Hydro and Agro Informatics Institute

Bangkok, Thailand

Hydro and Agro Informatics Institute

Bangkok, Thailand
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Deeprasertkul P.,Hydro and Agro Informatics Institute | Praikan W.,Hydro and Agro Informatics Institute
2016 International Conference on Information and Communication Technology Convergence, ICTC 2016 | Year: 2016

This paper presents an approach for getting rainfall forecasting from the coupling the Weather Research and Forecasting model (WRF) with the Regional Ocean Model System (ROMS) model to be the uncertainty of hydrological model. The results from this coupling model are the average amount of rainfall forecasting in sub-basin areas. This operation is the automated image analysis and data entry process to hydrological model for water balance prediction. This work aims to assist in the rainfall forecasting estimation for water balance monitoring and analyzing. © 2016 IEEE.


Tasaduak S.,Kasetsart University | Weesakul S.,Hydro and Agro Informatics Institute
Journal of Coastal Conservation | Year: 2016

A dynamic equilibrium bay (DEB) is an embayment with continuous sediment supply and its shoreline planform can remain stable over a long period of time without erosion or accretion. For coastal conservation of sandy headland-bay beaches (HBB), the concept of using a static equilibrium bay (SEB) is well known, but that for DEB has received little attention. Moreover, an empirical equation for the stability of a DEB is not yet available. Experiments on DEB shape that aim to derive new coefficients in the parabolic bay shape equation (PBSE) for DEB are now being conducted in the laboratory. The work commences from an initial artificial HBB in static equilibrium with sediment supply source from the lee of an upcoast headland. A final equilibrium planform is obtained for the condition with a specific wave obliquity and sediment supply rate until no further shoreline change is found. In order to fit the PBSE for a DEB, a new parameter called SSR (sediment supply ratio) that represents the ratio of sediment supply rate from the source and the potential longshore sediment transport rate is introduced to quantify the balance of sediment to the bay. Alternative C coefficients in the PBSE for DEB, which include wave obliquity and the SSR, are then calculated. These new coefficients for DEB can now be used to evaluate the influence of sediment supply from a riverine source on a DEB and to classify its equilibrium status for planning sediment management strategies in coastal conservation. © 2016 Springer Science+Business Media Dordrecht


Grant
Agency: European Commission | Branch: FP7 | Program: CSA | Phase: INFRA-2007-3.3;INFRA-2007-3.0-03 | Award Amount: 1.45M | Year: 2008

The EUAsiaGrid proposal contributes to the aims of the EU Research Infrastructures FP7 Programme by promoting international interoperation between similar infrastructures with the aim of reinforcing the global relevance and impact of European e-Infrastructures. The projects main goal will be to pave the way towards an Asian e-Science Grid Infrastructure, in synergy with the other European Grid initiatives in Asia, namely EGEE-III via its Asia Federation, and both the EUChinaGRID and EU-IndiaGRID projects and their eventual follow on efforts. Taking advantage of the existing global Grid technologies, with the specific emphasis on the European experience with the gLite middleware and applications running on top of it, the project plans to encourage federating approaches across scientific disciplines and communities. EUAsiaGrid will act as a support action, aiming to define and implement a policy to promote the gLite middleware developed within the EU EGEE project across Asian countries. Its main actions will be to spread dissemination, provide training, support scientific applications and monitor the results.


Tantianuparp P.,Wuhan University | Tantianuparp P.,Hydro and Agro Informatics Institute | Balz T.,Wuhan University | Wang T.,Wuhan University | And 3 more authors.
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2012

Persistent Scatterer Interferometry (PS-InSAR) is applied to derive displacement information with millimetric precision. Analyzing stable persistent scatterers from a large stack of SAR images,helps to overcome the geometrical and temporal decorrelation, which occur when using differential interferometry. The removal of the topographic phase with an external DEM seems to cause problems. In our experiment, we select three different DEMs: ASTER GDEM, a DEM derived from a digitized topographic map, and SRTM-3 in order to analyze the influence of the input DEMs for PS-InSAR processing in the Three Gorges area. We find that differential interferogram generation is related to the topographic influence for the PS-InSAR processing and different DEMs get us different PS-InSAR results. © 2012 IEEE.


Tantianuparp P.,Wuhan University | Tantianuparp P.,Hydro and Agro Informatics Institute | Shi X.,Wuhan University | Liao M.,Wuhan University | And 2 more authors.
European Space Agency, (Special Publication) ESA SP | Year: 2013

Landslides are a major hazard in steep mountainous area, like the Three Gorges area. The Three Gorges dam was built on a geologically unstable zone. The geological pressures from the rising water level caused by the dam and the deforestation have further increased the possibility for landslides in the area. Many landslide monitoring techniques are applied to analysis, forecast, and control landslides in this area. D-InSAR and PS-InSAR, the time series InSAR analysis, are used for terrain motion detection and to estimate displacement trends. In this paper, SAR data from systems with different wavelengths, like the C-band ASAR, the L-band PALSAR, and the high-resolution TerraSAR-X X-band data, are used.


Pattanavijit N.,Chulalongkorn University | Vateekul P.,Chulalongkorn University | Sarinnapakorn K.,Hydro and Agro Informatics Institute
Proceedings of the 2015 12th International Joint Conference on Computer Science and Software Engineering, JCSSE 2015 | Year: 2015

Hydro and Agro Informatics Institute (HAII) has installed more than 800 telemetry stations across Thailand to collect water level data for operation tasks and researches, e.g., flooding prevention system. To have an accurate result, it is crucial to control the quality of data by detecting and filtering out anomalies. In our previous work, a data quality management system to capture various types of errors was proposed. However, the algorithms to detect outliers and missing patterns are based on DBSCAN, which requires complicated implementation and excessive computational cost. In this paper, we present a novel clustering algorithm specially designed for water-level data called 'Linear Clustering. ' Compared to DBSCAN, it is not only much easier to develop, but it also requires less computational time without losing any detection accuracies. An analysis of the runtime showed that the proposed algorithm requires linear time. Experiments were conducted on large scale water-level data. For outlier detection, the new method took only 3 seconds on 30,000 records of data, while the previous work took 261 seconds. For missing pattern detection, although there is no difference in runtime, Linear Clustering's code is uncomplicated, and therefore it requires less developing time. © 2015 IEEE.


Markpeng P.,Chulalongkorn University | Wongnimmarn P.,Chulalongkorn University | Champreeda N.,Chulalongkorn University | Vateekul P.,Chulalongkorn University | Sarinnapakorn K.,Hydro and Agro Informatics Institute
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2014

Climate change has increased the number of occurrences of extreme events around the world. Warning and monitoring system is very important for reducing the damage of disasters. The performance of the warning system relies heavily on the quality of data from automated telemetry system (ATS) and the accuracy of the predicting system. Traditional quality management systems cannot discover complicated cases, such as outliers, missing patterns, and inhomogeneity. This paper proposes novel procedures to handle these complex issues in hydrological data focusing on water level. In the proposed system, DBSCAN, which is a clustering algorithm, is applied to discover outliers and missing patterns. The experimental results show that the system outperforms a statistical criterion, mean ± n×SD, where n is a constant. Also, all missing patterns can perfectly be discovered by our approach. For the inhomogeneity problem, several statistical approaches are compared. The comparison results suggest that the best homogenization tool is changepoint, a method based on F-test. © 2014 Springer International Publishing Switzerland.


Kamdee K.,Thailand Institute of Nuclear Technology | Srisuk K.,Kean University | Lorphensri O.,Ministry of Natural Resources and Environment | Chitradon R.,Hydro and Agro Informatics Institute | And 3 more authors.
Journal of Radioanalytical and Nuclear Chemistry | Year: 2013

The Upper Chi river basin is located in the vicinity of Chaiyaphum province, northeastern Thailand. Groundwater management in the drought affected area of fractured Mesozoic siliciclastic rocks groundwater system was challenged by the approaches of isotope and chemical techniques. The local meteoric water line (LMWL) of the study area provide lower slope (δD = 6.8508δ18O - 0.8013) and more depleted average annual rainfall (δ18O = -7.6 %ο) when compare to LMWL of Bangkok due to higher evaporation. The surface water mainly exhibits an evaporation effect and can be clearly divided into two groups, the upper reaches and the downstream areas, with approximate separated in δ18O by -4.0 %ο. The groundwater system in the area can be divided into seven subareas based on the stable isotope characteristics and groundwater dating by radiocarbon and tritium methods. Nong Bua Deang subarea, Kang Kro subarea, and Thep Satit subarea, the most upstream system which were separated by thick aquitards of Phra Wihan sandstones, are classified as the upper reach area. The groundwater samples are characterized in two traits: the upstream group shows older groundwater ages (<80.0 % modern carbon, PMC) because of less interaction with surface water and the downstream group, near main channels and reservoirs, exhibit younger groundwater ages because of contribution of surface water in the recharge area. Bamnet Narong subarea and Muang Chaiyaphum subarea are classified as the middle reach area. The groundwater shows rapidly recharge from rainfall, the results of radiocarbon provide younger ages. The downstream characteristic which is closely interaction of extremely evaporated surface, were found in Kon Sawan-Mancha Kiri subarea and Ban Phai subarea. Almost all the groundwater samples are related to younger ages except the wells near the upper tributaries. The groundwater management can be proposed by attending to conservation policy in the upper reach area, and some parts of Ban Phai subarea in which groundwater is slowly replenished slowly, as well as groundwater exploration will be expanded in the Bamnet Narong subarea and the Muang Chaiyaphum subarea which is the most effective zones for groundwater developments. © 2013 Akadémiai Kiadó, Budapest, Hungary.


Meesuk V.,UNESCO-IHE Institute for Water Education | Meesuk V.,Hydro and Agro Informatics Institute | Vojinovic Z.,UNESCO-IHE Institute for Water Education | Mynett A.E.,UNESCO-IHE Institute for Water Education | And 2 more authors.
Advances in Water Resources | Year: 2015

Remote Sensing technologies are capable of providing high-resolution spatial data needed to set up advanced flood simulation models. Amongst them, aerial Light Detection and Ranging (LiDAR) surveys or Airborne Laser Scanner (ALS) systems have long been used to provide digital topographic maps. Nowadays, Remote Sensing data are commonly used to create Digital Terrain Models (DTMs) for detailed urban-flood modelling. However, the difficulty of relying on top-view LiDAR data only is that it cannot detect whether passages for floodwaters are hidden underneath vegetated areas or beneath overarching structures such as roads, railroads, and bridges. Such (hidden) small urban features can play an important role in urban flood propagation. In this paper, a complex urban area of Kuala Lumpur, Malaysia was chosen as a study area to simulate the extreme flooding event that occurred in 2003. Three different DTMs were generated and used as input for a two-dimensional (2D) urban flood model. A top-view LiDAR approach was used to create two DTMs: (i) a standard LiDAR-DTM and (ii) a Filtered LiDAR-DTM taking into account specific ground-view features. In addition, a Structure from Motion (SfM) approach was used to detect hidden urban features from a sequence of ground-view images; these ground-view SfM data were then combined with top-view Filtered LiDAR data to create (iii) a novel Multidimensional Fusion of Views-Digital Terrain Model (MFV-DTM). These DTMs were then used as a basis for the 2D urban flood model. The resulting dynamic flood maps are compared with observations at six measurement locations. It was found that when applying only top-view DTMs as input data, the flood simulation results appear to have mismatches in both floodwater depths and flood propagation patterns. In contrast, when employing the top-ground-view fusion approach (MFV-DTM), the results not only show a good agreement in floodwater depth, but also simulate more correctly the floodwater dynamics around small urban feature. Overall, the new multi-view approach of combining top-view LiDAR data with ground-view SfM observations shows a good potential for creating an accurate digital terrain map which can be then used as an input for a numerical urban flood model. © 2014 Elsevier Ltd.


Meesuk V.,Hydro and Agro Informatics Institute | Meesuk V.,UNESCO-IHE Institute for Water Education | Vojinovic Z.,UNESCO-IHE Institute for Water Education | Mynett A.E.,Technical University of Delft | Mynett A.E.,UNESCO-IHE Institute for Water Education
ICIAFS 2012 - Proceedings: 2012 IEEE 6th International Conference on Information and Automation for Sustainability | Year: 2012

Using physically based computational models coupled with remote sensing technologies, photogrammetry techniques, and GIS applications are important tools for flood hazard mapping and flood disaster prevention. Also, information processing of massive input data with refined accuracy allows us to develop and to improve urban-flood-modeling at a detailed level. The topographical information from digital surface model (DSM) or digital terrain model (DTM) is essential for flood managers who actually require this high accuracy and resolution of input data to set up their practical applications. Light detecting and ranging (LiDAR) techniques are mainly used, but these costly techniques can be appraised by equipments, maintenance, and operations which include aircraft. Recent advances in photogrammetry and computer vision technologies like structure form motion (SfM) technique are widely used and offer cost-effective approaches to reconstruct 3D-topographical information from simple 2D photos, so-called 3D reconstruction. In terms of input data for flood modeling, the SfM technique can be comparable to other acquisition-techniques. In this paper, there are one experimental and two case studies. Firstly, a result of the experiment showed a similarity between flood maps by applying the SfM process form the 3D-reconstruction and using benchmark information. These 3D-reconstruction processes started from 2D photos, which were taken from virtual scenes by using multidimensional-view approach. These photos can be used to generate 3D information which is later used to create the DSM from multidimensional fusion of views (MFV-DSM). Then, the DSM was used as input data to set up 2D flood modeling. Thereafter, when using the DSMs as topographical input data, comparison between a benchmark DSM and MFV-DSM shows similarity flood-map results in both flood depths and flood extends. Secondary, the two cases from real world scenes also showed possibilities of using the SfM technique as an alternative acquisition tool, providing 3D information. This information can be used as input data for setting up modeling and can possibly be comparable or even outcompete with other acquisition techniques, such as LiDAR. As a result, using the SfM technique can be extended to become promising methods in practicable applications for modeling real flood events in real world scenes. © 2012 IEEE.

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