scholarly journals Assessment of Subsurface Condition of Peat Soil due to Brackish Groundwater Seepage

2021 ◽  
Vol 1101 (1) ◽  
pp. 012024
Author(s):  
H D Daud ◽  
R May ◽  
R Rajali ◽  
J Bujang ◽  
E Muol
Author(s):  
Aleksandr Glubokovskih

The results of many years of research on the cultivation of crops in fodder crop rotation on dried peat soil are presented. A productive and agroecological assessment of crop rotation with various saturation with perennial grasses is given. The data on the reduction of peat reserves and changes in the agrochemical properties of the soil are presented.


1967 ◽  
Vol 31 (3) ◽  
pp. 435-436 ◽  
Author(s):  
O. C. Braids ◽  
F. L. Himes ◽  
G. W. Volk
Keyword(s):  

2018 ◽  
Vol 10 (2) ◽  
pp. 276-284 ◽  
Author(s):  
Gang Chen ◽  
Shiguang Xu ◽  
Chunxue Liu ◽  
Lei Lu ◽  
Liang Guo

Abstract Mine water inrush is one of the important factors threatening safe production in mines. The accurate understanding of the mine groundwater flow field can effectively reduce the hazards of mine water inrush. Numerical simulation is an important method to study the groundwater flow field. This paper numerically simulates the groundwater seepage field in the GaoSong ore field. In order to ensure the accuracy of the numerical model, the research team completed 3,724 field fissure measurements in the study area. The fracture measurement results were analyzed using the GEOFRAC method and the whole-area fracture network data were generated. On this basis, the rock mass permeability coefficient tensor of the aquifer in the study area was calculated. The tensor calculation results are used in the numerical model of groundwater flow. After calculation, the obtained numerical model can better represent the groundwater seepage field in the study area. In addition, we designed three different numerical models for calculation, mainly to explore the influence of the tensor assignment of permeability coefficient on the calculation results of water yield of the mine. The results showed that irrational fathom tensor assignment would cause a significant deviation in calculation results.


1986 ◽  
Vol 21 (3) ◽  
pp. 351-367 ◽  
Author(s):  
Michael Sklash ◽  
Sharon Mason ◽  
Suzanne Scott ◽  
Chris Pugsley

Abstract We used seepage meters and minipiezometers to survey a 100 m by 7 km band of streambed of the St. Clair River near Sarnia, Ontario, Canada, to determine the quantity, quality, and sources of groundwater seepage into the river. The average observed seepage rate, 1.4 x 10−8 m3/s/m2, suggests higher than expected hydraulic conductivities and/or hydraulic gradients in the streambed. We found detectable levels of some organic contaminants in streambed groundwater samples from 1.0 and 1.5 m depths, however , concentrations did not exceed drinking water guidelines. Our isotopic and electrical conductivity data indicate that: (l) the streambed groundwater is not just river water, (2) groundwater from the “freshwater aquifer” at the base of the overburden Is not a significant component of the streambed groundwater, (3) some of the streambed groundwater is partially derived from a shallow groundwater flow system, and (4) an unidentified source of water with low tritium, river water-like δ18O, and very high electrical conductivity, contributes to the streambed groundwater.


2016 ◽  
Vol 24 (1) ◽  
pp. 39-46
Author(s):  
Winarna Winarna ◽  
Iput Pradiko ◽  
Muhdan Syarovy ◽  
Fandi Hidayat

Development of oil palm plantation on peatland was faced with hydrophobicity problem caused by over drained. Hydrophobicity could reduce water retention and nutrient availability in the peat soil. Beside of proper water management application, addition of soil ameliorant which contain iron could increase stability and improve peat soil fertility. The study was conducted to obtain the effect of steel slag on peat soil properties and hydrophobicity. In this study, peat soil was incorporated with steel slag and incubated in 60 days period. The research was employed completely randomized design (CRD) factorial 2 x 2 x 4. First factor is peat maturity consists of two levels: sapric (S) and hemic (H), while the second factor is soil moisture which also consist of two levels: field capacity (W1) and dry (under the critical water content) (W2). The third factor is steel slag dosage which consist of four levels: 0 g pot (TB0), 7.17 g pot (TB1), 14.81 g -1 -1 pot (TB2), and 22.44 g pot (TB3). The result showed that application of steel slag significantly increase of soil pH, ash content, and water retention at pF 4.2. Furthermore, application of steel slag significantly reduce time for water reabsorption (wettability) in sapric. On the other hand, there are negative corellation between water penetration and soil pH, ash content, and water retention at pF 4.2. Overall, application of steel slag could increase wettability and prevent peat soil hydrophobicity.


2019 ◽  
Vol 34 (2) ◽  
pp. 237-243
Author(s):  
Jari Hyväluoma ◽  
Mari Räty ◽  
Janne Kaseva ◽  
Riikka Keskinen

Forests ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 880
Author(s):  
Andrey Sirin ◽  
Alexander Maslov ◽  
Dmitry Makarov ◽  
Yakov Gulbe ◽  
Hans Joosten

Forest-peat fires are notable for their difficulty in estimating carbon losses. Combined carbon losses from tree biomass and peat soil were estimated at an 8 ha forest-peat fire in the Moscow region after catastrophic fires in 2010. The loss of tree biomass carbon was assessed by reconstructing forest stand structure using the classification of pre-fire high-resolution satellite imagery and after-fire ground survey of the same forest classes in adjacent areas. Soil carbon loss was assessed by using the root collars of stumps to reconstruct the pre-fire soil surface and interpolating the peat characteristics of adjacent non-burned areas. The mean (median) depth of peat losses across the burned area was 15 ± 8 (14) cm, varying from 13 ± 5 (11) to 20 ± 9 (19). Loss of soil carbon was 9.22 ± 3.75–11.0 ± 4.96 (mean) and 8.0–11.0 kg m−2 (median); values exceeding 100 tC ha−1 have also been found in other studies. The estimated soil carbon loss for the entire burned area, 98 (mean) and 92 (median) tC ha−1, significantly exceeds the carbon loss from live (tree) biomass, which averaged 58.8 tC ha−1. The loss of carbon in the forest-peat fire thus equals the release of nearly 400 (soil) and, including the biomass, almost 650 tCO2 ha−1 into the atmosphere, which illustrates the underestimated impact of boreal forest-peat fires on atmospheric gas concentrations and climate.


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