ORCID Profile
0000-0003-3494-909X
Current Organisation
North Dakota State University
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Publisher: Bangladesh Journals Online (JOL)
Date: 24-09-2014
Abstract: No abstract available.DOI: 0.3329/jbayr.v2i1.20539 Journal of the Bangladesh Association of Young Researchers (JBAYR): Vol.2(1), 2012 & 2013: 33-37
Publisher: Scientific Research Publishing, Inc.
Date: 2023
Publisher: American Society of Agricultural and Biological Engineers
Date: 2020
Publisher: Everant Journals
Date: 16-09-2023
Publisher: Scientific Research Publishing, Inc.
Date: 2022
Publisher: International Institute for Science, Technology and Education
Date: 06-2022
Publisher: Scientific Research Publishing, Inc.
Date: 2023
Publisher: Hasanuddin University, Faculty of Law
Date: 17-12-2022
Abstract: Soil profiles are generally heterogeneous and consist of various horizontal layers due to geological processes, the formation of crusts, or other artificial or man-made activities. To quantify infiltration into these heterogeneous soil profiles, the Modified Green-Ampt Model (MGAM) is a physically-based hydrologic model that can efficiently perform under both steady and unsteady rainfall events. Based on the secondary data, this study sought to determine the effect of changing soil layers (soil textures) on infiltration rates and cumulative infiltrations in in both laboratory and field settings. Different scenarios were analyzed by rearranging soil layers and evaluating their impacts on corresponding infiltration rates and cumulative infiltrations. Simulations were run with HYDROL-INF software environment using MGAM. Three scenarios were considered for a laboratory experiment with two different types of soil texture coupled with five different soil profiles. Similarly, four scenarios were considered for the field experiments with five different types of soil texture couple with eight different soil profiles. The simulated infiltration rates and cumulative infiltrations were found to vary with soil layer change scenarios. The simulated cumulative infiltrations, ponding times, infiltrating rates at ponding, and total depth of wetting front at ponding of a five-layered laboratory soil column were identical for the three scenarios. Simulated cumulative infiltrations were 33.16, 23.65, 21.29, and 42.77 cm, respectively, for scenarios (combinations) 1, 2, 3, and 4 in the eight-layered soil profile in the field scenarios. Infiltration rates among scenarios at ponding were identical (0.46 to 0.53 cm/h) with field scenario data.
Publisher: International Institute for Science, Technology and Education
Date: 11-2022
DOI: 10.7176/CER/14-7-02
Publisher: MDPI AG
Date: 09-07-2023
DOI: 10.3390/W15142518
Abstract: In semi-distributed hydrologic models, it is difficult to account for the impacts of wetlands on hydrologic processes, as they are based on lumped, subbasin-scale wetland concepts. It is a challenge to incorporate the influences of in idual small wetlands into watershed-scale models by using lumped parameterization. The objective of this study was to improve watershed-scale hydrologic modeling by taking into account real wetland features during the wetland parameterization. To achieve this objective, a joint modeling framework was proposed to couple a surface delineation algorithm with a semi-distributed hydrologic model and then applied to the Upper Turtle River watershed in North Dakota, USA. The delineation algorithm identified the topographic properties of wetlands, which were further utilized for wetland parameterization. A nonlinear area–storage relationship was determined and used in the estimation of the wetland-related parameters. The results demonstrated that the new joint modeling approach effectively avoided misestimating the wetland-related parameters by accounting for real topographic characteristics (e.g., storage, ponding area, and contributing area) of identified wetlands and their influences, and provided improved modeling of the hydrologic processes in such a wetland-dominated watershed.
Publisher: American Society of Agricultural and Biological Engineers
Date: 2021
No related grants have been discovered for Mosammat Mustari Khanaum.