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Abstract:In situations where the water table fluctuates during the rainy season the characterization of the impact of system variables on the temporal dynamics of the groundwater (GW) is essential to improve the understanding at catchment or regional scale behaviour of GW. In this study the appropriateness of the statistical parameters; mean, median, the 80 th percentile (PC80), coefficient of variation (CV), correlation coefficient (r), and multiple regression models were assessed to characterize the impact of system variables on the temporal dynamics of hydraulic head relative to ground surface (HH) during rainy seasons. The study was conducted from 1999 to 2003 in the wet tropical Johnstone River catchment (JRC) in north-east Queensland, Australia. Piezometer wells were installed at 32 sites under cropping to 5-90 m depth on different soil types, landscape positions, and varying proximity to surface water bodies (i.e. four system variables). The HH was measured, at least at 10-15 day intervals during 1-5 consecutive rainy seasons. The HH in the 32 wells fluctuated throughout each of the five rainy seasons. The mean HH averaged over the seasons ranged from 1Ð1 to 17Ð2 m across the wells, the median from 0Ð9 to 17Ð3 m, and the PC80 from 0Ð3 to 16Ð1 m. The temporal behaviour of HH characterization by mean of means of HH, the mean of medians of HH, and the mean of PC80 of HH, indicated the HH can be classified to belong to three different groups for each one of these parameters. The impact of the system variables on temporal dynamics, explored using multiple regression procedure, indicated that the model for median was marginally better than mean. The CV was found to be most appropriate parameter to characterize the impact of GW system variable (aquifer type), a component of the system variables, on temporal dynamics. The interactions of GW (i) belonging to different GW system and (ii) at shoulder with footslope in a landscape were best characterized by simple linear correlations.
Abstract:In situations where the water table fluctuates during the rainy season the characterization of the impact of system variables on the temporal dynamics of the groundwater (GW) is essential to improve the understanding at catchment or regional scale behaviour of GW. In this study the appropriateness of the statistical parameters; mean, median, the 80 th percentile (PC80), coefficient of variation (CV), correlation coefficient (r), and multiple regression models were assessed to characterize the impact of system variables on the temporal dynamics of hydraulic head relative to ground surface (HH) during rainy seasons. The study was conducted from 1999 to 2003 in the wet tropical Johnstone River catchment (JRC) in north-east Queensland, Australia. Piezometer wells were installed at 32 sites under cropping to 5-90 m depth on different soil types, landscape positions, and varying proximity to surface water bodies (i.e. four system variables). The HH was measured, at least at 10-15 day intervals during 1-5 consecutive rainy seasons. The HH in the 32 wells fluctuated throughout each of the five rainy seasons. The mean HH averaged over the seasons ranged from 1Ð1 to 17Ð2 m across the wells, the median from 0Ð9 to 17Ð3 m, and the PC80 from 0Ð3 to 16Ð1 m. The temporal behaviour of HH characterization by mean of means of HH, the mean of medians of HH, and the mean of PC80 of HH, indicated the HH can be classified to belong to three different groups for each one of these parameters. The impact of the system variables on temporal dynamics, explored using multiple regression procedure, indicated that the model for median was marginally better than mean. The CV was found to be most appropriate parameter to characterize the impact of GW system variable (aquifer type), a component of the system variables, on temporal dynamics. The interactions of GW (i) belonging to different GW system and (ii) at shoulder with footslope in a landscape were best characterized by simple linear correlations.
areas contract and expand within and between events. Variable source areas are a function of topography, The targeting of critical surface runoff-producing zones should soils, geology, climate, and management. Within VSA account for the influence of subsurface soil characteristics. In this study we assessed the runoff response of contrasting colluvial and hydrology, surface runoff generation is classified as eiresidual soils. The study was conducted along two hillslopes within a ther infiltration excess or saturation excess (Sklash, 39.5-ha mixed land use watershed in Pennsylvania. Six sites (four 1990). Infiltration excess, or Hortonian overland flow, colluvial, two residual) were monitored for runoff, hydraulic head, occurs when rainfall intensities exceed the infiltration water table depth, and soil water content. A total of 111 rainfall events capacity of a soil. Variable infiltration capacities in the were monitored during the periods of July to December 2000, April landscape cause partial areas of infiltration-excess surto December 2001, and April to December 2002. Two high-intensity face runoff (Betson, 1964). Saturation excess occurs (5-min peak Ͼ 8 cm h Ϫ1) events had return periods of 2.5 and 4 yr. when the water table rises to saturate the soil profile, The colluvial soils are somewhat poorly and moderately well drained filling storage zones and minimizing infiltration capacwith fragipans and high clay content (37-44%) argillic horizons (fine, ity. Ideally, P management strategies should differ demixed, semiactive, mesic Aquic Fragiudalfs); the residual soils are well drained with moderate clay content (24%) argillic horizons (fine-pending on the dominant surface runoff generation loamy, mixed, semiactive, mesic Typic Hapludults). Across all events, mechanism in a watershed. An infiltration-excess-based overall runoff yields averaged 2.4% from the four colluvial sites and approach should target soils with a low infiltration ca-0.01% from the two residual sites. The two colluvial sites with the pacity, while a saturation-excess-based strategy should greatest runoff production were located at the base of a primarily target near-stream and other zones that are subject to colluvial hillslope. The largest events at these sites occurred during surface saturation (Gburek et al., 1996) regardless of periods of surface saturation (soil surface to a depth of at least 30 cm). infiltration capacity at these sites. These results suggest that nonwinter P management for these residual The saturation-excess mechanism has been studied soils should focus on rare, large events. Nutrient management planning primarily under forest and grassland vegetation (Bonell, could be improved if runoff estimation methods were to better inte-1993). In most temperate forested landscapes, infiltragrate information on subsurface and upslope soil hydrologic properties.
Soil wetness and the interactions between soil and water influence the potential uses of soil and must be considered when making decisions regarding soil use and management. The strategic placement of hydrologic monitoring instrumentation on a benchmark soilscape is critical toward providing the users of soil information with reliable predictability of water movement at the soil-water interface. A hydropedologically significant study site that satisfies the benchmark soilscape criteria as defined by the Natural Resources Conservation Service (NRCS) was selected for this research. Because of the high cost of performing investigations and research, benchmark soils are targeted and the information gleaned from those studies is extrapolated to other like regions. The area of this research consists of a 53 ha catchment located approximately 15 km east of Morgantown, West Virginia in Coopers Rock State Forest. The catchment is in a mature deciduous forest in Major Land Resource Area 127. Piezometric data confirm that the depth to the water is consistent with the first encounter of redoximorphic depletions as identified in the soil profile descriptions. Results reveal that water is present in the layer immediately above the fragipan zone at all hillslope locations with the exception of the backslope, at which results are mixed and can be attributed to the sub-landforms commonly encountered across the backslope. As hypothesized, the footslope location exhibits a higher frequency and duration of saturation than any other position on the hillslope.
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