Modeling seasonal soil moisture dynamics in gley soils in relation to groundwater table oscillations in eastern Croatia

CATENA ◽  
2022 ◽  
Vol 211 ◽  
pp. 105987
Author(s):  
Vedran Krevh ◽  
Vilim Filipović ◽  
Lana Filipović ◽  
Valentina Mateković ◽  
Dragutin Petošić ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Groundwater Table ◽  
Soil Moisture Dynamics ◽  
Moisture Dynamics

Soil moisture dynamics and implications for irrigation of farmland with a deep groundwater table

2017 ◽  
Vol 192 ◽  
pp. 138-148 ◽  
Author(s):  
Xudong Li ◽  
Yong Zhao ◽  
Weihua Xiao ◽  
Mingzhi Yang ◽  
Yanjun Shen ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Groundwater Table ◽  
Deep Groundwater ◽  
Soil Moisture Dynamics ◽  
Moisture Dynamics

scholarly journals Event and seasonal hydrologic connectivity patterns in an agricultural headwater catchment

2021 ◽  
Vol 25 (4) ◽  
pp. 2327-2352
Author(s):  
Lovrenc Pavlin ◽  
Borbála Széles ◽  
Peter Strauss ◽  
Alfred Paul Blaschke ◽  
Günter Blöschl
Keyword(s):  
Soil Moisture ◽  
Spatial Organization ◽  
Groundwater Table ◽  
Peak Time ◽  
Spatial And Temporal Patterns ◽  
Topographic Wetness Index ◽  
Event Scale ◽  
Soil Moisture Dynamics ◽  
Moisture Dynamics ◽  
Headwater Catchment

Abstract. Connectivity of the hillslope and the stream is a non-stationary and non-linear phenomenon dependent on many controls. The objective of this study is to identify these controls by examining the spatial and temporal patterns of the similarity between shallow groundwater and soil moisture dynamics and streamflow dynamics in the Hydrological Open Air Laboratory (HOAL), a small (66 ha) agricultural headwater catchment in Lower Austria. We investigate the responses to 53 precipitation events and the seasonal dynamics of streamflow, groundwater and soil moisture over 2 years. The similarity, in terms of Spearman correlation coefficient, hysteresis index and peak-to-peak time, of groundwater to streamflow shows a clear spatial organization, which is best correlated with topographic position index, topographic wetness index and depth to the groundwater table. The similarity is greatest in the riparian zone and diminishes further away from the stream where the groundwater table is deeper. Soil moisture dynamics show high similarity to streamflow but no clear spatial pattern. This is reflected in a low correlation of the similarity with site characteristics. However, the similarity increases with increasing catchment wetness and rainfall duration. Groundwater connectivity to the stream on the seasonal scale is higher than that on the event scale, indicating that groundwater contributes more to the baseflow than to event runoff.

scholarly journals Event and seasonal hydrologic connectivity patterns in an agricultural headwater catchment

2020 ◽  
Author(s):  
Lovrenc Pavlin ◽  
Borbála Széles ◽  
Peter Strauss ◽  
Alfred Paul Blaschke ◽  
Günter Blöschl
Keyword(s):  
Soil Moisture ◽  
Shallow Groundwater ◽  
Groundwater Table ◽  
Peak Time ◽  
Spatial And Temporal Patterns ◽  
Topographic Wetness Index ◽  
Event Scale ◽  
Soil Moisture Dynamics ◽  
Moisture Dynamics ◽  
Headwater Catchment

Abstract. Connectivity of the hillslope and the stream is a non stationary and non linear phenomenon dependent on many controls. The objective of this study is to identify these controls by examining the spatial and temporal patterns of the similarity between shallow groundwater and soil moisture dynamics and streamflow dynamics in the Hydrological Open Air Laboratory (HOAL), a small (66 ha) agricultural headwater catchment in Lower Austria. We investigate the responses to 53 precipitation events and the seasonal dynamics of streamflow, groundwater and soil moisture over two years. The similarity, in terms of Spearman correlation coefficient, hysteresis index and peak-to-peak time, of groundwater to streamflow shows a clear spatial organisation, which is best correlated to topographic position index, topographic wetness index and depth to the groundwater table. The similarity is greatest in the riparian zone and diminishes further away from the stream where the groundwater table is deeper. Soil moisture dynamics show high similarity to streamflow but no clear spatial pattern. This is reflected in a low correlation of the similarity to site-characteristics, however, the similarity increases with increasing catchment wetness and rainfall duration. Groundwater connectivity to the stream on the seasonal scale is higher than that on the event scale indicating that groundwater contributes more to the baseflow than to event runoff.

Soil moisture dynamics of different land-cover types in the blacksoil regions of China

2009 ◽  
Vol 17 (2) ◽  
pp. 256-260 ◽  
Author(s):  
Feng WANG ◽  
Shu-Qi WANG ◽  
Xiao-Zeng HAN ◽  
Feng-Xian WANG ◽  
Ke-Qiang ZHANG
Keyword(s):  
Soil Moisture ◽  
Land Cover ◽  
Soil Moisture Dynamics ◽  
Land Cover Types ◽  
Moisture Dynamics

Soil moisture dynamics with hydro-climatological parameters at different soil depths

2016 ◽  
Vol 75 (2) ◽  
Author(s):  
Muhammad Ajmal ◽  
Muhammad Waseem ◽  
Waqas Ahmad ◽  
Tae-Woong Kim
Keyword(s):  
Soil Moisture ◽  
Soil Moisture Dynamics ◽  
Moisture Dynamics

scholarly journals Probabilistic inference of ecohydrological parameters using observations from point to satellite scales

2018 ◽  
Vol 22 (6) ◽  
pp. 3229-3243 ◽  
Author(s):  
Maoya Bassiouni ◽  
Chad W. Higgins ◽  
Christopher J. Still ◽  
Stephen P. Good
Keyword(s):  
Soil Moisture ◽  
Water Balance ◽  
Soil Water ◽  
Dry Season ◽  
Soil Water Balance ◽  
Rainfall Pattern ◽  
Site Specific ◽  
Soil Moisture Dynamics ◽  
Soil Saturation ◽  
Moisture Dynamics

Abstract. Vegetation controls on soil moisture dynamics are challenging to measure and translate into scale- and site-specific ecohydrological parameters for simple soil water balance models. We hypothesize that empirical probability density functions (pdfs) of relative soil moisture or soil saturation encode sufficient information to determine these ecohydrological parameters. Further, these parameters can be estimated through inverse modeling of the analytical equation for soil saturation pdfs, derived from the commonly used stochastic soil water balance framework. We developed a generalizable Bayesian inference framework to estimate ecohydrological parameters consistent with empirical soil saturation pdfs derived from observations at point, footprint, and satellite scales. We applied the inference method to four sites with different land cover and climate assuming (i) an annual rainfall pattern and (ii) a wet season rainfall pattern with a dry season of negligible rainfall. The Nash–Sutcliffe efficiencies of the analytical model's fit to soil observations ranged from 0.89 to 0.99. The coefficient of variation of posterior parameter distributions ranged from < 1 to 15 %. The parameter identifiability was not significantly improved in the more complex seasonal model; however, small differences in parameter values indicate that the annual model may have absorbed dry season dynamics. Parameter estimates were most constrained for scales and locations at which soil water dynamics are more sensitive to the fitted ecohydrological parameters of interest. In these cases, model inversion converged more slowly but ultimately provided better goodness of fit and lower uncertainty. Results were robust using as few as 100 daily observations randomly sampled from the full records, demonstrating the advantage of analyzing soil saturation pdfs instead of time series to estimate ecohydrological parameters from sparse records. Our work combines modeling and empirical approaches in ecohydrology and provides a simple framework to obtain scale- and site-specific analytical descriptions of soil moisture dynamics consistent with soil moisture observations.

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