Article
Environmental Sciences
Che-Hao Chang, Riki Rahmad, Shiang-Jen Wu, Chih-Tsung Hsu
Summary: This study proposed an improved methodology for estimating rainfall quantiles in Taiwan using the Regional Frequency Analysis with L-moments approach. Discordant grids were identified and removed, and the QPESUMS grids were grouped into sub-regions based on scaled characteristics. The Wakeby, Generalized Extreme Value, and Generalized Pareto distributions were found to fit well for most sub-regions, with Wakeby distribution being the best fit. The study also revealed that the eastern and southern parts of Taiwan experience the highest extreme rainfall, likely due to frequent typhoon activity. The results demonstrate the suitability of the regional approach for large-scale applications and smaller scales such as watershed areas.
Article
Environmental Sciences
Cristian Gabriel Anghel, Cornel Ilinca
Summary: The frequency analysis of maximum flows is a direct method to predict future flood risks. This article introduces four probability distributions and analyzes them using parameter estimation methods. The results indicate that the Burr distribution is the best fit model.
Article
Environmental Sciences
Huayan Dai, Hong Zhang, Huayang Dai, Chao Wang, Wei Tang, Lichuan Zou, Yixian Tang
Summary: This paper proposes an automatic landslide identification and gradation method suitable for low-coherence areas using interferometric synthetic aperture radar (InSAR). The method combines statistical analysis and spatial cluster analysis to accurately identify and grade landslides in these areas. Experimental results show that the proposed method successfully identifies 47 potential landslides, providing valuable information and support for geological hazard investigation.
Article
Meteorology & Atmospheric Sciences
Samiran Das, Abu Reza Md Towfiqul Islam, Mohammad Kamruzzaman
Summary: This study investigates the temperature extremes under climate change in Bangladesh and finds that extreme temperatures (both maximum and minimum) are expected to increase noticeably in the future. The estimates of extreme temperatures are higher under the high emission scenario and in the far future. These findings are important for evaluating climate change impacts and adaptation strategies in Bangladesh.
Article
Environmental Sciences
Muzaffar Ali Baig, Qamruz Zaman, Shams Ali Baig, Muhammad Qasim, Umair Khalil, Sajjad Ahmad Khan, Muhammad Ismail, Sher Muhammad, Shaukat Ali
Summary: This study analyzed hydro-meteorological variables in Chitral Basin to predict changes in climatic components such as temperature, precipitation, humidity and river flow. Findings revealed interrelationships between temperature, precipitation, and humidity, as well as the impact of precipitation on river flow in Chitral.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Public, Environmental & Occupational Health
Mohsen Soleimani, Nasser Bagheri
Summary: This study revealed significant spatial variations in the pattern of MI incidence in Zanjan province, with the study area showing a higher MI incidence rate compared to the national average. Spatial cluster analysis provides new evidence for policymakers to design tailored interventions to reduce MI incidence and allocate health resources to unmet need areas.
Article
Water Resources
Ahmad Roshani, Fatemeh Parak, Hossein Esmaili
Summary: The study revealed significant trends in climate change indices in Iran, with most stations showing negative trends in cool/dry and cool/wet indices. Warm/dry and warm/wet indices had similar behavior, with warm/wet days showing less magnitude and spatial consistency. Over 80% of stations experienced a decrease in annual cold modes and an increase in annual warm modes. Additionally, the Universal Thermal Climate Index showed a significant increase in strong heat stress occurrences and a significant decrease in no thermal stress occurrences.
JOURNAL OF WATER AND CLIMATE CHANGE
(2021)
Article
Environmental Sciences
Muhammad Shafeeq ul Rehman Khan, Zamir Hussain, Ishfaq Ahmad, Farzana Noor
Summary: The study conducted regional frequency analysis on annual maximum peak flows of 36 sites in Khyber-Pakhtunkhwa, Pakistan, validated assumptions of randomness and distribution, subdivided the region into homogeneous regions based on influential site characteristics, and determined the best-fit distribution through simulation-based assessment analysis, using radial basis function network for estimating quantiles at ungauged sites. The methodology proved useful for estimation of quantiles within both gauged and ungauged sites in defined homogeneous regions.
JOURNAL OF FLOOD RISK MANAGEMENT
(2021)
Article
Agronomy
Muhammad Matloob Javed, Abdullah A. Al-Doss, Muhammad Usman Tahir, Muhammad Altaf Khan, Salah El-Hendawy
Summary: Assessing the salt tolerance of a large genotype collection at the early growth stages can help improve salt-tolerant barley genotypes in breeding programs. This study used nine SRAP markers to investigate the salt tolerance of 70 barley genotypes based on traits related to seed germination and seedling growth performance. The results showed that salt concentrations had a significant effect on the germination ability and seedling growth performance of the genotypes. Germination traits were strongly correlated, while they had a weak correlation with seedling traits. Cluster analysis grouped the genotypes into four clusters based on their stress tolerance index, with different clusters showing different levels of salt tolerance. SRAP markers divided the genotypes into two distinct clusters, with one cluster having the most salt-tolerant genotypes. Using appropriate statistical methods with SRAP markers can effectively assess the salt tolerance of a large number of barley genotypes.
Article
Humanities, Multidisciplinary
Ali Asghar Pilehvar
Summary: The development of urbanization and urbanism in Iran has led to a widening socioeconomic gap in urban areas, resulting in issues such as unemployment, inflation, rising housing prices, and traffic congestion. The study shows that cities in Iran have experienced unsustainable growth trends, with urbanization overtaking urbanism.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2021)
Article
Engineering, Civil
Honghua Liu, Jing Yang, Ming Ye, Scott C. James, Zhonghua Tang, Jie Dong, Tongju Xing
Summary: This study introduced t-SNE as a graphic approach to assist cluster analysis for groundwater geochemistry data. Compared to PCA, t-SNE performed better in assisting cluster analysis, showing promise as a tool for determining cluster numbers and delineating spatial zones.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Environmental
Talha Farooq, Firdos Khan, Hamd Ullah, Zahid-ur- Rehman, Anum Luni
Summary: This study analyzed the impact of climate change on climatic regions in Pakistan using precipitation and temperature data from 55 meteorological stations. Homogeneous climatic regions (HCRs) were constructed using two statistical methods, and the results showed that some stations changed groups under future scenarios due to changes in temperature and precipitation. The study also projected a significant increase in maximum and minimum temperatures in the future, particularly in the period of 2071-2100 under RCP 4.5 and 8.5. This research will provide valuable insights for climate change planning and management in Pakistan.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Meteorology & Atmospheric Sciences
Seyed Hassan Alavinia, Mahdi Zarei
Summary: The study revealed a significant increasing trend in temperatures in most parts of Iran, especially in northern and western regions, while the trend in precipitation indices was not significant.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Engineering, Multidisciplinary
Hossein Bazzi, Hossein Ebrahimi, Babak Aminnejad
Summary: This study examines the evaporation changes in southern Iran's water resources planning, estimating the future evaporation rate of Chahnimeh reservoirs in the coming decades, and predicting severe water stress in the future.
AIN SHAMS ENGINEERING JOURNAL
(2021)
Article
Environmental Sciences
Malihe Moazeni, Mohammad Reza Maracy, Bahare Dehdashti, Afshin Ebrahimi
Summary: This study investigates the relationship between climate characteristics, air pollution, and COVID-19 in Isfahan province, Iran, showing significant associations between COVID-19 and factors such as month, climate, solar energy, and NO2, with seasonal trends in spring and summer. Recommendations for improving healthcare and controlling the pandemic were provided based on the findings.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Geography, Physical
Reza Modarres, Ali Sarhadi, Donald H. Burn
GLOBAL AND PLANETARY CHANGE
(2016)
Editorial Material
Meteorology & Atmospheric Sciences
Taesam Lee, Hyunhan Kwon, Reza Modarres, Sangdan Kim, Fateh Chebana
ADVANCES IN METEOROLOGY
(2016)
Article
Biophysics
Reza Modarres, Mohammad Ghadami, Sohrab Naderi, Mohammad Naderi
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
(2018)
Article
Meteorology & Atmospheric Sciences
R. Modarres, T. B. M. J. Ouarda
Article
Environmental Sciences
Tayeb Raziei, Jamal Daryabari, Isabella Bordi, Reza Modarres, Luis S. Pereira
Article
Water Resources
R. Modarres, T. B. M. J. Ouarda
HYDROLOGICAL PROCESSES
(2013)
Article
Water Resources
T. Lee, R. Modarres, T. B. M. J. Ouarda
HYDROLOGICAL PROCESSES
(2013)
Article
Water Resources
Ali Sarhadi, Richard Kelly, Reza Modarres
HYDROLOGICAL PROCESSES
(2014)
Article
Biophysics
Reza Modarres, Taha B. M. J. Ouarda, Alain Vanasse, Maria Gabriela Orzanco, Pierre Gosselin
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
(2014)
Article
Engineering, Civil
F. Farsadnia, M. Rostami Kamrood, A. Moghaddam Nia, R. Modarres, M. T. Bray, D. Han, J. Sadatinejad
JOURNAL OF HYDROLOGY
(2014)
Article
Environmental Sciences
R. Modarres, T. B. M. J. Ouarda
WATER RESOURCES RESEARCH
(2014)
Article
Ecology
Morteza Akbari, Reza Modarres, Mohammad Alizadeh Noughani
JOURNAL OF ARID ENVIRONMENTS
(2020)
Article
Meteorology & Atmospheric Sciences
Reza Modarres
Summary: This study utilizes robust statistical methods to analyze trends in dust storms frequency in arid regions of Iran, revealing a significant relationship between climate variables and dust storm frequency. Among the variables affecting dust storm frequency, wind speed is considered the most significant climate driver.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Water Resources
Mohsen Amini, Mohammad Ghadami, Farshad Fathian, Reza Modarres
HYDROLOGICAL SCIENCES JOURNAL
(2020)
Article
Water Resources
Farshad Jalili Pirani, Reza Modarres
HYDROLOGICAL SCIENCES JOURNAL
(2020)
