scholarly journals Selected physical and water properties of soils located in the vicinity of proposed opencast lignite mine “Drzewce” (middle Poland)

2015 ◽  
Vol 66 (2) ◽  
pp. 75-81 ◽  
Author(s):  
Piotr Gajewski ◽  
Zbigniew Kaczmarek ◽  
Wojciech Owczarzak ◽  
Andrzej Mocek ◽  
Bartłomiej Glina

Abstract The paper presents physical and water properties of six soils located in the areas directly adjacent to “Drzewce” lignite open cast mine (KWB Konin). The conducted works included preparation of pits of various soil types in points characteristic to large and representative soil allotments. The selected soil types represented mineral and organic soils. Samples of disturbed and undisturbed structure were taken from various genetic horizons for laboratory analysis. Such properties as content of total carbon, texture, specific density, bulk density, total and drainage porosity, moisture, saturated hydraulic conductivity, the potential of water bonding, total and readily available water, and total retention were determined in the samples from the horizons of 0–100 cm. The investigated soils showed mostly sandy texture with few local loam insertions. Texture and the content of organic matter were the most important parameters which influenced all analyzed properties. Morphology and the properties of the examined soils as well as deep level of soil – ground water were decisive factors when categorizing them as a precipitation-water type. Such soils will not undergo degradation caused by the dehydrating depression cone of open cast mine.

2017 ◽  
Vol 68 (1) ◽  
pp. 39-45
Author(s):  
Wojciech Owczarzak ◽  
Andrzej Mocek ◽  
Zbigniew Kaczmarek ◽  
Piotr Gajewski ◽  
Bartłomiej Glina

Abstract This work presents the results of a four-year study on the determination of the range of soil groundwater drainage caused by the operation of the Tomisławice lignite open-cast mine. The performed analyses covered the area of 9600 ha which included 24 villages. It was found that operation of Tomisławice open-cast mine caused noticeable changes of soil groundwater level in the areas adjacent to the excavation. It consequently resulted in considerable changes in soil water regimes types on grassland areas but it did not always lead to soil degradation processes. However, the deterioration of soils hydrological conditions may cause disappearance of certain hydrophilous grass species.


1990 ◽  
Vol 70 (3) ◽  
pp. 363-377 ◽  
Author(s):  
D. ANN BROWN ◽  
S. P. MATHUR ◽  
ANTON BROWN ◽  
D. J. KUSHNER

Different numerical methods used to distinguish between organic soil types are evaluated. The research was initiated by the suggestion that acid leaching from mining wastes could be prevented by capping the tailings with a self-renewing methane-producing muskeg bog, in order to prevent the penetration of oxygen to the wastes. Thirty organic soils from bogs in the mining districts of Elliot Lake, Sudbury, and Timmins, Ontario, and Noranda, Quebec, were sampled and 28 soil characteristics were measured. These characteristics, whose values are normally or lognormally distributed, were analyzed by several different statistical methods. Some characteristics indicate the existence of two populations, and others are bivariantly correlated. Canonical discriminant analysis was more successful than cluster analysis in separating the bogs into well-defined geographical groups. However, principal component analysis proved best at grouping the organic soils according to their organic and inorganic components, and we suggest that this is a suitable method for the general discrimination of organic soil types. Methane was present in all the 17 bogs tested for it, and in two very wet bogs more than 2 mmol of methane per liter were extracted. Key words: Muskeg bog, organic soils, soil characterization, principal component analysis


2001 ◽  
Vol 73 (2) ◽  
pp. 97-111 ◽  
Author(s):  
Wolfgang Rolland ◽  
Hella Wagner ◽  
Robert Chmielewski ◽  
Uwe Grünewald

2021 ◽  
Author(s):  
Anatol Helfenstein ◽  
Philipp Baumann ◽  
Raphael Viscarra Rossel ◽  
Andreas Gubler ◽  
Stefan Oechslin ◽  
...  

Abstract. Traditional laboratory methods of acquiring soil information remain important for assessing key soil properties, soil functions and ecosystem services over space and time. Infrared spectroscopic modelling can link and massively scale up these methods for many soil characteristics in a cost-effective and timely manner. In Switzerland, only 10 % to 15 % of agricultural soils have been mapped sufficiently to serve spatial decision support systems, presenting an urgent need for rapid quantitative soil characterization. The current Swiss soil spectral library (SSL; n = 4374) in the mid-infrared range includes soil samples from the Biodiversity Monitoring Program (BDM), arranged in a regularly spaced grid across Switzerland, and temporally-resolved data from the Swiss Soil Monitoring Network (NABO). Given the relatively low representation of organic soils and their organo-mineral diversity in the SSL, we aimed to develop both an efficient calibration sampling scheme and accurate modelling strategy to estimate soil carbon (SC) contents of heterogeneous samples between 0 m to 2 m depth from 26 locations within two drained peatland regions (HAFL dataset; n = 116). The focus was on minimizing the need for new reference analyses by efficiently mining the spectral information of SSL instances and their target-feature representations. We used partial least square regressions (PLSR) together with a 5 times repeated, grouped by location, 10-fold cross validation (CV) to predict SC ranging from 1 % to 52 % in the local HAFL dataset. We compared the validation performance of different calibration schemes involving local models (1), models using the entire SSL spiked with local samples (2) and 15 subsets of local and SSL samples using the RS-LOCAL algorithm (3). Using local and RS-LOCAL calibrations with at least 5 local samples, we achieved similar validation results for predictions of SC up to 52 % (R2 = 0.94–0.96, bias = −0.6–1.5, RMSE = 2.6 % to 3.5 % total carbon). However, calibrations of representative SSL and local samples using RS-LOCAL only required 5 local samples for very accurate models (RMSE = 2.9 % total carbon), while local calibrations required 50 samples for similarly accurate results (RMSE 


2019 ◽  
Vol 140 ◽  
pp. 04011
Author(s):  
Margarita Kovalchuk ◽  
Dmitriy Poddubniy

Nowadays there is a tendency in the world industry to increase the number of open cast mines and the depth of work performed in them. In this regard, the problems of reliable and environmentally friendly transportation of extracted resources become especially urgent. Traditional motor vehicles is quite expensive, have problems with reliability and leads to a large gas pollution of the atmosphere, as well as the associated necessary stoppages of the open cast mine, which in turn leads to significant economic costs. The most optimal solution to these problems is the use of long conveyor lines for transportation. However, it is necessary to solve a number of problems one of them is related to the efficiency of the conveyor, which has a large length. This system needs to be controlled and monitored in real time. Thus, it is necessary to implement an automation system that meets all the specified requirements.


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