Article
Computer Science, Artificial Intelligence
Ayush K. Varshney, Pranab K. Muhuri, Q. M. Danish Lohani
Summary: Hierarchical clustering using probabilistic intuitionistic fuzzy sets is proposed in this paper to handle data uncertainty. The novel clustering algorithm, termed as Probabilistic Intuitionistic Fuzzy Hierarchical Clustering (PIFHC) Algorithm, utilizes the probabilistic Euclidean distance measure and achieves better cluster accuracies compared to existing counterparts. Experimental results on different datasets demonstrate the effectiveness of the PIFHC algorithm in improving clustering accuracy.
APPLIED SOFT COMPUTING
(2022)
Article
Geosciences, Multidisciplinary
Sultan Mahmud, Ferdausi Mahojabin Sumana, Md Mohsin, Md Hasinur Rahaman Khan
Summary: This study focused on the climate patterns of different climate stations in Bangladesh using adaptive clustering algorithms, revealing both regional disparities and similarities. The stations were grouped into two main clusters with distinct characteristics based on important climatological factors.
Article
Meteorology & Atmospheric Sciences
Lirong Huang, Haibo Du, Yongcai Dang, Hong S. He, Risu Na, Zhengfang Wu
Summary: Changes in consecutive extreme precipitation (CEP) events between dry and wet regions of China have different impacts, with CEP frequency increasing faster in dry regions. The increase in precipitation intensity is the primary factor contributing to the increase in CEP events, but changes in the temporal clustering of daily extreme precipitation can either enhance or reverse these effects depending on the region.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Computer Science, Theory & Methods
Krzysztof Siminski
Summary: This paper presents a novel fuzzy biclustering algorithm that groups both objects and attributes in fuzzy clusters, creating a subspace fuzzy rule base for a subspace fuzzy system.
FUZZY SETS AND SYSTEMS
(2022)
Article
Environmental Sciences
Ozlem Akay
Summary: This study aims to identify countries with similar water resources by considering precipitation amounts and climate change. By conducting time series clustering analysis on precipitation amounts of 22 countries, countries were divided into two clusters and evaluated based on their water risk levels and populations.
ENVIRONMENTAL EARTH SCIENCES
(2021)
Article
Computer Science, Information Systems
Alagan Ramasamy Rajeswari, Wen-Cheng Lai, C. Kavitha, Prabhu Kavin Balasubramanian, S. R. Srividhya
Summary: A MANET requires an efficient clustering mechanism to improve routing performance and network lifetime. This study proposes an ANFIS-EESC model based on fuzzy neural networks for energy-efficient secure clustering, considering factors like trust value, residual energy level, and mobility when electing a cluster leader. The simulation results demonstrate that the proposed model outperforms existing work in terms of network lifetime, packet delivery rate, and throughput.
Article
Chemistry, Multidisciplinary
Joon-Shik Moon, Chan-Hong Kim, Young-Sang Kim
Summary: The advantage of the piezocone penetration test is continuous data for reliable interpretation of the target soil layer. This research proposes a new method for soil classification model development using soft computing theory, and verifies its feasibility through comparison with other classification models and charts.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Lianmeng Jiao, Haoyu Yang, Zhun-ga Liu, Quan Pan
Summary: This paper introduces an interpretable fuzzy clustering algorithm that combines the flexibility of fuzzy partition with the interpretability of decision tree, using an unsupervised multi-way fuzzy decision tree to achieve interpretability in clustering.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Qirui Huang, Rui Gao, Hoda Akhavan
Summary: This paper proposes an ensemble hierarchical clustering algorithm based on the cluster consensus selection approach. The algorithm improves the quality of initial clustering by selecting a subset of primary clusters from partitions based on their merit level. Extensive experiments have been conducted to demonstrate the performance of the proposed algorithm.
PATTERN RECOGNITION
(2023)
Article
Environmental Sciences
Cristian Martinez-Villalobos, J. David Neelin
Summary: The study evaluated the accuracy of global climate models in predicting changes in precipitation extremes under current climate conditions, with most models performing well in this aspect. These models passed two key tests in current climate supporting the use of fractional measures to evaluate future changes in the probability of precipitation extremes.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Ewa Bogdanowicz, Emilia Karamuz, Renata Julita Romanowicz
Summary: The study focuses on analyzing the flow and precipitation variability over time and space in the River Vistula basin, using multi-purpose statistical analyses. Results show significant changes in winter runoff characteristics, while the behavior of minimum flows in the summer contradicts common perceptions. Additionally, precipitation indexes related to drought formation show no clear trends.
Article
Computer Science, Artificial Intelligence
Pierpaolo D'Urso, Luis A. Garcia-Escudero, Livia De Giovanni, Vincenzina Vitale, Agustin Mayo-Iscar
Summary: This study presents four different approaches to robust fuzzy clustering of time series, utilizing B-splines for representation and applying robust fuzzy clustering methods on the fitted coefficients. The research demonstrates the efficacy of these methods in handling contaminating time series and switching time series due to fuzziness.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
(2021)
Article
Computer Science, Hardware & Architecture
Peeyush Tewari, Sandesh Tripathi
Summary: In this research, a neuro-fuzzy approach to energy-efficient routing (NFEER) for IoT-enabled WSNs is proposed. The NFEER takes into account multiple parameters such as the distance between cluster head and sink, cluster size, and residual energy of cluster head to find the most efficient path across the network, mitigating the hotspot issue. Extensive simulations demonstrate that the NFEER extends the stability period by 27.98%, 13.97%, and 10.91% compared to existing protocols, resulting in enhanced stability duration, residual energy, network lifetime, and throughput.
JOURNAL OF SUPERCOMPUTING
(2023)
Review
Computer Science, Information Systems
Piyush Rawat, Siddhartha Chauhan
Summary: This paper provides a comprehensive survey and classification of clustering algorithms in wireless sensor network, including homogeneous network-based, heterogeneous network-based, fuzzy logic-based, and heuristic-based protocols. The performance, features, and clustering methodologies of the four categories of protocols are compared to evaluate their competency. The objective, key features, shortcomings, and benefits of different clustering techniques are examined to provide insights for researchers.
COMPUTER SCIENCE REVIEW
(2021)
Article
Multidisciplinary Sciences
Vikki Thompson, Dann Mitchell, Gabriele C. Hegerl, Matthew Collins, Nicholas J. Leach, Julia M. Slingo
Summary: Heatwaves are becoming more frequent and resulting in excess deaths under climate change. Using extreme value statistics, it is shown that regional temperature records are likely to be exceeded in many regions, making them more at-risk. Certain regions like Afghanistan and parts of Central America are particularly vulnerable due to potential extreme heatwaves, population growth, and limited healthcare and energy resources. Policy makers in vulnerable regions are urged to ensure adequate heat action plans. The study concludes that record-breaking heatwaves, currently seen as implausible, could occur anywhere due to climate change.
NATURE COMMUNICATIONS
(2023)
Article
Meteorology & Atmospheric Sciences
Sinan Sahin, Murat Turkes, Sheng-Hung Wang, David Hannah, Warren Eastwood
Article
Meteorology & Atmospheric Sciences
Yi Li, Ning Yao, Sinan Sahin, Willemijn M. Appels
THEORETICAL AND APPLIED CLIMATOLOGY
(2017)
Article
Water Resources
Sinan Sahin, H. Kerem Cigizoglu
HYDROLOGICAL PROCESSES
(2010)
Article
Engineering, Civil
Sinan Sahin
JOURNAL OF HYDROLOGY
(2012)
Article
Engineering, Civil
Sinan Sahin, Martin Ivanov, Murat Turkes
JOURNAL OF HYDROLOGY
(2018)
Article
Meteorology & Atmospheric Sciences
Sinan Sahin, H. Kerem Cigizoglu
THEORETICAL AND APPLIED CLIMATOLOGY
(2013)
Article
Meteorology & Atmospheric Sciences
Sinan Sahin, Murat Turkes
THEORETICAL AND APPLIED CLIMATOLOGY
(2013)
Article
Engineering, Environmental
Sinan Sahin
ENVIRONMENTAL PROCESSES-AN INTERNATIONAL JOURNAL
(2014)
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)