use database /09/

26 Weather database Station: 16 stations During: Rainfall, - Temperature, - Relative Humidity, - Win speed, - Solar radiation 16/09/

27 Effect of Land use/land cover change on Water discharger 16/09/

28 Flooding Vulnerability Index (FVI) FVI = 3.37 to /09/

29 ม.ค.-00 ม.ค.-00 พ.ค.-00 ก.ค.-00 ก.ย.-00 พ.ย.-00 ม.ค.-01 ม.ค.-01 พ.ค.-01 ก.ค.-01 ก.ย.-01 พ.ย.-01 ม.ค.-02 ม.ค.-02 พ.ค.-02 ก.ค.-02 ก.ย.-02 พ.ย.-02 ม.ค.-03 ม.ค.-03 พ.ค.-03 ก.ค.-03 ก.ย.-03 พ.ย.-03 ม.ค.-04 ม.ค.-04 พ.ค.-04 ก.ค.-04 ก.ย.-04 พ.ย.-04 ม.ค.-05 ม.ค.-05 พ.ค.-05 ก.ค.-05 ก.ย.-05 พ.ย.-05 ม.ค.-06 ม.ค.-06 พ.ค.-06 ก.ค.-06 ก.ย.-06 พ.ย.-06 ม.ค.-07 ม.ค.-07 พ.ค.-07 ก.ค.-07 ก.ย.-07 พ.ย.-07 ม.ค.-08 ม.ค.-08 พ.ค.-08 ก.ค.-08 ก.ย.-08 พ.ย.-08 ม.ค.-09 ม.ค.-09 พ.ค.-09 ก.ค.-09 ก.ย.-09 พ.ย.-09 Research Center for Climate Change (RCCC) Nong Lam University Ho Chi Minh City, Vietnam Observed Simulated Comparison of simulated and observed water discharge during period at Thanh My monitoring station 16/09/

30 Flooding Area Map in Vu Gia watershed on October 24, 2012 Flooding level Area (ha) (%) Low (3,37-5,00) 224,364 48,20 Middle ( 5,00-7,00) 132,421 28,40 High (7,00-8,37) 109,169 23,40 16/09/

31 Automatic Meteorology/ Hydrology Weather Stations Sensor mực nước Module vi xử lý Module truyền dữ liệu GSM/3G Ắc quy Anten GSM bộ truyền dữ liệu Panel năng lượng Cáp truyền dẫn Hộp bảo vệ 16/09/

32 Automatic Weather Stations 16/09/

33 Automatic Meteorology/ Hydrology Weather Stations 16/09/

34 Automatic Meteorology/ Hydrology Weather Stations 16/09/

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36 Updating weather data in real-time on website 16/09/

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40 Online automatic updated at website ( Station Code, Automatic updated data for 30mins Daily statistics 16/09/

41 WebGIS for Flooding Control Rainfall Stations Geo-Database Subbasin View Graph 30days/24 hours 16/09/

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45 CONCLUSIONS This research is just the first step apply SWAT and HEC-RAS model in Vu Gia watershed. The SWAT model performed well in simulating the general trend of surface runoff at watershed over time for secondly, hourly, daily, monthly time intervals. This paper provides an insight of how the HEC-RAS model can be a useful tool for providing important information about river flow fluctuations affected by extreme rainfall events. Future studies are needed to evaluate with more detail each land management practice. Work is still in progress to improve SWAT and HEC- RAS data bases to Vu Gia watershed, Quang Nam province, Vietnam - tropical conditions. 16/09/

46 Applied Geomatics Team at Nong Lam University Assoc.Prof. Nguyen Kim Loi Dr. Nguyễn Văn Trai Mrs. Hoàng Thị Thủy Ms. Nguyễn Thị Hồng, PhD student Mr. Lê Văn Phận PhD Student Dr. Phạm Công Thiện Ms. Nguyễn Thị Huyền PhD Student Ms. Trang Dr. Trương Văn Vinh Mr. Lê Hoàng Tú Mr. Nguyễn Duy Liêm Ms. Nguyễn Thị Tịnh Ấu PhD student

47 ACKNOWLEDGEMENTS The authors acknowledge the MOST (Ministry of Science and Technology) funded project for funding this research. 47 Nguyen 9/16/2013 Kim Loi

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