Environmental Advances

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dc.contributor.author Bereket Geberselassie Assa
dc.date.accessioned 2025-06-13T06:21:11Z
dc.date.available 2025-06-13T06:21:11Z
dc.date.issued 2024-01
dc.identifier.issn 978-0-7844-1179-7
dc.identifier.uri http://hdl.handle.net/123456789/2405
dc.description.abstract Effective water resource management and sustainable agricultural practices are contingent upon a thorough understanding of nitrate dynamics. This study investigates the utilization of seasonal average cropland runoff observations to improve the prediction accuracy of nitrate runoff loads to surface water originating from cropping zones. By integrating data from various sources, including seasonal rainfall/runoff observations and cropland parameters, the study explores the complex relationship between crop biomass growth, nitrogen fer tilizer application, and seasonal rainfall over cropland. Monthly average observations of cropping zone rainfall/ runoff in the cropping zone are analyzed to understand the response of seasonal crop biomass to nitrogen fer tilizer application and seasonally calibrated rainfall/runoff in the cropland watershed. The study demonstrates the prototypical runoff observation from cultivated areas and statistically estimates seasonal runoff at down stream stream outlets. This shows a strong correlation with an R 2 of 0.9742 with a p-value less than 0.001 for seasonal rainfall climate parameters. Seasonal cropland runoff observations from EWX lite are presented for model calibration at downstream outlets, based on regional crop calendars, facilitating the estimation of nitrate loading to surface water and nitrate contamination from cropping zones. The findings reveal distinct cropping zones, particularly zones 5, 6, 11, and 13, which significantly contribute, each exceeding 50 mg/l of leaching load to groundwater. Moreover, more than ten zones surpass the threshold of 50mg/l in nitrate loading to surface water. These quantitative insights provide valuable spatial information regarding nitrate runoff relationships within the watershed, enabling the identification of specific zones with heightened nitrate contributions and offering actionable solutions for promoting sustainable agriculture and refining water resource management strategies. en_US
dc.description.sponsorship AMU en_US
dc.language.iso en en_US
dc.subject Nitrate contamination Geographically Weighted Regression (GWR) model Cropland Watershed Earth observation Runoff and leaching coefficients Sustainable agriculture en_US
dc.title Environmental Advances en_US
dc.title.alternative Assessing Nitrate Leaching and Runoff Coefficients in the Dynamic Interplay of Seasonal Crop Biomass: A Study of Surface and Groundwater Nitrate Contamination in the Bilate Cropland Watershed en_US
dc.type Other en_US


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