Amin Mohebbi

ORCID: 0000-0003-2971-1773
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About
Contact & Profiles
Research Areas
  • Air Quality Monitoring and Forecasting
  • Air Quality and Health Impacts
  • Meteorological Phenomena and Simulations
  • Hydrology and Watershed Management Studies
  • Hydrology and Sediment Transport Processes
  • Vehicle emissions and performance
  • Hydraulic flow and structures
  • Atmospheric chemistry and aerosols
  • Spacecraft Dynamics and Control
  • Climate variability and models
  • Microbial Community Ecology and Physiology
  • Precipitation Measurement and Analysis
  • Quantum chaos and dynamical systems
  • Atmospheric aerosols and clouds
  • Atmospheric and Environmental Gas Dynamics
  • Groundwater and Isotope Geochemistry
  • Advanced Differential Equations and Dynamical Systems
  • Geography and Environmental Studies in Latin America
  • Traffic Prediction and Management Techniques
  • Gut microbiota and health
  • Sports Analytics and Performance
  • Aeolian processes and effects
  • Algebraic structures and combinatorial models
  • Water Systems and Optimization
  • Phase Equilibria and Thermodynamics

Boston College
2024

University of New Hampshire
2022

University of Lisbon
2022

Northern Arizona University
2019-2021

ORCID
2021

University of Nebraska–Lincoln
2014-2020

Linwei Wu Daliang Ning Bing Zhang Yong Li Ping Zhang and 95 more Xiaoyu Shan Qiuting Zhang Mathew R. Brown Zhenxin Li Joy D. Van Nostrand Fangqiong Ling Naijia Xiao Ya Zhang Julia Vierheilig George Wells Yunfeng Yang Ye Deng Qichao Tu Aijie Wang Dany Acevedo M. Agulló-Barceló Pedro J. J. Alvarez Lisa Alvarez‐Cohen Gary L. Andersen Juliana Calábria de Araújo Kevin F. Boehnke Philip L. Bond Charles Bott Patricia Bovio-Winkler Rebecca K. Brewster Faizal Bux Angela Cabezas Léa Cabrol Si Chen Craig S. Criddle Ye Deng Claudia Etchebehere Amanda Ford Dominic Frigon Janeth Sanabria James S. Griffin April Z. Gu Moshe Habagil Lauren Hale Steven D. Hardeman Marc Harmon Harald Horn Zhiqiang Hu Shameem Jauffur David R. Johnson Jürg Keller Alexander Keucken Sheena Kumari Cíntia Dutra Leal Laura Lebrun Jangho Lee Min-Joo Lee Zarraz May Ping Lee Yong Li Zhenxin Li Mengyan Li Xu Li Fangqiong Ling Yu Liu Richard G. Luthy Lêda C. Mendonça-Hagler Francisca Gleire Rodriguez de Menezes A. J. Meyers Amin Mohebbi Per Halkjær Nielsen Daliang Ning Adrian Oehmen Andrew Palmer Prathap Parameswaran Joonhong Park Deborah Patsch Valéria Reginatto Francis L. de los Reyes Bruce E. Rittmann Adalberto Noyola Simona Rossetti Xiaoyu Shan Jatinder Sidhu William T. Sloan Kylie Smith Oscarina Viana de Sousa David A. Stahl Kyle Stephens Renmao Tian James M. Tiedje Nicholas B. Tooker Qichao Tu Joy D. Van Nostrand Daniel de los Cobos‐Vasconcelos Julia Vierheilig Michael Wagner Steven A. Wakelin Aijie Wang Bei Wang Joseph E. Weaver

10.1038/s41564-019-0426-5 article EN Nature Microbiology 2019-05-13

Extreme weather conditions such as strong winds, hail, heavy rainfall, snowfall, and high air temperature impact roads, traffic, operational decisions. Strong winds in arid regions may pick up fine dust particles create massive blowing plumes dramatically reducing the visibility. This reduced visibility severely impairs driving ability causing catastrophic crashes. The purpose of this research was to investigate impacts storms on freeway safety operations. Interstates 8, 10, 15, 17, 19, 40...

10.1177/0361198119839978 article EN Transportation Research Record Journal of the Transportation Research Board 2019-04-04

Recently, there has been an increasing trend in traffic crash fatalities the United States, including State of Arizona. Given this fact, it is imperative to analyze factors that affect frequency, particularly those occurring on high-speed freeways. To address issue, study utilizes data from interstate freeways explore affecting frequency crashes with a focus impacts weather (precipitation, wind, etc.). Negative binomial models random parameters were estimated examine effects several...

10.1080/19439962.2020.1869875 article EN Journal of Transportation Safety & Security 2021-01-12

Conic open-channel flow as occurs in sub-drains, sewers, and culverts is computed by Manning's or Darcy's resistance equations for the cross-sectional average velocity only. Yet, fish passage culvert design requires distribution, which proposed this paper based on two hypotheses: (i) centreline distribution follows conventional log-law with a cubic deduction near water surface; (ii) described Guo Julien's modified log-wake-law but neglecting squared sine function. These hypotheses result...

10.1080/00221686.2014.928807 article EN Journal of Hydraulic Research 2014-10-17

10.1016/j.physa.2022.128230 article EN Physica A Statistical Mechanics and its Applications 2022-10-03

This study assesses the impact of topography and near-surface meteorological parameters on precipitation patterns in Arizona, focusing orographic precipitation's role shaping regional climate. Using monthly station data spanning 1990-2023, evaluates relationship between topography. Linear correlation coefficients Self-Organizing Maps (SOM) are employed to assess spatial temporal data, revealing a seasonal wet-dry cycle with distinct wet dry seasons. The season, exhibits two patterns: North...

10.2139/ssrn.4826758 preprint EN 2024-01-01

Stable channel design is important for conveying water among stakeholders in a safe and cost-effective manner. The current methods include the regime theory, permissible velocity method, tractive force method. Nevertheless, they are not yet conclusive, despite decades of study, because difficulties finding maximum bed sidewall shear stresses from Navier-Stokes equation. To advance stable design, we assume constant eddy viscosity apply Leighly's conformal mapping idea to equations rectangular...

10.1061/(asce)hy.1943-7900.0001827 article EN Journal of Hydraulic Engineering 2020-10-10

Abstract Point precipitation frequency estimates (PPFEs) are used in the design of stormwater drainage infrastructures. The PPFEs for 1-year to 1,000-year recurrence intervals with durations ranging from 5 min 60 days published National Oceanic and Atmospheric Administration (NOAA) Atlas 14. NOAA's accepted as a reliable resource urban infrastructures, yet they based on stationary climate assumption. However, future change may affect distribution, frequency, intensity events. To evaluate...

10.2166/nh.2022.045 article EN cc-by Hydrology Research 2022-08-17

This study aims to develop a hybrid approach based on backpropagation Artificial Neural Network (ANN) and spatial analysis techniques predict particulate matter of size 2.5 µm (PM2.5) from vehicle exhaust emissions in the State California Aerosol Optical Depth (AOD) climatic indicators (relative humidity, temperature, precipitation, wind speed). The PM2.5 data was generated using Motor Vehicle Emission Simulator (MOVES). measured variables AOD were obtained Irrigation Management Information...

10.20944/preprints202010.0075.v1 preprint EN 2020-10-05

The ideal framework for water infrastructure design in any region relies on rainfall characteristics of that region, which is defined through intensity-duration-frequency (IDF) curves. current IDF curves are based historical observations precipitation. However, with the help numerical models, more up-to-date can be developed to reflect precipitation regime. Here, a weather research and forecasting (WRF) model was applied produce data Arizona from 1950 2017. A total 20 scenarios were...

10.1061/(asce)he.1943-5584.0002068 article EN Journal of Hydrologic Engineering 2021-02-23

Nitrogen and phosphorous support the ecosystem by supplying nutrients to algae aquatic plants. Having them in excess results eutrophication of waters creating quality problems. In past, nitrogen has been widely investigated for wells context groundwater flow. However, a national-scale assessment rivers streams not received enough attention. this research, Wilcoxon rank sum test, as non-parametric hypothesis testing method, applied concentration form nitrate-nitrogen nitrite-nitrogen...

10.20944/preprints202106.0171.v1 preprint EN 2021-06-07

This study aims to develop a hybrid approach based on backpropagation Artificial Neural Network (ANN) and spatial analysis techniques predict particulate matter of size 2.5 µm (PM2.5) from vehicle exhaust emissions in the State California using Aerosol Optical Depth (AOD) several climatic indicators (relative humidity, temperature, precipitation, wind speed). The PM2.5 data were generated Motor Vehicle Emission Simulator (MOVES), measured variables AOD obtained Irrigation...

10.20944/preprints202010.0075.v2 preprint EN 2020-10-15

Nitrogen and phosphorous support the ecosystem by supplying nutrients to algae aquatic plants. Having them in excess results eutrophication of waters creating quality problems. In past, nitrogen has been widely investigated for wells context groundwater flow. However, a national-scale assessment rivers streams not received enough attention. this study, Wilcoxon rank-sum test, non-parametric hypothesis testing method, applied concentration form nitrate-nitrogen nitrite-nitrogen Contiguous...

10.1080/15715124.2022.2114484 article EN International Journal of River Basin Management 2022-08-18

In this paper, I am going to introduce a bounded component of the rotating Kepler problem for critical energy value $-\dfrac{3}{2}$ after combination Ligon-Schaaf regularization and Levi- Civita regularization. This is one my Ph.D. results. The result first time proved in thesis use results compute several ECH capacities RKP. paper [1], you can see final new methods computation.

10.48550/arxiv.2108.04581 preprint EN public-domain arXiv (Cornell University) 2021-01-01

This study aims to develop a hybrid approach based on backpropagation artificial neural network (ANN) and spatial analysis techniques predict particulate matter of size 2.5 µm (PM2.5) from vehicle exhaust emissions in the State California using aerosol optical depth (AOD) several meteorological indicators (relative humidity, temperature, precipitation, wind speed). The PM2.5 data were generated Motor Vehicle Emission Simulator (MOVES). measured variables AOD obtained Irrigation Management...

10.3390/environments7110102 article EN Environments 2020-11-19

In this paper, I am going to compute the ECH-capacities of rotating Kepler problem when energy is less than or equal critical value $-\dfrac{3}{2}$. To ECH-capacities, will use special concave toric domain problem, that explained in [arXiv:2108.04581] and obtain weights domain. a new method via tree then give an order them necessary do computation. The are continuous function belongs parameter. So we can computation for all level below energy. Finally, prove first weight biggest $c \leq...

10.48550/arxiv.2202.04009 preprint EN cc-by-nc-nd arXiv (Cornell University) 2022-01-01

Abstract In this paper, I am going to use the Special Concave Troic Domain of Rotating Kepler Problem [1] and compute ECH capacities RKP for all energy less than or equal critical value, i.e. $c \leq - \dfrac{3}{2}$. To these capacities, first we need obtain weights SCTD RKP, then find an order from biggest lowest one. From [1], know that is a Toric after applying Ligon-Schaaf symplectomorphism [5] Levi-Civita regularization [14] on CTD. Thus, can say special case CTD which rotated by 45...

10.21203/rs.3.rs-2156388/v1 preprint EN cc-by Research Square (Research Square) 2022-10-18
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