Soil and Water Research, 2012 (vol. 7), issue 2
Simulation of soil organic carbon changes in Slovak arable land and their environmental aspectsOriginal Paper
Gabriela Barančíková, Jarmila Makovníková, Rastislav Skalský, Zuzana Tarasovičová, Martina Nováková, Ján Halás, Monika Gutteková, Štefan Koco
Soil & Water Res., 2012, 7(2):45-51 | DOI: 10.17221/38/2011-SWR 
One of the key goals of the Thematic Strategy for Soil Protection is to maintain and improve soil organic carbon (SOC) stocks. A decline of SOC stocks is politically perceived as a serious threat to soil quality and functions. A suitable tool for acquiring the information on SOC stock changes is modelling. The RothC-26.3 model was applied for long-term modelling (1970-2007) of the SOC stock in the topsoil of croplands of Slovakia. Simulation results show a gradual increase in the SOC stock in the first phase of modelling (1970-1995) mainly due to higher carbon input in the soil. A significant linear correlation (r = 0.4**, n = 275)...
Effects of soil depth spatial variation on runoff simulation, using the Limburg Soil Erosion Model (LISEM), a case study in Faucon catchment, FranceOriginal Paper
Pooyan RAHIMY
Soil & Water Res., 2012, 7(2):52-63 | DOI: 10.17221/25/2011-SWR
Soil depth is an important parameter for models of surface runoff. Commonly used models require not only accurate estimates of the parameter but also its realistic spatial distribution. The objective of this study was to use terrain and environmental variables to map soil depth, comparing different spatial prediction methods by their effect on simulated runoff hydrographs. The study area is called Faucon, and it is located in the southeast of the French Alps. An additive linear model of "land cover class" and "overland flow distance to channel network" predicted the soil depth in the best way. Regression kriging (RK) used in this model gave better...
Long-term changes in runoff from a small agricultural catchmentOriginal Paper
Kazimierz BANASIK, Leszek HEJDUK
Soil & Water Res., 2012, 7(2):64-72 | DOI: 10.17221/40/2011-SWR
River runoff is an important indicator of environmental changes, which usually include climate and/or land use changes, and is also the basis of catchment water management. This study presents results of monitoring and analysis of 48-year precipitation and runoff from a small agricultural catchment located in central Poland. No land use changes in that period have been reported. Mean monthly distributions of precipitation and runoff for the long-term period showed that July was the wettest month in respect of precipitation and a drier one in respect of runoff, averaging 12.9% and 5.2% of their annual values, respectively. To evaluate the trend of three...
Modelling nitrate concentration of groundwater using adaptive neural-based fuzzy inference systemOriginal Paper
Sayed Farhad MOUSAVI, Mohammad Javad AMIRI
Soil & Water Res., 2012, 7(2):73-83 | DOI: 10.17221/46/2010-SWR
High nitrate concentration in groundwater is a major problem in agricultural areas in Iran. Nitrate pollution in groundwater of the particular regions in Isfahan province of Iran has been investigated. The objective of this study was to evaluate the performance of Adaptive Neural-Based Fuzzy Inference System (ANFIS) for estimating the nitrate concentration. In this research, 175 observation wells were selected and nitrate, potassium, magnesium, sodium, chloride, bicarbonate, sulphate, calcium and hardness were determined in groundwater samples for five consecutive months. Electrical conductivity (EC) and pH were also measured and the sodium absorption...