Sahila BeegumUniversity of Nebraska Lincoln and visiting Agricultural Engineer at USDA Agricultural Research Service, Maryland, USA
Sahila Beegum
Professor
Improving the mathematical representation of soil-plant- atmospheric interactions
About
39
Publications
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223
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Publications
Publications (39)
Background A fiber quality module developed in 2023 and integrated into the process-based mechanistic cotton crop growth and development model, GOSSYM is the first of its kind. In this fiber quality module, the functional relationships between fiber quality and the major factors influencing it (temperature, water, and nutrient status) are establish...
Model parameters in mechanistic process-based crop models are broadly classified into general parameters (environmental, management, and parameters related to soil processes), species-specific parameters, and cultivar-dependent parameters. While general and species-specific parameters typically remain unchanged, identifying cultivar-dependent param...
Climate change, driven by rising atmospheric concentrations of greenhouse gases (GHGs) like carbon dioxide (CO₂), poses one of the most pressing environmental challenges today. Soil carbon sequestration emerges as a crucial strategy to mitigate this issue by capturing atmospheric CO₂ and storing it in soil organic carbon (SOC), thereby reducing GHG...
Cotton is a pivotal global commodity underscored by its economic value and widespread use. In the face of climate change, breeding resilient cultivars for variable environmental conditions becomes increasingly essential. However, the process of phenotyping, crucial to breeding programs, is often viewed as a bottleneck due to the inefficiency of tra...
Climate change has been reported to significantly alter the amount of carbon being stored in the soil, but it remains unclear how accurately the effect of high temperatures and elevated CO2 on soil organic carbon (SOC) dynamics can be predicted. We used process-based crop models, GLYCIM and MAIZSIM, to evaluate the effects of climatic changes on SO...
The United States cotton industry is devoted to sustainable production strategies that reduce water, land, and energy consumption while enhancing soil health and cotton yield. Climate-smart agricultural solutions are being developed to increase yields and reduce operational costs. However, crop yield prediction is challenging because of the complex...
Corn seedling emergence is a critical factor affecting crop yields. Accurately predicting emergence is crucial for precise crop growth and development simulation in process-based crop models. While various experimental studies have investigated the relationship between corn seedling emergence and temperature, there remains a scarcity of studies foc...
GOSSYM is a mechanistic, process-level cotton crop simulation model. It can simulate the growth and development of cotton under different environmental and management conditions and provide information on crop growth and development, various stresses, and yield. The current model version does not have the capability of simulating cotton fiber quali...
Precise process-based modeling of nonequilibrium water flow and solute transport continues to pose a significant challenge in vadose zone hydrogeology. Nonequilibrium water flow and solute transport in the vadose zone bring about various complexities associated with heterogeneity, variability, unsaturated flow processes, hysteresis effects, and tim...
Cotton crop is known to be poorly adapted to waterlogging, especially during the early growth stages. Developing functional relationships between crop growth and development parameters and the duration of waterlogging is essential to develop or improve existing cotton crop models for simulating the impact of waterlogging. However, there are only li...
GOSSYM, a mechanistic, process-level cotton crop simulation model, has a two-dimensional (2D) gridded soil model called Rhizos that simulates the below-ground processes daily. Water movement is based on gradients of water content and not hydraulic heads. In GOSSYM, photosynthesis is calculated using a daily empirical light response function that re...
Extreme climate events including heat waves and droughts are projected to become more frequent under future climate change conditions. However, the mechanisms between soybean yields and climate factors, specifically involving variable rainfall and high heat episodes, are still unclear, particularly with respect to spatial trends in the United State...
The movement of nitrate to surface water bodies during snow accumulation and melting has been extensively studied, but there are only limited studies on the influence of snow processes on nitrate leaching to groundwater. The present study investigated the impact of snow processes on nitrate leaching to groundwater based on a simulation modeling app...
Crop simulation models are indispensable tools that facilitate studies involving yield impacts, adaptation and management strategies, and policy analysis. However, uncertainty among models with respect to climate change factors varies with location according to genetic, site and management differences. This study aims to evaluate the accuracy of th...
Coupled water and heat transfer models are widely used to analyze soil water content and temperature dynamics, evaluate agricultural management systems, and support crop growth modelling. In relatively dry soils, vapor transfer, rather than liquid water flux, becomes the main pathway for water redistribution. However, in some modularized soil simul...
An increase in the global population has forced agricultural practices to improve crop productivity. Fertilizer plays a pivotal role in soil fertility and crop yield. Precise nutrient management is a challenge and crucial for sustainable agriculture. The fertilizer nutrient use efficiency hardly exceeded 20%–40% for nitrogen, phosphorus, and potass...
Intensive farming and unsustainable agricultural practices have caused a detrimental loss of soil and water quality and environmental pollution. Several technological innovations have been made to face modern agriculture’s challenges and constraints: nanosensor is one. Nanosensors are used to detect dynamic changes in nanosized molecules’ behavior...
Soil pore water pressure analysis is crucial for understanding landslide initiation and prediction. However, field-scale transient pore water pressure measurements are complex. This study investigates the integrated application of simulation models (HYDRUS-2D/3D and GeoStudio–Slope/W) to analyze pore water pressure-induced landslides. The proposed...
Water and thermal dynamics at soil surfaces are influenced by multiple ambient factors, for example, weather, soil, residue mulch, and surface runoff. A surface water and temperature model should address those ambient factors, and their interactions and derivatives. In this study, we developed a process‐based simulation model for surface water and...
Agricultural water management plays a vital role in the food production and food security(Abbaspour, et al. 2007).Improper management of agriculture leads to local or far field water quality.Runoff from an agriculture land is considerably enriched with different kinds of nutrients, sediments, and pesticides. Nutrient loadings carried with the runof...
The Kerala State is a narrow strip of land in the southwest of India, with the Arabian Sea on the west and the Western Ghats in the east. Recent studies related to contaminant transport in the soil and groundwater in Kerala have reported Fluoride contamination in the aquifers. Due to the poor quality of the surface water sources in the state, the m...
Simulation models that describe the flow and transport processes of pesticides in soil and groundwater are important tools to analyze how surface pesticide applications influence groundwater quality. The aim of this study is to investigate whether the slow decline and the stable spatial pattern of atrazine concentrations after its ban, which were o...
The 'HYDRUS package for MODFLOW' is an existing MODFLOW package that allows MODFLOW to simultaneously evaluate transient water flow in both unsaturated and saturated zones. The package is based on incorporating parts of the HYDRUS‐1D model (to simulate unsaturated water flow in the vadose zone) into MODFLOW (to simulate saturated groundwater flow)....
Core Ideas
The coupling algorithm between HYDRUS‐1D and MODFLOW is updated.
Pressure head profiles are updated based on the groundwater table and bottom flux after each time step.
This eliminates sudden variations in inflow and outflow fluxes with groundwater table changes.
The HYDRUS‐based flow package for MODFLOW (the HPM or the HYDRUS package)...
![Table 2 . Average annual recharge rates [mm/yr] obtained for different...](publication/323084805/figure/tbl2/AS:668600411115521@1536418168141/Average-annual-recharge-rates-mm-yr-obtained-for-different-simulation-settings_Q320.jpg)
The paper presents an evaluation of the combined use of the HYDRUS and SWI2 packages for MODFLOW as a potential tool for modeling recharge in coastal aquifers subject to saltwater intrusion. The HYDRUS package for MODFLOW solves numerically the one-dimensional form of the Richards equation describing water flow in variablysaturated media. The code...
Questions
Questions (4)
Can process-based crop models be a replacement for agronomic field trials in terms of input use efficiency, environmental impact assessment, and enhancement of productivity and yield?
Can snow cover and snow melting impact the N transport in the soil and its movement to the groundwater? When studying the impact of long-term Nitrogen fertilizer application in agricultural areas, the impact of snow cover during winter may impact the transport and transformation of N in soil. Is there any simulation model that can consider the snow cover/snow melting and the associated impact on transport of N to the groundwater?
In most of the existing cotton crop simulation models, the phenological events or developmental rate processes are not parameterized as a function of CO2. I wanted to investigate this since it will impact model results in case if the phonology is affected by atmospheric CO2 levels.
Since the beginning of the Green revolution in India in the 1960s, there is a rapid increase in the utilization of nitrogenous fertilizers. The adverse impact of Nitrate in groundwater is well known as Nitrate is found to be harmful even when its concentration is below the permissible limits. There are several studies and journal reports on the nitrate concentration in groundwater in different parts of India. But most of them are limited to a specific study area or a state. A comprehensive analysis is proposed by Dr. Sahila and Dr. Saurav to gather information from various sources (journals, books, reports, etc. ) about nitrate detections in groundwater in all parts of the country since 1960. A standard template for gathering the information is developed. We would like to know if you are willing to contribute to collecting information regarding the same. We are planning to assign a person specific to a certain number of states as this will help in preventing the data overlapping. Once we can gather these data, we can come up with an analysis of the rate of increase (or decrease) in nitrate concentration over the years, pollution risk map, and correlation analysis with the factors that possibly affect or result in the presence of nitrate in the groundwater, etc.
If you are agreeing to contribute to this work. Kindly reply to us and we can forward you the template.
Looking forward to the collaboration
“Coming together is a beginning, staying together is progress, and working together is success.” Henry Ford.
