ESTIMATION OF SOIL LOSS RATE IN PHETCHABURI WATERSHED AREA WITH GEO-INFORMATION TECHNOLOGY

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Anuwat Kochawan
Narong Pleerux
Prin Lorpittayakorn
Anukul Buranapratheprat

Abstract

The purpose of this research was to estimate soil loss rates in the Phetchaburi River Basin using universal soil loss equations and geospatial technology covering 2 seasons: the rainy season from May to October 2021 and the winter season from November 2021. 2021 to January 2022. The factors used to estimate the soil loss rate are Rain erosion (R-Factor), Soil persistence (K-Factor), Slope length (L-Factor), Slope (S-Factor), Vegetation management (C-Factor), and Soil conservation measures and Water (P-Factor) The results of the study showed that The Phetchaburi River Basin during the rainy season has soil loss rates of 0 – 749.11 tones/ha, while in the winter seasons the soil loss rates are 0 – 93.80 tones/ha. When considering the area with high soil loss, it was found that it was located in the area with high slope. And is a deciduous forest which will drop the leaves during the dry season when there is no rain Therefore, when it rains, there is a lack of shrubs to support the impact of raindrops, causing soil loss in the area

Article Details

How to Cite
Kochawan, A. ., Pleerux, N. ., Lorpittayakorn , P. ., & Buranapratheprat, A. . (2023). ESTIMATION OF SOIL LOSS RATE IN PHETCHABURI WATERSHED AREA WITH GEO-INFORMATION TECHNOLOGY. HUSO Journal of Humanities and Social Sciences, 7(1), 161–175. retrieved from https://so06.tci-thaijo.org/index.php/husojournalpnru/article/view/265966
Section
บทความวิจัย (Research Article)

References

Busaraporn Chutaptim, Somjate Thinnakorn, Chavalee Cherkit . (2005) Soil Erosion Assessment in Bang Saphan Watershed. Prachuap Khiri Khan Province (Research report). Royal Irrigation Department:Bangkok.

Chakchai Chumchit. (1999) Application of Geographic Information System and the International Soil Loss Equation to Determine Chuan Watershed Quality Classification. Mahidol University/Bangkok.

Department of Land Development. (2000). Soil erosion in Thailand. Bangkok: Land Development Department

Department of Land Development. (2002). Evaluation of soil loss in Thailand. Bangkok: Land Development Department

Department of Land Development. (2020). Status of soil erosion in Thailand. Bangkok: Land Development Department

FAO and ITPS. (2015). Status of the world’s soil resources (SWSR) – Technical Summary. Food and Agriculture Organization of the United Nations and Intergovernmental Technical Panel on Soils, Rome, Italy.

Gebreyesus Brhane and Kirubel Mekonen. (2009). Estimating Soil Loss Using Universal Soil Loss Equation (USLE) forSoil Conservation planning at Medego Watershed, Northern Ethiopia. The Journal of American Science, Volume 5 - Number 1 (Cumulated No. 16), January 1, 2009, 85-69

Hydro – Informatics Institute (Public Organization) (2012). Required Bangkok: Apply for Asde Construction Corporation Co., Ltd.

Kang-tsung Chang. (2002) Introduction to Geographic Information Systems. Singapore: McGraw-Hill,

Lillesand, Thomas M.; Kiefer, Ralph W.; & Chipman, Jonathan W. (2004). Remote Sensing and Image Interpretation. 5th ed. New York: Wiley.

Niphon Tangtham. (2002). A mathematical model of soil erosion. and sediment pollution in watershed areas. Kasetsart University Bangkhen Campus, Faculty of Forestry, Department of Conservation.

Nitiphat Nuanmano. (2013). Erosion of soil on Kho Hong Mountain and economic loss value, Hat Yai District, Songkhla Province. (Master's thesis). Songkhla: Prince of Songkhla University.

Wischmeier, W.H.and Smith,D..Z (1978). Predicting Rainfall Erosion Losses a Guide to Conservation Planning, Agriculture Handbook No.282, USDA, Washington, DC.

Prakkha Kodsub. (1995). Application of geographic information system and universal soil loss equation in soil erosion assessment for soil and water conservation planning. Mueang Nan District and Wiangsa District, Nan Province (Master's thesis). Bangkok: Mahidol University. Retrieved from https://tdc.thailis.or.th/tdc/

Rachadapan Pholkoed & Weeraphart Khunrattanasiri. (2012). Application of remote sensing and geographic information system for soil erosion assessment in Huai Nam Rit watershed, Uttaradit province. Journal of Forest Management (Thailand), 6(12), 83-84.

Saowaluk Sathongthian. (2016). Application of Geographic Information System and International Soil Loss Equation to assess soil erosion Khwae Noi River Basin Phitsanulok Province Department of Geography. Naresuan University

Sawet Prakairungrasamee, Wichai Pantanahiran and Charlie Nawanukroh. (2011). Soil erosion analysis. The universal soil loss equation (USLE) was used to estimate plant nutrient losses in the Huai Mae Prachan watershed. Social Science Journal Srinakharinwirot University, 14(2011), 92-103

Sombat Yu-Muang. (2015). Geographic Information System. Geo-Informatics Research Center for Thailand, Department of Geology, Faculty of Science Chulalongkorn University Retrieved from http://www.gisthai.org/index.html

Teerawat Kamolrat, Supetch Chirakajonkul. (2012). Comparative Mapping of Geo-Informatics Technology and Erosion Assessment for Land Erosion by Lamphraploeng Upper Nakhon Ratchasima Province. Technology Database, 20(2), 167-177.