A STUDY ON SHALLOW SOIL PROPERTIES AND WATER QUALITIES OF SALINE SOIL AREA IN AMPHOE THATPANOM AND RENU-NAKHON, NAKHON PANOM PROVINCE Uma Seeboonruang,

Slides:



Advertisements
Similar presentations
The Influence of Chemical and Physical Factors on Macrobenthos in the San Francisco Estuary A Stressor Identification Method Aroon R. Melwani and Bruce.
Advertisements

Antony Lenehan.  Site and soil  Effluent quality and quantity  Application systems- above ground or below ground  Crop/vegetation selection and.
INTRODUCTION Session 1 – 2
STABILITY ANALYSIS IN PRESENCE OF WATER Pore pressures Rainfall Steady state flow and transient flow.
Monitoring soil mineral nitrogen concentration in Germany: Preliminary results and some methodical challenges P. Schweigert* and R.R. van der Ploeg Institute.
The Hydrosphere Part II- Ocean & Freshwater Resources.
Probabilistic & Statistical Techniques Eng. Tamer Eshtawi First Semester Eng. Tamer Eshtawi First Semester
STATISTICS TUTORIAL Applied Research In Organizational Behavior By: Dr. Goli Sadri.
CE 533 Groundwater Flow & Contaminant Transport Introduction and terminology.
HYDRUS_1D Sensitivity Analysis Limin Yang Department of Biological Engineering Sciences Washington State University.
Research Methodology Statistics 2 Maha Omair Teaching Assistant Department of Statistics, College of science King Saud University.
Exercise 1.1 (Problem Statement) Problem Statement: A bed company is considering hiring an advertising firm to stimulate business. The management consults.
Applying Methods for Assessing the Costs and Benefits of CCA 2 nd Regional Training Agenda, 30 September – 4 October 2013 Priyanka Dissanayake- Regional.
Results of forest soil inventory implemented in within the scope of the demonstration project BioSoil Soil stability in ecologically and socially.
Chapter 3: Introductory Linear Regression
Environmental Science Photo Gallery Images by S. Holden and B. Meehan School of Applied Sciences.
Multiple Linear Regression. Purpose To analyze the relationship between a single dependent variable and several independent variables.
Precipitation in North America Figure 9.5. Potential Evapotranspiration Figure 9.6.
1 Multiple Regression A single numerical response variable, Y. Multiple numerical explanatory variables, X 1, X 2,…, X k.
University of Auckland New Zealand Geothermal Group Department of Engineering Science Computer Modelling of Gas and Liquid Tracers in Geothermal Reservoirs.
Panita Wannapiroon, Ph.D.
Modes of Sustainability Definition  In text  In aquifer-storage terms  In water-budget terms  In physical changes at the river (natural side)
National Institute for Public Health and the Environment Experiences in the Assessment of Groundwater Chemical Status in the Netherlands Ton de Nijs, Michiel.
Warm-up Ch.11 Inference for Linear Regression Day 2 1. Which of the following are true statements? I. By the Law of Large Numbers, the mean of a random.
Sarah Brunsvold and Kasey Marley Faculty Mentor: Dr. Zuhdi Aljobeh Department of Civil Engineering Valparaiso University.
Scatter Diagrams scatter plot scatter diagram A scatter plot is a graph that may be used to represent the relationship between two variables. Also referred.
Judit Mádl-Szőnyi 1 and József Tóth GSA Annual Meeting From Volcanoes to Vineyards: Living with Dynamic Landscapes T 25 Groundwater in Ecosystems.
Lesson 14 - R Chapter 14 Review. Objectives Summarize the chapter Define the vocabulary used Complete all objectives Successfully answer any of the review.
Linear Correlation (12.5) In the regression analysis that we have considered so far, we assume that x is a controlled independent variable and Y is an.
Chapter 11: Linear Regression and Correlation Regression analysis is a statistical tool that utilizes the relation between two or more quantitative variables.
Chapter 5: Introductory Linear Regression
SITE INVESTIGATION.
BPA CSUB Prof. Yong Choi. Midwest Distribution 1. Create scatter plot Find out whether there is a linear relationship pattern or not Easy and simple using.
REGRESSION MODELS OF BEST FIT Assess the fit of a function model for bivariate (2 variables) data by plotting and analyzing residuals.
Hypothesis Testing Example 3: Test the hypothesis that the average content of containers of a particular lubricant is 10 litters if the contents of random.
 Water Quality Variability in a Bioswell and Concrete Drainage Pipe, Southwest Lincoln, Nebraska Jessica Shortino, B.S. University of Nebraska-Lincoln.
Introduction Many problems in Engineering, Management, Health Sciences and other Sciences involve exploring the relationships between two or more variables.
Soil wetting patterns under porous clay pipe subsurface irrigation A. A. Siyal 1 and T. H. Skaggs 2 1 Sindh Agriculture University, Tandojam, Sindh, Pakistan.
The 5th Maghreb Conference on Desalination and Water Treatment 2015
Chapter 4 Basic Estimation Techniques
CONTINUOUS GRAVITY DECANTER
Predicting Salinity in the Chesapeake Bay Using Neural Networks
Basic Estimation Techniques
Kin 304 Regression Linear Regression Least Sum of Squares
Correlation and Regression
BPK 304W Regression Linear Regression Least Sum of Squares
Where in the World is the Water?
1) A residual: a) is the amount of variation explained by the LSRL of y on x b) is how much an observed y-value differs from a predicted y-value c) predicts.
Basic Estimation Techniques
Analysis of influencing factors on Budyko parameter and the application of Budyko framework in future runoff change projection EGU Weiguang Wang.
Susceptibility Assessment for Public Water Supply sources
Multiple Regression A curvilinear relationship between one variable and the values of two or more other independent variables. Y = intercept + (slope1.
Unit 4: Water Systems on Earth Water (Video)
GEOTECHNICAL ENGINEERING – I B.E. IVTH SEMESTER
الاختبارات المعمليه للتربه
Relative volume of the ocean and Earth.
STEM Fair Graphs.
Groundwater.
Ch 11 Water Page 289.
Groundwater/Wells, Springs & Geysers
EQUATION 4.1 Relationship Between One Dependent and One Independent Variable: Simple Regression Analysis.
Relationship Between NO3 and Salinity:
The Location & Movement of Water on Earth’s Surface
Exercise 1.1 (Problem Statement)
Cases. Simple Regression Linear Multiple Regression.
Exercise 1.1 (Problem Statement)
Chapter 14 Multiple Regression
Hydrogen Production by Microwave Pyrolysis of Glycerol
First authors1, Co-authors2, Corresponding author3
Water Resources Current Weather Finish Weather
Presentation transcript:

A STUDY ON SHALLOW SOIL PROPERTIES AND WATER QUALITIES OF SALINE SOIL AREA IN AMPHOE THATPANOM AND RENU-NAKHON, NAKHON PANOM PROVINCE Uma Seeboonruang, KMITL

Problem Statement

Project Objectives Indicate t he salinity distribution both in soil and surface water. Indicate t he salinity distribution both in soil and surface water. Establish the relationship between soil salinity and other soil and groundwater properties. Establish the relationship between soil salinity and other soil and groundwater properties.

Study Area

Methodology Data Collection Profile Soil Sampling Surface & Ground Water Sampling Sampling Location Determinations

Soil Experiments In-situ measurement Physical Properties Chemical Properties Chemical Properties Simple & Multiple Linear Regression Salinity Prediction Model

Results : Soil Salinity Below 138 m.msl. Din DamPak BangKok SawangPimanKhon KongW. Sawang

Above 138 m.msl. Dong Ma Eak Bo Dok SornPra Song Noi Nam Bo Chan TaDong Ma Eak

Results : Groundwater Salinity

Results: Surface water salinity

Analysis: Simple Linear Regression

Analysis: Multiple Linear Regression Independent Parameters Soil specific gravity Groundwater TDS Liquid limit Water content Relative depth #200 passing Dependent Parameter Soil TDS

Soil TDS = GS LL Rel. Depth GW TDS Salinity = TDS

Summary Soil salinity is found in the area located above the 138 m.msl. and none is found in the area below the contour line. Soil salinity is found in the area located above the 138 m.msl. and none is found in the area below the contour line. Highest salinity is found at Bo Dok Sorn and Pra Song Noi. Highest salinity is found at Bo Dok Sorn and Pra Song Noi. Salinity is found in the surface water nearby Dong Ma Eak, but little in the soil and groundawter. Salinity is found in the surface water nearby Dong Ma Eak, but little in the soil and groundawter.

Summary (continued) No apparent relationship between soil salinity and other parameters when analyzed by simple linear regression. No apparent relationship between soil salinity and other parameters when analyzed by simple linear regression. Increases in groundwater salinity and liquid limit may have an influence on soil salinity. Increases in groundwater salinity and liquid limit may have an influence on soil salinity. Soil specific gravity, groundwater TDS, liquid limit, water content, and relative depth are found to correlate with soil salinity Soil specific gravity, groundwater TDS, liquid limit, water content, and relative depth are found to correlate with soil salinity

Future Research Additional soil and water sampling and testings. Additional soil and water sampling and testings. Shallow groundwater flow direction and salinity distribution. Shallow groundwater flow direction and salinity distribution. Agricultural practices. Agricultural practices.

Acknowledgement Research Support Budget Fiscal year 2006 of Faculty of Engineering, King Mongkuts Institute of Technology Ladkrabang, Thailand

Din Dam Khon Kong Piman Kok Sawang Wat Sawang Pak Bang Pra Song Noi Bo Dok Sorn Nam Bo Chan Ta Dong Ma Eak