Article
Engineering, Civil
Sami Ghordoyee Milan, Abbas Roozbahani, Naser Arya Azar, Saman Javadi
Summary: The study developed a predictive model based on machine learning, and combining ANFIS with HHO significantly improved the prediction accuracy of groundwater extraction amount. The results indicated that ANFIS-HHO performed well on test data and had better predictive accuracy compared to other algorithms.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Ali Azizpour, Mohammad Ali Izadbakhsh, Saeid Shabanlou, Fariborz Yosefvand, Ahmad Rajabi
Summary: This paper utilizes artificial intelligence techniques to develop two hybrid models for predicting groundwater level fluctuations and the variations of Cl - and HCO3 - in Iran. The results show that the WANFIS-FA model performs better than the ANFIS-FA model.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Engineering, Civil
Qiaoyu Wang, Jie Yang, Ingo Heidbuechel, Xuan Yu, Chunhui Lu
Summary: The excessive use of nitrogen fertilizer has negative effects on drinking water quality and aquatic ecosystems. This study examines the spatiotemporal variation of nitrogen retention and the impact of external nitrogen input heterogeneity on retention capacity and nitrogen export in a small catchment in Germany. The findings highlight the importance of considering land-use patterns and regional wetness conditions to manage surface water quality.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Jize Piao, Seong Woo Nam, Yeongkyoo Kim, Eungyu Park
Summary: This study demonstrates the significance of secondary data analysis for characterizing groundwater quality in terms of spatial and temporal trends. The methods and results reveal diverse trends and characteristics in water quality over space and time in selected regions of South Korea, emphasizing the importance of analyzing aggregated data beyond individual locations. The study contributes to the development of more reliable and effective groundwater quality management strategies.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Energy & Fuels
Leilei Shi, Junhui Gong, Chunjie Zhai
Summary: A hybrid optimization algorithm combining PSO and GA showed improved performance in determining the pyrolysis kinetics of biomass, achieving higher accuracy and population diversity in the process.
Article
Environmental Sciences
Ananya Jain, Srinivas Rallapalli, Dhruv Kumar
Summary: This study proposes a cloud-based machine learning framework using artificial neural networks, adaptive neuro-fuzzy inference systems, and advanced particle swarm optimization to assess the sensitivity of water quality parameters to the Water Quality Index. The framework captures the nonlinearity in the relationship among water quality parameters and suggests continuous monitoring and analysis through the use of monitoring sensors in rivers and cloud-based data analysis.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Engineering, Civil
V Gholami, M. R. Khaleghi, S. Pirasteh, Martijn J. Booij
Summary: The study utilized geospatial artificial intelligence methods to simulate groundwater quality in the Mazandaran plain in Iran and compared the performance of three methods, with CANFIS demonstrating the highest performance in the test stage. The results can be used for managing groundwater quality and contributing to sustainable development goals.
WATER RESOURCES MANAGEMENT
(2022)
Article
Environmental Sciences
Shipra Tyagi, Kiranmay Sarma
Summary: The study aimed to track groundwater usability in western Uttar Pradesh, India, through comprehensive qualitative monitoring. Results showed potable groundwater variability affected by residential and industrial wastewater discharge, while parameters for irrigation were within suitable limits in all seasons. Seasonal variability was observed, particularly for fluoride, nitrate, cadmium, chromium, nickel, residual bicarbonate, and magnesium hazard.
ENVIRONMENTAL EARTH SCIENCES
(2021)
Article
Environmental Sciences
Tariq Judeh, Hanbing Bian, Isam Shahrour
Summary: The study developed groundwater potability and palatability indices using various methods, finding that some samples were unpotable or unpalatable. Unpotable samples were mainly found in areas with poor sewer networks and intensive use of agrochemicals. Groundwater in the eastern part of the West Bank was unpalatable due to seawater intrusion.
Article
Environmental Sciences
Rana Muhammad Adnan, Hong-Liang Dai, Ozgur Kisi, Salim Heddam, Sungwon Kim, Christoph Kulls, Mohammad Zounemat-Kermani
Summary: In this study, four hybrid neuro-fuzzy methods were investigated for their applicability in predicting BOD using data from two river stations in South Korea. The ANFIS-MPA model showed the best performance, with the lowest root mean square error and mean absolute error, and the highest determination coefficient. It improved the root mean square error of other models by a significant margin, both at Gongreung and Gyeongan stations.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Computer Science, Hardware & Architecture
Parul Gandhi, Mohammad Zubair Khan, Ravi Kumar Sharma, Omar H. Alhazmi, Surbhi Bhatia, Chinmay Chakraborty
Summary: Software reliability is a primary concern for software development organizations, and the increasing demand for reliable software necessitates the development of modeling techniques. This paper proposes an efficient algorithm based on Neuro-Fuzzy Inference System for software reliability prediction and compares it with other techniques. The results demonstrate that the proposed algorithm outperforms existing models in terms of reliability prediction.
COMPUTER SYSTEMS SCIENCE AND ENGINEERING
(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
Engineering, Civil
He Wang, Fugang Wang, Jingwei Sun, Zhongle Cheng, Yaohui Wang, Yuqing Cao
Summary: This study focuses on the calculation method of groundwater resource quantity in the Changbai Mountains of Jilin Province, China. A new strategy for the division of GCUs and GCPs is proposed, and the spatiotemporal distribution of groundwater resource quantity for different GCUs and GCPs is calculated. The results provide a scientific basis for groundwater resource development in the study area and offer a new reference strategy for groundwater resource evaluation in similar regions.
JOURNAL OF HYDROLOGY
(2023)
Article
Automation & Control Systems
Namal Rathnayake, Tuan Linh Dang, Yukinobu Hoshino
Summary: The ANFIS model is widely used for its smoothness and adaptability, but faces challenges related to dimensionality and computational complexity. A novel Cascaded ANFIS algorithm is proposed in this paper, utilizing pair selection and training modules to enhance performance and minimize errors in various datasets.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2021)
Article
Water Resources
Yuhan Zhou, Jianhua Wu, Xingyu Gao, Wenyu Guo, Wenqian Chen
Summary: This study investigated the spatiotemporal changes and affecting factors of natural background levels (NBLs) and threshold values (TVs) for phreatic groundwater in the Greater Xi'an area of China. The results showed that all ions exceeded their standard limits and the water quality deteriorated from 2015 to 2020. Differences in geological formations, rainfall, evaporation, and ground surface slope contributed to the higher NBLs in the northern Wei River zone compared to the southern Wei River zone. Agricultural activities and urbanization were important factors affecting groundwater pollution.
EXPOSURE AND HEALTH
(2022)