Engineering soil classification of the loess of Gansu, China Based on sedimentary properties: Relationships to geotechnical behaviour

Author(s):  
Wang Jingtai ◽  
E. Derbyshire
2006 ◽  
Vol 70 (1) ◽  
pp. 78-83 ◽  
Author(s):  
X. Z. Shi ◽  
D. S. Yu ◽  
E. D. Warner ◽  
W. X. Sun ◽  
G. W. Petersen ◽  
...  

2019 ◽  
Vol 52 (2) ◽  
pp. 225
Author(s):  
Karolina Woźnica ◽  
Agnieszka Józefowska ◽  
Justyna Sokołowska ◽  
Ryszard Mazurek ◽  
Tomasz Zaleski

<p class="Default">In this paper, the current problems associated with the classification of brown earths, are presented. According to the Polish Soil Classification (PSC) (1989, 2011), base saturation is the main parameter for identifying eutrophic and dystrophic brown soils. In practice, however, it is not possible to determine the base saturation value in the field. Therefore, the aim of this study was to estimate the base saturation using a regression equation and create a field guide for brown earths, based on the pH value, measured using a Hellige indicator, and the calcium carbonate content. Determination of the pH ranges enabled the classification of brown earth types in the field. These results suggest that pH can be used as a proxy for base saturation especially in the field. A change in the hierarchy of soil (sub)types is proposed for the new Polish Soil Classification.</p>


2019 ◽  
Author(s):  
A.A. Tereshkina ◽  
N.F. Pshenichnikova ◽  
A.N. Bugaets ◽  
O.M. Golodnaya ◽  
S.M. Krasnopeev

В работе приведены предварительные результаты создания цифровой почвенной карты для бассейна р. Правая Соколовка, территории Верхнеуссурийского стационара (ВУС) ФНЦ Биоразнообразия наземной биоты Восточной Азии ДВО РАН 1: 50 000. По природным условиям территория типична для среднегорного пояса, представляет собой характерный низкосреднегорный участок южного СихотэАлиня. Климат района формируется под влиянием восточноазиатского муссона. В качестве топографической основы использована цифровая модель рельефа с пространственным разрешением 30 м (SRTM30), план лесонасаждений Верхнеуссурийского стационара, геологическая карта М 1: 200 000. Основными единицами карты являются почвенные подтипы. Номенклатура почв дана по региональной классификации Г. И. Иванова, выполнена адаптация к современной почвенной классификации Российской Федерации и проведена корреляция с номенклатурой почв Всемирной реферативной базой почвенных ресурсов (WRB). Каждый почвенный ареал включает данные по условиям формирования почв на уровне подтипа. Всего выделено десять подтипов. Показано, что в почвеннорастительном покрове четко выражена вертикальная зональность, представленная двумя почвеннорастительными поясами: горных буротаежных и горноподзолистых почв темнохвойных лесов и поясом горнолесных бурых почв хвойношироколиственных лесов. В поясе темнохвойных лесов в пределах высот 800 1000 м распространены горные ржавоземы грубогумусовые иллювиальногумусированные, составляющие 23,8 от общей площади бассейна. В поясе хвойношироколиственных лесов в основном распространены буроземы (70 от общей площади водосбора). Среди почв пойменных ландшафтов преобладают аллювиальные серогумусовые (дерновые) типичные. На основе информации по генетическим горизонтам создана база данных гидрофизических характеристик почв. По литературным источникам создана база данных физических характеристик почв (гранулометрический состав, глубина, вес, содержание гумуса) по генетическим горизонтам почвенных профилей (45 разрезов). С помощью алгоритмов обработки пространственных данных выполнен анализ численных характеристик морфометрии рельефа (средняя высота, уклон, площадь) почвенных ареалов.The digital soil map (1: 50 000) of the Right Sokolovka River basin the territory of the Upper Ussurian experimental station of the Centre of Biodiversity of the terrestrial biota of East Asia, FEB RAS. The main map units are soil subtypes. The soil nomenclature is given according to the regional classification, the adaptation to the modern soil classification of the Russian Federation was carried out and correlation with the soil nomenclature by the World Reference Base of Soil Resources was made. The calculation and preliminary analysis of the numerical characteristics of the morphometry of the topography of the soil areas has been performed.


CATENA ◽  
2018 ◽  
Vol 163 ◽  
pp. 184-195 ◽  
Author(s):  
Abdenna Deressa ◽  
Markku Yli-Halla ◽  
Muktar Mohamed ◽  
Lemma Wogi

2022 ◽  
pp. 096703352110618
Author(s):  
Orlando CH Tavares ◽  
Tiago R Tavares ◽  
Carlos R Pinheiro Junior ◽  
Luciélio M da Silva ◽  
Paulo GS Wadt ◽  
...  

The southwestern region of the Amazon has great environmental variability, presents a great complexity of pedoenvironments due to its rich variability of geological and geomorphological environments, as well as for being a transition region with other two Brazilian biomes. In this study, the use of pedometric tools (the Algorithms for Quantitative Pedology (AQP) R package and diffuse reflectance spectroscopy) was evaluated for the characterization of 15 soil profiles in southwestern Amazon. The AQP statistical package—which evaluates the soil in-depth based on slicing functions—indicated a wide range of variation in soil attributes, especially in the superficial horizons. In addition, the results obtained in the similarity analysis corroborated with the description of physical, chemical components and oxide contents in-depth, aiding the classification of soil profiles. The in-depth characterization of visible-near infrared spectra allowed inference of the pedogenetic processes of some profiles, setting precedents for future work aiming to establish analytical strategies for soil classification in southwestern Amazon based on spectral data.


2014 ◽  
Vol 6 (22) ◽  
pp. 8930-8939 ◽  
Author(s):  
Aderval S. Luna ◽  
Igor C. A. Lima ◽  
Werickson F. C. Rocha ◽  
Joyce R. Araújo ◽  
Alexei Kuznetsov ◽  
...  

Soil classification is crucial for its cultivation preparation in countries that export several agricultural commodities.


Soil Research ◽  
1983 ◽  
Vol 21 (4) ◽  
pp. 343 ◽  
Author(s):  
RJ Coventry ◽  
WT Williams

Numerical methods have been used to examine an existing and accepted field classification of 48 profiles of red, yellow, and grey earths (mainly Alfisols) from central north Queensland. The three-dimensional soils data (sites by depths by descriptors, which may be mixed in type) were converted to a form which appeared to the computer as a two-dimensional set of profiles by attributes. The soils data were from independent depth intervals, and no assumptions were made about the inter-relationships among soil layers tvithin a profile; nor were the values of any of the soil attributes weighted. In order to consider shallow profiles on the same total depth basis as the deep profiles, the absence of a soil horizon or sampling interval at depth has been regarded as a positive attribute in the numerical classification. Comparison of the traditional field classification and a numerical classification of the same soils dataset showed that certain soil attributes played an important role in both classifications. The most striking difference between them was the relative importance of soil colour attributes, from which it might be argued that field pedologists have assigned to colour a weight out of proportion to its real importance in soil classification. However, this attribute carries additional information about the mineral constituents and hydrological regimes of the soils, and represents information known to, and used by, the field pedologist but not revealed to the computer. The essential subjectivity in the choice of attributes for soil classification is demonstrated.


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