G. L. Reis, M. P. Campos, B. P. Mazzilli, J. K. Torrecilha, N. S. Oliveira, D. A. Silva, J. M. O. Marrichi, P. S. C. Silva
{"title":"Study of radon exposure, chemical and radiological characterization of spring mineral waters from Águas de Lindóia and Poços de Caldas, Brazil","authors":"G. L. Reis, M. P. Campos, B. P. Mazzilli, J. K. Torrecilha, N. S. Oliveira, D. A. Silva, J. M. O. Marrichi, P. S. C. Silva","doi":"10.1007/s12665-024-11859-w","DOIUrl":"10.1007/s12665-024-11859-w","url":null,"abstract":"<div><p>Hydrothermal resources are used for health prevention and treatment worldwide based on drinking, bathing, and immersing in thermal mineral waters. In some places, <sup>222</sup>Rn inhalation is also present. In Brazil, several locations apply thermal and hydrotherapies integrated into the Unified Health System as in Águas de Lindóia and Thermas Antonio Carlos in Poços de Caldas Town. The effective dose due to <sup>222</sup>Rn inhalation by the public and balneary workers, as well as the chemical and radiological characterization for these spas were evaluated. <sup>222</sup>Rn activity concentration was measured by using CR-39, elemental water composition by neutron activation, and radionuclides, by gamma espectrometry. Results showed that the <sup>222</sup>Rn activity concentration varied from 21 to 71 Bq m<sup>−3</sup> in the public areas of the balnearies and from 407 to 16,451 Bq m<sup>−3</sup> in the closed springs. Effective doses varied from 0.01 to 0.02 mSv y<sup>−1</sup> for the public, from 0.10 to 0.33 mSv y<sup>−1</sup> for works and from 0.03 to 4.95 mSv y<sup>−1</sup> for maintenance. No risk occurs for members of the public and workers due to radon inhalation, but care must be taken on behalf of the maintenance workers from Águas de Lindóia balneary. The water, for both balnearies, do not exceed the recommendation for drinking water for gross alpha and gross beta activities. Chemically, the water from Águas de Lindóia is classified as hypo saline and the water from Poços de Caldas, as low mineral content.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 19","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142414609","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":"Impact of ultrasonic power on evolution mechanism of cavitation effect in water-bearing coal pores microstructure","authors":"Lemei Zhang, Xiaoyang Guo, Cunbao Deng, Yujuan Wang, Liuni Song, Yanfeng Li, Jiahua Xu","doi":"10.1007/s12665-024-11867-w","DOIUrl":"10.1007/s12665-024-11867-w","url":null,"abstract":"<div><p>Ultrasonic waves have been explored for fracturing coal seams to enhance Coalbed Methane (CBM) permeability, yet the underlying mechanics of ultrasonic cavitation are not fully understood. This study investigates the effect of water-based ultrasonic cavitation on coal pores microstructure by employing fluid invasion methods and non-destructive X-ray testing to reconstruct coal pore microstructures. Additionally, numerical simulations of ultrasonic cavitation development were conducted. The research examines how ultrasonic power influence evolution mechanism of cavitation effects in pores microstructure of water-bearing coal. Such insights lay a theoretical groundwork for improved Water-Based Ultrasonic Cavitation Enhanced Coalbed Methane Recovery (WUC-ECBM). Findings suggest that coal pores microstructure with a fully connected pore topology are more conducive to ultrasonic cavitation. As ultrasonic exposure increases, the accumulated waves cause coal pore microstructure cavitation bubbles to oscillate violently and non-linearly, leading to their growth, development, and collapse. This results in high-energy microjets and shockwaves, creating a high-temperature, high-pressure environment (reaching up to 35.69 MPa and 2729.77 K) favorable for improving gas desorption and migration. Ultrasonic power adjusts the cavitation threshold and intensity, facilitating gas migration. This research aims to improve gas desorption and migration in coal by capitalizing on the mechanical, physical, and thermal effects of ultrasonic cavitation. These findings offer theoretical support for the effective implementation of WUC-ECBM<b>.</b></p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 19","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142414555","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}
K. Khusulio, Neeta Raj Sharma, Iswar Chandra Das, R. K. Setia, Akhilesh Pathak, Rohan Kumar
{"title":"Hydrochemical assessment of groundwater with special emphasis on fluoride in parts of Punjab and fluoride prediction using GIS and ML","authors":"K. Khusulio, Neeta Raj Sharma, Iswar Chandra Das, R. K. Setia, Akhilesh Pathak, Rohan Kumar","doi":"10.1007/s12665-024-11888-5","DOIUrl":"10.1007/s12665-024-11888-5","url":null,"abstract":"<div><p>The study focuses on assessing groundwater quality, with a special emphasis on fluoride contamination, in the Muktsar, Bathinda, and Moga of Punjab, India. Groundwater being a crucial resource for the region, faces contamination from both natural processes and anthropogenic activities. The study employs advanced techniques, including Geographic Information Systems (GIS) and machine learning models to predict fluoride contamination and assess the water quality index (WQI). The groundwater samples were systematically collected from 281 locations using GIS at approximately 5 km distance to ensure uniform distribution. The study aims to predict fluoride levels, various hydrochemical parameters and WQI to identify high-risk areas. Using Inverse Distance Weighting (IDW), the distribution of fluoride level and WQI was mapped, revealing varying concentrations across the study area. From the study, the Random Forest (RF) model identified key hydrochemical parameters influencing fluoride contamination. The RF model demonstrates high predictive accuracy for fluoride contamination, using the receiver operating characteristic (ROC) curves for validation and yield area under the curve (AUC) values of 82%, 81%, and 94% for Muktsar, Bathinda, and Moga districts, respectively. The novel integration of GIS with machine learning provides a robust framework offering valuable insights for water resource management. The results showed significant fluoride contamination in many areas, posing serious health risks like dental and skeletal fluorosis. The findings highlight the importance of addressing both natural and human-induced factors in managing groundwater quality, ensuring safe drinking water, and protecting public health in affected regions.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 19","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142414351","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":"Site selection for a high-level nuclear waste repository in Germany: a short guide","authors":"Michael O. Schwartz","doi":"10.1007/s12665-024-11880-z","DOIUrl":"10.1007/s12665-024-11880-z","url":null,"abstract":"<div><p>The government agency BGE started a site selection process for a high-level nuclear waste repository in 2017. The first phase of data screening was completed in 2020 and resulted in the identification of search areas covering 54% of the national territory. The actual second phase will be completed by 2027 or later, and the areas for aboveground investigations will be identified. The obligatory nongovernment input is provided by follow-up regional conferences, which are best supported by external scientific expertise. The large amount of text documents and maps and the interactive internet tools such a 3D viewer provide a suitable basis for external evaluation. The rationale is to apply stricter criteria than those used in the first phase to drastically reduce the size of the search area. With this updated set of criteria, the size of the search area can be reduced to 2,662 km<sup>2</sup> or 0.7% of the national territory. This size is convenient for detailed aboveground investigations such as high-density 3D seismic surveys.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 19","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-024-11880-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142414352","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":"Evaluation of infiltration models based on simple multicriteria decision making across various soil types and land uses in India","authors":"Tridiv Ghosh, Bappa Das, Debasish Roy, Debashis Chakraborty, Deepak Sethi","doi":"10.1007/s12665-024-11872-z","DOIUrl":"10.1007/s12665-024-11872-z","url":null,"abstract":"<div><p>Characterization of soil infiltration is crucial for designing and assessing hydrological processes. The study aimed to characterize the infiltration across various soil types (ranging from fine to moderately coarse in texture), agricultural land uses (including paddy fields, fallow lands, and upland crops) and major soil groups in India using Kostiakov, Philip, Horton, Holtan, Green and Ampt, and modified Kostiakov models. The mean basic infiltration rate was maximum in medium-texture soil (7.0 cm h<sup>− 1</sup>), followed by moderately fine (4.6 cm h<sup>− 1</sup>), fine (3.7 cm h<sup>− 1</sup>), and moderately coarse (3.2 cm h<sup>− 1</sup>) soils. Under paddy, fallow land uses and upland crops, the values of basic infiltration rate were 2.5, 4.1 and 5.3 cm h<sup>− 1</sup>, respectively. Across major soil groups, a significant variations in basic infiltration rates were observed among different soil types. Particularly, the highest infiltration rate was recorded in brown hill soil (8.1 cm h<sup>− 1</sup>); conversely, the lowest infiltration rate was in black soil (3.2 cm h<sup>− 1</sup>), attributed to the predominance of montmorillonite clay. By using rank-based multicriteria decision making, the Philip model was found to be the overall best-performing model. The Kostiakov model came in close second phase. Moreover, depending on the kind of land cover, Philip model outperformed other models, while Kostiakov fared better in upland crops and paddy fields. Additionally, Philip’s model also performed better than other infiltration models across a range of soil textures. The study emphasized the significane of choosing suitable models to appropriately quantify the infiltration across a range of hydrological and agricultural contexts by highlighting the effects of soil texture, land use, and soil type on infiltration rates.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 19","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142414541","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}
Nor Sidki-Rius, Marc Bascompta, Lluís Sanmiquel, Maria Teresa Yubero
{"title":"Definition of characteristic subsidence parameters. A case study in the Catalan potassium basin","authors":"Nor Sidki-Rius, Marc Bascompta, Lluís Sanmiquel, Maria Teresa Yubero","doi":"10.1007/s12665-024-11849-y","DOIUrl":"10.1007/s12665-024-11849-y","url":null,"abstract":"<div><p>Subsidence is one of the main environmental impacts of underground mining worldwide. Besides, the increasing complexity of underground mining due to greater depths and interaction with inhabited and environmentally sensitive areas can lead to challenges that may threaten the viability of mining due to phenomena such as subsidence. This research aims to increase the knowledge about surface subsidence due to underground mining, characterising the main factors that rule mining subsidence utilising an actual mine that extracts potash. The calculation methodology was based on 74 sections of the subsidence basin, using GPS measurements and the InSAR technique, with data collected over twelve nonconsecutive years from 1995 to 2021. Thus, three different active areas and one residual area were determined. Average boundary angles and their average distances of influence for the active regions have also been determined. Furthermore, using the least squares method, the subsidence basin curve was defined using a Gaussian function. The algorithm that governs the subsidence process has been successfully calculated, allowing the approximation of the deformation of any point within an area of interest. The novelty of this paper is twofold: the results obtained provide a detailed subsidence behaviour and a prediction model of the case study. Furthermore, the methodology implemented can be applied to other subsidence basins with mines in their area of influence. Hence improving the surface mining area’s safety levels and managing the environmental impacts.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 19","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-024-11849-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142414079","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":"Impact of recent floods on river morphology of Upper Krishna River: a decadal analysis using remote sensing approach","authors":"Preetam Choudhary, Adani Azhoni, C. P. Devatha","doi":"10.1007/s12665-024-11850-5","DOIUrl":"10.1007/s12665-024-11850-5","url":null,"abstract":"<div><p>Alluvial rivers are dynamic landscapes on the earth’s surface that evolve with time. While many studies have examined the immediate effects of floods on river channels, there is a lack of research that investigates the longer-term evolution of river morphology following such events. The present study was carried out on the Upper Krishna River which flows between the southern part of Maharashtra and the northern part of Karnataka states in India for 375 Km. The morphological parameters were analyzed for three decades (1991–2021) and the year 2019 with the highest flood level was also considered for change analysis. The assessment was done for change in active channel area, mean width, bank line migration, sinuosity index, and erosion-accretion. The land use classification was also analyzed for the study period to understand the exposure to future floods. The spatial data was retrieved from different satellite missions and analyzed with the help of Remote Sensing (RS) and Geographical Information System (GIS). The river was divided into seven segments (R1, R2, R3, R4, R5, R6, and R7) and bank lines were digitised manually to minimise possible errors. The results show that during the study period, the river channel has been modified in terms of active channel area expansion in the R1, R5, R6, and R7, and erosion was found the dominating process while the left bank was more erosive than the right bank of the river. The built-up area was seen going through a major expansion than any other land use class. The discharge and sediment data confirm the flood years (1994, 2005, 2006, and 2019) which accelerated the morphological activity in the river segment. The results of the study provide new insights related to short-term morphological changes in the Upper Krishna River and can be used by policymakers and managers to carry out future development plans and river training work at affected sites.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 19","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142413595","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}
Yaseen Ullah, Muhammad Shafique, Lei Yu, Nisar Ali Shah
{"title":"Landslides hazard, vulnerability and risk mapping in the data-poor region of northern Pakistan","authors":"Yaseen Ullah, Muhammad Shafique, Lei Yu, Nisar Ali Shah","doi":"10.1007/s12665-024-11858-x","DOIUrl":"10.1007/s12665-024-11858-x","url":null,"abstract":"<div><p>Landslides are devastating geological disasters in mountainous terrains around the world. The Chitral Valley, situated in the Eastern Hindu Kush Mountain ranges, is highly exposed to recurrent landslides posing a significant threat to urban growth, society, and the surrounding ecosystem. To assist in understanding and mitigating the landslide impacts, this study utilized statistical and geospatial modeling tools to develop a landslide hazard map and subsequently evaluate the vulnerability of the infrastructure and settlements to derive a risk map. A comprehensive landslide inventory was developed through on-screen digitization and field verification and compared with the predominant causative parameters to establish a landslide susceptibility index (LSI). The LSI map was analyzed with the precipitation and peak ground acceleration (PGA) data to generate the landslide hazard index (LHI). A semi-quantitative multi-criterion evaluation (MCE) technique was applied for the vulnerability assessment. Physical, environmental, and social vulnerability indexes were determined using direct and pairwise comparison matrices and integrated into a landslide vulnerability index (LVI). The landslide risk index map was developed by combining the hazard and vulnerability. The findings reveal that 37.25% of the region is categorized as shallow risk, with the remaining sections classified as low (62.22%), moderate (0.37%), high (0.11%), and very high risk (0.05%). The study findings are critical for the local authorities and policymakers to develop plans and policies for landslide-induced disaster risk reduction, landuse planning, and public involvement to reduce the vulnerabilities.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 19","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142413434","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":"Study on the weakening of mechanical properties and damage constitutive model of pre-cracked cyan sandstone after freeze–thaw cycles","authors":"Wanru Li, Chunyang Zhang, Ercheng Zhao, Tao Tan, Qinglin Ren, Shibing Huang","doi":"10.1007/s12665-024-11874-x","DOIUrl":"10.1007/s12665-024-11874-x","url":null,"abstract":"<div><p>Water-bearing fractured rock masses are prone to geological hazards due to freeze–thaw (FT) damage, which brings adverse effects on the stability of rock engineering. In order to study the FT damage characteristics of rocks, the intact and pre-cracked cyan sandstone samples were taken as the research objects, with pre-crack inclination angles <i>β</i> of 0°, 45°, and 90°, respectively. The effects of FT cycle on stress–strain curve, peak strength, apparent stiffness and FT coefficient of cyan sandstone samples were studied by uniaxial compression test. Based on macroscopic damage variables, a damage constitutive model of cyan sandstone is proposed combined with strain equivalence hypothesis and Weibull distribution hypothesis. Considering that the strain equivalence hypothesis is difficult to reflect the compaction effect of microcracks, the damage constitutive equation is modified by taking the ratio of the secant modulus of the actual stress–strain curve to that of the classical Lemaitre damage constitutive curve as the correction coefficient. The application results show that the modified constitutive model can well describe the stress–strain relationship of cyan sandstone before the peak strength, which verifies the reliability of the model parameters derived from the test data, and the practicability of the damage characterization method and correction coefficient. The results can provide theoretical reference for the study of FT damage of rocks in cold regions.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 19","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142413534","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}
Marzieh Mokarram, Hamid Reza Pourghasemi, John P. Tiefenbacher, Tam Minh Pham
{"title":"Mapping soil erosion susceptibility: a comparison of neural networks and fuzzy-AHP techniques","authors":"Marzieh Mokarram, Hamid Reza Pourghasemi, John P. Tiefenbacher, Tam Minh Pham","doi":"10.1007/s12665-024-11869-8","DOIUrl":"10.1007/s12665-024-11869-8","url":null,"abstract":"<div><p>The purpose of this research was to model areas prone to erosion in the Gol-Mehran catchment in southern Iran. For this purpose, the soil erosion map was determined using membership functions and analytic hierarchy process (AHP) determined the soil erosion map. Additionally, using the self-organizing map (SOM) and principal component analysis (PCA) methods, the most crucial parameters affecting gully erosion were extracted. Finally, soil erosion was predicted using a multilayer perceptron (MLP) and radial basis function. The results of the fuzzy AHP method with all data and the selected data with SOM and PCA demonstrated that areas located in the center of the region were prone to gully erosion. The results of this research also demonstrated that urban lands have expanded significantly, while vegetation has decreased from 1990 to 2019, which has had a significant impact on soil erosion. The results also showed that the MLP model, with R<sup>2</sup> = 0.97, could accurately predict soil erosion.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"83 19","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142413533","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}