scholarly journals Changes in soil properties of four agro-ecological zones of Tangail district in Bangladesh

2019 ◽  
Vol 29 (4) ◽  
pp. 284-294
Author(s):  
U Kumar ◽  
M Mukta ◽  
MY Mia

This study was undertaken to investigate the changes in status of soil properties in four AEZs (AEZ 28, AEZ 9, AEZ 8 and AEZ 7) of Tangail district in Bangladesh over the span of the years. In 2017, the pH value of four AEZ was ranged from strongly acidic to slightly acidic but before 2000 it was strongly acidic to slightly alkaline. The present OM status was medium and before 2000 it was also medium. The present N status was very low, low, low and low, respectively but before 2000 it was low, medium, low and low, respectively. The present P status was low, low, low and very low, respectively in upland and low in wetland but before 2000 it was medium, medium, low and medium in upland and optimum, medium, medium and optimum in wetland, respectively. The present K status was medium, low, low and low in upland and medium, low, low and low in wetland, respectively but before 2000 it was optimum, high, high and optimum in upland and high, very high, very high and optimum in wet land, respectively. Under upland and wetland, the present S status was low, low, very low and low, respectively but before 2000 it was medium in all AEZ. The present Ca status was medium, medium, optimum and optimum, respectively but before 2000 it was optimum, high, high and high, respectively. The present Mg status was high, high, very high and very high, respectively but before 2000 it was medium in all AEZ. The Present Zn status was optimum, medium, low and low,  respectively but before 2000 it was  medium very high, very high, very high and optimum, respectively. The present B status was low in all AEZ but before 2000 it was optimum, optimum, low and low, respectively. With few exceptions, the nutrient status of the study area was reducing day by day and it was less than optimum level which was not suitable for sustainable crop production. Progressive Agriculture 29 (4): 284-294, 2018

2020 ◽  
Vol 30 (3) ◽  
pp. 282-287
Author(s):  
U Kumar ◽  
H Rashid ◽  
NH Tithi ◽  
MY Mia

The study was intended to investigate the status of soil properties and its relation to soil pH in Madhupur tract soil of Tangail district, Bangladesh. Thirty soil samples were collected during the period from June-July, 2016 covering four types of land as high land, medium high land, medium low land and low land. The interpretative data showed that the range of pH was strongly acidic to slightly acidic (5.27- 5.90), mean pH was slightly acidic (5.61). The organic matter (OM) status was medium (2.11 to 2.33 %) and mean OM was medium (2.24 %). The Nitrogen (N) status was low (0.11 to 0.13 %) and mean N status was medium (0.12 %). The range of the Phosphorus (P) status was found very low to medium (1.63 to 11.06 µg g-1 soil) and mean P status was medium (7.37 µg g-1 soil). The Potassium (K) status was low to very high (0.15 to 0.75meq/100 g soil) and mean K status was low (0.18 meq/100 g soil). The range of the Sulfur (S) status was found from low to medium (11.73 to 16.31 µg g-1 soil), mean S status was low (13.26 µg g-1 soil). The range of the Zinc (Zn) status was found from medium to high (0.96 to 2.23 µg g-1 soil), mean Zn status was optimum (1.55 µg g-1 soil). The range of the Boron (B) status was found from medium to very high (0.39 to 0.86 µg g-1 soil), mean B status was high (0.73 µg g-1 soil). The Calcium (Ca) status was medium to optimum (4.42 to 5.23meq/100 g soil), mean Ca status was optimum (4.83 meq/100 g soil). The Magnesium (Mg) status was optimum to high (1.21 to 1.75meq/100 g soil), mean Mg status was optimum (1.37 meq/100 g soil). No significant correlation of OM and other nutrients with pH. Progressive Agriculture 30 (3): 282-287, 2019


2021 ◽  
Author(s):  
Luqman Abidoye ◽  
Habeebllah Oladipo

Abstract Cheap and efficient computational tool is needed to understand the influences of rock’s mineralogical and chemical constituents on the mineral carbonation efficiency. This work employs machine learning technique to learn some subtle contributions of minerals and technical parameters to carbonation yields in earthly materials. After training different configurations of Artificial Neural Network models, statistical appraisal shows that ANN[17-4-1] possesses the best performance criteria. Using this best-performing network, it was found that carbonation efficiency becomes lower as the particle size increases with maximum effects of size change giving up to 88, 180 and 289% reductions in carbonation efficiency corresponding to 10, 20 and 30% particle size increases, respectively. The simulation further highlights that the effects of particle size on carbonation efficiency can be overcome or, at least, reduced, by prolonging the duration of the carbonation. The study shows that there is optimum level of increase in the calcium amount to yield increased carbonation efficiency, following which the marginal increase in % of calcium continue to result in decrease of efficiency. There is gradual rise in efficiency as the % of silica and iron increase in the minerals, with up to 1541 % rise in efficiency at 30% increase in iron content. This is connected to the relatively higher level of magnesium in the sample considered. It was found that the high temperature (> 100oC) combined with high pressure (> 10 bars) favours increased efficiency with rise in pH value. Similarly, low temperature (< 100oC) with low pressure (< 10 bars) increased efficiency with rise in pH value. On the contrary, low pressure with high temperature yields reverse trends in efficiency for increase in pH. Pressure, carbonation time and temperature, all have positive effects on carbonation efficiency. But, curiously, at very high original carbonation efficiency, e.g., above 50%, reverse trend was predicted by the ANN model for temperature rise. This may mean that at very high carbonation level, it is of no benefit to raise the temperature further, as this may lead to decarbonation or desorption of CO2 in the medium. This study is among the first set of publications, in the open literature, to utilize the concept of machine learning to predict and forecast the carbonation efficiency of rock materials based on mineralogical contents and experimental conditions.


Minerals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 373
Author(s):  
Jonathan Suazo-Hernández ◽  
Erwin Klumpp ◽  
Nicolás Arancibia-Miranda ◽  
Patricia Poblete-Grant ◽  
Alejandra Jara ◽  
...  

Engineered nanoparticles (ENPs) present in consumer products are being released into the agricultural systems. There is little information about the direct effect of ENPs on phosphorus (P) availability, which is an essential nutrient for crop growthnaturally occurring in agricultural soils. The present study examined the effect of 1, 3, and 5% doses of Cu0 or Ag0 ENPs stabilized with L-ascorbic acid (suspension pH 2–3) on P ad- and desorption in an agricultural Andisol with total organic matter (T-OM) and with partial removal of organic matter (R-OM) by performing batch experiments. Our results showed that the adsorption kinetics data of H2PO4− on T-OM and R-OM soil samples with and without ENPs were adequately described by the pseudo-second-order (PSO) and Elovich models. The adsorption isotherm data of H2PO4− from T-OM and R-OM soil samples following ENPs addition were better fitted by the Langmuir model than the Freundlich model. When the Cu0 or Ag0 ENPs doses were increased, the pH value decreased and H2PO4− adsorption increased on T-OM and R-OM. The H2PO4− desorption (%) was lower with Cu0 ENPs than Ag0 ENPs. Overall, the incorporation of ENPs into Andisols generated an increase in P retention, which may affect agricultural crop production.


Author(s):  
Yuetai Weng ◽  
Zhaoguo Li ◽  
Sisheng Luo ◽  
Zhangwen Su ◽  
Xueying Di ◽  
...  

2016 ◽  
Vol 8 (2) ◽  
pp. 11-14
Author(s):  
MAM Hossen ◽  
SA Lira ◽  
MY Mia ◽  
AKMM Rahman

Soil samples from high land, medium high land, medium low land and low land of Brahmaputra Floodplain area showed that pH of the soils were slightly acidic; organic matter (OM) content was medium; total nitrogen (N), available potassium (K) and boron (B) content were low; available phosphorus (P) content was very low; available sulfur (S) and calcium (Ca) content were medium to very high; magnesium (Mg) and zinc (Zn) content were low to optimum; copper (Cu), manganese (Mn) and iron (Fe) content were very high suggesting the fact that soils of this area is moderately suitable for agricultural uses.J. Environ. Sci. & Natural Resources, 8(2): 11-14 2015


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