Environmental Earth Sciences最新文献

{"title":"Optimizing rainfall prediction in central thailand with weather radar and machine learning during the monsoon","authors":"Nattapon Mahavik,&nbsp;Apichaya Kangerd,&nbsp;Fatah Masthawee,&nbsp;Sarawut Arthayakun,&nbsp;Sarintip Tantanee","doi":"10.1007/s12665-025-12149-9","DOIUrl":"10.1007/s12665-025-12149-9","url":null,"abstract":"<div><p>Precise rainfall estimation is needed for disaster mitigation, water resource management, and sustainable agricultural practices, especially in tropical countries such as Thailand during the monsoon season. Although ground-based weather radar provides valuable spatial and temporal rainfall information, discrepancies can arise from biases related to attenuation, drop size variability, and beam shape. This study assesses the capability of machine learning (ML) algorithms to improve radar rainfall estimation by mitigating these biases. We evaluated five machine learning models—Linear Regression (LN), Decision Tree (DT), Random Forest (RF), Gradient Boosting (GBR), and XGBoost (XG)—utilizing gauged rainfall data and radar predictions from the Phitsanulok radar during four monsoon episodes in 2018. The investigation included three Z-R relationships—Marshall/Palmer, Rosenfeld, and Summer Deep Convective—evaluated over hourly and daily timescales, utilizing radar data at Constant Altitude Plan Position Indicator (CAPPI) heights. The results indicate more robust correlations for daily precipitation, especially concerning the ZR MP connection at CAPPI 2 km within a 120 km radar range. The RF model outperformed others in hourly rainfall prediction owing to its effective ensemble method for handling non-linear correlations, whilst the LN model excelled in daily rainfall due to its simplicity and stability in data aggregation. Furthermore, DT with ZR MP significantly reduced discrepancies in daily rainfall, whereas GBR shown enhanced efficacy for hourly rainfall. Machine learning models successfully surpassed traditional zero-regression relationships in diminishing Mean Field Bias (MFB) and improving predictive accuracy. This study illustrates the transformative capacity of machine learning models for enhancing radar rainfall estimation in monsoon-impacted areas. This study enhances forecasting, operational meteorology, and disaster preparedness in tropical regions by incorporating sophisticated machine learning algorithms into radar-based quantitative precipitation estimation (QPE).</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143489427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Development of site suitability framework for urban greenspace: a case study of Sikar city, Rajasthan, India","authors":"Akanksha Sangwan,&nbsp;Vijay Anand,&nbsp;Nand Kumar,&nbsp;Ashwani Kumar,&nbsp;Mahesh Kumar Jat,&nbsp;Rayees Ahmed","doi":"10.1007/s12665-024-12037-8","DOIUrl":"10.1007/s12665-024-12037-8","url":null,"abstract":"","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the incision rates of the river channel with the approach of dendrogeomorphology (case study: Lavij stream, Iran)","authors":"Mohammad Mahdi Hosseinzadeh,&nbsp;Reza Esmaili,&nbsp;Saeedeh Matsh Beyranvand,&nbsp;Taher Valipor","doi":"10.1007/s12665-025-12147-x","DOIUrl":"10.1007/s12665-025-12147-x","url":null,"abstract":"<div><p>One of the changes affecting the channel morphology is the bed channel changes. In general, the factors affecting incision can be divided into two natural and human groups. Incision can cause many problems for the river ecosystem.The study area was located in the downstream of the Lavij stream catchment (Mazandaran, Iran), where three sites were selected to study incision and avulsion channel. The channel changes were obtained using a tree ring analysis, which was used to determine the age of tree establishment and, therefore, date fluvial surfaces colonized by arboreal vegetation. In this study, two dendrochronological methods, including age measurement from 23 cores prepared from alder trees and an age determination method based on tree diameter, were used to assess the channel’s incision rate. The abandonment time of the abandoned channel was evaluated using dendrogeomorphological techniques. The analysis revealed that the erosion rate of the active channel bed, in relation to the abandoned channel, indicated a riverbed lowering of approximately 4.35–5.2 cm per year in the examined sections. The research highlights the significant role that large and rare floods have played in shaping river morphology. Specifically, it indicates that an incision in the riverbed can be attributed to historical flooding events characterized by a discharge of 175 m³/s, which has a return period of approximately 100 years.Also the <i>Alnus glutinosa</i> tree can be used as a suitable species in dendrogeomorphology due to its abundance in the region, its fast growth and the presence of annual rings. The limitation of using the <i>Alnus glutinosa</i> tree in the study area is that the average life of the tree in the area is about 50 years.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to: Nitrogen, phosphorus and sulfur mineralization as affected by soil depth in rangeland ecosystems","authors":"Mohsen Jalali,&nbsp;Shahriar Mahdavi,&nbsp;Faranak Ranjbar","doi":"10.1007/s12665-025-12154-y","DOIUrl":"10.1007/s12665-025-12154-y","url":null,"abstract":"","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative scoring indicators methods of different soil types to modelling soil quality through constructing Minimum Data Set in the Doukkala irrigated perimeter—Western region of Morocco","authors":"Khalid Ibno Namr,&nbsp;Sanae Bel-Lahbib,&nbsp;Badr Rerhou,&nbsp;Yassine Al Masmoudi,&nbsp;Hasna Hajjaj,&nbsp;Brahim Ait Said","doi":"10.1007/s12665-025-12115-5","DOIUrl":"10.1007/s12665-025-12115-5","url":null,"abstract":"<div><p>The assessment of soil quality is crucial for the sustainable development of agriculture in semi-arid regions. This study highlights the importance of considering a varied selection of indicators when assessing soil quality by examined the influence of soil type factor on the modelling Soil Quality Index (SQI) using Minimum Data Sets (MDS) constructed as part of the Total Data Set (TDS) through two methods, namely, additive (SQI_A) and weighted (SQI_W). A total of 716 soil samples (0–30 cm) collected from Doukkala irrigated perimeter of Morocco, were analyzed for physicochemical properties (Texture, pH, EC, SOM, CaCO₃, CEC, macronutrients and micronutrients). These samples represented six soil type, including Vertisols, Aridisols, Histosols, Entisols, Mollisols, and Oxisols. Moreover, by employing principal component analysis (ACP), we established an MDS that encapsulated the essential indicators for the soil quality assessment. After determined the MDS contribution in the modelling of the SQIs for each soil type separately, a soil quality maps were generated by grouping together all the SQIs models generated for all soil type. The performance of each model is validated by the Sensitivity Index and the correlation with crop yields. Using both Linear and Non-Linear models for scoring function, the MDS includes Sand, EC, P₂O₅, CaO, CaCO₃, NO₃-N, NH₄-N, Cu, Fe, and Zn from twenty indicators of the TDS. The results showed that these MDS significantly varied depending on soil type and the soil quality maps generated based on SQI estimated by the Non-Linear additive method (SQI_A-NL) showed moderate a high quality in the studied area than the SQI by weighted method. This finding found that the individual contribution of selected the MDS is strongly affected by soil types and the models used to indicators transformed and the SQI computation.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimation of soil liquefaction using artificial intelligence techniques: an extended comparison between machine and deep learning approaches","authors":"Eyyüp Hakan Şehmusoğlu,&nbsp;Talas Fikret Kurnaz,&nbsp;Caner Erden","doi":"10.1007/s12665-025-12116-4","DOIUrl":"10.1007/s12665-025-12116-4","url":null,"abstract":"<div><p>This study investigates the effectiveness of various deep learning (DL) algorithms in predicting soil liquefaction susceptibility. We explore a spectrum of algorithms, including machine learning models such as Support Vector Machines (SVMs), K-Nearest Neighbors (KNN), and Logistic Regression (LR), alongside DL architectures like Convolutional Neural Networks (CNNs), Long Short-Term Memory networks (LSTMs), Bidirectional LSTMs (BiLSTMs), and Gated Recurrent Units (GRUs). The performance of these algorithms is assessed using comprehensive metrics, including accuracy, precision, recall, F1-score, receiver operating characteristic (ROC) curve analysis, and area under the curve (AUC). Cross-entropy loss is employed as the loss function during model training to optimize the differentiation between liquefiable and non-liquefiable soil samples. Our findings reveal that the GRU model achieved the highest overall accuracy of 0.98, followed by the BiLSTM model with an accuracy of 0.95. Notably, the BiLSTM model excelled in precision for class 1, attaining a score of 0.96 on the test dataset. These results underscore the potential of both GRU and BiLSTM models in predicting soil liquefaction susceptibility, with the BiLSTM model’s simpler architecture proving particularly effective in certain metrics and datasets. The findings of this study could assist practitioners in seismic risk assessment by providing more accurate and reliable tools for evaluating soil liquefaction potential, thereby enhancing mitigation strategies and informing decision-making in earthquake-prone areas. This study contributes to developing robust tools for liquefaction hazard assessment, ultimately supporting improved seismic risk mitigation.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-025-12116-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterization of hydrocarbon bearing proterozoic reservoir of Vindhyan Basin, India","authors":"Rajesh Pandey,&nbsp;Sanjay Ojha","doi":"10.1007/s12665-025-12089-4","DOIUrl":"10.1007/s12665-025-12089-4","url":null,"abstract":"<div><p>A commercial gas discovery has been confirmed from the Paleoproterozoic volcaniclastic Jardepahar Formation in the Son Valley sector, Vindhayan Basin. To better understand the characteristic of the pay zone and associated source rock, geochemical, sedimentological and source rock analysis were conducted on the cutting samples collected during the drilling of Hatta#D. Sedimentological, geochemical and electro-log signatures enabled the classification of the porcellanite of Jardepahar Formation into three chert-dominated (porcellanite) units and a dolomitic limestone unit. The middle unit, composed of calcareous bedded chert with carbonaceous matter and micro- to nanoscale fractures, has generated significant attention due to the hydrocarbon discovery in the Hatta field by the Oil and Natural Gas Corporation (ONGC) in central India. The textural characteristics of clasts indicates minimal transportation. Geochemical analysis of the middle unit indicates higher biological productivity and more favourable hydrocarbon source facies compared to the upper and lower units. The sediments of the Jardepahar Formation were derived from high-potassic felsic to intermediate volcanic source (s) associated with an active continental margin and were deposited in an anoxic environment. Trace elements analysis indicates the absence of biogenic fractions and minimal chemical alteration. The middle unit not only exhibits source rock potential but also act as reservoir, with the overlying dolomitic limestone serving as an effective top seal.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Seismic microzonation of urban site using the target spectral ratio method (THVSR): a case study of Algiers city","authors":"Linda Chibane,&nbsp;Nasser Laouami,&nbsp;Mustapha Hellel,&nbsp;Mohamed Yacine Tebbouche","doi":"10.1007/s12665-025-12133-3","DOIUrl":"10.1007/s12665-025-12133-3","url":null,"abstract":"<div><p>This paper presents a seismic microzonation study of the urban area of Algiers city in Algeria, using 640 microtremor measurements and site classification based on target horizontal over vertical spectral ratios (THVSR) approach. Northern Algeria lies along the Africa-Eurasia plate boundary, and the Algiers city is located in one of the most seismically active areas in the western Mediterranean. The area's geological context suggests the prevalence of alluvial soils, especially in its central part, which undergoes significant site amplification. The seismic design codes use the concept of soil class to categorize common-soil conditions into broad classes bounded by typical average shear wave velocities in the top 30 m (V_s30). Geophysical methods involving boreholes are required for the measurement of V_s30, however, their prohibitive cost makes them unappealing. In order to prepare a first order seismic microzonation map for the urban area of Algiers city, an alternative new classification scheme based on THVSR is performed over 640 microtremor measurements. The results of the classification of sites based on THVSR consist of providing the site class according to the recent updated version of Algerian Seismic Code (RPA, 2024), the main frequency of the site, and an average estimate of V_s30. To assess the reliability of the THVSR approach, microtremor measurements were compared with shear-wave velocity profiles at 29 sites where V_s30 data were available. In the absence of extensive geophysical surveys, the proposed technique provides a cost-effective and efficient tool for seismic microzonation, with direct applications to urban planning.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Increased seismicity at the beginning of the twentieth century in the intraplate region of Czechia and neighboring areas in Central Europe","authors":"Renata Lukešová,&nbsp;L. Fojtíková,&nbsp;J. Vackář,&nbsp;J. Málek","doi":"10.1007/s12665-025-12153-z","DOIUrl":"10.1007/s12665-025-12153-z","url":null,"abstract":"","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigations of radioactive and geotechnical aspects of a section of the Western Desert Railway in Egypt","authors":"Mohamed A. H. Sakr,&nbsp;Mohamed Y. Hanfi,&nbsp;Ali E. Omar,&nbsp;Medhat El Rayess,&nbsp;Diaa A. Saadawi,&nbsp;Mohamed S. Ahmed,&nbsp;Mayeen Uddin Khandaker,&nbsp;Fabrizio Ambrosino,&nbsp;Sherif A. Taalab","doi":"10.1007/s12665-025-12141-3","DOIUrl":"10.1007/s12665-025-12141-3","url":null,"abstract":"<div><p>The aim of this research is to assess the risk of radioactivity in the sand along the high-speed railway and its surrounding areas in Egypt. The research revealed that the activity levels of radionuclides ²³²Th and ²³⁸U in sand were below the worldwide averages of 45 and 33, respectively. Despite this, the concentration of the potassium was higher than the global mean of 412 Bqkg^− 1. The ⁴⁰K, ²³²Th, and ²³⁸U concentrations were 593 ± 16, 17 ± 0.9, and 14 ± 0.5 Bqkg^− 1, respectively. Based on these results, excess lifetime cancer risk (ELCR), annual effective dose (AED), annual gonadal dose equivalent (AGDE), and the absorbed dose rate (D_air) were determined. Various field and laboratory tests were performed to assess the site selection of the high-speed railway for sustainable development, including geotechnical tests at thirty-five drill holes, the microtremor analysis using horizontal to vertical spectral ratios (HVSR) method at ten locations, and radiological measurements at thirty samples. The geotechnical investigation classified the fine-grained soil as having medium to high plasticity and the coarse-grained soil as poorly graded. The rock samples were classified as weak to strong based on their unconfined compressive strength. The related amplification of ground motion (Ao) and the resonance frequency (Fo) were used to determine the study site effects. The study found that the fundamental frequency at all points varied between 1.5 and 1.9, and the associated H/V amplitude level (Ao) ranged from 3 to 4. The relationship between the radionuclides and the relevant radiological hazard variables was examined using Multivariate statistical methods, such as hierarchical cluster analysis (HCA), principal component analysis (PCA), and Pearson correlation. The study concluded that the sand on the high speed train route poses an insignificant hazard to the public.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}