THIRD LAB REPORT : IMPATIENS BALSAMINA



  





ENVIRONMENTAL SCIENCE (HS11)
SS11403 ENVIRONMENTAL SOIL SCIENCE
YEAR ONE SEMESTER 2 2017/2018

LECTERUR: MDM. DIANA DEMIYAH
GROUP NAME: DINIE TEAM 5

NAME
MATRIC NUMBER
CHAN CHU YIN
BS17110446
CHOW YIAN PENG
BS17110592
DARREN NETANIEL ERIC ROGERS
BS17110402
MIMORI SOGA
BS17270765
NUR AISYIKIN BINTI ABDULLAH
BS17160683
NUR DINIE DAYANA BINTI MOHAMAD RAFI
BS17110064


SOIL PERMEABLELITY TEST

Introduction

The variety of soil types depends on where the environment they are. Some soils can grow very well if the environment have the characteristics that they required.
In this experiment, we conducted an experiment to analyze soil permeability.

          Soil permeability is the ability of the soil to transmit water and air. Soil permeability is affected by particle size, impurities in the water, absorbed water, the degree of saturation, and void ratio. The permeability is related to soil texture. In this test, water is forced by a known constant pressure through a soil specimen of known dimensions and the rate of flow is determined. This test is used primarily to determine the suitability of sands and gravels for drainage purposes and is made only on remolded samples. The test is limited to materials which have a coefficient of permeability of approximately 300 mm/day or greater. The “Constant Head” type of test is used on samples that represent materials to be used as backfill for abutments, as permeable material for underdrains, as sand drains, as sand blanket for sand drain areas, and similar materials. Water flows rapidly in sand soil, because soil particles are large and have pore spaces. In sandy loam, the flow of water is moderate. Clay soil is less porous than sand soil, thus clay can hold a lot of water. That’s why water flows very slowly in clay soil.

Aim

To investigate the relationship between the types of soils and the quantity of water after flow through the soils.

Objectives

1.    To determine the coefficient of permeability of a soil.
2.    To study the permeability of different type of soils.

Apparatus and Materials

·         Graduated Cylinders
·         Funnels
·         Test Tubes
·         Beaker
·         Test Tube Rack
·         Filter Papers
·         Soil Samples (black soil, FSSA’s lake, hill soil, ODEC’s soil, mangrove)
·         Stopwatch

Procedures

1.    The test tube is stand on the test tube rack and funnel on top of test tube is prepared.
2.     The filter paper is folded and inserted into the funnel to separate the soil. This is to prevent soil from dropping into the test tube together with water.
3.    Same amount of 5 air-dried soil samples for each setup are prepared. The soil is compacted gently.
4.    Same amount of water (100ml) is prepared and poured gently in each funnel at the same time.
5.    The water is poured slowly to all the soil samples at the same time.
6.    Balance water is added after the water is not overflowing in the funnel to finish 100ml water.
7.    After an hour, the water volume in the test tube is measured.
8.    Results are collected.


Results

Type of Soil
Initial volume of water (mL)
Final volume of water (mL)
Black soil
100
61
FSSA’s lake
100
78
Hill (tanah bukit)
100
78
ODEC
100
79
Mangrove
100
75
Table 1.0       Volume of water reading after filtration for an hour

Figure 1.0      Volume of water from different type of soils after an hour

Discussion

Soils are composed of three types of particles: sand, silt, and clay. The size of the particles varies, with clay having the smallest size and sand the largest. Smaller sized particles pack more closely together and slow the flow of water through the soil. The composition of a soil can affect the permeability of water to flow through the soil. In this experiment, the student will test the permeability of soils to water.

Permeability is influenced by the size, shape, and continuity of the pore spaces. Coarse textured soils such as sands usually have high infiltration rates as sand particles are larger than other. The infiltration rates of medium and fine textured soils such as black soil, hill soil, soil at FSSA’s lake and mangrove soil are lower than those of coarse textured soils and more dependent on the stability of the soil aggregates.

The water holding capacity also affects the permeability of the soil. Water holding capacity is the amount of water that a given soil can hold. Sand have the lowest water holding capacity instead of having the high infiltration rate. Soil with high percentage of silt and clay have high water holding capacity. As an example, mangrove is a lock and can hold more water than the sandy soil.

          Based on the experiment’s result, ODEC’s soil have the highest permeability rate compared to the other soil. Results obtained are differ to the actual results. It supposed the mangrove’s soil can hold the most water in an hour compared to the others instead, the black soil holds the most. This is also caused by the organic matter contained in the black soil make it holds water the most. Improper handling method also can affect the results obtained.

Conclusion

The soil from ODEC has the best drainage. Sandy soil has large particles and pore space. Loosely space allows water to pass through the soil and drain quickly. The soil from ODEC has the highest permeability. On the other hand, water took the longest time to pass through mangrove soil. Mangrove soil has the lowest permeability of the five soil types that we employed in this experiment. Soils are porous and permeable. However, the permeability is affected by many factors such as pore space of the soil. Generally, sand has the highest permeability. Clay has the lowest permeability. Analyzing permeability of the soil is important. It leads to understand what type of soils is good to germinate seeds and grow plants.

Appendix
Figure 2.0      Soil permeability of ODEC (79mL)   

Figure 3.0      Soil permeability test

References

Alexandria Engineering Journal, Volume 55, Issue 3, September 2016, Pages 2631-2638

EGCE 324L (Soil Mechanics Laboratory) Spring 2008, Binod Tiwari, PhD

Hamdan, D. D. (2018, March 20). HS11 Sains Tanah Sekitaran 2018. Retrieved April 7, 2018, from https://hs11sainstanahsekitaran2018.blogspot.my/2018/03/soil-permeability-test_19.html

Soil Mechanics – Laboratory Manual,B.M. DAS (Chapter 10,11) Soil Properties, Testing, Measurement, and Evaluation, C.Liu, J.Evett



SIEVE ANALYSIS TEST

Introduction

The variety of soil types depends on where the environment they are. Some soils can grow very well if the environment have the characteristics that they required.
In this experiment, we conducted a sieve analysis experiment.

Sieve analysis is a practice to determine the particle size distribution of the soil, coarse and fine aggregates. The particle size distribution is called gradation. The standard grain size analysis test determines the relative proportions of different grain sizes as they are distributed among certain size ranges. This grain size analysis is widely used in classification of soil. Soil passes through a stack of sieves. Then, we can collect different sized particles left behind at each of sieves and weight them.

Aim

To investigate the relationship between the types of soils and the particle size distribution of the soils.

Objective

To determine the particle size distribution of the coarse and fine aggregates.

Apparatus and Materials

·         Air-dried soils (mangrove, ODEC’s, FSSA’s lake, black soil, hill’s (tanah bukit))
·         Stack of sieves including pan and cover
·         Weighing balance
·         Mechanical sieve shaker
·         Brush
·         Pestle and mortar
·         Tray

Procedures

1.    Tree roots, pieces of bark and rocks are removed from the soil sample.
2.    Clumps of air-dried soils are broken by hand before air-dried samples are sieve.
3.    The total weight of the sample soil is measured before sieve.
4.    5 size of mesh sieve are selected (one of the sieve should be the 60µm mesh size).
5.    Sieves are made sure in clean condition.  Brush is used gently without injuring the mesh if many soil particles are stuck in the openings.
6.    A stack of sieves on the mechanical sieve shaker is prepared. Sieves are made sure to have larger opening sizes are placed above the one having smaller opening size. The pan is set first in the stack, the cover on the top of the biggest mesh size sieve.
7.    The soil is poured and the cover is placed.
8.    The clamps are fixed.
9.    A tray below the opening of the pan is placed to collect the finest particle.
10.  The time is adjusted to 15 minutes and get the shaker went on 40~50.
11.  The mass of each sieve and retained soil are measured after the shaker has stopped. The finest particle on the pan is collected.
12.  Brush is used to poke the particles that stuck on the mesh and the particles are collected.
13.  Step 1 to 12 are repeated for another 4 soil samples.
14.  The soils are labelled and kept for further analysis.

Results

Black soil
Total mass of dry soil: 100g
Sieve Number
Sieve Opening Mesh Size
Mass of Soil Retained on Each Size (g)
Percentage of Mass Retained on Each Sieve (Rn)
Cumulative Percent Retained
Percent Finer
% Retained = Wsieve /Wtotal x 100%
% Cumulative Passing = 100% - % Cumulative Retained
100 - ΣRn
18
1mm
49.6162
49.6162
50.3838
50.3838
30
600µm
20.1440
20.1440
79.8560
79.8560
70
212µm
27.5365
27.5365
72.4635
72.4635
120
125µm
13.4530
13.4530
86.5470
86.5470
230
63µm
7.1918
7.1918
92.8082
92.8082
Pan

6.8571
6.8571
93.1429
93.1429
Table 1.0       Sieve analysis result for black soil

Chart 1.0       Sieve analysis for black soil

ODEC
Total mass of dry soil: 100g
Sieve Number
Sieve Opening Mesh Size
Mass of Soil Retained on Each Size (g)
Percentage of Mass Retained on Each Sieve (Rn)
Cumulative Percent Retained
Percent Finer
% Retained = Wsieve/Wtotal x 100%
% Cumulative Passing = 100% - % Cumulative Retained
100 - ΣRn
18
1mm
14.6237
14.6237
85.3763
85.3763
30
600µm
16.5058
16.5058
83.4942
83.4942
70
212µm
24.5751
24.5751
75.4249
75.4249
120
125µm
43.8140
43.8140
56.1860
56.1860
230
63µm
20.2656
20.2656
79.7344
79.7344
Pan

7.5604
7.5604
92.4396
92.4396
Table 2.0       Sieve analysis result for ODEC


Chart 2.0       Sieve analysis for ODEC

FSSA’s Lake
Total mass of dry soil: 100g
Sieve Number
Sieve Opening Mesh Size
Mass of Soil Retained on Each Size (g)
Percentage of Mass Retained on Each Sieve (Rn)
Cumulative Percent Retained
Percent Finer
% Retained = Wsieve/Wtotal x 100%
% Cumulative Passing = 100% - % Cumulative Retained
100 - ΣRn
18
1mm
26.9246
26.9246
73.0754
73.0754
30
600µm
9.0722
9.0722
90.9278
90.9278
70
212µm
19.9532
19.9532
80.0468
80.0468
120
125µm
15.6134
15.6134
84.3866
84.3866
230
63µm
13.1421
13.1421
86.8579
86.8579
Pan

8.9816
8.9816
91.0184
91.0184
Table 3.0       Sieve analysis result for FSSA’s lake


Chart 3.0       Sieve analysis for FSSA’s lake

Hill’s soil (tanah bukit)
Total mass of dry soil: 100g
Sieve Number
Sieve Opening Mesh Size
Mass of Soil Retained on Each Size (g)
Percentage of Mass Retained on Each Sieve (Rn)
Cumulative Percent Retained
Percent Finer
% Retained = Wsieve /Wtotal x 100%
% Cumulative Passing = 100% - % Cumulative Retained
100 - ΣRn
18
1mm
41.7600
41.7600
58.2400
58.2400
30
600µm
15.0772
15.0772
84.9228
84.9228
70
212µm
25.5321
25.5321
74.4679
74.4679
120
125µm
17.0120
17.0120
82.9880
82.9880
230
63µm
15.3400
15.3400
84.6600
84.6600
Pan

12.5355
12.5355
87.4645
87.4645
Table 4.0       Sieve analysis result for hill soil (tanah bukit)

Chart 4.0       Sieve analysis for hill soil (tanah bukit)

Mangrove
Total mass of dry soil: 100g
Sieve Number
Sieve Opening Mesh Size
Mass of Soil Retained on Each Size (g)
Percentage of Mass Retained on Each Sieve (Rn)
Cumulative Percent Retained
Percent Finer
% Retained = Wsieve /Wtotal x 100%
% Cumulative Passing = 100% - % Cumulative Retained
100 - ΣRn
18
1mm
22.1155
22.1155
77.8845
77.8845
30
600µm
8.0099
8.0099
91.9901
91.9901
70
212µm
23.9828
23.9828
76.0172
76.0172
120
125µm
22.9710
22.9710
77.0290
77.0290
230
63µm
10.8171
10.8171
89.1829
89.1829
Pan

5.5415
5.5415
94.4585
94.4585
Table 5.0       Sieve analysis result for mangrove

Chart 5.0       Sieve analysis for mangrove

Discussion

From this experiment, there are five different soil that have been observed which are black soil, mangrove soil, hill soil, sand and soil at FSSA’s lake. The method used was sieving method, where we able to determine the particle size distribution. As a stack of sieves were prepared, the sieve that has larger opening size are placed above the ones that having smaller opening sizes. This means, the sieve that have diameter of aperture of 1mm will be placed at the above followed by 600µm, 212µm, 125µm, and 63µm. This experiment also cannot be considered accurate as the weight of black soil, mangrove soil, hill soil, sand and soil at FSSA’s lake not totally correct since there is still amount of soil left in the sieves after the process was carried out. Besides that, some of soil are spilled out from the container since the machine is not closed correctly. This also affects to the result obtained.

          So, before conducting this experiment, make sure the sieves are clean by using brush, because if many soil particles are stuck in the openings, this will affect the result of the experiments. The machine also must be set up correctly so that there is no problem occur during carrying out the process.

Conclusion

Sieves separated fine and coarse aggregates into different particle sized. We weighted and recorded each size of particles. We calculated the percentage of retained aggregates. Sieve analysis is a simple way to determine the particle size distribution of the soil.

Appendix


Figure 1.0        Number of sieves used for sieve analysis

Figure 2.0        Mechanical sieve shaker

References

Alexandria Engineering Journal, Volume 55, Issue 3, September 2016, Pages 2631-2638

EGCE 324L (Soil Mechanics Laboratory) Spring 2008, Binod Tiwari, PhD

Hamdan, D. D. (2018, March 20). HS11 Sains Tanah Sekitaran 2018. Retrieved April 7, 2018, from https://hs11sainstanahsekitaran2018.blogspot.my/2018/03/sieve-analysis-test.html

Soil Mechanics – Laboratory Manual,B.M. DAS (Chapter 10,11) Soil Properties, Testing, Measurement, and Evaluation, C.Liu, J.Evett









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