Article
Water Resources
Roja K. Garna, Daniel R. Fuka, Joshua W. Faulkner, Amy S. Collick, Zachary M. Easton
Summary: This study focuses on three watersheds in the Lake Champlain Basin of Vermont, USA, and proposes a new calibration technique called simultaneous multi-basin calibration (MBC) to estimate model parameters in low data environments. By aggregating observed flows from multiple initializations, a combined streamflow record of sufficient length is generated for parameter calibration. The results demonstrate improved model performance and more realistic parameter values, providing important insights for watershed management.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Meteorology & Atmospheric Sciences
Mohammad Reza Mahmoudi, Saeid Eslamian, Saeid Soltani, Moein Tahanian
Summary: Floods are destructive natural events that cause significant human and financial losses. This research extracted regionalized intensity-duration-frequency (IDF) curves in Khuzestan province, Iran using L-moments and neural gas networks. Clustering was done using neural gas and growing neural gas network models. The results showed that neural gas network models had higher accuracy and efficiency, and L-moments had acceptable performance in regional frequency analysis.
THEORETICAL AND APPLIED CLIMATOLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Jayshree Hazarika, Arup Kumar Sarma
Summary: In this study, homogeneous rainfall regions were identified in the upper Brahmaputra valley region of Assam using fuzzy clustering analysis on rainfall data from 83 tea gardens. Various cluster validity indices were used to determine the optimal clustering in the fuzzy c-means algorithm. Results suggest that further sub-clustering of larger clustered regions may be necessary for regionalization at a local scale.
THEORETICAL AND APPLIED CLIMATOLOGY
(2021)
Article
Computer Science, Interdisciplinary Applications
Deepan Jayaraman, Palaniappan Ramu
Summary: The article presents a method based on L-moments for developing a distribution-independent moment estimation approach which better characterizes uncertainty and is less sensitive to extremes, suitable for engineering examples.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Engineering, Civil
Xu Cheng, Xixia Ma, Wusen Wang, Yao Xiao, Qianli Wang, Xinxin Liu
Summary: This paper explores the applicability of the HEC-HMS model in small ungauged watersheds in hilly areas, using hydrological divisions III and IV of Henan Province as the research area. The study establishes regression relationships between model parameters and underlying surface characteristics, showing that the HEC-HMS model can effectively simulate the rainfall-runoff process in small watersheds in hilly areas.
WATER RESOURCES MANAGEMENT
(2021)
Article
Construction & Building Technology
Zhi-Peng Li, Dong-Zhu Hu, Long-Wen Zhang, Zhen Zhang, Yue Shi
Summary: Leveraging the properties of L-moments, this study proposes an effective normal transformation for structural reliability analysis considering correlated input random variables, and provides the admissible range of the initial correlation matrix. A practical procedure based on the proposed transformation and FROM is introduced to handle unknown joint PDFs or marginal PDFs. Compared to the method using C-moments, the proposed method based on L-moments shows broader applicability. Various practical scenarios demonstrate its effectiveness and precision in calculating the structural reliability index.
Article
Statistics & Probability
T. Simkova
Summary: The paper introduces the concept of L-moments and their application in statistical inference. It shows that L-moments perform well in estimating population parameters and quantiles, especially for heavy-tailed distributions with small sample sizes.
JOURNAL OF APPLIED STATISTICS
(2021)
Article
Multidisciplinary Sciences
Yuanyuan Li, Guangyi Jin, Boyang Sun, Zhehao Cui, Bishun Lu
Summary: Border tourism between China and North Korea has a significant impact on international economic and cultural cooperation. This study examines the temporal and spatial distribution characteristics and influencing factors of travel demands to North Korea using Baidu Index. It reveals that the travel demands showed an initial increase followed by a decrease from 2011 to 2018, with significant seasonal and spatial differences. Holidays, population, GDP, per capita disposable income, internet penetration, and education are the main factors influencing tourism demand to North Korea.
Article
Environmental Sciences
Tarekegn Dejen Mengistu, Tolera Abdisa Feyissa, Il-Moon Chung, Sun Woo Chang, Mamuye Busier Yesuf, Esayas Alemayehu
Summary: In this study, a regional flood frequency analysis of the Genale-Dawa River Basin in Ethiopia was performed using the index flood and L-moments approach. The results showed that the L-moment statistics accurately modeled the flood flow in the basin. The study found suitable probability distributions for different regions and constructed regional flood frequency curves to predict peak flood for different return periods. The findings of this study can be used for flood hazard, risk, and inundation mapping in the study area, as well as for similar investigations in other river basins.
Article
Computer Science, Interdisciplinary Applications
Deepan Jayaraman, Palaniappan Ramu, Suhas Karkada Suresh, Vinay Ramanath
Summary: Robust design architectures can identify optimal designs in uncertain input spaces by minimizing the mean and spread of the response in the performance space. This study proposes using L-moments to estimate the spread measure and a dual surrogate framework to build a robust design.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Construction & Building Technology
Manamno Beza, Habtamu Hailu, Gezahegn Teferi
Summary: The surface water potential of the ungauged subwatershed of Jewuha watershed was estimated using the hydrological model of Soil and Water Assessment Tool (SWAT) and simple regionalization techniques. The study found that the watershed has high surface water potential, which can be used for agricultural development.
ADVANCES IN CIVIL ENGINEERING
(2023)
Article
Engineering, Industrial
Deepan Jayaraman, Palaniappan Ramu
Summary: In structural applications, uncertainties are inevitable and have a significant impact on risk assessment. Probabilistic risk assessment (PRA) is used to determine the level of risk associated with complex systems. Bayesian inference and L-moments are proposed in this paper as an effective framework to analyze probabilistic risk. The proposed approach demonstrates better performance than traditional methods in the presence of limited data and extremes.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Multidisciplinary Sciences
Carina K. Bork, Hugo A. S. Guedes, Samuel Beskow, Micael De S. Fraga, Mylena F. Tormam
Summary: Estimating minimum streamflows is crucial for water resource management, especially in areas with insufficient gauged watercourses like Brazil. This study compared clustering methods to delineate hydrologically homogeneous regions in Rio Grande do Sul state, Brazil, and found that the Ward algorithm with Manhattan distance was effective. Factors such as drainage area, perimeter, and rainfall were important for accurate clustering, leading to refined mathematical models for estimating streamflow in ungauged rivers.
ANAIS DA ACADEMIA BRASILEIRA DE CIENCIAS
(2021)
Article
Geosciences, Multidisciplinary
Wei Zhi, Yuning Shi, Hang Wen, Leila Saberi, Gene-Hua Crystal Ng, Kayalvizhi Sadayappan, Devon Kerins, Bryn Stewart, Li Li
Summary: Watersheds are fundamental units that connect land to aquatic systems. This paper presents a watershed-scale biogeochemical reactive transport model that can simulate both hydrological and biogeochemical processes. The model has been applied in multiple watersheds and can help understand the coupled processes under different conditions.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2022)
Article
Environmental Sciences
Lei Wu, Xia Liu, Zhi Yang, Junlai Chen, Xiaoyi Ma
Summary: The study found a decreasing trend of soil erosion intensity grade in the Jinghe River Watershed from northwest to southeast. The implementation of the Grain for Green project significantly reduced intense and extremely intense erosion in different land use types. Most intense and extreme erosion came from mid-elevation loessial beams and hills and mid-elevation loessial tableland, with attention needed on erosion in the temperate typical grassland subzone.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
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)
