Application of Deep Learning for Reservoir Porosity Prediction and self Organizing Map for Lithofacies Prediction DOI
Mazahir Hussain, Shuang Liu, Wakeel Hussain

et al.

Journal of Applied Geophysics, Journal Year: 2024, Volume and Issue: 230, P. 105502 - 105502

Published: Aug. 31, 2024

Language: Английский

New insight into the correlations between land use and water quality in a coastal watershed of China: Does point source pollution weaken it? DOI
Zhou Pei, Jinliang Huang, Robert Gilmore Pontius

et al.

The Science of The Total Environment, Journal Year: 2015, Volume and Issue: 543, P. 591 - 600

Published: Nov. 23, 2015

Language: Английский

Citations

285

Freshwater as a Sustainable Resource and Generator of Secondary Resources in the 21st Century: Stressors, Threats, Risks, Management and Protection Strategies, and Conservation Approaches DOI Open Access
Doru Bănăduc, Vladica Simić, Kevin Cianfaglione

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 19(24), P. 16570 - 16570

Published: Dec. 9, 2022

This paper is a synthetic overview of some the threats, risks, and integrated water management elements in freshwater ecosystems. The provides discussion human needs conservation issues related to systems: (1) introduction background; (2) basics natural cycles; (3) roles cultures civilizations; (4) as biosphere cornerstone; (5) climate hydrospheric ‘game changer’ from perspective freshwater; (6) human-induced stressors’ effects on ecosystem changes (pollution, habitat fragmentation, etc.); (7) ecosystems’ biological resources context unsustainable exploitation/overexploitation; (8) invasive species, parasites, diseases systems; (9) vegetation; (10) relationship between warfare water. All these more create an extremely complex matrix stressors that plays driving role changing ecosystems both qualitatively quantitatively, well their capacity offer sustainable products services societies. Only internationally policies, strategies, assessment, monitoring, management, protection, initiatives can diminish hopefully stop long-term deterioration Earth’s associated secondary resources.

Language: Английский

Citations

89

Characterizing effects of landscape and morphometric factors on water quality of reservoirs using a self-organizing map DOI
Young‐Seuk Park, Yong‐Su Kwon, Soon‐Jin Hwang

et al.

Environmental Modelling & Software, Journal Year: 2014, Volume and Issue: 55, P. 214 - 221

Published: Feb. 22, 2014

Language: Английский

Citations

96

Multiple factors control groundwater chemistry and quality of multi-layer groundwater system in Northwest China coalfield — Using self-organizing maps (SOM) DOI
Shen Qu, Zheming Shi, Xiangyang Liang

et al.

Journal of Geochemical Exploration, Journal Year: 2021, Volume and Issue: 227, P. 106795 - 106795

Published: April 20, 2021

Language: Английский

Citations

73

Remote Sensing of Turbidity for Lakes in Northeast China Using Sentinel-2 Images With Machine Learning Algorithms DOI Creative Commons
Yue Ma, Kaishan Song, Zhidan Wen

et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2021, Volume and Issue: 14, P. 9132 - 9146

Published: Jan. 1, 2021

Monitoring water quality of inland lakes and reservoirs is a great concern for the public government in China.Water turbidity reliable direct indicator that can reflect quality.Remote sensing has become an efficient technology monitoring large-scale turbidity.This study aims to search optimal regression model accurately predict using remote data.To achieve this goal, 187 samples were collected from field campaigns across Northeast China 2018, which gathered within ±6 days Sentinel-2 overpasses.The spectral reflectance data was used as independent variables modeling.The simple (SR), partial least squares (PLSR), support vector (SVR), extreme learning machine (ELM), back-propagation neural network (BP), classification tree (CART), gradient boosting decision (GBDT), random forest (RF), K-nearest neighbor (KNN) compare.From validation, we identified GBDT best (R 2 =0.88,RMSE=9.90NTU, MAE=6.71NTU).We applied retrieve obtained satisfactory result.Feature selection technique tree-based ensemble method also tested.We selected B2, B3, B4, B5 important because their high ability explain variation turbidity.These results demonstrated significance promising imagery at regional scale.It beneficial monitor spatial-temporal distribution turbidity; management environment protection.

Language: Английский

Citations

71

Application of Machine Learning for Lithofacies Prediction and Cluster Analysis Approach to Identify Rock Type DOI Creative Commons
Mazahir Hussain, Shuang Liu, Umar Ashraf

et al.

Energies, Journal Year: 2022, Volume and Issue: 15(12), P. 4501 - 4501

Published: June 20, 2022

Nowadays, there are significant issues in the classification of lithofacies and identification rock types particular. Zamzama gas field demonstrates complex nature due to heterogeneous reservoir formation, while it is quite challenging identify lithofacies. Using our machine learning approach cluster analysis, we can not only resolve these difficulties, but also minimize their time-consuming aspects provide an accurate result even when user inexperienced. To constrain models, type a critical step characterization. Many empirical statistical methodologies have been established based on effect performance. Only well-logged data provided, no cores sampled. Given circumstances, fact that traditional methods such as regression intractable, chosen apply three strategies: (1) using self-organizing map (SOM) arrange depth intervals with similar facies into clusters; (2) clustering split various specific zones; (3) analysis technique used type. In field, SOM techniques discovered four group facies, each which was internally comparable petrophysical properties distinct from others. Gamma Ray (GR), Effective Porosity(eff), Permeability (Perm) Water Saturation (Sw) generate results. The findings behavior shows facies-01 facies-02 good characteristics for acting gas-bearing sediments, whereas facies-03 facies-04 non-reservoir sediments. outcomes this study stated excellent rock-type zone field.

Language: Английский

Citations

47

Self-organizing map algorithm for assessing spatial and temporal patterns of pollutants in environmental compartments: A review DOI Creative Commons
Sabina Licen, Aleksander Astel, Stefan Tsakovski

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 878, P. 163084 - 163084

Published: March 28, 2023

The evaluation of the spatial and temporal distribution pollutants is a crucial issue to assess anthropogenic burden on environment. Numerous chemometric approaches are available for data exploration they have been applied environmental health assessment purposes. Among unsupervised methods, Self-Organizing Map (SOM) an artificial neural network able handle non-linear problems that can be used exploratory analysis, pattern recognition, variable relationship assessment. Much more interpretation ability gained when SOM-based model merged with clustering algorithms. This review comprises: (i) description algorithm operation principle focus key parameters SOM initialization; (ii) output features how mining; (iii) list software tools performing calculations; (iv) overview application obtaining pollution patterns in compartments training result visualization; (v) advice reporting details paper attain comparability reproducibility among published papers as well extracting valuable information from results presented.

Language: Английский

Citations

36

Incorporating ecological connectivity into ecological functional zoning: A case study in the middle reaches of Yangtze River urban agglomeration DOI

Hongzhuo Zhao,

Jianhua He, Dianfeng Liu

et al.

Ecological Informatics, Journal Year: 2023, Volume and Issue: 75, P. 102098 - 102098

Published: April 8, 2023

Language: Английский

Citations

29

Spatial heterogeneity of ambient sound at the habitat type level: ecological implications and applications DOI
Dimitrios Bormpoudakis, Jérôme Sueur,

John D. Pantis

et al.

Landscape Ecology, Journal Year: 2013, Volume and Issue: 28(3), P. 495 - 506

Published: Jan. 28, 2013

Language: Английский

Citations

87

Studies on the Spatiotemporal Variability of River Water Quality and Its Relationships with Soil and Precipitation: A Case Study of the Mun River Basin in Thailand DOI Open Access
Zhonghe Zhao,

Gaohuan Liu,

Qingsheng Liu

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2018, Volume and Issue: 15(11), P. 2466 - 2466

Published: Nov. 5, 2018

Human activities can affect soil nutrients, thereby influencing river water quality. The spatial pattern of precipitation also impacts distributions In this paper, we employed a method that combines point survey, soil, and quality data to analyze the relationships between precipitation, nutrient in basin on basis field surveys laboratory analysis. ordinary kriging was applied interpolate data, analyzed. samples main stream were collected during both dry rainy seasons nutrients. results indicate: (1) season is better than season, upper reaches lower reaches, agricultural activity direct source pollution. (2) differente dilution effect pollutant concentrations transport flow distribution (3) There significant difference nutrients seasons, content surface runoff directly Soil are affected by human activities, they potentially act as nonpoint (NPS) pollution basin. To improve quality, suitable agriculture measures need be implemented.

Language: Английский

Citations

64