0000238480 00000 n An irrigation event consisted of manually maintaining an approximately 7‐cm pond of water on the lysimeter surface for a period of time (i.e., irrigation ponding time). 0000233513 00000 n Consequently, the conceptual model may be considered parsimonious, i.e., it reflects only the dominant processes contributing to DP. /CreationDate (D:20201114073043-00'00') /Resources 71 0 R /MediaBox [0.0 0.0 595.32 841.92] Responses of soil water percolation to dynamic interactions among rainfall, antecedent moisture and season in a forest site. Soil moisture at 0.6 m was not used for the lysimeters with 0.6‐m water table depth. The average annual rainfall is 490 mm, with slightly higher rainfall in winter. %���� 0000135618 00000 n [22] The CART method was applied to analyze nonlinear relations between DP at the event scale and the variables used in the correlation analysis. >> /StructParents 6 [44] Group C (Figure 4) had the highest percolation rates (112.6 ± 72 mm per event, RMSE) and was characterized by the Sandmount sand soil type that had the highest final infiltration rate (if = 13.3 mm/h). However, the waste of enormous water which for instance occupied 53.2% of the irrigation water in this study was not conducive to the sustainable utilization of water resources in the arid oasis. /Contents 102 0 R endobj /CropBox [0.0 0.0 595.32 841.92] 0000231209 00000 n 0000237420 00000 n Please check your email for instructions on resetting your password. /Rotate 0 0000215959 00000 n Seventy‐two DP events were classified into Group B (i.e., all four lysimeters with the Nanneella fine sandy loam soil type). >> Conversion from dielectric constant to water content was based on Topp's equation [Topp et al., 1980]. /Contents 118 0 R Modeling the biomass production of the biofuel crop Miscanthus x giganteus , to understand and communicate benefits and risks in cultivation. 0000007290 00000 n As parameter GWD0 is conceptually soil‐depended, it needs to be estimated for other regions. [45] On the basis of the CART analysis, the final infiltration rate, the duration of irrigation, and the water table depth were identified as the key variables describing DP at the event scale. endobj /MediaBox [0.0 0.0 595.32 841.92] 0000239894 00000 n /StructParents 20 Geophysics, Biological /Resources 189 0 R 10.1061/(ASCE)1090-0241(2003)129:11(1040). /Group 85 0 R 0000239302 00000 n endobj 0000231132 00000 n Quantification of soil water balance components based on continuous soil moisture measurement and the Richards equation in an irrigated agricultural field of a desert oasis. Deep percolation decreased with higher amounts of water stored in the topsoil between saturation and field capacity. /CropBox [0.0 0.0 595.32 841.92] >> << For the process‐based model, soil moisture data were used to calibrate the model and the model performance was independently evaluated using DP at the seasonal scale. Results are presented of a study undertaken to evaluate three alternative methods of estimating percolation below the root zone when knowledge about the history of applied water and evapotranspiration are not available. 0000001442 00000 n /Rotate 0 0000028435 00000 n 0000158610 00000 n Oceanography, Interplanetary (a) An aboveground view of the lysimeter facility during irrigation event. /Type /Page Also note that negative DP (i.e., net capillary rise) is not possible with the proposed formulation. Thus initial soil moisture conditions prior to irrigation were not expected to have a major influence on deep percolation. �y}9�� �`�P�r���Y�����4$v��|ŹeRY��Ӷ@nhM%X���v��[�{?�z?���!A�3~���t���3d�w���� 0000223855 00000 n /Group 197 0 R /Parent 2 0 R 0.7. (b) Underground view of the lysimeter facility showing instrumentation into the side of lysimeter cores: (top) Mariotte bottles for controlling water table and measuring capillary rise, (middle) drainage measuring cylinders, (bottom) runoff collecting containers, and (time domain reflectometry) soil moisture instrumentation into the lysimeter cores. 8 0 obj >> For most of the lysimeters, DP at the seasonal scale was overestimated. For most of the soils DP tended to increase as the water table depth increased. 0000218284 00000 n Eight soil hydraulic parameters according to Mualem [1976] and van Genuchten [1980], i.e., alpha, n, tortuosity parameter l, and saturated hydraulic conductivity for both the topsoil and the subsoil, were inversely modeled using daily soil moisture data measured at five depths (0.1, 0.2, 0.3, 0.4, and 0.6 m). t�,G�Cl�r��J���7_yߚ���$�M�]d3,�&��QB�L0o9�8�,���4��g�_�R2�r�[�#�2�P�7|p��d�T*#�"����s=u�=�N��|��z�df�+�����R6c�� �� \�b�e�jL0�R]�n!�ܭ�C;�2�t*�k��\wiy�s���#"u|S=z[�4H������D�q������k��Yd�:T�ϖ��eN\��L��g�=�aN���$W��K52��n!y����*�cUp|vԄ����@�K�]�s/v�_���SUB\����0[yk�J:5vW��W.���p�F����O�ȑJj��[a��Cj��r٥���%���b�٘��#�F %PDF-1.5 %���� /Group 173 0 R /Font 198 0 R Deep percolation was measured as the difference between water leaving (drainage) and entering (capillary rise) the base of the lysimeter, with net water leaving the lysimeter recorded as positive DP (Figures 2b and 2c). It is likely that model predictions would have been substantially worse if the model had to predict infiltration and surface runoff (using a Dirichlet type of boundary condition), rather than having infiltration specified as a boundary condition. /Contents 131 0 R /Subject saturated store in the root or soil zone using an approximation of Darcy flow and (2) the excess store. Only a portion of the total soil water is readily available for plant use. This report suggests that the relative uncertainty associated with this parameter may be 30%. /Annots [] Deep percolation can be determined from the parameters of the soil water balance be it under rain-fed or irrigated condition. 0000230759 00000 n /Tabs /S The former process dominated the beginning of the irrigation season and the latter dominated the end of the irrigation season. 0000091739 00000 n Water was not allowed to build up on the soil surface and any excess water from rainfall or irrigation that did not infiltrate was removed instantaneously. 0000243521 00000 n /Rotate 0 22 0 obj However, the loamy and clayey soils were predominantly represented in the data set (Group A, 342 DP events, Figure 4). This process usually occurs in the vadose zone below plant roots and, is often expressed as a flux to the water table surface. /StructParents 16 << This was necessary because of high clay content in many of the subsoils. The decision tree is obtained by recursive data partitioning and thereby splitting of the data set into increasingly smaller subsets based on the independent variables. /StructParents 5 0000238838 00000 n /Type /Page Groundwater recharge or deep drainage or deep percolation is a hydrologic process, where water moves downward from surface water to groundwater. 0000245019 00000 n Geophysics, Geomagnetism

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