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ติดประกาศ 31 .. 07@ 06:54:38 ICT โดย admin
Ѵͧ͢ 2005 Ҥ
Ѵ


Ҩҡ http://202.12.97.98/journal/table-en2005.php

Forecasting of Municipal Water Demand in Phitsanulok Municipality Area
Using a Mathematical Model and Geographic Information System

ѡɳ ѹѵ
Եԭ ҢҡèѴ÷ѾҡøҵǴ
Է¹ ɳš

ѳ حҹҾ
ɵʵ ѾҡøҵǴ
Է¹ ɳš

çķ
ɵʵ ѾҡøҵǴ
Է¹ ɳš

Abstract

..................The purposes of this research were to (1) forecast the municipal water demand for residential land use (2) Study factors affecting the municipal water demand in Phitsanulok Municipality area in order to estimate water demand in total municipal area and in each service zone. The study was carried out using Geographic Information System (GIS) to estimate spatial municipal demand. The growth rates obtained from a mathematical model, exponential growth formula, was used in a calculation and subjected to data representation in GIS. The forecasting was done with 5 year interval starting from 1997 to 2017. Result of the total municipal water consumption of residential land use in three years (2000- 2002) showed that the demand for the year 2000 was 7,621,334 m3/year. The demand increased to 8,013,433 m3/year in year 2001 and decreased to 7,786,888 m3/year in year 2002. The average rate of municipal water demand during the year 2000 2002 was 282.22 ? 1.42 liters/head/day. The top three zones ranking from the highest water demand were zone 4, zone 11, and zone 3, respectively. These values are higher than a standard water usage, which is 200 liter/head/day. The water demand for the residential land use has rapidly increased. Factors influencing water demand in municipal area of Phitsanulok that were used in this study were population, economic, social, and land use. It was found that three predicting variables, namely population growth average per household, industrial land, and residential type were statistically significant at ? 0.01. These predictors had the predictability power of 77.8 percent.

An Application of GIS to the Mapping of the Sensitiveness for Groundwater Resource
Contamination in Lower Nam Phong Watershed

Wanphen Buarapa
Department of Computer Science, Faculty of Science
Khon Kaen University, Thailand.

Assoc. Prof. Dr. Charat Mongkolsawat
Center of Geoinformatics for the Development of Northeast Thailand
Computer Center, Khon Kaen University, Thailand

Assoc. Prof. Dr. Kreingsak Srisuk
Faculty of Technology
Khon Kaen University, Thailand

Assist. Prof. Dr. Vichai Sriboonlue
Department of Agricultural Engineering
Faculty of Engineering, Khon Kaen University, Thailand

Abstract

..................The objectives of this study were to develop the techniques for groundwater vulnerability mapping by using integrated parameters, also to determine the changes in groundwater vulnerability between the dry and wet seasons. The study area, the Lower Nam Phong Watershed, covers an area of about 3,167 km2 and is located in Northeast Thailand. Due to contamination of groundwater in this area, it is therefore necessary to evaluate an environmental impact on surface and subsurface. The sources of contamination include communities, agriculture, industrial plants and gasoline stations. Variation in severity of the contamination source requires an integration of spatial data for evaluation. A DRASTIC_ext model is used to evaluate the groundwater vulnerability. A sets of factors as identified in the DRASTIC_ext were studied and reviewed. These include depth to water table (D), net recharge (R), aquifer (A), soil (S), slope (T), impact of vadose zone (I), vertical hydraulic conductivity of aquitard (VC) and hydraulic conductivity of aquifer (C). Each factor, which consists of a set of logically related geographic features and attributes is used as data input for this analysis. The factor layers were collected from the existing information. The statistics of water level were analyzed to generate digital water level model which gave D-factor. Spatial R-factor was formulated using a combination of slope, rainfall, land use and soil permeability. A-factor was implied from hydrogeologic units which provide aquifer layers. S-factor layer was generated from LLD map. T-factor was interpolated from elevation contour which was used to create the slope. Regrouping of soil types provided the impact of vadose zone (I-factor). VC- factor are based on experimental result. And C-factor, spatial hydraulic conductivity values are based on the experimental results for each geologic unit. Each of the above mentioned DRASTIC_ext factor with associated attribute data was digitally encoded in a GIS database to eventually create eight thematic layers. Simultaneous overlay operation on these eight layers produced a resultant polygonal layer. DRASTIC_ext model calculation with assigned weight to each factor applies to the resultant polygonal layer gave values of groundwater vulnerability. These are then classified in five classes : of lowest (<100), low (100-130), moderate (130-160), high (160-190) and highest (>190). The high and moderate classes of groundwater vulnerability located on recharge areas with sand and gravel aquifer. The ground water vulnerability represents about 11.41% for seasonal change while the majority of area remain unchanged(88.59%). The potential source of prediction error of the model is in assigning factor values. Further study should be carried out in detail for each factor of high potential area. Inconclusion using GIS technology can access systematic thematic data in dynamic manner for modeling analysis

Application of remote sensing technology and geographic information system to allocate
the flood hazard areas in the Upper Eastern Area of Southern Thailand.
(Chumphon, Surat Thani and Nakhon Si Thammarat Province)

Phiraphit Phutmongkhon
Suchada Yongsatisak
Anan Khampeera
Southern Regional Geo-Informatics and Space Technology Center
Prince of Songkla University.

Assist.Prof.Dr.Chao Yongchalermchai
Faculty of Natural Resources,Prince of Songkla university.

Nattaya Jungcharoentham
Ratana Tongyoi
Faculty of Environmetal Management
Prince of Songkla university. Hat Yai, Songkhla 90110

Abstract

..................This study has been conducted to investigate the Upper Eastern Area of Southern Thailand which are highly susceptible to flooding by using remote sensing and geographic information system. The research was done by using weighting and ranking methods, together with a scoring according to the importance of the geographical factors affecting the probability of flooding. These factors are the amount of rainfall, basin area, density of drainage, slope of basin, slope of main streams, land use, soil texture and soil depth. It was found that in Chumpon, 167,081 rais are high flood hazard area, 146,175 rais are moderate flood hazard area and 3,838 rais are low flood hazard area. As for Surat Thani province, 685,781, 186,125 and 15,306 rais respectively faced high, moderate and low flood hazards. In Nakhon Si Thammarat, 1,483,988, 412,213 and 67,944 rais respectively got high, moderate and low flood hazards. To reduce property damage, dangers to people and to prevent floods, Geographic Information System and Remote Sensing have been used as a tool for hazardous flood area management. These methods have also been used in conjunction with traditional methods such as conserving forest in high areas, using irrigation systems such as erecting dams and weirs, changing drainage, giving information to people and using applicable laws.

Key words : flood hazard area, geographic information system, remote sensing

Application of remote sensing and geographic information system to allocate
flood risk area in Lower Tapi Basin, Surat Thani Province

Assist. Prof. Dr. Chao Yongchalermchai
Faculty of Natural Resources, Prince of Songkla University
Hat Yai District, Songkhla 90112.

Suchada Yongsatitsak
Anan Kampeera
Southern Regional Geo-Informatics and Space Technology Center
Prince of Songkla University, Hat Yai District, Songkhla 90112

Abstract

..................The Lower Tapi Basin has been frequently affected by flooding that resulted in loss of life, property and economic of country. In this study, satellite imagery of Landsat-7 ETM+ and geographic information system were used to allocate flood hazard area and flood risk area in lower Tapi Basin. Flood area was delineated by weighting technique and ranking of factors of data layers according to their expected importance to each other in causing flooding such as amount of rainfall, Basin area, slope area, slope of main stream, stream density, land use, soil texture, soil depth and road. It was found that 15.7, 5.38 and 0.4 percent of Tapi Basins total land area respectively faced high, moderate and low flood hazards. Further analysis revealed that 4.76, 5.07 and 11.64 percent of the total land area respectively were subject to high, moderate and low flood risks. Flood hazard and risk maps are important to be able to identify locations where flood disaster are most likely to occur which is one of the non structural measures to prevent and reduce the flood damages. The application of remote sensing and geographic information system can be used as a tool for effective disaster area management.

Keywords : Satellite imagery, Geographic Information System, Flood risk area

Application of Forest Monitoring in National Conservation Forest Using Geo-Informatics Technology Case Study: The Left Bank of Huai Tong Waet Forest, Ubon Ratchathani Province.

Supapit Polngam
Siam Lawawirojwong

GISTDA

Abstract

..................The left bank of Huai Tong Weat National Conservation Forest in Ubon Ratchathani Province, northeastern part of Thailand covers an area of 15,345 rai, and was designated as a land reform area. However, some doubt exists whether such area was a depleted forest or is still a production forest. Therefore, the Thai government designated the relevant agencies including the Agriculture Land Reform Office, the Royal Forest Department and Geo-Informatics and Space Technology Development Agency (GISTDA) to use satellite imagery to check if such is the case. LANDSAT 5 TM Imagery of 1993 and LANDSAT 7 ETM+ Imagery of 2003 were used to study change of forest land during the 10 year period. This paper describes a selected site where results showed a decrease of more than 37% during this period. Some socio-economic analysis of such change is also presented.

Estimation of Rainfed Rice Yield using RADARSAT: Nakhon Nayok case study.

Dr. Surachai Ratanasempong
Supapit Polngam
Dr. Somjert Prathummin

Department of Agriculture

Abstract

..................Using Remote Sensing, Geographic Information System, and Global Positioning System are to accurately determine rice area. For several time critical application, optical sensors, such as LANDSAT or IRS-LISS III, cannot always provide the desired information which were covered cloud in rain season, however RADARSAT imagery are effective because radar wavelengths can penetrate through cloud, haze and rain. To take advantage of the radar data, multi-temporal RADARSAT C-HH imagery were applied to extract information on rainfed rice area.
..................The test sites in this study was Nakhon Nayok province. The purpose is to apply RADARSAT imagery and geo-informatics data to monitor rainfed rice area, and to estimate rice yield by GIS modelling. The procedure of RADARSAT imagery preprocessing include data input, image enhancement, image geometric correction, speckle noise filtering and image mosaic. The rainfed rice areas are derived from multi-temporal data using visual interpretation. For this analysis, optimal time for data acquisition during rainfed rice area period needed to be identified. Then, both field survey and rice production simulation model were employed to estimate rice yield.
..................This paper deals with the results obtained from this research, the total rainfed rice area in 2003 of Nakhon Nayok province had 629,300 rai (100,688 hectares). The accurate of image interpretation was 82 percent accurate. The results of rice yield estimation by field survey were 449 yield/rai; using model found 366 yield/rai. The total rice yield by using field survey found that 282,556 metrics ton; using model found that 230,033 metrics ton.

Risk Zoning on Resource System impacts from the Land Use, Narathiwat Province.

Nattaya Jungcharoentham
Phiraphit Phutmongkhon
Suchada Yongchatidsak
Adul Bennui
Ratana Thongyoi
Anan Khamphira

Faculty of Environmental Management Prince of Songkla University

Abstract

..................Objectives: Geographic Information System (GIS) is efficient tools for analysis, zoning, and mapping the risk area on resource system impacts from the land use in Narathiwat Province. The overlay technique, the weighing, and the scoring were applied for the soil, slope of soil, forest, wildlife, water, and watershed, respectively.
..................Analysis and Design : 62% of the total area of Narathiwat Province (1,735,146 rai) can be categorized as low and lower impact on the resource system. The majority were plain and utilized for agriculture. 38% of the total area can be categorized as medium, high, and highest impact. The majority were high and steep slope. Some were in conservation forest zones which were inappropriate for crops.
..................Method : The overlay technique were applied for the land use information. To set up the hypothesis that if there were land use in the medium, high, and highest impact areas. It means that areas were the risk areas on resource system impact from land use.
..................Results and Conclusion : The risk areas were in medium, high, and highest were 228,409, 138,937, and 89,342 rai. These represented 50%, 30%, and 20%, respectively. The results showed that the risk zone utilization in Narathiwat Province. It can be used as the information for planning the monitoring or preventation plan for the local, provincial and center agencies.

Keywords : Resource System, Geographic Information System , Landuse

Crop Calendar Determination from Soil Water Model Using Geographic Information System

ѡ
ҢҡèѴ÷ѾҡøҵǴ
ɵʵ ѾҡøҵǴ
Է¹ ɳš

.. çķ
ҤԪҷѾҡøҵǴ
ɵʵ ѾҡøҵǴ
Է¹ ɳš

Abstract

..................The objective of this study was to determine weekly crop calendar for Phitsanulok province using grid analysis with 40* 40 meter grid-size. The crop calendar was based on soil water content that was estimated from a water balance model by using Geographic Information System (GIS). The results showed that an average soil water was 77.7 m3/rai/year. Soil water content was maximized in week 38th which equals to 75.5 m3 /rai/week. Soil water content was accumulated starting from week 18th to week 3rd of the next year. The soil water-based suitable week for cultivating 3 crop types; vegetable, field crop and rice; appeared from week 20th to week 47th (28 week), week 20th to week 45th (25 week), and week 23rd to 42nd (19 week), respectively. However, the suitable areas were decreased when these areas were considered using a combination of soil water content suitability and soil property suitability.



 
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