Temat: loamy sand - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Seasonal changes in labile organic matter, mineral nitrogen, and N2O emission in a loamy sand Orthic Luvisol cultivated under three management practices
Autorzy:: Dabek-Szreniawska, M.
Balashov, E.
Powiązania:: https://bibliotekanauki.pl/articles/25164.pdf
Data publikacji:: 2007
Wydawca:: Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:: organic matter
soil quality
emission
loamy sand
labile organic matter
management practice
nitrogen dioxide
seasonal change
growing period
Źródło:: International Agrophysics; 2007, 21, 2
0236-8722
Pojawia się w:: International Agrophysics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Dynamics of competitive sorption of heavy metal cations in mineral soils
Autorzy:: Gaszczyk, R
Muszynski, P.
Powiązania:: https://bibliotekanauki.pl/articles/1401867.pdf
Data publikacji:: 2000
Wydawca:: Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:: mineral soil
Orthic Luvisol
weakly loamy sand
competitive sorption
soil
metal cation
loess
grey-brown podzolic soil
dynamics
heavy metal
Opis:: Model research on competitive sorption of heavy metal cations (Cu2+ , Zn2+ , Ni2+ ,Co2+ , Cd2+ and Cr3+ ) with Ph2+cations was carried out in the followingmineral soils: grey-brown podzolic derived from loess (Orthic Luvisols)using a dynamic method.Investigation on the course and the range of the sorption from the two- component solutions allowed to determine mobility of individual heavy metal cations in relation to lead (II) cations.At the same time, it allowed to evaluate their phyto-availability. Elements, which most easily entered sorptive complexes of both of the investigated soils were copper (II) and chrominium (III) cations. The rest of the cations showed different energy levels of entrance with simultaneous sorption with lead (II) cations. During competitive sorption of heavy metal cations, i.e. at saturation the columns with two component solution, the presence of the second, opposite process namely desorption of the following cations from the soil:Co2+ , Zn2+ , Ni2+ , and Cd2+ was observed. Desorption levels were characteristic for particular cations and depended on the type of soil.
Źródło:: Acta Agrophysica; 2000, 35; 69-76
1234-4125
Pojawia się w:: Acta Agrophysica
Dostawca treści:: Biblioteka Nauki

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Tytuł:: Field validation of DNDC and SWAP models for temperature and water content of loamy and sandy loam Spodosols
Autorzy:: Balashov, E.
Buchkina, N.
Rizhiya, E.
Farkas, C.
Powiązania:: https://bibliotekanauki.pl/articles/972349.pdf
Data publikacji:: 2014
Wydawca:: Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:: field validation
agroecosystem
modelling
soil water content
soil temperature
DNDC model
SWAP model
temperature
water content
loamy sand
sandy loam
Spodosol
Opis:: The objectives of the research were to: fulfil the preliminary assessment of the sensitivity of the soil, water, atmosphere, and plant and denitrification and decomposition models to variations of climate variables based on the existing soil database; validate the soil, water, atmosphere, and plant and denitrification and decomposition modelled outcomes against measured records for soil temperature and water content. The statistical analyses were conducted by the sensitivity analysis, Nash-Sutcliffe efficiency coefficients and root mean square error using measured and modelled variables during three growing seasons. Results of sensitivity analysis demonstrated that: soil temperatures predicted by the soil, water, atmosphere, and plant model showed a more reliable sensitivity to the variations of input air temperatures; soil water content predicted by the denitrification and decomposition model had a better reliability in the sensitivity to daily precipitation changes. The root mean square errors and Nash-Sutcliffe efficiency coefficients demonstrated that: the soil, water, atmosphere, and plant model had a better efficiency in predicting seasonal dynamics of soil temperatures than the denitrification and decomposition model; and among two studied models, the denitrification and decomposition model showed a better capability in predicting the seasonal dynamics of soil water content.
Źródło:: International Agrophysics; 2014, 28, 2
0236-8722
Pojawia się w:: International Agrophysics
Dostawca treści:: Biblioteka Nauki

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