Seeboonruang, Uma

Preferred name

Seeboonruang, Uma

Alternative Name

Seeboonruang, U.

Main Affiliation

School of Engineering

uma.se@kmitl.ac.th

Now showing 1 - 8 of 8

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Assessment of social impacts of a reservoir on a saline soil area in northeast thailand
(2013-01-28)
Sirkaew, Uba
;
Seeboonruang, Uma
Although useful in flood prevention and as the source of water for irrigation and consumption, reservoirs could nevertheless not merely create negative social impacts for those living near them but also wreak havoc on the environment following their construction. These environmental and social impacts should be addressed especially in the Northeastern part of Thailand where their history revolving in salt mines and traditional salt production. The attitude questionnaires were used in this study to assess the impacts of a reservoir operation in a saline soil area on the social changes in 8 aspects. It was found, based on more than 160 replied questionnaires, that even if most respondents saw that the reservoir improved their standard of living in several aspects, a number of the respondents expressed concerns that their traditional way of life and ancient salt production method were disappearing. These people did express their concerns for their own safety, their worries about their community future, and hopes for better future of their own and that of their children. © (2013) Trans Tech Publications, Switzerland.
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PSO based adaptive force controller for 6 DOF robot manipulators
(2017-01-01)
Thunyajarern, Sutthipong
;
Seeboonruang, Uma
;
Kaitwanidvilai, Somyot
Force control in robot arm has been used in many industrial applications especially end-effector contacting with environment. When environment is change, the performance of non-adaptive controller may be decreased. This paper presents adaptive force controller for 6 DOF (degree of freedom) Robot Manipulators that do not require identifying the environment before controlling. Particle swarm optimization (PSO) has been employed to solve this problem. In simulation, the end-effector was moved and touched different environments. The simulation results were compared with typical non-adaptive control. The result shows that when the environment is changed, the performance of non-adaptive force controller decreased. On the other hand, the performance of PSO based adaptive force controller remained the same.
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Comparing watershed soil erosion of Taiwan and Thailand
(2018-08-14)
Liu, Yi Hsin
;
Anh Nguyen, Kieu
;
Chen, Walter
;
Wattanasetpong, Jatuwat
;
Seeboonruang, Uma
Tropical watersheds in Taiwan and Thailand face the same severe soil erosion problem that is increasing at an alarming rate. In order to evaluate the severity of soil erosion, we quantitatively investigate the issue using a common soil erosion model (Universal Soil Loss Equation, USLE) on the Shihmen reservoir watershed of Taiwan and the Lam Phra Ploeng basin of Thailand, and compare their respective erosion factors. The results show an interesting contrast between the two watersheds. Some of the factors (rainfall factor, slope-steepness factor) are higher in the Shihmen reservoir watershed, while others (soil erodibility factor, cover and management factor) are higher in the Lam Phra Ploeng basin. The net result is that these factors cancel each other out, and the amount of soil erosion of the two watersheds are very similar at 68.03 t/ha/yr and 67.57 t/ha/yr, respectively.
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Assessment of land cover on soil erosion in Lam Phra Phloeng watershed by USLE model
(2018-08-14)
Wattanasetpong, Jatuwat
;
Seeboonruang, Uma
;
Sirikaew, Uba
;
Chen, Walter
Soil loss due to surface erosion has been a global problem not just for developing countries but also for developed countries. One of the factors that have greatest impact on soil erosion is land cover. The purpose of this study is to estimate the long-term average annual soil erosion in the Lam Phra Phloeng watershed, Nakhon Ratchasima, Thailand with different source of land cover by using the Universal Soil Loss Equation (USLE) and GIS (30 m grid cells) to calculate the six erosion factors (R, K, L, S, C, and P) of USLE. Land use data are from Land Development Department (LDD) and ESA Climate Change Initiative (ESA/CCI) in 2015. The result of this study show that mean soil erosion by using land cover from ESA/CCI is less than LDD (29.16 and 64.29 ton/ha/year respectively) because soil erosion mostly occurred in the agricultural field and LDD is a local department that survey land use in Thailand thus land cover data from this department have more details than ESA/CCI.
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Effect of Climate Change on Groundwater Age of Thailand's Lower Chao Phraya Basin
(2019-10-25)
Tanachaichoksirikun, Pinit
;
Seeboonruang, Uma
Water is indispensable for life, including, groundwater that the largest fresh water source. Groundwater sustainability is threatened by many factors, one is climate change which lead to flood and drought. Groundwater age is an indicator that can be applied for vulnerability assessment and sustainable groundwater management. This research focus on the changing of groundwater age under the effect of climate change using the steady-state three-dimensional mathematical simulation including, MODFLOW-2000 and MODPATH. In addition, the climate scenario including, IPSL-CM5A-MR that consist the increasing of carbon dioxide (Representative Concentration Pathways; RCP) between 2.6, 4.5 and 8.5 in the period 2017-2036. The results revealed groundwater age was highly distributed between 140 to 177,505 years with the average 18,665 years due to the distribution of groundwater recharge and pumping in the basin. In addition, the average groundwater age with RCP 2.6, 4.5 and 8.5 were decreased to 17,217, 15,960, 16,286 years from base case (18,665 years), respectively. Because the quantity of rainfall which contribute the hydraulic head, hydraulic gradient and velocity was changed. In conclusion, the groundwater sustainability in the Lower Chao Phraya basin was consistent during this period because the groundwater age was decreased by rainfall. However, the old groundwater, non-renewable groundwater could be conservative due to the distribution of groundwater age was increased.
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Impact of climate change on the groundwater sustainability in the lower Chao Phraya basin, Thailand
(2018-08-14)
Tanachaichoksirikun, Pinit
;
Seeboonruang, Uma
;
Saraphirom, Phayom
This research investigates the impact of climate change on the hydraulic heads of Thailand's Lower Chao Phraya basin. The research also determines the sustainability of groundwater as the result from climate change. In the study, the climatic scenario (IPSL-CM5A-MR) of the Representative Concentration Pathways (RCP) between 2.6, 4.5 and 8.5 were considered, and the simulations were carried out using the three-dimensional groundwater flow model (i.e. MODFLOW-2000) predicting the groundwater behavior between 2017 and 2036. The findings revealed that the impact of climate change on the hydraulic head fluctuation was positively correlated. Specifically, under the IPSL-CM5A-MR RCP 4.5 that has the highest average precipitation, the average hydraulic head increased. In conclusion, the sustainability of groundwater in the Lower Chao Phraya basin was sufficient during the simulated time. However, the groundwater budget was lower than the average groundwater budget during 2009 - 2014 indicating, the groundwater storage was continuously decreased. Specifically, the 2nd, and 3rd (Phra Pradeang and Nakorn Luang) aquifers may be facing the groundwater shortage in the future.
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Cluster and regression analysis for predicting salinity in groundwater
(2018-08-14)
Aphiphan, Phiraphat
;
Seeboonruang, Uma
;
Kaitwanidvilai, Somyot
Groundwater salinity is a major problem particularly in the northeastern region of Thailand. Saline groundwater can cause widespread saline soil problem resulting in reducing agricultural productivity as in the Lower Nam Kam River Basin. In order to better manage the salinity problem, it is important to be able to predict the groundwater salinity. The objective of this research was to create a cluster-regression model for predicting the groundwater salinity. The indicator of groundwater salinity in this study was electrical conductivity because it was simple to measure in field. Ninety-eight parameters were measured including precipitation, surface water levels, groundwater levels and electrical conductivity. In this study, the highest groundwater salinity at 3 wells was predicted using the combined cluster and multiple linear regression analysis. Cross correlation and cluster analysis were applied in order to reduce the number of parameters to effectively predict the quality. After the parameter selection, multiple linear regression was applied and the modeling results obtained were R2 of 0.888, 0.918, and 0.692, respectively. This linear regression model technique can be applied elsewhere in the similar situation.
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A Multiple Regression Analysis for Predicting Salinity in Shallow Groundwater
(2017-01-01)
Seeboonruang, Uma
Groundwater salinity is a severe problem particularly to agricultural lands. Measuring the water quality index at some particular locations might not be easy. The objective of this research is hence to predict the groundwater salinity, in terms of electrical conductivity (EC) in the shallow groundwater in the Northeast of Thailand. Groundwater EC was measured for the period of over 2 years at 14 different locations at different time intervals. The data was interpolated and analyzed for basic statistical properties including autocorrelation and stationarity. Linear regression model and transformed linear regression models were developed. The two models produced high adjusted R<sup>2</sup> about 0.8 during the calibration step. However, the transformed model provided a better accuracy during the verification step. This variation can be attributed to unaccounted factors, collinearity, and stationarity. The model can be applied to predict the groundwater salinity using the groundwater quality measured at some surrounding region.
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Seeboonruang, Uma

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