Physics and Chemistry of the Earth最新文献_第4页

Innovative drought analysis via groundwater information

IF 3 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-03-05 DOI: 10.1016/j.pce.2025.103901

Veysi Kartal

{"title":"Innovative drought analysis via groundwater information","authors":"Veysi Kartal","doi":"10.1016/j.pce.2025.103901","DOIUrl":"10.1016/j.pce.2025.103901","url":null,"abstract":"<div><div>Drought hazard has complicated features related to climatic and spatio-temporal characteristics, making it challenging to accurately identify and track. Contemporary approaches to drought monitoring generally use standardized drought indices due to their practical utility. Despite the availability of a various array of drought indices, their application introduces complexities in data mining and decision-making processes, potentially resulting in confused outcomes. However, this research developed a new hybrid drought index Multivariate Cluster Ensemble Drought Evaluation Index (MCEDEI) based on machine learning technique cluster analysis using groundwater data of the KB region of Türkiye to assess the groundwater drought. For the development of MCEDEI, this study used 540-time series observations (range: 1978–2022) of groundwater data from five stations to evaluate drought characteristics. Furthermore, this study used steady-state probability to determine the trend and long-term probabilities of the drought index in the KB region of Türkiye. The results show that the NN (near normal) class was found to be dominant with a probability of 70.41% on a 1-month time scale, while NN was found to be dominant with a high probability of 65.94% on a 3-month time scale. The probability of the NN class was found to be equally high when the time scale was extended to 6, 9 and even 48 months. MD (moderate drought) remains important, and SD (severe drought) increases compared to SW (severe wet) classes. Findings shpw that there are significant changes in groundwater behaviour at different time scales. Short-term stability is characterized by the dominance of the NN class, while long-term scales show a trend towards extreme dry and wet conditions with a decrease in neutrality. As a result, Türkiye may face drought challenges in the future based on the findings.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"139 ","pages":"Article 103901"},"PeriodicalIF":3.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592408","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

Determination of hydroelectric capacity for ungauged catchments: A case study in Turkey

IF 3 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-03-05 DOI: 10.1016/j.pce.2025.103897

Ayca Aytac

{"title":"Determination of hydroelectric capacity for ungauged catchments: A case study in Turkey","authors":"Ayca Aytac","doi":"10.1016/j.pce.2025.103897","DOIUrl":"10.1016/j.pce.2025.103897","url":null,"abstract":"<div><div>One major obstacle to using flow duration and mass flow curves in the design of hydropower capacity, water allocation, energy output, etc. is the absence of data and information, especially at the tributary reaches. For hydropower design to accurately estimate generation capacity and protect the environment, long-term resource availability—represented by the discharge—must be precisely calculated. The gauged flow record will be used to predict discharges as soon as long-term gauged flows for the site catchments are available. Methods for estimating resource availability at the ungauged location are necessary, though, because the majority of river reaches are ungauged. A single or more long-term gauged catchments that are assumed to have similar hydrological characteristics to the ungauged location are often the source of local hydrometric data. The use of resource availability estimation techniques for hydropower design will be covered in this study, along with the potential use of local hydrometric data to support these estimations. We'll use a case study catchment in Turkey to talk about the uncertainties surrounding these methods.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"139 ","pages":"Article 103897"},"PeriodicalIF":3.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580278","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

Mechanical properties and stress-strain relationship of early strength polymer-modified concrete at different ages

IF 3 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-02-28 DOI: 10.1016/j.pce.2025.103895

Jiawei Gu , Jia Xing , Jialing Che , Siew Choo Chin

{"title":"Mechanical properties and stress-strain relationship of early strength polymer-modified concrete at different ages","authors":"Jiawei Gu , Jia Xing , Jialing Che , Siew Choo Chin","doi":"10.1016/j.pce.2025.103895","DOIUrl":"10.1016/j.pce.2025.103895","url":null,"abstract":"<div><div>Early-strength polymer-modified concrete (ES-PMC) has demonstrated considerable promise for rapid repair applications, where its performance is critical to ensuring the safety and quality of concrete structure construction. This study examines the mechanical properties and stress-strain behavior of ES-PMC at various curing ages (1.5 h, 2 h, 3 h, 1 day, 3 days, 7 days, and 28 days), with early-strength concrete (ESC) serving as the control group. The results indicate that ES-PMC generally surpasses ESC in terms of cube compressive strength, uniaxial compressive strength, and flexural strength, achieving values of 35.8 MPa, 25.4 MPa, and 4.4 MPa, respectively, at 2 h. Furthermore, a strong linear correlation is observed between the cube compressive and uniaxial compressive strengths of both ESC and ES-PMC. Under uniaxial loading, as the curing age increases, both materials undergo greater damage, with peak stress, elastic modulus, and toughness increasing over time, while peak strain, ultimate strain, and relative energy absorption capacity decrease. Additionally, a modified stress-strain model for ES-PMC was developed, incorporating age-related factors to accurately depict its stress-strain behavior across different ages. This model provides a theoretical basis for promoting its application in practical engineering and predicting its performance at various stages.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"139 ","pages":"Article 103895"},"PeriodicalIF":3.0,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552639","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

Refining historical forest cover mapping and change analysis with time series algorithm-based samples transfer

IF 3 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-02-23 DOI: 10.1016/j.pce.2025.103893

Qianhuizi Guo , Ling Han , Liangzhi Li , Songjie Qu

{"title":"Refining historical forest cover mapping and change analysis with time series algorithm-based samples transfer","authors":"Qianhuizi Guo , Ling Han , Liangzhi Li , Songjie Qu","doi":"10.1016/j.pce.2025.103893","DOIUrl":"10.1016/j.pce.2025.103893","url":null,"abstract":"<div><div>Accurate forest cover maps are crucial for ecosystem monitoring and sustainable land use planning. Traditionally, supervised learning methods usually rely on high-quality ground-truth data, which makes it difficult to apply when historical data collection is costly. This study investigates the effectiveness of the LandTrendr algorithm in long-term sample transfer management. First, we assessed the performance of four commonly used machine learning models (random forest, artificial neural network, support vector machine, and XGBoost) in classifying land cover in the reference year. Then, by integrating the best model's classification results with the LandTrendr algorithm, we simplified the process of manually selecting sample points by identifying stable pixel samples, and generated a long-term dataset consistent across time scales, facilitating land cover mapping for historical periods and providing benchmark data for forest cover change analysis. The results show that, among the four models, XGBoost achieved the highest classification accuracy (overall accuracy OA = 0.87, Kappa coefficient = 0.85). By comparing the sample transfer strategy to the traditional model transfer method, we found that the LandTrendr based sample transfer method consistently achieved over 85% accuracy in forest classification throughout the study period, outperforming the direct model transfer approach. Although accuracy decreased over time, the sample transfer method demonstrated stronger consistency. Overall, this study simplifies the process of continuous field data collection by utilizing LandTrendr to transfer stable pixel samples across multiple years, providing methodological support for the dynamic analysis of forest cover changes in Shaanxi Province over time.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"139 ","pages":"Article 103893"},"PeriodicalIF":3.0,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552638","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

Wildfire-derived deforestation, climate, and biodiversity variables analysis in Cambodia

IF 3 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-02-21 DOI: 10.1016/j.pce.2025.103894

Bijay Halder , Biswarup Rana , Liew Juneng , Fahad Alshehri , Kaywan Othman Ahmed , Malay Pramanik , Minhaz Farid Ahmed , Chaitanya Baliram Pande , Shafik S. Shafik , Zaher Mundher Yaseen

{"title":"Wildfire-derived deforestation, climate, and biodiversity variables analysis in Cambodia","authors":"Bijay Halder , Biswarup Rana , Liew Juneng , Fahad Alshehri , Kaywan Othman Ahmed , Malay Pramanik , Minhaz Farid Ahmed , Chaitanya Baliram Pande , Shafik S. Shafik , Zaher Mundher Yaseen","doi":"10.1016/j.pce.2025.103894","DOIUrl":"10.1016/j.pce.2025.103894","url":null,"abstract":"<div><div>In Southeast Asia, Cambodia has the highest rate of wildfire, and during the early 2000s, fire activity has dramatically grown. Since wildfires are frequently multidimensional, it is still challenging to assess the relative significance of each component. Assessment of the environmental condition is highly dependent on forest fire, climate, biological, and biophysical aspects investigation using Google Earth Engine (GEE) and MODIS data. This study created a framework for identifying concerns connected to forest fires in Cambodia between 2005 and 2023. There were 975.90 km<sup>2</sup> of observed afforestation and 35561.33 km<sup>2</sup> of deforested area due to the forest fire. The annual average rainfall observed between 2005 and 2023 shows 9.76 mm decreased while evapotranspiration increased by 24.85 mm. While Cambodia's surface temperature decreased by 2.72 °C, latent heat (LE) increased from 0.14 W/m<sup>2</sup> (2005) to 0.22 W/m<sup>2</sup> (2023). Surface temperature and precipitation have negative correlation values of −0.48 (2005), −0.55 (2010), −0.54 (2015), −0.52 (2020), and −0.38 (2023). Forest fires have had a major impact on Cambodia's ecosystem and climate. This study enhances the present comprehension of the causes of forest fires in Cambodia, and the methodological framework created has great potential for application to other regions of the world that are prone to forest fires.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"139 ","pages":"Article 103894"},"PeriodicalIF":3.0,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480290","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

Rheology and electrical conductivity of upper mantle: Recent progress and perspectives

IF 3 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-02-20 DOI: 10.1016/j.pce.2025.103891

Man Li , Shi Li

引用次数: 0

Multi-temporal remote sensing and geospatial analysis for urban ecosystem service dynamics: A three-decade assessment of land surface transformation in Jeddah, Saudi Arabia

IF 3 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-02-18 DOI: 10.1016/j.pce.2025.103892

Hamad Ahmed Altuwaijri , Abdulla Al Kafy , Zullyadini A. Rahaman

{"title":"Multi-temporal remote sensing and geospatial analysis for urban ecosystem service dynamics: A three-decade assessment of land surface transformation in Jeddah, Saudi Arabia","authors":"Hamad Ahmed Altuwaijri , Abdulla Al Kafy , Zullyadini A. Rahaman","doi":"10.1016/j.pce.2025.103892","DOIUrl":"10.1016/j.pce.2025.103892","url":null,"abstract":"<div><div>The rapid transformation of Earth's surface through urbanization presents critical challenges for ecosystem sustainability and climate resilience. This study employs advanced remote sensing and geospatial technologies to monitor and assess the spatiotemporal dynamics of urban ecosystem services in Jeddah, Saudi Arabia, over three decades (1993–2023). Using multi-temporal Landsat imagery analyzed through Support Vector Machine algorithms in <span>Google</span> Earth Engine, we achieved high-accuracy (>85%) land use/land cover classification to quantify urban expansion patterns and their impact on ecosystem service values (ESVs). The analysis revealed significant urban intensification, with built-up areas expanding by 145.70 km<sup>2</sup>, resulting in the conversion of 130.74 km<sup>2</sup> of barren soil, 7.14 km<sup>2</sup> of vegetation, and 7.71 km<sup>2</sup> of water bodies. This transformation led to a substantial reduction in ESVs totaling $477.48 million, with the most significant impacts on hydrological regulation (-$114.25 million), waste treatment (-$97.05 million), and biodiversity protection (-$72.78 million) services. The spatiotemporal analysis demonstrated clear patterns of ecosystem service degradation, particularly in the city's central regions. Our findings provide crucial insights for achieving UN Sustainable Development Goals (Target 11.1, 6.6., 13.1, 3.9 and 15.1) by quantifying the environmental costs of rapid urbanization and informing evidence-based urban planning strategies. The study's innovative integration of remote sensing, machine learning, and ecosystem service valuation offers a robust framework for monitoring urban ecosystem dynamics and supporting sustainable urban development in rapidly growing arid regions.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"139 ","pages":"Article 103892"},"PeriodicalIF":3.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480291","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

Virtual arable land trade reveals inequalities in the North China Plain: Regional heterogeneity and influential determinants

IF 3 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-02-17 DOI: 10.1016/j.pce.2025.103889

Chuyao Weng , Yuping Bai , Yecui Hu , Wanen Cai , Shibin Zhang , Jiayao Shu

{"title":"Virtual arable land trade reveals inequalities in the North China Plain: Regional heterogeneity and influential determinants","authors":"Chuyao Weng , Yuping Bai , Yecui Hu , Wanen Cai , Shibin Zhang , Jiayao Shu","doi":"10.1016/j.pce.2025.103889","DOIUrl":"10.1016/j.pce.2025.103889","url":null,"abstract":"<div><div>Arable land supply in North China Plain (NCP) has significantly contributed to national food security and economic development in China. To clarify the complex arable land use relationships between NCP and other provinces in China, this study applied an environmentally extended multi-regional input-output model to analyze the spatio-temporal variation characteristics of virtual arable land (VAL) trade in China associated with the food supply in NCP from 2007 to 2017. The driving forces of VAL trade were further identified using structural decomposition analysis (SDA). The results showed that NCP exported 10.280 Mha of VAL to other provinces in China in 2017, with a decrease of 2.85% compared to 2007. At the same time, NCP imported 13.799 Mha of VAL from other provinces, with an increase of 4.39%. The top net importers from NCP were Zhejiang (1.355 Mha), Shanxi (0.862 Mha) and Guangdong (0.746 Mha), which are mostly located on the developed southern coast. The top three provinces of NCP that supplied the largest proportions of VAL to the outside were Henan (30.89%), Anhui (26.32%) and Hebei (22.93%). Meanwhile, the gap between per capita consumption-based arable land of provinces in NCP is decreasing. The findings of SDA revealed that resource intensity caused a reduction of 23.09 Mha of VAL, while per capita consumption caused an increase of 27.39 Mha of VAL from 2007 to 2017. This study helps support optimization of the interregional supply mode, promotion of resource complementarity and industrial cooperation among different regions, and achievement of sustainable agricultural development.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"138 ","pages":"Article 103889"},"PeriodicalIF":3.0,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438236","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 and cost-effective approach for efficient removal of Direct Blue-14 azo dye from wastewater using North American Zeolite for developing countries

IF 3 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-02-12 DOI: 10.1016/j.pce.2025.103888

Eman A. Al-Abbad , Rabia Rehman , Muhammad Sadiq Hussain

引用次数: 0

Climate change impact assessment on the river discharge of the upper Ganga Subbasin

IF 3 3区地球科学

Physics and Chemistry of the Earth Pub Date : 2025-02-11 DOI: 10.1016/j.pce.2025.103887

Rajeev Ranjan , Ajanta Goswami , C.S.P. Ojha , Sanjay Jain , Praveen Kumar Singh

{"title":"Climate change impact assessment on the river discharge of the upper Ganga Subbasin","authors":"Rajeev Ranjan , Ajanta Goswami , C.S.P. Ojha , Sanjay Jain , Praveen Kumar Singh","doi":"10.1016/j.pce.2025.103887","DOIUrl":"10.1016/j.pce.2025.103887","url":null,"abstract":"<div><div>The HKH region has many glaciers, providing fresh water to a large population downstream. The hydrological system is susceptible to climate change, especially temperature and precipitation. The present study aims to investigate the impact of climate change on the discharge and water balance of the snow-dominated upper Ganga Basin. The study utilized CMIP6 scenarios SSP2-4.5 and SSP5-8.5 with SPHY to simulate future hydrological changes in the basin. We calibrated and validated the model for simulation by using observed discharge data at Devprayag. The historical period (1985–2014) calibrated at Devprayag showed rainfall, snow, glacier, baseflow, and total discharge of 509.5 m3/s, 117.5 m<sup>3</sup>/s, 86.1 m<sup>3</sup>/s, 78.9 m<sup>3</sup>/s, and 792.0 m<sup>3</sup>/s, respectively. Contribution to total flow was 63.3% (rain), 10.8% (glaciermelt), 14.9% (snowmelt), and 10.0% (baseflow). Total runoff increased, with rainfall runoff, contributing the most, followed by glaciermelt runoff and baseflow, while snowmelt decreased. By the end of 21st century, temperature and precipitation is anticipated to rise under SSP5-8.5. The model estimates substantially impacted the basin hydrology and water balance, with a 50% increase in total flow in the Far Future (2076–2100). The snowmelt contribution is estimated to decrease by 57% by 2090, but the water supply is not expected to desrease. The analysis showed that snowmelt runoff will be reduced through time, and river discharge will be highly impacted by climate change. This work will improve understanding of water availability, snowmelt, and glacier melt dynamics, which, along with climate change, lead to sustainable water resource management.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"138 ","pages":"Article 103887"},"PeriodicalIF":3.0,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143427851","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