scholarly journals Soil characteristics, revised soil classification, and soil geochemistry related to soil suitability of West Lampung tropical volcanic residual soil, Sumatra, Indonesia

2021 ◽  
Vol 72 (3) ◽  
pp. 1-10
Author(s):  
Prahara Iqbal ◽  
Dicky Muslim ◽  
Zufialdi Zakaria ◽  
Haryadi Permana ◽  
Arifan Syahbana
2019 ◽  
Vol 11 (21) ◽  
pp. 2490 ◽  
Author(s):  
Ynse Declercq ◽  
Nele Delbecque ◽  
Johan De Grave ◽  
Philippe De Smedt ◽  
Peter Finke ◽  
...  

The assessment of soil elemental concentrations nowadays mainly occurs through conventional laboratory analyses. However, proximal soil sensing (PSS) techniques such as X-ray fluorescence (XRF) spectrometry are proving to reduce analysis time and costs, and thus offer a worthy alternative to laboratory analyses. Moreover, XRF scanners are non-destructive and can be directly employed in the field. Although the use of XRF for soil elemental analysis is becoming widely accepted, most previous studies were limited to one scanner, a few samples, a few elements, or a non-diverse sample database. Here, an extensive and diverse soil database was used to compare the performance of three different XRF scanners with results obtained through conventional laboratory analyses. Scanners were used in benchtop mode with built-in soil calibrations to measure the concentrations of 15 elements. Although in many samples Cu, S, P, and Mg concentrations were up to 6, 12, 13, and 5 times overestimated by XRF, and empirical recalibration is recommended, all scanners produced acceptable results, even for lighter elements. Unexpectedly, XRF performance did not seem to depend on soil characteristics such as CaCO3 content. While performances will be worse when expanding to the field, our results show that XRF can easily be applied by non-experts to measure soil elemental concentrations reliably in widely different environments.


2019 ◽  
Vol 111 (3) ◽  
pp. 1524-1532
Author(s):  
Murali K. Darapuneni ◽  
Omololu J. Idowu ◽  
Leonard M. Lauriault ◽  
Syam K. Dodla ◽  
Kiran Pavuluri ◽  
...  

2012 ◽  
Author(s):  
Hernando Baggio Filho ◽  
Mariana de Oliveira Freitas ◽  
Thalita Siqueira de Meneses ◽  
Thiago Martins Da Costa

Esta breve comunicação, tem como proposta apresentar aos leitores, um dos mais importantes sítios arqueológicos a céu aberto ao longo do Vale do São Francisco o Sítio Arqueológico Cemitério Caixa d’Água, localizado no município de Buritizeiro, norte do Estado de Minas Gerais. O projeto de pesquisa é financiado pela Fundação de Amaparo à Pesquisa do Estado de Minas Gerais - FAPEMIG, e tem como objetivo principal entender o padrão de aldeamento pré-histórico do sítio arqueológico. Foi montado uma malha superfial de amostragens, o material coletado será submetido a análises físico-químicas, químicas e mineralógica (classificação dos solos, fracionamento, cor dos solos, mineralogia, entre outras); químicas (pH, Zn, Cu, Ca, Cr, P, Pb e C orgânico Total ), além disso, a caracterização do ambiente físico. Os resultados obtidos poderão elucidar alguns dos principais enigmas arqueológicos do sítio, como por exemplo, os vários momentos de ocupação pré-histórica que ocorreram no sítio arqueológico Cemitério Caixa d’Água.Palavras-chave: Sítio arqueológico, FAPEMIG, solos, geoquímica ABSTRACT: THE CAIXA D’ÁGUA CEMETERY SITE GEOARCHAEOLOGICAL ASPECTS: SÃO FRANCISCO VALLEY- MINAS GERAIS/BRAZIL. This brief communication, has a proposal to present to readers, one of the most important archaeological sites in the open along the São Francisco Valley Cemetery the archaeological site Caixa d’ água, located in the municipality of Buritizeiro, north of Minas Gerais. The research project is funded by the Fundação de Amaparo a Pesquisa do Estado de Minas Gerais - FAPEMIG, and has as main objective to understand the pattern of village's prehistoric archaeological site. Will be mounted, a mesh surface samples (geocoding, geoprocessing, soil, surface geochemistry, etc.). The collected material will be subjected to physical and chemical analyzes (soil classification, division, color of soil and others); chemical (pH, Zn, Cu, Ca, Cr, P, Pb, and total organic carbon), mineralogical analysis of soils, in addition, the characterization of the physical environment. The results may explain some of the major puzzles of the archaeological site, for example, the various moments of prehistoric archaeological site that occurred in the Caixa d’ água cemetery.Keywords: Archeological site, FAPEMIG, soil, geochemistry


SoilREns ◽  
2017 ◽  
Vol 15 (1) ◽  
Author(s):  
Mahfud Arifin ◽  
Rina Devnita ◽  
Ridha Hudaya ◽  
Apong Sandrawati ◽  
Daud Siliwangi Saribun ◽  
...  

The efforts to utilize the agricultural land need a proper understanding of the soil characteristics. The soil characteristics themselves are influenced by the factors that regulate and control the soil forming and pedogenesis processes. The main soil forming factors in this study was the different ages and composition of parent materials from the eruption of Mt. Tangkuban Parahu in West Java. This research was done to comprehend the pedogenesis and to figure out the soil classifications that developed in two geological formations (Qyd and Qvu) and two ages of eruption (Holocene and Pleistocene) of Mt. Tangkuban Parahu. The study was conducted in Ciater, Subang Regency and Jatinangor, Sumedang Regency in West Java Province. The study consisted of four stages: preparation, field survey and soil sampling, laboratory analysis and presenting the report. The results showed that Pedon of Jatinangor consisted of three different stratifications of ages. The clay mineralogical composition was dominated by kaolinite, whereas mineralogical composition of the sandy fractions (heavy fractions) was augite-hypersthene. Pedon of Ciater also consists of three different stratifications of age. The clay mineralogical composition was dominated by allophane, while mineralogical compositions of the sandy fractions (heavy fractions) were green amphibole-hypersthene in the overlying horizons and amphibole-augite in the underlying horizons. The stage of soil formation on both pedon were cambic or viril. The soil classification according to Soil Taxonomy were Acrudoxic Durudands, medial over loamy-skeletal, isohyperthermic in Ciater Pedon and Fluventic Eutrudepts, fine, kaolinitic, isohyperthermic in Jatinangor Pedon.Key words: slow sand filter, activated carbon, silica sand, sand, gravel, zeolite


Author(s):  
Bharati S. Pawar* ◽  
Ratnadeep R. Deshmukh

In the geosciences, visible–near–short-wave infrared reflectance spectroscopy seems to have the capability to become a helpful technique for soil classification, mapping, and remote confirmation of soil characteristics and mineral composition. Focus on improving the spatial resolution of soil maps in order to better deal with localized problems like soil pollution. A variety of physio-chemical properties were measured in long-term spiked soils with a range of lead and nickel concentrations and also their spectral reflectance between 400 and 2500 nm at three different locations in the agricultural region of MIDC, Aurangabad, Maharashtra, India. Principle component analysis (PCA) used for feature extraction of soil were partial least squares regression (PLSR) method is used for classification. To measured amount of lead and nickel in soil sample, thirteen features of soil samples are calculated. The main aim of this study was to use statistical methods to calculate the lead and nickel concentrations in soil, as well as to assess the efficiency of VNIR-SWIR reflectance spectroscopy for heavy metal estimation in soil using the ASD FieldSpec4 Spectroradiometer. R2 = 0.96 provides the best precision for lead content and R2 = 0.95 for nickel content in soil, according to the findings. Lead and nickel have RMSEs of 3.396 and 2.680, respectively. The outcomes show that the proposed method is capable of accurately forecasting lead and nickel concentrations.


2022 ◽  
Vol 961 (1) ◽  
pp. 012089
Author(s):  
Najwa Wasif Jassim ◽  
Shaymaa alsafi

Abstract Study the consequence of adding fly ash (FA) on the Atterberg limit; cohesions and internal friction of angles of the verified soil was the aim of this search. The tested soil according to the system of unified soil classification was (CH) group. Fly ash (FA) was added to the tested soil samples in 1, 3, 6, 9, 12, 15 & 18 % by weight of samples. This study shows that once the tested soil mixed with (FA); the values of cohesion reduced; while the values of the angles of internal frictions increases. The drop in the soil sample cohesion when mixed with 18% of (FA) was 34%, were noteworthy increase in the angles of internal friction. For all soil samples as the percentages of adding (FA) increase, the decrease in the index of plasticity amounts increase also at different rates. The adding of (FA) produced a reduction in the liquid limits; plastic limits and henceforth the plasticity index of the tested soil sample at rate of 43%, 48% and 37% correspondingly. The plasticity index losses took place at the first 3%, at a lesser rate, then the rate increased at 18% of additive and because nearly constant.


2019 ◽  
Vol 1402 ◽  
pp. 022028
Author(s):  
D Daryati ◽  
I Widiasanti ◽  
E Septiandini ◽  
M A Ramadhan ◽  
K A Sambowo ◽  
...  

2021 ◽  
Vol 7 (1) ◽  
pp. 140-152
Author(s):  
A. Sujatha ◽  
L. Govindaraju ◽  
N. Shivakumar ◽  
V. Devaraj

Proper design of roads and airfield pavements requires an in-depth soil properties evaluation to determine suitability of soil. Soft computing is used to model soil classification system's dynamic behaviour and its properties. Soft computing is based on methods of machine learning, fuzzy logic and artificial neural networks, expert systems, genetic algorithms. Fuzzy system is a strong method for mimicking human thought and solves question of confusion. This paper proposes a new decision-making approach for soil suitability in airfield applications without a need to perform any manual works like use of tables or chart. A fuzzy knowledge - based approach is built to rate soil suitability in qualitative terms for airfield application. The proposed model describes a new technique by defining fuzzy descriptors using triangular functions considering the index properties of soils as input parameters and fuzzy rules are generated using fuzzy operators to classify soil and rate its suitability for airfield applications. The data obtained from the results of the laboratory test are validated with the results of the fuzzy knowledge-based system indicating the applicability of the Fuzzy model created. The approach developed in this work is more skilled to other prevailing optimization models. Due to its system’s flexibility, it can be suitably customized and applied to laboratory test data available, thus delivering a wide range for any geotechnical engineer. Doi: 10.28991/cej-2021-03091643 Full Text: PDF


MAUSAM ◽  
2021 ◽  
Vol 47 (3) ◽  
pp. 295-300
Author(s):  
JAYANTA SARKAR ◽  
B. C. BISWAS

Crop potential has been brought out over the red-laterite-gravelly belt of West Bengal using Moisture Availability Index (MAI) and broad soil information. MAI indicates that a crop of 15. 18-20 and 22-24 weeks. duration at 80%, 50% and 30% probability levels respectively maybe raised from this belt. In most of the stations of the belt, rice could be raised in eight out of every ten years without encountering much waterstress period. At lower probability levels. after rice, pulses like gram. tur and lentil and oilseeds like rapeseed and mustard may be raised based on residual soil moisture. In low rainfall years sorghum. groundnut, maize could be introduced in place of rice in the kharif season. Emphasis should also be given on agro-forestry and horticultural crops for increasing and stabilizing agricultural production.  


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