THE VOLUME WEIGHT OF SOILS AS A PHYSICAL CHARACTERISTIC OF THE SOIL PROFILE

Soil Science ◽  
1928 ◽  
Vol 25 (3) ◽  
pp. 207-212 ◽  
Author(s):  
A. F. LEBEDEV
2015 ◽  
Vol 2 (2) ◽  
pp. 148-158
Author(s):  
Surianto

Spodosol soil of Typic Placorthod sub-group of East Barito District is one of the problem soils with the presence of hardpan layer, low fertility, low water holding capacity, acid reaction and it is not suitable for oil palm cultivation without any properly specific management of land preparation and implemented best agronomic practices. A study was carried out to evaluate the soil characteristic of a big hole (A profile) and no big hole (B profile) system and comparative oil palm productivity among two planting systems. This study was conducted in Spodosol soil at oil palm plantation (coordinate X = 0281843 and Y = 9764116), East Barito District, Central Kalimantan Province on February 2014, by surveying of placic and ortstein depth and observing soil texture and chemical properties of 2 (two) oil palm's soil profiles that have been planted in five years. Big hole system of commercial oil palm field planting on the Spodosol soil area was designed for the specific purpose of minimizing the potential of a negative effect of shallow effective planting depth for oil palms growing due to the hardpan layer (placic and ortstein) presence as deep as 0.25 - 0.50 m. The big hole system is a planting hole type which was vertical-sided with 2.00 m x 1.50 m on top and bottom side and 3.00 m depth meanwhile the 2:1 drain was vertical-sided also with 1.50 m depth and 300 m length. Oil palm production was recorded from the year 2012 up to 2014. Results indicated that the fractions both big hole profile (A profile) and no big hole profile (B profile) were dominated by sands ranged from 60% to 92% and the highest sands content of non-big hole soil profile were found in A and E horizons (92%). Better distribution of sand and clay fractions content in between layers of big hole soil profiles of A profile sample is more uniform compared to the B profile sample. The mechanical holing and material mixing of soil materials of A soil profile among the upper and lower horizons i.e. A, E, B and C horizons before planting that resulted a better distribution of both soil texture (sands and clay) and chemical properties such as acidity value (pH), C-organic, N, C/N ratio, CEC, P-available and Exchangeable Bases. Investigation showed that exchangeable cations (Ca, Mg, K), were very low in soil layers (A profile) and horizons (B profile) investigated. The low exchangeable cations due to highly leached of bases to the lower layers and horizons. Besides, the palm which was planted on the big hole system showed good adaptation and response positively by growing well of tertiary and quaternary roots that the roots were penetrable into deeper rooting zone as much as >1.00 m depth. The roots can grow well and penetrate much deeper in A profile compared to the undisturbed hardpan layer (B profile). The FFB (fresh fruit bunches) production of the non-big hole block was higher than the big hole block for the first three years of production. This might be due to the high variation of monthly rainfall in-between years of observation from 2009 to 2014. Therefore, the hardness of placic and ortstein as unpenetrable agents by roots and water to prevent water loss and retain the water in the rhizosphere especially in the drier weather. In the high rainfall condition, the 2:1 drain to prevent water saturation in the oil palm rhizosphere by moving some water into the drain. Meanwhile, the disturbed soil horizon (big hole area) was drier than un disturbance immediately due to water removal to deeper layers. We concluded that both big hole and 2:1 drain are a suitable technology for Spodosol soil land especially in preparing palms planting to minimize the negative effect of the hardpan layer for oil palm growth.


Author(s):  
Diego Sousa Lopes ◽  
Augusto Cezar Cordeiro Jardim ◽  
Diego Estumano ◽  
Emanuel Macêdo ◽  
João Quaresma

2017 ◽  
Vol 19 (1) ◽  
pp. 31-35
Author(s):  
Frieda Rosita Majid ◽  
Nur Hidayat ◽  
Waluyo Waluyo

Background:Moringa (Moringaoleifera Lam.) Is a plant of high nutritional value, grows scattered in the tropics and sub-tropics, but utilization is still low. Each section has its benefits Moringa one part is the Moringa leaves contain a high calcium. In 100 grams of material, fresh Moringa leaves contain as much as 440 mg of calcium in the form of flour whereas if it contains as much as 2,003 mg of calcium. One of its use in the manufacture of flakes added. Objective: Know the difference physical harateristi, organoleptic characteristic and calcium levels in flakes variations addition of Moringa leaf powder. Methods: The study is a randomized experimental design with simple, includes four kinds of treatments, two replications with two experimental units. Observations of physical characteristic were analyzed by descriptive, the organoleptic characteristic of data analysis using statistical test Kruskal-Wallis continued Mann-Whitney and methods of test calcium content using permanganometri then the data were analyzed descriptive. Results: The physical characteristics of flakes greenish-yellow, slightly fragrant aroma typical of flakes, rather unpleasant taste typical of Moringa leaves and a slightly crunchy texture. Organoleptic characteristics the color of flakes with moringa leaf powder 5%, the aroma of the flakes without addition moringa leaf powder, the flavour of flakes with additions moringa leaf powder 5% and the texture of flakes with additions moringa leaf powder 7,5% most prefered panelist and high levels calcium of flakes with additions 10% moringa leaf powder. Conclusion: There is a difference variations addition of moringa leaf powder on physical, organoleptic characteristic (color) and the level of calcium flakes.Flakes with the addition of 5% moringa leaf powder is the most prefered panelist.   Keywords:Moringa Leaf Flour, Flakes, Physical characteristic, organoleptic, Calcium


2018 ◽  
Vol 70 (1) ◽  
pp. 27-41 ◽  
Author(s):  
Y. Zhang ◽  
A. E. Hartemink
Keyword(s):  

1993 ◽  
Vol 136 (3) ◽  
pp. 251-258 ◽  
Author(s):  
P CHAMARD ◽  
R VELASCO ◽  
M BELLI ◽  
G DISILVESTRO ◽  
G INGRAO ◽  
...  
Keyword(s):  

Author(s):  
E D Rozhnov ◽  
M N Shkolnikova ◽  
N N Maksimiuk ◽  
V I Voitsekhivskyi ◽  
E A Tikhomirov ◽  
...  

Author(s):  
Yuksel Palaci ◽  
Mustafa M Arikan

This study investigates visualization of optimized layer thickness with a ternary diagram by considering Volume, Weight, and Cost priorities to determine the composite structure of alternative ceramics to use in body armor application by using the Digital Logic Method (DLM). Three criterion priorities (volume, weight, cost) have been investigated to help designers decide on optimum ceramic material for their applications. Alumina (Al2O3), silicon carbide (SiC), silicon nitride (Si3N4), and boron carbide (B4C) were analyzed and ranked to decide for material selection based on priorities. The analysis results showed that silicon nitride (Si3N4) had the maximum performance index (PI) point (80.0) based on the volume priority. On the other hand, while boron carbide (B4C) had the maximum PI point (76.4) in terms of the weight priority, alumina (Al2O3) was determined to be the best material according to the cost priority. PI point of alumina (Al2O3) was calculated as 100. A ternary diagram was developed for decision-makers to visualize material selection performances. The optimization of the ceramic composite layer thickness of the alternative ceramic materials is visualized by considering three criteria.


2021 ◽  
Vol 11 (6) ◽  
pp. 2557
Author(s):  
Sadia Mannan Mitu ◽  
Norinah Abd. Rahman ◽  
Khairul Anuar Mohd Nayan ◽  
Mohd Asyraf Zulkifley ◽  
Sri Atmaja P. Rosyidi

One of the complex processes in spectral analysis of surface waves (SASW) data analysis is the inversion procedure. An initial soil profile needs to be assumed at the beginning of the inversion analysis, which involves calculating the theoretical dispersion curve. If the assumption of the starting soil profile model is not reasonably close, the iteration process might lead to nonconvergence or take too long to be converged. Automating the inversion procedure will allow us to evaluate the soil stiffness properties conveniently and rapidly by means of the SASW method. Multilayer perceptron (MLP), random forest (RF), support vector regression (SVR), and linear regression (LR) algorithms were implemented in order to automate the inversion. For this purpose, the dispersion curves obtained from 50 field tests were used as input data for all of the algorithms. The results illustrated that SVR algorithms could potentially be used to estimate the shear wave velocity of soil.


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