Arman Ahmadi

Arman Ahmadi
University of California, Davis | UCD · Department of Biological and Agricultural Engineering

Ph.D. Candidate

About

13
Publications
3,835
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100
Citations

Publications

Publications (13)
Article
Reference ET (ETo) is a variable that helps determine atmospheric pressure on living (reference) grass to release water into the atmosphere. For this purpose, four main driving forces: air temperature, air humidity, solar radiation, and wind speed need to be measured over the well-watered reference grass. The relative influence of these driving for...
Article
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Irrigated agriculture is the largest consumer of freshwater globally. Despite the clarity of influential factors and deriving forces, estimation of the volumetric irrigation demand using biophysical models is prohibitively difficult. Data-driven models have proven their ability to predict geophysical and hydrological phenomena with only a handful o...
Article
In recent years, the pavement industry has been seeking sustainable development through recycling reclaimed asphalt pavement and reusing other waste materials as replacements for asphalt mixture constituents. Incorporating waste material into asphalt mixture and the presence of pollutants such as exhaust fumes and gasoline due to vehicle traffic ma...
Article
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Groundwater is a vital source of freshwater, supporting the livelihood of over two billion people worldwide. The quantitative assessment of groundwater resources is critical for sustainable management of this strained resource, particularly as climate warming, population growth, and socioeconomic development further press the water resources. Rapid...
Article
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Multispectral imaging using Unmanned Aerial Vehicles (UAVs) has changed the pace of precision agriculture. Actual evapotranspiration (ETa) from the very high spatial resolution of UAV images over agricultural fields can help farmers increase their production at the lowest possible cost. ETa estimation using UAVs requires a full package of sensors c...
Article
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Reflectance spectroscopy for soil property prediction is a non-invasive, fast, and cost-effective alternative to the standard laboratory analytical procedures. Soil spectroscopy has been under study for decades now with limited application outside research. The recent advancement in precision agriculture and the need for the spatial assessment of s...
Article
Full-text available
Hydrological models are simplified imitations of natural and man-made water systems, and because of this simplification, always deal with inherent uncertainty. To develop more rigorous modeling procedures and to provide more reliable results, it is inevitable to consider and estimate this uncertainty. Although there are different approaches in the...
Article
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In this paper, Social Network Analysis (SNA) and Stakeholder Analysis (SA) are utilized to identify the main stakeholders, evaluate their powers and interests, and demonstrate their relations in the Kan River Basin, Tehran, Iran. Their attributes are determined by the use of SA and their relations and connections are determined by the use of SNA. I...
Article
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Environmental processes are complicated, so it is important to consider uncertainty as part of environmental modelling. A new variant of the machine learning-based method for residual estimation and parametric model uncertainty is presented. This method is based on the UNEEC-P (UNcertainty Estimation based on local Errors and Clustering - Pianosi)...
Article
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Efforts to achieve suitable estimation of parametric or the structural uncertainty of mathematical or conceptual frameworks have been led to develop various probabilistic, possibilistic, and innovative methods. In this paper, uncertain parametric behavior in a monthly water balance model has been studied using the structure of the UNEEC-P method. I...
Article
Full-text available
Efforts to achieve suitable estimation of parametric or the structural uncertainty of mathematical or conceptual frameworks have been led to develop various probabilistic, possibilistic, and innovative methods. In this paper, uncertain parametric behavior in a monthly water balance model has been studied using the structure of the UNEEC-P method. I...
Conference Paper
Full-text available
Due to severe depletion of freshwater resources and increasing population of the world in recent years, the supply of healthy water with acceptable quality is a vital need. One of the most important necessities for satisfying this need is permanent and precise water quality control. For controlling the quality of water, we need to assess its physic...

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Projects

Projects (5)
Project
1. Leveraging data science methods to explore deriving forces of evapotranspiration 2. Developing predictive machine learning models to estimate and forecast reference evapotranspiration 3. Developing explanatory machine learning approaches to investigate actual evapotranspiration and plant-water relations
Project
The aim of this research project is to analyze the performance and effectiveness of machine learning algorithms to address current problems of hydrology and water resources.
Archived project
The aim of this research project is to study the ability and potential of Visible and Near-InfraRed (VNIR) Spectroscopy to predict important soil properties like carbon, nitrogen, and texture.