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ѹ֡ admin ѧ 17 .. 17@ 21:35:29 ICT (366 )
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ѹ֡ admin ѧ 13 .. 12@ 21:23:13 ICT (748 )
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ѹ֡ admin ѧ 13 .. 12@ 21:15:44 ICT (622 )
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Ѵͻ 2006 Ҥ



Assoc. Prof. Dr. Charlchai Tanavud
Assist. Prof. Dr. Chao Yongchalermchai
Faculty of Natural Resources, Prince of Songkla University

Mr. Thudchai Sansen
Department of Environmental Quality Promotion, Ministry of Natural Resources and Environment


..................The present study assessed the amount of soil losses and sediment deposition in Songkla Lake Basin, Southern Thailand. Through the use of the Universal Soil Loss Equation (USLE) model in GIS environment, it was estimated that 22,951,339 tons of soil were lost from the basin in 2002, representing an average soil loss of 30.9 t ha-1 y-1. Further analyses revealed that 324,020, or 43.6 % of the basin's land area, were subjected to a very slight rate of soil erosion. The results also showed that 4.4 % of the land area, equivalent to 32,809 hectares, was subjected to a severe rate of soil erosion. Most of the severely eroded land was found on the mountain terrain to the west and south of the basin. The total sediment discharged into the lake systems in 2002 was estimated to be 6,885,402 tons; an average of 813.6 t km-2 of the basin, which would give a sedimentation rate of approximately 0.44 cm y-1. As a substantial proportion of the lake sediments could pass through a narrow outlet on the south of Thale Sap Songkla to the sea, the actual rate of sedimentation in the lakes could be lower. Conservation-effective measures to control soil erosion are discussed.

Key words : soil erosion, sediment deposition, Universal Soil Loss Equation, remote sensing, Geographic Information Systems.


ѹ֡ admin ҷԵ 01 .. 07@ 06:06:33 ICT (3645 )
(յ... | 24029 亵 | ʴ? | ṹ: 4)

Ѵͧ͢ 2005 Ҥ


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

ɵʵ ѾҡøҵǴ
Է¹ ɳš


..................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.


ѹ֡ admin 31 .. 07@ 06:54:38 ICT (2748 )
(յ... | 18954 亵 | ʴ? | ṹ: 0)

Ѵͧ͢ 2004 Ҥ


Land Use Patterns and Landslide Hazard in Pak Phanang Basin

Assoc. Prof. Dr. Charlchai Tanavud
Faculty of Natural Resources,
Prince of Songkla University, Thailand.

Abdollah Bennui
Research and Development Office,
Prince of Songkla University, Thailand


..............Information derived from satellite imagery revealed that there was appreciable deforestation in the headwater source areas in Pak Phanange Basin. Indeed, it was found that 2,293 hectares of the headwater areas lost converted to rubber plantation and mixed orchards. This misuse of land resources could contribute to the occurrence of natural disasters, particularly landslides. With the use of the Geographic Information Systems (GIS), it was estimated that, of the basin's total land areas, 8,085.00, 24,370.00 and 278,062.00 hectares, respectively, were subjected to high, moderate and low landslide hazards. Areas subject to high hazards are mostly found on mountain ranges in the west of the basin in Lansaka and Ronpibun districts. Land use patterns which have contributed to the occurrence of landslides are continuing and, if unmodified, will further increase hazard and vulnerability levels. Measures to decrease landslide hazard and reduce vulnerability of element at risk are discussed.


ѹ֡ admin 31 .. 07@ 06:02:21 ICT (3087 )
(յ... | 13640 亵 | ʴ? | ṹ: 4)

ҹԨ ʷ.շ7 Ѻ 3(2)

ûԹ¹ŧҾǴdz½觷ѧѴոҪ Ҿ´кʹʵ

Assessing coastal environmental changes in Nakorn Si Thammarat Province using remote sensing and GIS


ҭ ز

ǹ §



. Ҵ˭ . ʧ 90112


This study aimed to assess coastal environment changes in Nakhon Si Thammarat Province, southern Thailand, using aerial photographs and land satellite images and Geographic Information Systems (GIS). To define changes in coastal land use, 1966/67, 1990 and 2004 land uses were visually interpreted from aerial photographs and Landsat-5 Thematic Mapper (TM) image maps. Results revealed that between 1990 and 2004, the areas devoted to paddy field, nipa palm, marshland and mangrove forests decreased by 6,834 ha, 1,141 ha, 525 ha and 315 ha respectively due to an increase in the land devoted to shrimp farms, which increased from 3,065 ha in 1990 to 12,375 ha in 2004. The rapid expansion of shrimp farm areas along the coastal shores perturbed the coastal environment primarily through the deterioration of soil and water quality and problems of coastal erosion. These processes together with the loss of livelihoods for coastal inhabitants have led to a decline in the quality of life for the coastal population. Management recommendation which would prevent and mitigate environmental

consequences of coastal land use changes are discussed.

Key words: land use changes, shrimp farming, coastal erosion, remote sensing, Geographic Information System


ѹ֡ admin ҷԵ 25 .. 07@ 13:47:29 ICT (6793 )
(յ... | 33221 亵 | ʴ? | ṹ: 3.33)

ҹԨ ʷ.շ7 Ѻ 3(1)

èѴἹҪŹ ҪҴ ǪҴdz½觷ѹѹͧ
Mangrove, Beach Forest, and Shoreline Mapping along the Andaman Sea Southern Thailand

طȹ Ѳ

Ҿ ŧ
ѭѵ ͹ѹ
ҷ شѹ
ط ⾸Ҫ
Ǵ ԾҹԪ ѡɳ Ҥ

Following the Tsunami event in 2004, the disaster severely affected to human, properties, including natural resources and environment as well, along the Andaman Sea of Thailand. The mangrove, beach forest and shoreline have been critically deteriorated in 6 provinces along the Andaman Sea coast. As results, Remote Sensing technology has been used in these cases. The technology has been integrated in GIS data and field survey data with GPS on the monitoring of pre and post of the mangrove, beach forest and shoreline. Then, the outputs of these were composed and made the 1:25,000 scale map.
The results indicated that the mangrove forest in Phang-Nga province has mostly been decreased at Lam Kaen sub-district, Thai Muaeng district, and moderately affected area in Tha Phae district, Satun province, which the mangrove forest was replaced by agricultural area, such as shrimp farm, which the area of approximately 1,239 and 839 rai, respectively. The beach forest has been less severely affected because the physical charac-teristics of this area were consisted of a casualina tree. However, beach forest in King Amphoe Suk Samran district, Ranong province, has been mostly decreased, and the moderately affected area in Takua Pa, Phang-Nga province, with the area of approximately 22 and 16 rai, respectively. Besides, the shorelines which have mostly affected were found in Khura Buri district, Phang-Nga province, the moderately
affected area in Kapoe district, Ranong province, with the area of approximately 2,264 and 2,077 rai, respectively.
In addition, the results of these were made the 1:25,000 scale map, totally 214 sheets. So, these maps are useful for the relevant agencies which being led to decision-making, management, and rehabilitations.

ѧҡ˵ءóֹͻ» 2547 ҧԵзѾԹ繨ӹǹҡ 駷ѾҡøҵǴ㹺dzǪ½觷ѹѹͧ 鹷ҪŹ ҪҴ ǪҴ ա鹷˹觷Ѻ¨ҡ˵ءó駹 ѧ ෤աǨźóҡѺкʹʵ (GIS) ʹŷҡǨҤʹ ͧ˹˹觺š (GPS) ͵Դ¹ŧ鹷ҪŹ ҪҴ ǪҴ 駡͹ѧʺ¤ֹ йҨѴἹ ҵǹ 1: 25,000
šôԹҹ 鹷ҪŹͧѧѴѧŴŧҡش Դͷҳ 1,239 ҡdzӺ ͷͧ ͧŧ ѧѴʵ Դͷҳ 839 dzͷ ǹ˭Դҡúءء鹷͡ ɵ ҡ ǹ鹷ҪҴ Ѻҡѡ ͧҡѡɳзҧҾͧҪҴʹ 觨ѧѴվ鹷ҪҴŴŧҡش ѧѴйͧ Դ ͷҳ 22 ҡdzآҭ ͧŧ ѧѴѧ Դͷҳ 16 ҡdz͵Сǻ ǪҴѺҡش dzѧѴѧ Դͷҳ 2,264 ҡdzͤк ͧŧҤ ѧѴйͧ Դͷҳ 2,077 dz͡
ҡ ӢŢҧҨѴἹҪŹ ҪҴ ǪҴ 駡͹ѧʺ¤ ֹ ӹǹ 214 ҧ ˹§ҹǢͧ ö繢ŻСͺ㹡õѴԹ㨵ʹú Ѵ ҧἹп鹿پ鹷


ѹ֡ admin ʺ 08 .. 07@ 15:40:28 ICT (5198 )
(յ... | 5958 亵 | ʴ? | ṹ: 3.33)