Arkoprovo biswas (116 Ergebnisse)

Sprache: Englisch
Verlag: Springer, 2021
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Sprache: Englisch
Verlag: Springer, 2021
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Taschenbuch. Zustand: Neu. Advances in Modeling and Interpretation in Near Surface Geophysics | Arkoprovo Biswas (u. a.) | Taschenbuch | Springer Geophysics | xv | Englisch | 2021 | Springer | EAN 9783030289119 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at…]springer[dot]com | Anbieter: preigu.

Sprache: Englisch
Verlag: Springer, 2021
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book deals primarily with the aspects of advances in near surface geophysical data modeling, different interpretation techniques, new ideas and an integrated study to delineate the subsurface structures. It also involves the practical applicatio…n of different geophysical methods to delineate the subsurface structures associated with mineral, groundwater exploration, subsurface contamination, hot springs, coal fire etc.This book is specifically aimed with the state-of-art information regarding research advances and new developments in these areas of study, coupled to extensive modeling and field investigations obtained from around the world. It is extremely enlightening for the research workers, scientists, faculty members and students, in Applied Geophysics, Near Surface Geophysics, Potential Field, Electrical and Electromagnetic Methods, Mathematical Modeling Techniques in Earth Sciences, as well as Environmental Geophysics.

Sprache: Englisch
Verlag: Springer, 2024
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Sprache: Englisch
Verlag: Springer, 2020
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Zustand: New. pp. XV, 414 204 illus., 142 illus. in color. 1st ed. 2020 edition NO-PA16APR2015-KAP.

Sprache: Englisch
Verlag: Springer, 2024
Serie: Buch 111 von 129 - Advances in Science, Technology & Innovation
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Sprache: Englisch
Verlag: Springer, 2024
Serie: Buch 106 von 129 - Advances in Science, Technology & Innovation
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Sprache: Englisch
Verlag: Springer International Publishing, 2020
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book deals primarily with the aspects of advances in near surface geophysical data modeling, different interpretation techniques, new ideas and an integrated study to delineate the subsurface structures. It also involves the practical application of di…fferent geophysical methods to delineate the subsurface structures associated with mineral, groundwater exploration, subsurface contamination, hot springs, coal fire etc.This book is specifically aimed with the state-of-art information regarding research advances and new developments in these areas of study, coupled to extensive modeling and field investigations obtained from around the world. It is extremely enlightening for the research workers, scientists, faculty members and students, in Applied Geophysics, Near Surface Geophysics, Potential Field, Electrical and Electromagnetic Methods, Mathematical Modeling Techniques in Earth Sciences, as well as Environmental Geophysics.

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Sprache: Englisch
Verlag: Springer, 2024
Serie: Buch 111 von 129 - Advances in Science, Technology & Innovation
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Sprache: Englisch
Verlag: Springer, 2020
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Hardcover. Zustand: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Weitere Bilder- Softcover
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Taschenbuch. Zustand: Neu. Self-Potential Method: Theoretical Modeling and Applications in Geosciences | Arkoprovo Biswas | Taschenbuch | Springer Geophysics | xiii | Englisch | 2022 | Springer | EAN 9783030793357 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann…[at]springer[dot]com | Anbieter: preigu.

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Hardcover. Zustand: new. Hardcover. This contributed volume, the second in a set of two, details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions. Earth observation systems, including remote sensi…ng and geographic information systems (GIS), play a crucial role in assessing and monitoring groundwater quality. Remote sensing data, such as satellite imagery, can provide valuable information on land cover, vegetation indices, and water quality parameters. GIS tools enable the spatial analysis and visualization of groundwater quality data.AI and Earth observation-based methods support effective water resource management by identifying suitable areas for artificial groundwater recharge (AGR) and assessing the impact of pollution on water resources. These techniques help formulate conservation policies and sustainable water management strategies. Various AI techniques, including ANN, SVM, KNN, and decision trees, have been applied to model groundwater quality and predict water quality indices. These models capture complex relationships between hydro chemical parameters and groundwater quality, enabling accurate predictions and informed decision-making.The application of AI and Earth observation systems in groundwater quality prediction contributes to the sustainability of water resources. Identifying pollution sources, assessing water quality, and guiding decision-making processes support preserving and managing water resources in arid and semi-arid regions. This contributed volume, the second in a set of two, details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book pose significant risks to human populations, infrastructure, and ecosystems. The volume Geospatial Application of Coastal Hazards -Monitoring, Mitigation, Adaptation and Prediction is an innovator attempt that aims to explore all the phenomenon. C…oastal hazard monitoring, mitigation, adaptation, and prediction can benefit greatly from geospatial applications. Geospatial analysis allows for the identification of areas at risk and vulnerable to coastal hazards such as storm surges, sea-level rise, and erosion. By integrating various data sources like topography, hydrology, climate data, and satellite imagery, decision-makers can assess the exposure and vulnerability of coastal zones. Geospatial big data solutions hold the potential to improve risk-based decision making in coastal areas. By analyzing and integrating high-resolution data, decision-makers can generate robust risk profiles and develop effective strategies for coastal regions. Remote sensing techniques, including satellite imagery, can provide valuable information for monitoring and mapping coastal hazards. Geospatial techniques, such as digital elevation models and spatial analysis, help in understanding environmental changes and predicting hazards. Geospatial decision support tools enable the assessment of potential flood risks, changes in flood-prone areas due to sea-level rise, and the identification of thresholds where current policies and resources may no longer be viable. These tools assist in operational and strategic decision-making processes for coastal adaptation planning. Comprehensive coastal mapping programs provide baseline data on seafloor morphology, habitats, geology, and environments. These maps and data sets are essential for scientific research, resource management, and the mitigation of hazards in the coastal ocean. Geospatial data and tools play a crucial role in emergency management and coastal hazard mitigation. Precise water level information, real-time monitoring, and long-term assessments support activities such as coastal development, habitat restoration, storm surge monitoring, and emergency preparedness. Geospatial applications are instrumental in coastal hazard monitoring, mitigation, adaptation, and prediction. This volume can be utilizing geospatial data, remote sensing techniques, and decision support tools, stakeholders can better understand coastal risks, develop effective strategies, and make informed decisions for the sustainable management of coastal areas.

Sprache: Englisch
Verlag: Springer, 2024
Serie: Buch 111 von 129 - Advances in Science, Technology & Innovation
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Sprache: Englisch
Verlag: Springer International Publishing AG, Cham, 2024
Serie: Buch 111 von 129 - Advances in Science, Technology & Innovation
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Hardcover. Zustand: new. Hardcover. This book is based on the accepted papers for presentation at the 2nd MedGU Annual Meeting, Marrakesh 2022. The book presents a series of newest research studies that are nowadays relevant to Middle East, Mediterranean region, Africa, and surrounding areas. The book gives a general overview on… current research, focusing on geoenvironmental issues and challenges in environmental management in these regions. It offers a broad range of recent studies that discuss the latest advances in geography, geomorphology, landslides, and soil science, in addition to geoarchaeology and geoheritage. It also shares insights on some glaciology studies. The book also enhances the understanding of paleoclimate and paleoenvironmental changes based on research studies from the fields of marine geosciences, historical geology, and paleoceanography and paleoclimatology. This book is based on the accepted papers for presentation at the 2nd MedGU Annual Meeting, Marrakesh 2022. The book presents a series of newest research studies that are nowadays relevant to Middle East, Mediterranean region, Africa, and surrounding areas. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book deals primarily with the aspects of advances in Self-Potential geophysical data modeling, different interpretation techniques, new ideas and an integrated study to delineate the subsurface structures associated with exploration, contamination, buri…ed paleochannels, archaeological investigations, glaciology, geomorphology, subsurface mapping and also in hydrocarbon exploration.The book is specifically aimed with the state-of-art information regarding research advances and new development in these areas of study, coupled to extensive modelling and field investigations obtained from around the world. It is extremely enlightening for the students, research workers, scientists, faculty members in Applied Geophysics, Near Surface Geophysics, Potential field, Electrical and Electromagnetic methods, Mathematical Modeling Techniques in Earth Sciences, as well as Environmental and other practical problems associated with Earth Sciences.

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Sprache: Englisch
Verlag: Springer Nature, 2024
Serie: Buch 111 von 129 - Advances in Science, Technology & Innovation
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book deals primarily with the aspects of advances in Self-Potential geophysical data modeling, different interpretation techniques, new ideas and an integrated study to delineate the subsurface structures associated with exploration, contaminatio…n, buried paleochannels, archaeological investigations, glaciology, geomorphology, subsurface mapping and also in hydrocarbon exploration.The book is specifically aimed with the state-of-art information regarding research advances and new development in these areas of study, coupled to extensive modelling and field investigations obtained from around the world. It is extremely enlightening for the students, research workers, scientists, faculty members in Applied Geophysics, Near Surface Geophysics, Potential field, Electrical and Electromagnetic methods, Mathematical Modeling Techniques in Earth Sciences, as well as Environmental and other practical problems associated with Earth Sciences.

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This contributed volume details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions. Earth observation systems, including remo…te sensing and geographic information systems (GIS), play a crucial role in assessing and monitoring groundwater quality. Remote sensing data, such as satellite imagery, can provide valuable information on land cover, vegetation indices, and water quality parameters. GIS tools enable the spatial analysis and visualization of groundwater quality data.AI and Earth observation-based methods support effective water resource management by identifying suitable areas for artificial groundwater recharge (AGR) and assessing the impact of pollution on water resources. These techniques help formulate conservation policies and sustainable water management strategies. Various AI techniques, including ANN, SVM, KNN, and decision trees, have been applied to model groundwater quality and predict water quality indices. These models capture complex relationships between hydro chemical parameters and groundwater quality, enabling accurate predictions and informed decision-making.The application of AI and Earth observation systems in groundwater quality prediction contributes to the sustainability of water resources. Identifying pollution sources, assessing water quality, and guiding decision-making processes support preserving and managing water resources in arid and semi-arid regions.

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This contributed volume, the second in a set of two, details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions. Earth observ…ation systems, including remote sensing and geographic information systems (GIS), play a crucial role in assessing and monitoring groundwater quality. Remote sensing data, such as satellite imagery, can provide valuable information on land cover, vegetation indices, and water quality parameters. GIS tools enable the spatial analysis and visualization of groundwater quality data.AI and Earth observation-based methods support effective water resource management by identifying suitable areas for artificial groundwater recharge (AGR) and assessing the impact of pollution on water resources. These techniques help formulate conservation policies and sustainable water management strategies. Various AI techniques, including ANN, SVM, KNN, and decision trees, have been applied to model groundwater quality and predict water quality indices. These models capture complex relationships between hydro chemical parameters and groundwater quality, enabling accurate predictions and informed decision-making.The application of AI and Earth observation systems in groundwater quality prediction contributes to the sustainability of water resources. Identifying pollution sources, assessing water quality, and guiding decision-making processes support preserving and managing water resources in arid and semi-arid regions.

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Taschenbuch. Zustand: Neu. Recent Research on Environmental Earth Sciences, Geomorphology, Soil Science and Paleoenvironments | Proceedings of the 2nd MedGU, Marrakesh 2022 (Volume 4) | Attila Çiner (u. a.) | Taschenbuch | Advances in Science, Technology & Innovation | xl | Englisch | 2025 | Springer | EAN 9783031487569 | Verant…wortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.