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Ahmed, Akram
- Influence of Canopy Architecture on Stemflow in Agroforestry Trees in Western Himalayas
Abstract Views :224 |
PDF Views:72
Authors
Affiliations
1 Indian Grassland and Fodder Research Institute, Jhansi 284 003, IN
2 Central Soil and Water Conservation Research and Training Institute, 218 Kaulagarh Road, Dehradun 248 195, IN
1 Indian Grassland and Fodder Research Institute, Jhansi 284 003, IN
2 Central Soil and Water Conservation Research and Training Institute, 218 Kaulagarh Road, Dehradun 248 195, IN
Source
Current Science, Vol 109, No 4 (2015), Pagination: 759-764Abstract
Rainfall event on a tree can be partitioned into throughfall, interception loss and stemflow. In this study, stemflow was measured for 39 rainfall events in 5-year-old plantations of 3 trees each, belonging to Morus alba and Grewia optiva in Dehradun, India. Diameter of selected Morus and Grewia trees varies from 7 to 9.3 and 8.12 to 10 cm respectively, whereas height varies from 4 to 4.5 and 5.5 to 6.5 m respectively. The minimum and maximum rainfall events recorded during the study period were 1.01 and 121.70 mm per day respectively. When the rainfall magnitude was less than or equal to 50 mm and more than 50 mm, stemflow volume from Morus was approximately 2.72 and 1.85 fold higher respectively, compared to Grewia. Maximum stemflow volume recorded for Morus and Grewia was 48,065 and 30,633 ml with respect to rainfall magnitude of 109.58 and 121.70 mm respectively. The generation of higher stemflow volume in case of Morus is due to concave orientation of branches and leaves. Results showed that a significant amount of nutrients leached from Grewia and Morus through stemflow process.Keywords
Canopy Architecture, Interception Loss, Rainfall, Stemflow, Throughfall.- Scaling of Hydraulic Functions in Heterogeneous Soil Using Nonlinear Least Squares Minimization Method
Abstract Views :264 |
PDF Views:69
Authors
Affiliations
1 Division of Farm Machinery and Post Harvest Technology, Indian Grassland and Fodder Research Institute, Jhansi 284 003, IN
1 Division of Farm Machinery and Post Harvest Technology, Indian Grassland and Fodder Research Institute, Jhansi 284 003, IN
Source
Current Science, Vol 114, No 05 (2018), Pagination: 1046-1054Abstract
Presenting soil heterogeneity precisely in various spatial scales is the main key to simulate water and solute transport through it. The method described by Richards is mostly used to study water flow through vadose zone. It requires spatial representation of hydraulic functions and water retention relationship in the soil. To represent the spatial relationship of soil hydraulic functions, scaling approach is being used since the last few decades. In this study, a simple scaling method using nonlinear least squares minimization technique has been used to scale soil matric potential, hydraulic conductivity as well as simultaneous scaling of soil matric potential and hydraulic conductivity data. Simultaneous scaling is necessary as it reduces the volume of data by producing a single set of scale factors for hydraulic functions in a heterogeneous soil. Van Genuchten’s semi-empirical expressions were used in this study to parameterize soil hydraulic functions. Results showed that correlation coefficient from raw and descaled data was superior when soil matric potential and hydraulic conductivity data were scaled separately than simultaneously. Improvement of correlation coefficient in simultaneous scaling can be obtained by adding more weight to the soil matric potential data than unsaturated hydraulic conductivity data, which enhances the overall correlation coefficient in simultaneously scaling. Statistical analysis of the scale factors showed that they are lognormally distributed. Scale factors calculated by solving simple equations obtained using the method described in this study can be used to simulate water movement through heterogeneous soil conditions using HYDRUS model.Keywords
Effective Saturation, Lognormal Distribution, Scaling, Soil Matric Potential, Unsaturated Hydraulic Conductivity.References
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- Nasta, P., Kamai, T., Chirico, G., Hopmans, J. W. and Romano, N., Scaling soil water retention functions using particle-size distribution. J. Hydrol., 2009, 374(3), 223–234.
- Nasta, P., Romano, N., Assouline, S., Vrugt, J. A. and Hopmans, J. W., Prediction of spatially variable unsaturated hydraulic conductivity using scaled particle-size distribution functions. Water Resour. Res., 2013, 49, 4219–4229.
- Stoffregen, H. and Wessolek, G., Scaling the hydraulic functions of a water repellent sandy soil. Int. Agrophys., 2014, 28, 349–358.
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- Assessment of Rainfall Variability and its Impact on Groundnut Yield in Bundelkhand Region of India
Abstract Views :229 |
PDF Views:71
Authors
Affiliations
1 ICAR Research Complex for Eastern Region, ICAR Parisar, P. O. Bihar Veterinary College, Patna 800 014, IN
2 Indian Grassland and Fodder Research Institute, Near Pahuj Dam, Gwalior Road, Jhansi 284 003, IN
1 ICAR Research Complex for Eastern Region, ICAR Parisar, P. O. Bihar Veterinary College, Patna 800 014, IN
2 Indian Grassland and Fodder Research Institute, Near Pahuj Dam, Gwalior Road, Jhansi 284 003, IN
Source
Current Science, Vol 117, No 5 (2019), Pagination: 794-803Abstract
Bundelkhand region, one of the vulnerable areas in central India, is prone to frequent drought and crop failure due to annual rainfall variability. In this study, long-term (113 years) fine resolution (0.25° × 0.25°) daily gridded rainfall data has been analysed to depict a spatial variation of annual rainfall over Bundelkhand. An increase in annual rainfall has been observed from north to south of the study area. A declining trend varying from 0.49 to 2.16 mm per year is observed in annual rainfall time series in most parts of the study area. Trend analysis of monsoon rainfall shows overall declining trend over the study area. Rainfall events are categorized in various classes and their spatial trends over Bundelkhand are depicted. Kharif crop calendar (July–September) as well as its yield in India, including Bundelkhand, is primarily based on monsoonal rainfall parameters. A study on the relationship between groundnut yield and monsoonal rainfall parameters for Jhansi district in Bundelkhand shows highest correlation (0.46) between groundnut yield and rainfall class 3 events (16 ≤ rainfall intensity, mm day–1 < 32) occurred in a year followed by cumulative rainfall amount precipitated during June–July (JJ). The frequency of rainfall class 5 type (64 ≤ rainfall intensity, mm day–1 < 128) as well as a delay in onset of monsoonal rainfall have shown a negative correlation with groundnut yield. This study depicts rainfall pattern over the study area and identifies the vulnerable areas that are likely to experience more water stress due to rainfall variability.-Keywords
Bundelkhand Region, Groundnut Yield, Indian Monsoon Rainfall, Rainfall Intensity Class.References
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