Geothermal Resource Exploration in Magmatic Rock Areas Using a Comprehensive Geophysical Method

Zhu, Jie; Jin, Sheng; Yang, Yang; TianYu, Zhang

doi:10.1155/2022/5929324

Cited by 8 publications

(7 citation statements)

References 35 publications

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“…In other words, the model may achieve high prediction accuracy under one event, but may have poor accuracy under another event. However, the multi-model method [ 27 – 29 ] provides the possibility for stable runoff prediction. Among them, model average method is an effective method to deal with model uncertainty and improve model performance and stability [ 30 , 31 ], mainly including Bayesian Model Average (BMA) [ 27 ] and Frequency Model Average (FMA) [ 28 ].…”

Section: Introductionmentioning

confidence: 99%

Improved runoff forecasting based on time-varying model averaging method and deep learning

et al. 2022

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In order to improve the accuracy and stability of runoff prediction. This study proposed a dynamic model averaging method with Time-varying weight (TV-DMA). Using this method, an integrated prediction model framework for runoff prediction was constructed. The framework determines the main variables suitable for runoff prediction through correlation analysis, and uses TV-DMA and deep learning algorithm to construct an integrated prediction model for runoff. The results demonstrate that the current monthly runoff, the runoff of the previous month, the current monthly temperature, the temperature of the previous month and the current monthly rainfall were the variables suitable for runoff prediction. The results of runoff prediction show that the TV-DMA model has the highest prediction accuracy (with 0.97 Nash-efficiency coefficient (NSE)) and low uncertainty. The interval band of uncertainty was 33.3%-65.5% lower than single model. And the prediction performance of the single model and TV-DMA model in flood season is obviously lower than that in non-flood season. In addition, this study indicate that the current monthly runoff, rainfall and temperature are the important factor affecting the runoff prediction, which should be paid special attention in the runoff prediction.

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Section: Introductionmentioning

confidence: 99%

Improved runoff forecasting based on time-varying model averaging method and deep learning

et al. 2022

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“…Another important application of gravity measurements is the monitoring of mass extraction in geothermal systems with production. 39 Direct methods. These methods are used to gain data on constraints usually prejudiced by geothermal systems.…”

Section: Processmentioning

confidence: 99%

“…The normal density is considered to be ∼2 and 3 g/cm 3 . This force is relational to the mass of the object while decreasing the distance, which is evident from the equation 39 Geothermal survey may comprise the recording of depth variations for basement in the sedimentary areas, the association of invasive rocks with a likely heat source, dyke of fault schemes, and changes in the concentration due to thermal effects. Another important application of gravity measurements is the monitoring of mass extraction in geothermal systems with production.…”

Section: Geothermal Parametric Investigationsmentioning

confidence: 99%

A critical review on the effective utilization of geothermal energy

Jamil

Shafiq

Sarwer

et al. 2023

Energy & Environment

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Rapid growth in the global population and associated elevated reliance on modern technology has resulted in increased demand for energy consumption. This has resulted in an increased focus on the development and generation of advanced sustainable energy systems. The swift implementation of sustainable renewable energy resource utilization and improvement in their efficiency by the modification of current technologies are the possible solutions that gave rise to the emergence of geothermal technology as a potential alternative. Geothermal technology is a non-carbon renewable energy resource that could be utilized efficiently to fulfil the energy demands while mitigating the climate change threat. According to the surveyed literature, the global geothermal energy power plant installation capacity has reached 14.3 GWe to successfully implement this sustainable alternative. In order to have a successful and uninterrupted way forward, it is essential to evaluate the constraints both in terms of technicality and economic feasibility to establish an approved framework. Moreover, the governance and monitoring regarding the social and environmental impact alongside the legal challenges should also be addressed. The significant barriers include increased capital cost, site selection, superiority of resources at diverse levels of rock bottoms, and obstruction from nearby residents that need to be addressed appropriately. As a result, policymakers will continue to seek measure that have least negative impact on environment.

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“…matching research in the Arctic Passage [24][25][26][27]. The infrastructure and its matching process are determined on the basis of the fundamental logic and ideas of the geopolitical environmental system of the Arctic Passage, as shown in Fig 2 . Flexible and simple functions, such as map settings and map analyses of GIS, are employed in the geopolitical environment matching process to provide quantitative and visual geodata support and services for the international activities involving Chinese vessels in the Arctic Ocean.…”

Section: Plos Onementioning

confidence: 99%

Spatial match analysis of multiple factors in the geopolitical environment of the Arctic Passage

et al. 2022

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This study seeks to provide a basic approach to fulfill the spatial visualization of geopolitical environmental factors required for the navigation of vessels in the Arctic. Multi-dimensional geopolitical environmental factors of the Arctic Passage are analyzed and classified into geopolitics, geoeconomics, geo-military, geoculture, and laws and regulations related to geography. Their characteristics are extracted to form an attribute information table matching spatial layers. Based on the information category and basic characteristics, the spatial match method is applied and connected with the spatial layers to examine the spatial point, polyline, and polygon. According to the qualitative description, the study extracted the quantitative indicators for the following spatial–temporal pattern analysis. The standard deviational ellipse is used to analyze the spatial–temporal patterns and trends of the geopolitical environmental indicators of the Arctic Passage in the Arctic and Northeast Asia. The expansion and contraction of geoinformation coexist in the countries surrounding the Arctic Passage. The spatial–temporal changes indicate that the Arctic channel has a great economic impact on the Nordic countries and Northeast Asia, especially the coastal areas of China and Japan. The characteristic extraction and spatial match of the geopolitical environment provide integrated Arctic geoinformation inquiry and services for the diplomatic, administrative, and legal preparations required for Arctic navigation. Therefore, the geospatial analysis conducted provides scientific support and a basis for the geographical distribution and developing trends of visualization and spatial–temporal pattern in Arctic navigation. The results of this research will help decision-makers to make a comprehensive judgment on governance related to the sustainable development of the Arctic Passage.

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Geothermal Resource Exploration in Magmatic Rock Areas Using a Comprehensive Geophysical Method

Cited by 8 publications

References 35 publications

Improved runoff forecasting based on time-varying model averaging method and deep learning

Improved runoff forecasting based on time-varying model averaging method and deep learning

A critical review on the effective utilization of geothermal energy

Spatial match analysis of multiple factors in the geopolitical environment of the Arctic Passage

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