期刊,地学前缘(英文版) 2024年卷3期_国家学术搜索

期刊信息/Journal information

地学前缘(英文版)

主　　编：莫宣学

出版周期：双月刊

国际刊号：1674-9871

电子邮箱：geofrontier@cugb.edu.cn

电　　话：010-82322283,82321855

邮政编码：100083

地　　址：北京市海淀区学院路29号中国地质大学（北京）期刊中心

地学前缘(英文版)/Journal GEOSCIENCE FRONTIERSCSCDCSTPCD北大核心SCI

查看更多>>GEOSCIENCE FRONTIERS (GSF) is a quarterly journal that publishes in English significant original research articles and high quality reviews of recent advances in all fields of Earth Sciences — including stratigraphy and paleontology, mineralogy and petrology, economic geology and minerals and fuel exploration, structural geology, lithospheric tectonics, environmental and engineering geology, hydrogeology, astrogeology, marine geology, and geophysics and geochemistry. Technical papers, case histories, reviews, and discussions are welcomed.

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Relevance of hybrid artificial intelligence for improving the forecasting accuracy of natural resource prices

Mei LiRida WaheedDervis KirikkaleliGhazala Aziz...

445-460页

查看更多>>摘要：The prediction performance of traditional forecasting methods is low due to the high level of complexity in a series of energy prices.The present study attempts to compare the traditional regression,machine learning tools and hybrid models to conclude the outperforming model.The first step is to propose the effective denoising technique for Tadawul energy index,which has confirmed the superiority of CSD based denoising.However,we use the CSD-ARIMA,CSD-ANN,and CSD-RNN as hybrid models.As a result,CSD-RNN outperforms both other models in terms of MSE,MAPE,RMSE and Dstat.The findings are useful for policy makers,investors and portfolio managers to forecast the energy trends,and hedge the portfolio risk accordingly.

原文链接:

NETL
NSTL
万方数据

Linking gold prices,fossil fuel costs and energy consumption to assess progress towards sustainable development goals in newly industrialized countries

Muhammad Farhan BashirMuhammad Adnan BashirSyed Ali RazaYuriy Bilan...

461-471页

查看更多>>摘要：The continuous rise in global environmental challenges has led to urgency toward establishing a secure framework to achieve sustainable development goals.This study establishes a novel theoretical frame-work to analyze the role of energy prices,energy consumption,gold prices and economic growth on envi-ronmental degradation in newly industrialized economies.To realize sustainable development goals and foster environmental defence,this study utilizes CS-ARDL as the main econometric approach to investi-gate the asymmetric association between environmental degradation and relevant factors.We also use AMG,CS-DL,Driscoll-Kray and FGLS to enhance the robustness of our findings.Our econometric approach reveals that energy resource prices and renewable energy consumption reduce environmental degrada-tion,while gold prices and fossil energy consumption elevate environmental pollutants.We also confirm the existence of the EKC hypothesis.The findings of our extensive analysis paved the way for a well-designed environmental policy for NIC economies should focus on renewable energy consumption,green investments,and structural changes.

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NETL
NSTL
万方数据

Linking the utilization of mineral resources and climate change:A novel approach with frequency domain analysis

Kamel.Si MohammedUgur Korkut Pata

473-483页

查看更多>>摘要：Natural resources,climate change,and sustainable development are critical and simultaneously interre-lated issues.This study investigates the interdependence between raw minerals material and sea level rise,considering the role of economic performance and material footprint employing wavelet locale mul-tiple correlations from 1970 to 2019.The results provide strong evidence for cross-correlation of climate change with mineral resources,economic output,and domestic material consumption(biomass-fossil,metal,and non-metal)localized at the high frequency-time domain.However,the outcomes provide weak evidence for the association between bivariate time series at low frequency,which is a limitation in the short term.Based on the results,policymakers should implement effective environmental taxes and invest in cutting-edge technologies to optimize clean energy and mineral resources in a sustainable manner.

原文链接:

NETL
NSTL
万方数据

Applicability of denoising-based artificial intelligence to forecast the environmental externalities

Dongsheng CaiGhazala AzizSuleman SarwarMajid Ibrahim Alsaggaf...

485-499页

查看更多>>摘要：The current study attempts to compare the hybrid artificial intelligence models to forecast the environ-mental externalities in Saudi Arabia.We have used the denoising based artificial intelligence models to construct hybrid models.While comparing the denoising techniques,the CSD-based denoising has out-performed.However,we have used the CSD-based hybrid models.CSD-ANN and CSD-RNN are used for denoising-based artificial intelligence models,whereas CSD-ARIMA is used for denoising-based tradi-tional models.All these models are used to check and compare their performance in terms of level and direction of prediction for PM10.The results show that the CSD-based ANN model has a higher pre-dictability for PM10 levels in Saudi Arabia due to low error values and higher Dstat values.In comparing original and forecasted data,the superiority of CSD-ANN is evident in predicting the PM10 in Saudi Arabia.Hence,this hybrid model can predict the environmental externalities for non-linear and highly noised data.Moreover,the findings can be useful in achieving the sustainable development goal.

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