Article
Environmental Sciences
Jun-Hyeok Son, Nam-Hoon Kim, Go-Un Kim, Jung-Eun Chu, Jae-Heung Park, Jae-il Kwon, Ki-Young Heo
Summary: Global heating causes the lengthening of European summer, with the early onset of summer being responsible for this climatic trend. An intensified anti-cyclonic circulation anomaly in late May leads to temperature increases. The intensification of the mid-latitude westerly wind affects the anomalous circulation change through Rossby wave responses. With further global heating, more frequent European heatwaves are expected to occur.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Environmental Sciences
Haoyu Jin, Xiaohong Chen, Ruida Zhong, Moyang Liu
Summary: The research found that PM2.5 is increasing in North China and decreasing in South China, with different regions influenced by different factors. The deep learning model can better simulate the spatial distribution of PM2.5.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Automation & Control Systems
Carl Emil Eskildsen, Tormod Naes, Peter B. Skou, Lars Erik Solberg, Katinka R. Dankel, Silje A. Basmoen, Jens Petter Wold, Siri S. Horn, Borghild Hillestad, Nina A. Poulsen, Mette Christensen, Theo Pieper, Nils Kristian Afseth, Soren B. Engelsen
Summary: This paper discusses the concept of the cage of covariance in analytical chemistry, where indirect relationships between response and explanatory variables may affect the calibration of multivariate models. It highlights the importance of considering use of the models and validity of indirect relationships in future samples. Additionally, it explores the hidden role of interfering compounds in calibration models and the potential consequences of strong covariance relationships between analyte estimates and interfering compounds.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2021)
Article
Geochemistry & Geophysics
Lucas M. Fennell, Mark T. Brandon, Michael T. Hren
Summary: This study uses the isotope-paleotopography method to analyze the topographic evolution of the Southern Central Andes and adjacent foreland. The results show that isotopic fractionation of precipitation is mainly influenced by topographic uplift. Additionally, the study reveals that the topography of the eastern side of the Malargue basin has been relatively stable in the past 55 million years, but has experienced significant changes between 15 million to present.
EARTH AND PLANETARY SCIENCE LETTERS
(2023)
Article
Psychology, Mathematical
Sopiko Gvaladze, Marlies Vervloet, Katrijn Van Deun, Henk A. L. Kiers, Eva Ceulemans
Summary: Principal covariates regression (PCovR) is a method that reduces predictor variables to a limited number of components in order to deal with interpretation and technical issues in regression. PCovR2 extends PCovR by reducing criteria variables to a few components as well, allowing users to choose the emphasis on reconstruction and prediction. PCovR2 outperforms other approaches like PLS2 and PCR2 in recovering all relevant predictor and predictable criterion components, as shown in a simulated example.
BEHAVIOR RESEARCH METHODS
(2021)
Article
Environmental Sciences
Yifu Gao, Abdullah Sahin, Jasper A. Vrugt
Summary: Variance-based analysis is used to quantify the sensitivity of the output y to the input variables x. This paper focuses on the sensitivity analysis of correlated input variables using high-dimensional model representation (HDMR) to separate the structural and correlative contributions. The results show that HDMR and HDMRext successfully analyze the structural and correlative contributions of the model output and provide an optimal experimental design for parameter correlation.
WATER RESOURCES RESEARCH
(2023)
Article
Engineering, Environmental
B. Ertas Deniz, T. Topal
Summary: This study assesses the durability of tuff in Central Anatolia using factor analysis, multiple regression analysis, and analytical hierarchy process. The results show that tuffs in the region exhibit varying levels of durability. The study identifies key properties of the tuffs and predicts their long-term durability using statistical analysis methods.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2022)
Article
Computer Science, Artificial Intelligence
Xiao-Han Yu, Shao-Chen Mao, Lei Wang, Shi-Jie Lu, Kun Yu
Summary: Neural Process (NP) combines neural network and Gaussian Process (GP) advantages to solve regression problems efficiently. However, limited by latent variable dimensionality, NP struggles to fit observed data completely and predict targets perfectly. To address this, authors propose a concise and effective improvement called Multi-Latent Variables Neural Process (MLNP). MLNP samples multiple latent variables, integrating representations corresponding to the latent variables with adaptive weights. MLNP inherits NP's linear computation scales and learns approximate distribution over objective functions more flexibly and accurately. Applied to 1-D regression and 2-D image completion tasks, MLNP shows significant improvement in prediction accuracy and fitting capability compared to NP. Ablation experiments demonstrate the impact of latent variable number on MLNP's performance and the authors analyze the roles of different latent variables.
IET IMAGE PROCESSING
(2023)
Article
Energy & Fuels
Karoline Pelka, Katharina Fischer
Summary: Frequent failures of power converters in wind turbines have a negative impact on their availability and incur substantial maintenance costs. This study aims to identify the primary causes and failure modes of power-converter failures in wind turbines from a statistical perspective. Using regression models, design-related and site-specific covariates are incorporated to analyze extensive field data from over 9000 turbines worldwide. The results suggest that factors like the converter's location in the turbine, cooling system, rated power, voltage, IGBT-module manufacturer, and turbine commissioning date significantly influence the failure behavior and overall reliability of power converters, with humidity being a likely driver of failures.
Article
Meteorology & Atmospheric Sciences
Xin Xu, Mingshan Li, Shuixin Zhong, Yuan Wang
Summary: This study investigates the impacts of subgrid orographic drag (SOD) on a heavy-rain-producing Northeast China cold vortex (NECV) using the Weather Research and Forecasting model. It shows that the absence of SOD parameterization leads to overestimated NECV intensity and incorrect atmospheric conditions. The parameterization of turbulent orographic form drag (TOFD) significantly decelerates the winds, while flow blocking drag (FBD) and mountain wave drag (MWD) have a minor role. The findings provide important insights into the influence of complex terrain on NECV.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Biology
Wei Li, Zitong Lu, Jinzhu Jia, Min Xie, Zhi Geng
Summary: In this paper, a method for deducing the causes of multiple effect variables is proposed, along with its assumptions and identification equations. The proposed approach is applicable for causal studies with multiple effect or outcome variables.
Article
Ecology
Yalan Xiong, Huiling Wang
Summary: This study combined 2D-DWT and GWR methods to analyze the complex spatial relationship between NDVI and topographic factors in the upper reaches of the Minjiang River. The results showed that elevation, slope, and aspect had different scale effects on NDVI, with elevation being the most important factor determining the spatial distribution of NDVI.
ECOLOGICAL INFORMATICS
(2022)
Article
Ophthalmology
Sooyeon Choe, Young Kook Kim, Woosuk Chung, Donghyun Ko, Marvin Lee, Sung Ryul Shim, Ahnul Ha
Summary: This study found that placebo is effective in lowering intraocular pressure and is superior to the effect observed in untreated control participants. However, caution is required in interpreting the results due to the limited number of trials with untreated control groups and the lack of direct comparison between placebo and untreated arms.
Article
Geosciences, Multidisciplinary
Y. Derin, P-E Kirstetter
Summary: This study aims to understand the uncertainties of satellite-based precipitation products (SPPs) in complex terrain by analyzing environmental and physical parameters. The study found that heavy rainfall is strongly associated with high moisture flux convergence and moderate humidity. However, SPPs may over- or underestimate positive environmental and physical parameters under certain rainfall conditions.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Agronomy
Sam J. Leuthold, Ole Wendroth, Montserrat Salmeron, Hanna Poffenbarger
Summary: Weather and topography are important drivers of spatial variability in crop yield. The relationship between crop yield and these factors shifts with precipitation, with maize generally yielding higher in low-elevation and low-slope landscape positions, and soybean in low-slope positions. Additionally, the impact of precipitation on yield-topography relationships differs between maize and soybean.
FIELD CROPS RESEARCH
(2022)
Article
Environmental Sciences
Zhan Wang, Yeonjoo Kim, Hochoel Seo, Myoung-Jin Um, Jiafu Mao
ENVIRONMENTAL RESEARCH LETTERS
(2019)
Article
Green & Sustainable Science & Technology
Daeryong Park, Momcilo Markus, Kichul Jung, Myoung-Jin Um
JOURNAL OF CLEANER PRODUCTION
(2019)
Article
Chemistry, Multidisciplinary
Daeryong Park, Huan-Jung Fan, Jun-Jie Zhu, Sang-Eun Oh, Myoung-Jin Um, Kichul Jung
APPLIED SCIENCES-BASEL
(2019)
Article
Environmental Sciences
Myoung-Jin Um, Yeonjoo Kim, Daeryong Park, Kichul Jung, Zhan Wang, Mun Mo Kim, Hongjoon Shin
SCIENCE OF THE TOTAL ENVIRONMENT
(2020)
Article
Green & Sustainable Science & Technology
Kichul Jung, Deg-Hyo Bae, Myoung-Jin Um, Siyeon Kim, Seol Jeon, Daeryong Park
Article
Environmental Sciences
Taereem Kim, Ju-Young Shin, Hanbeen Kim, Jun-Haeng Heo
WATER RESOURCES RESEARCH
(2020)
Article
Green & Sustainable Science & Technology
Kichul Jung, Myoung-Jin Um, Momcilo Markus, Daeryong Park
Article
Engineering, Civil
Sunghun Kim, Kyungwon Joo, Hanbeen Kim, Ju-Young Shin, Jun-Haeng Heo
Summary: Many studies have pointed out the bias between simulated climate model data and observed data, leading to the development of various bias correction methods like quantile mapping, detrended quantile mapping, and quantile delta mapping. The regional quantile delta mapping (RQDM) method was proposed to address this issue and proved to be more robust than the conventional QDM method through statistical evaluations.
JOURNAL OF HYDROLOGY
(2021)
Article
Green & Sustainable Science & Technology
Daeryong Park, Huan-Jung Fan, Jun-Jie Zhu, Taesoon Kim, Myoung-Jin Um, Siyeon Kim, Seol Jeon, Kichul Jung
Summary: This study evaluated a fuzzy technique for multicriteria decision making in potential dam site selection in South Korea. It found that effects of missing information varied across different sites, with some sites minimally affected and others greatly impacted by missing information. The study highlights the applicability of the Fuzzy TOPSIS method in evaluating priority rankings in cases with missing information.
Article
Green & Sustainable Science & Technology
Daeryong Park, Myoung-Jin Um, Momcilo Markus, Kichul Jung, Laura Keefer, Siddhartha Verma
Summary: The study found that the seven-parameter regression method combined with composite and rectangular residual adjustments provided the best estimates in most watersheds and sampling frequency conditions. On average, WRTDS was more accurate than using regression models alone, but less accurate than models enhanced by residual adjustments, except for the most urbanized watershed, Cuyahoga. In the Vermilion and Maumee watersheds, SLI was the most accurate.
Article
Environmental Sciences
Seol Jeon, Siyeon Kim, Moonyoung Lee, Heejin An, Kichul Jung, Myoung-Jin Um, Kyungjin An, Daeryong Park
Summary: This study investigated the pollutant reduction effects from the geometric and hydrological factors of green infrastructures (GIs) to design GI models more accurately, and evaluated the factors required for such a design. The results suggest that models considering influent concentration combined with hydrological and GI geometric parameters have better correlations than those considering only a single parameter.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Environmental Sciences
Hanbeen Kim, Taereem Kim, Ju-Young Shin, Jun-Haeng Heo
Summary: Extreme value modeling for extreme rainfall using large-scale climate indices as covariates has shown to improve the accuracy of distribution parameters. A novel procedure was proposed, which identified significant seasonal climate indices impacting the long-term trend of annual maximum daily rainfall and selected the most appropriate GEV distribution model. The nonstationary GEV model with climate indices as covariates demonstrated the best performance in estimating extreme rainfall quantiles.
Article
Environmental Sciences
Myung-Jin Um, Yeonjoo Kim, Kichul Jung, Moonyoung Lee, Heejin An, Inkyung Min, Jaesang Kwak, Daeryong Park
Summary: This paper explored the phenomenon of drought propagation in the Yangtze River basin, China, using meteorological, hydrological, and agricultural aspects. Three drought indices, SPEI, SRI, and SSMI, were used to evaluate the different types of droughts. The study confirmed the propagation of meteorological to hydrological and agricultural droughts in the Yangtze River basin.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Meteorology & Atmospheric Sciences
S. Kim, J. -H Kwon, J. -S Om, T. Lee, G. Kim, H. Kim, J. -H Heo
Summary: To evaluate future flood risks, the results of a hydrological model based on simulated data from a climate model need to be analyzed. This study focuses on the technological and policy aspects of future flood management in South Korea. By using the HadGEM3-RA regional climate model to predict future extreme rainfall events and the regional quantile delta mapping (RQDM) method to correct inherent biases in climate models, changes in flood quantiles are assessed based on two representative concentration pathways (RCP4.5 and RCP8.5) scenarios. A regional frequency analysis (RFA) is applied to estimate rainfall quantiles as input data for a rainfall-runoff model. The flood quantiles for five major river basins in South Korea are then simulated using the HEC-1 (rainfall-runoff) model to calculate quantitative variations.
WEATHER AND CLIMATE EXTREMES
(2023)
Article
Environmental Sciences
Muhammad Shafqat Mehboob, Yeonjoo Kim, Jaehyeong Lee, Myoung-Jin Um, Amir Erfanian, Guiling Wang
Article
Engineering, Civil
Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani
Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen
Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao
Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan
Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown
Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu
Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao
Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang
Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu
Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu
Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Manuel Almeida, Antonio Rodrigues, Pedro Coelho
Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang
Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal
Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus
Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Constantin Seidl, Sarah Ann Wheeler, Declan Page
Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.
JOURNAL OF HYDROLOGY
(2024)