Physics and Chemistry of the Earth最新文献_第7页

Understanding vegetation change in northern Tanzania: interactions between climate variability and human activity 了解坦桑尼亚北部的植被变化：气候变率与人类活动之间的相互作用

IF 4.1 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-08-14 DOI: 10.1016/j.pce.2025.104064

Hongli Lou , Abhishek Banerjee , Joseph Mango , Ulfat Khan , Sudhir Kumar Singh

{"title":"Understanding vegetation change in northern Tanzania: interactions between climate variability and human activity","authors":"Hongli Lou , Abhishek Banerjee , Joseph Mango , Ulfat Khan , Sudhir Kumar Singh","doi":"10.1016/j.pce.2025.104064","DOIUrl":"10.1016/j.pce.2025.104064","url":null,"abstract":"<div><div>Changing climatic patterns and allied hydrological variability have substantial impacts on regional vegetation growth. This study provides a comprehensive assessment of long-term climate change, anthropogenic activities, and corresponding vegetation dynamics by utilizing multiple remotely sensed datasets and employing various statistical approaches and modeling techniques at annual, seasonal, and monthly scales from 2000 to 2022. Non-parametric trend analyses indicate a significant increase in air temperature (0.25 °C/year, p < 0.05) and a notable decline in rainfall (−33.7 mm/year, p < 0.05), alongside increases in potential evapotranspiration and decreases in both soil moisture (−1.3 mm/year) and groundwater storage (−1.52 mm/year). These climatic and hydrological changes exhibit strong associations with vegetation cover. A significant reduction in regional greenness, as indicated by the Enhanced Vegetation Index (EVI = −0.62), is observed primarily in the lowland plains of northern Tanzania, while slight increases are noted in higher-elevation regions. Additionally, anthropogenic activities also play a critical role in regional vegetation degradation. Approximately 80 % of the vegetation loss in the southeastern plains is attributed to unsustainable human activities. The study revealed a strong positive correlation between rainfall and vegetation productivity (R<sup>2</sup> = 0.91, p < 0.05), whereas temperature shows a significant negative correlation (R<sup>2</sup> = −0.81, p < 0.05). Notably, the observed decline in EVI is closely linked to reduced rainfall (R<sup>2</sup> = −0.79, p < 0.05), emphasizing the pivotal role of climatic parameters in influencing vegetation dynamics. Quantifying these variations in relation to climatic, hydrological, and anthropogenic drivers is essential for the development of effective and sustainable vegetation restoration strategies.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"141 ","pages":"Article 104064"},"PeriodicalIF":4.1,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144878355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of formation shear wave velocity using a new hybrid deep learning algorithm 利用一种新的混合深度学习算法预测地层横波速度

IF 4.1 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-08-14 DOI: 10.1016/j.pce.2025.104063

Hamzeh Ghorbani , Omid Hazbeh , Meysam Rajabi , Somayeh Tabasi , Sahar Lajmorak , Mehdi Ahmadi Alvar , Ahmed E. Radwan

{"title":"Prediction of formation shear wave velocity using a new hybrid deep learning algorithm","authors":"Hamzeh Ghorbani , Omid Hazbeh , Meysam Rajabi , Somayeh Tabasi , Sahar Lajmorak , Mehdi Ahmadi Alvar , Ahmed E. Radwan","doi":"10.1016/j.pce.2025.104063","DOIUrl":"10.1016/j.pce.2025.104063","url":null,"abstract":"<div><div>Reservoir, drilling, geology, and petrophysics engineers rely heavily on formation shear wave velocity (FVs), yet traditional methods for obtaining FVs are often time-consuming and costly. Leveraging artificial intelligence (AI) offers the potential for more efficient and accurate predictions. In this study, a novel hybrid approach integrating a convolutional neural network (CNN) with a long short-term memory (LSTM) network was developed for FVs prediction, utilizing 8670 datasets from three wells in a Middle Eastern gas field. This method, the first of its kind applied to geophysical applications, effectively captures the temporal relationships between well logs and input/output data, significantly enhancing prediction accuracy. Pearson correlation analysis reveals negative correlations between FVs and measured depth (MD), caliper (cP), shallow resistivity (RES-SHT), density (RHOB), and formation pressure wave velocity (FVp). In contrast, positive correlations are observed with deep resistivity (RES-DEP), gamma ray (GR), porosity (NPHI), and medium resistivity (RES-MED). Elevated RES-DEP, cP, GR, RES-SHT, and FVs values are associated with higher FV estimates. The CNN-LSTM hybrid model outperforms other algorithms, maintaining high accuracy when applied to an additional well (V3), thereby demonstrating its robustness and effectiveness for shear wave velocity prediction. The dual architecture—combining CNN's spatial feature extraction capabilities with LSTM's ability to model temporal dependencies—underpins the model's stability, adaptability, and applicability to a wide range of geophysical studies.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"140 ","pages":"Article 104063"},"PeriodicalIF":4.1,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144852159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Geochemical evidence for the origin of multiphase hydrocarbons in the deep carbonate platform margin: examples of Ordovician oil in the Yuke of the Tarim basin 碳酸盐岩台地边缘深层多相油气成因的地球化学证据——以塔里木盆地玉克地区奥陶系石油为例

IF 4.1 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-08-13 DOI: 10.1016/j.pce.2025.104051

Bin Li , Peijie Wang , Tao Tang , Li Zhong , Xingxing Zhao , Jianfa Han

{"title":"Geochemical evidence for the origin of multiphase hydrocarbons in the deep carbonate platform margin: examples of Ordovician oil in the Yuke of the Tarim basin","authors":"Bin Li , Peijie Wang , Tao Tang , Li Zhong , Xingxing Zhao , Jianfa Han","doi":"10.1016/j.pce.2025.104051","DOIUrl":"10.1016/j.pce.2025.104051","url":null,"abstract":"<div><div>The genetic mechanism of high-maturity light oil reservoirs has long been an issue in deep oil and gas exploration. In order to better examine the development of multiphase hydrocarbon reservoirs on the edge of the Ordovician carbonate platform in the Yuke Tarim Basin, this research used the application of organic geochemistry techniques. An analysis of the light hydrocarbon components and triarylsterane parameters of the Ordovician oil confirmed that the oil was produced from the mature to highly mature stage and was sourced primarily from the lower Cambrian Yuertusi Formation. A significant discovery from this investigation is the gradual increase in aromatic parameters of crude oil, including methyl dibenzothiophene (4-MDBT/1-MDBT) and the trimethylnaphthalene index (TMNr), indicating two fluid migration routes—vertical and lateral—for hydrocarbons within the carbonate platform margin. These findings provide a new insight into the underlying mechanism of deep multistage differential hydrocarbon accumulation. The discontinuous distribution of gypsum and salt rocks and the activity of strike-slip faults control the intensity of late-stage natural gas intrusion, which is a key factor in the formation of multi-phase oil and gas enrichment.The discontinuous presence of the middle Cambrian gypsum cap at the base of the study site resulted in a notable increase in late gas invasion. The vertical strike-slip fault zone and transverse transport system play crucial roles in the spatial distribution of hydrocarbons at the carbonate platform margin. Additionally, the analysis underscores the significant value of aromatic parameters of crude oil in identifying the genetic characteristics of highly mature oil and gas.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"140 ","pages":"Article 104051"},"PeriodicalIF":4.1,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144852157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating MHVSR and MSOR techniques with JFIM for seismic vulnerability assessment of sites and buildings in Jammu and Kashmir, NW Himalayas 将MHVSR和MSOR技术与JFIM相结合，对西北喜马拉雅地区查谟和克什米尔地区的场地和建筑物进行地震易损性评估

IF 4.1 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-08-13 DOI: 10.1016/j.pce.2025.104062

Abdullah Ansari , Falak Zahoor , K. Seshagiri Rao , Ganesh W. Rathod , Bashir Ahmed Mir

{"title":"Integrating MHVSR and MSOR techniques with JFIM for seismic vulnerability assessment of sites and buildings in Jammu and Kashmir, NW Himalayas","authors":"Abdullah Ansari , Falak Zahoor , K. Seshagiri Rao , Ganesh W. Rathod , Bashir Ahmed Mir","doi":"10.1016/j.pce.2025.104062","DOIUrl":"10.1016/j.pce.2025.104062","url":null,"abstract":"<div><div>This study employed geophysical surveys at 242 locations across the Jammu Region to assess dynamic soil properties and Double Resonance Effect (DRE). This approach facilitated measurements of Resonance Frequency (<em>f</em><sub><em>0</em></sub>), H/V Amplitude (<span><math><mrow><mi>A</mi></mrow></math></span>), Spectral Shape, and Average Shear Wave Velocity at 30 m depth (<span><math><mrow><msub><mi>V</mi><mrow><mi>s</mi><mn>30</mn></mrow></msub></mrow></math></span>), leading to the identification of risk zones. The study categorized sites into distinct resonance classes and provided a comprehensive database for engineers and consultants. Key findings included the identification of high DRE risk areas for earthquake-resilient construction. Additionally, it will help in assessing liquefaction potential and predicting settlement. This study aligns with UN's Sustainable Development Goals 9 and 11 by promoting resilient infrastructure and enhancing urban safety and sustainability through improved construction practices and disaster preparedness in the Himalayas.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"140 ","pages":"Article 104062"},"PeriodicalIF":4.1,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144864580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A study on the electrical resistivity and ultrasonic wave velocity characteristics of oil-contaminated soil 石油污染土壤的电阻率及超声波速特性研究

IF 4.1 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-08-13 DOI: 10.1016/j.pce.2025.104065

Yuzhen Han , Qiang Sun , Pengfei Li , JiShi Geng , Pengda Ma , Yuhang Li

{"title":"A study on the electrical resistivity and ultrasonic wave velocity characteristics of oil-contaminated soil","authors":"Yuzhen Han , Qiang Sun , Pengfei Li , JiShi Geng , Pengda Ma , Yuhang Li","doi":"10.1016/j.pce.2025.104065","DOIUrl":"10.1016/j.pce.2025.104065","url":null,"abstract":"<div><div>With the rapid development of the global oil industry, various oil-contaminated soil problems are on the rise, seriously affecting ecological balance and human health. Compared with traditional complex pollution investigation methods, resistivity method and ultrasonic method are a fast, convenient, and non-intrusive pollution detection method. To investigate the information response of resistivity and ultrasonic to oil-contaminated soil, this paper studied the variation of resistivity and ultrasonic velocity of oil-contaminated soil with moisture content (4 %–12 %) and oil content (3 %–15 %). The results indicate that moisture content is the primary factor influencing the soil's electrical conductivity. When the oil content is between 3 % and 15 %, the resistivity of oil-contaminated soil decreases with the increase of moisture content. The more water in soil pores, the better the soil conductivity and the lower the resistivity. When the soil is in a low saturation state, oil will hinder the soil's electrical conductivity. When the moisture content is below 6 %, the resistivity of the soil shows an increasing trend with the increase of oil content. However, as the moisture content increases, the influence of oil content on resistivity gradually weakens. When the sample's wet density is constant, the soil porosity increases with higher moisture and oil content, resulting in a decrease in wave velocity of the oil-contaminated soil. The influence of moisture on ultrasonic waves is more significant. These findings provide a theoretical basis for the future use of resistivity and ultrasonic detection methods to assess the degree of contamination at polluted sites.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"141 ","pages":"Article 104065"},"PeriodicalIF":4.1,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144878176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimation of nitrogen-crude oil interfacial tension: Application of hybrid machine learning algorithms 氮-原油界面张力的估计：混合机器学习算法的应用

IF 4.1 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-08-12 DOI: 10.1016/j.pce.2025.104056

Jian Shen , Anupama Yadav , Farag M.A. Altalbawy , Mohammad Alaa Hussain Al-Hamami , Jayaprakash B , S Srinadh Raju , Nizomiddin Juraev , Hameed Hassan Khalaf , Ahmed Safa'a Tariq Habeeb , Nada Qasim Mohammed , Saif Hameed Hlail , Merwa Alhadrawi , Mohammad Mahtab Alam , Mahmood Kiani

{"title":"Estimation of nitrogen-crude oil interfacial tension: Application of hybrid machine learning algorithms","authors":"Jian Shen , Anupama Yadav , Farag M.A. Altalbawy , Mohammad Alaa Hussain Al-Hamami , Jayaprakash B , S Srinadh Raju , Nizomiddin Juraev , Hameed Hassan Khalaf , Ahmed Safa'a Tariq Habeeb , Nada Qasim Mohammed , Saif Hameed Hlail , Merwa Alhadrawi , Mohammad Mahtab Alam , Mahmood Kiani","doi":"10.1016/j.pce.2025.104056","DOIUrl":"10.1016/j.pce.2025.104056","url":null,"abstract":"<div><div>Nitrogen gas injection has been identified as an effective Enhanced Oil Recovery (EOR) technique in the last years. Precise measurement of interfacial tension (IFT) under reservoir conditions is crucial for planning an effective gas-based EOR process. Conversely, measuring IFT through experimental means is expensive and difficult, requiring complex interpretation and costly devices and arduous procedures. This highlights the necessity of developing accurate and affordable models for estimating IFT. This article aims to propose a smart method using Adaptive Neuro-fuzzy Interference System (ANFIS) optimized by Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) to precisely predict the N<sub>2</sub>-crude oil IFT considering pressure, temperature, and density difference. The IFT system's sensitivity analysis revealed that the density difference of the phases is the most impactful parameter. Moreover, nearly all the collected experimental data is considered trustworthy for building the model. In conclusion, ANFIS-PSO was suggested to be more trustworthy than ANFIS-GA in relation to determination coefficient (ANFIS-PSO: 0.88 and ANFIS-GA: 0.78), and average absolute relative error (ANFIS-PSO: 11.08 and ANFIS-GA: 21.98) when validated against test data. The results obtained indicate that the ANFIS-PSO model developed can reliably be utilized to precisely estimate N<sub>2</sub>-crude oil IFT for EOR studies and optimizations tasks.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"140 ","pages":"Article 104056"},"PeriodicalIF":4.1,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144864578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tertiary water treatment with Sargassum spp Filter: Pollutant hydraulic loss coefficient and removal capacity 马尾藻滤池三级水处理：污染物水力损失系数及去除能力

IF 4.1 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-08-12 DOI: 10.1016/j.pce.2025.104059

Dafne García-Trejo , Jorge A. Segura Meza , Sandra L. Rosales-Silvestre , Omar E. Cabrera-Lumbreras , Faustino De Luna-Cruz , Víctor M. Ortiz-Martínez , Maritza Liliana Arganis-Juárez , Margarita E. Preciado , José L. López-Miranda , Valeria Chávez , Edgar Mendoza , Miriam Estévez-González , Rodolfo Silva

{"title":"Tertiary water treatment with Sargassum spp Filter: Pollutant hydraulic loss coefficient and removal capacity","authors":"Dafne García-Trejo , Jorge A. Segura Meza , Sandra L. Rosales-Silvestre , Omar E. Cabrera-Lumbreras , Faustino De Luna-Cruz , Víctor M. Ortiz-Martínez , Maritza Liliana Arganis-Juárez , Margarita E. Preciado , José L. López-Miranda , Valeria Chávez , Edgar Mendoza , Miriam Estévez-González , Rodolfo Silva","doi":"10.1016/j.pce.2025.104059","DOIUrl":"10.1016/j.pce.2025.104059","url":null,"abstract":"<div><div>This study evaluates the hydraulic performance and pollutant removal efficiency of a tertiary water treatment system that uses a <em>Sargassum</em> spp. Filter, focusing on its application in water reuse systems. The primary objective was to establish a relationship between the local loss coefficient (<em>K</em>) and a normalized Reynolds number (Re<sub><em>n</em></sub>) to better understand the hydraulic behaviour of the system under varying flow conditions. The <em>K-Re</em><sub><em>n</em></sub> relationship, adjusted with experimental data, was used as input in a numerical model developed in EPANET. The model accurately reproduced the experimental results, demonstrating the system's potential for small-scale water treatment applications. Results indicate that a sargassum filter can effectively treat a daily flow rate of 0.003 l/s (equivalent to a four-person household) with minimal energy loss. However, as the flow rate increased to 0.01 l/s, significant head losses (up to 4 m) were observed, resulting in a 74 % reduction in filtration efficiency. These findings underscore the importance of optimizing filter design and maintenance for scalability in community-level water treatment. This study highlights the potential of sargassum as a sustainable biofilter for improving water quality, while addressing challenges related to hydraulic performance and energy efficiency. Beyond its technical role, it promotes managing sargassum not as waste, but as a valuable resource. Treating it as harvestable biomass—like a marine fishery—can help mitigate coastal impacts and support local economies, aligning ecological management with sustainable water treatment.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"140 ","pages":"Article 104059"},"PeriodicalIF":4.1,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144852158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A sustainable approach to evaluating groundwater contamination in the Jharsuguda district, Odisha, India, using a multivariate statistical approach, modelling, and viable remedial measures 利用多元统计方法、建模和可行的补救措施，对印度奥里萨邦Jharsuguda地区的地下水污染进行可持续评价

IF 4.1 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-08-12 DOI: 10.1016/j.pce.2025.104060

Pritisha Barik, Trinath Biswal

{"title":"A sustainable approach to evaluating groundwater contamination in the Jharsuguda district, Odisha, India, using a multivariate statistical approach, modelling, and viable remedial measures","authors":"Pritisha Barik, Trinath Biswal","doi":"10.1016/j.pce.2025.104060","DOIUrl":"10.1016/j.pce.2025.104060","url":null,"abstract":"<div><div>This study was carried out by collecting groundwater samples from various important locations in the Jharsuguda district, Odisha, India. From physicochemical parameters, it was found that the groundwater in most of the areas is heavily contaminated. From the study of bacteriological analysis, it was observed that only five groundwater samples from the residential colony area are contaminated by fecal coliform. Using a scree plot, PCA extracted the first three components with 69.19 %, 18.39 %, and 7.99 % of variance and retained the maximum variation of the data set. Only eight variables were responsible for 99.9 % of the cumulative percentage of variance based on FA. From the comparative analysis, it was found that the performance of a deep neural network (DNN) is comparatively more consistent and clearer than an artificial neural network (ANN) model in predicting the targeted outputs. From the DNN model, the R<sup>2</sup> value is 0.91, which shows that there is a good variance in the observed data, but in the ANN model, the R<sup>2</sup> value is 0.79. The purpose of this study is to identify the major pollutants that cause groundwater contamination, investigate pollution trends, and provide credible forecasting tools to help prevent groundwater contamination and provide sustainable resource management. This work facilitates clear understanding regarding the level of contamination of groundwater and specific pollutants that are maximally responsible for the contamination. It also promotes public wellness and sustainable water management in the study area. To remove fecal coliform, chlorination is suggested to be the most viable process.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"140 ","pages":"Article 104060"},"PeriodicalIF":4.1,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144842274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding the impact of climate change on future climate extremes in the Gandak River Basin: A multi-model ensemble-based analysis 了解气候变化对甘达克河流域未来极端气候的影响：基于多模式集合的分析

IF 4.1 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-08-12 DOI: 10.1016/j.pce.2025.104049

Arushi Jha , Naresh Chandra Gupta , Joshal Kumar Bansal

{"title":"Understanding the impact of climate change on future climate extremes in the Gandak River Basin: A multi-model ensemble-based analysis","authors":"Arushi Jha , Naresh Chandra Gupta , Joshal Kumar Bansal","doi":"10.1016/j.pce.2025.104049","DOIUrl":"10.1016/j.pce.2025.104049","url":null,"abstract":"<div><div>The study analyzed the spatio-temporal variability of extreme temperature & precipitation indices in the Gandak River Basin (GRB) under two socio-economic scenarios (SSP245 and SSP585) utilizing CMIP6 multi-model ensemble projection for the Near-Term (2020–2050) & Far-Term (2060–2090). Consecutive Dry Days are likely to decrease slightly in all areas, whereas Consecutive Wet Days indicate uniform increasing percentage of change w.r.t. baseline, particularly in SSP585 scenario. Himalayan ranges, especially the Dhaulagiri and Annapurna, are likely to experience up to 50–90 % increase in CWD in far-term under SSP585. RX1D and RX5D indices indicate decreasing percentage of change w.r.t. the baseline, but with extreme spatial heterogeneity between the higher elevations and lower plains. Trend analysis using Mann-Kendall test and Sen's slope show significant increasing trend in RX1D & RX5D for GRB. Temperature indices exhibit a prominent trend of warming across the basin, with the most pronounced in the Central Himalayas in both the scenarios, with the maximum magnitude observed in the SSP585 Far-Term scenario. The Far-Term under SSP585 shows the most severe warming, with the highest temperature rise at the maximum level of up to 2.41 °C/year and the rise in monthly minimum value of daily maximum temperature up to 1.91 °C/year. These insights have direct implications for the management of water resources and disaster preparedness in the GRB. Extended wet spell conditions may pose an increased flood threat, while increasing warmth may aggravate water scarcity and ecosystem disruptions. This calls for adaptive management strategies to enhance climate resilience in the region.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"141 ","pages":"Article 104049"},"PeriodicalIF":4.1,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144878356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of bauxite mining on vegetation health in Jamaica: NDVI and aerosol optical depth analysis using remote sensing 铝土矿开采对牙买加植被健康的影响：NDVI和遥感气溶胶光学深度分析

IF 4.1 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-08-12 DOI: 10.1016/j.pce.2025.104058

Damar Wilson, Birhan Getachew Tikuye, Gebrekidan Worku Tefera, Ram Lakhan Ray

引用次数: 0