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Item type:Publication, A statistical assessment of the impact of land uses on surface water quality indexes(2012-06-30)Seeboonruang, UmaThe release of wastewater from various land uses is threatening the quality of surface water. Different land uses pose varying degrees of danger to water resources. The hazardous extent of each activity depends on the amount and characteristics of the wastewater. The concept of the contamination potential index (CPI) of an activity is introduced and applied here. The index depends on the quantity of wastewater from a single source and on various chemicals in the waste whose concentrations are above allowable standards. The CPI concept and the land use impact assessment are applied to the surface water conditions in Nakhon Nayok Province in the central region of Thailand. The land uses considered in this study are residential area, industrial zone, in-season and off-season rice farming, and swine and poultry livestock. Multiple linear regression analysis determines the impact of the CPIs of these land uses on certain water quality characteristics, i.e., total dissolved solids, electrical conductivity, phosphate, and chloride concentrations, using CPI. s and previous water quality measurements. The models are further verified according to the current CPIs and measured concentrations. The results of the backward and forward modeling show that the land uses that affect water quality are off-season rice farming, raising poultry, and residential activity. They demonstrate that total dissolved solids and conductivity are reasonable parameters to apply in the land use assessment. © 2012 Elsevier Ltd. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An Assessment of saline soil effects on land use activities: A case study in Nakhon Panom Province, Thailand(2010-02-01)Seeboonruang, UmaThe Northeastern Part of Thailand contains wide area of saline affected soil. Among these, Nakhon Panom Province has received a great deal of attention and thus national budgets in order to raise the economic and social conditions. Many reports have stated that various land uses are likely to be declined due to the salinity problem to some certain extent. However, little to none research has been trying to quantify the effects of such the problem on the land use patterns. This study introduces a simple but practical technique to quantitatively relate the degree of salinity to land use densities. The technique utilizes the multiple linear regression technique to relate the basin salinity index with many land use activities, e.g. community and housing, rice farmings, and livestocks. This method is applied on the subdistrict or "amphoe" units in Nakhon Panom. Initially, the densities of various land use activities are computed based on all secondary data. Subsequently, an equation for basin salinity index (BSI) is formulated in order to figure the severity of salinity problem in specific amphoes. Then, simple linear regression is performed between amphoe BSI and land use densities. Finally, multiple linear regression is obtained linking between the BSI and all the densities. BSI = 23.18 - 176.09 × (population density) - 70.96 × (in-season rice farming density) + 8.17 × (off-season rice farming density) + 55.53 × (cow livestock density) + 3.67 × (poultry livestock density) - 16.19 × (swine livestock density) + 0.00 × (catched fish density). It is found that the salinity has a great negative impact on the population density, in-season rice farming, and swine livestock, while it establishes positive influence on off-season rice farming, cow livestock, and poultry livestock.