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Titlebook: Earth Systems Protection and Sustainability; Volume 2 James N. Furze,Saeid Eslamian,Kelly Swing Book 2022 The Editor(s) (if applicable) and

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發(fā)表于 2025-3-21 19:25:11 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Earth Systems Protection and Sustainability
副標題Volume 2
編輯James N. Furze,Saeid Eslamian,Kelly Swing
視頻videohttp://file.papertrans.cn/301/300872/300872.mp4
概述Discusses management practices while considering terrestrial, aquatic and atmospheric divergence.Uses mathematical applications to resolve and achieve environmental sustainability.Gives community and
圖書封面Titlebook: Earth Systems Protection and Sustainability; Volume 2 James N. Furze,Saeid Eslamian,Kelly Swing Book 2022 The Editor(s) (if applicable) and
描述.Earth Systems Protection and Sustainability authorises imperatives to achieve sustainability and protect our threatened and vulnerable Earth. Mathematical advances in context incorporate?operational and Boolean, as well as linguistic, logic-based Bayesian, and generative methods for scenario formation. Functional areas and deeper learning enable the use of searching algorithms, proffering optimal solutions for the circular nature of sustainability in natural ecosystems and human dominated settings.?Key informative nodes are provided in the hope that we may moderate the very real dangers facing planet Earth and its biodiversity. An arena of insightful chapters is blended with social resilience and socio-economic development coverage, accentuating integrity, protection and sustainability within divergent climatic forces and species dynamics on Earth.?????.??. .Volume 2 focuses on bioaccumulation; climate change and resiliencefor co-operative socio-economic and ecosystem management via policy frameworks across sectors; mathematical modelling of freshwater in coastal regions in arid and semi-arid zones; decision making in natural disasters; peat solidification for environmentally sust
出版日期Book 2022
關鍵詞Sustainable earth systems; Environmental sustainability; Combinatorial functions; Community engagement;
版次1
doihttps://doi.org/10.1007/978-3-030-98584-4
isbn_softcover978-3-030-98586-8
isbn_ebook978-3-030-98584-4
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 20:29:32 | 只看該作者
Competitive Bioaccumulation by , L.vely..Increase of the heavy metals concentration correlates with plant absorption of the pollutants but was limited by toxicity effects. The performance of . was sufficient for simultaneous removal of Cd and Ni. Competitive bioaccumulation via phytoremediation and its effective absorption dynamic of
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Mathematical Models Ensuring Freshwater of Coastal Zones in Arid and Semiarid Regionsater, desalination, and recharge (ADR); and treatment of wastewater and recharge, abstraction of brackish water, and desalination (TRAD). The results indicated that SEAWAT is a powerful tool for simulating and predicting groundwater salinity and can be used for sustainable management and control of
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Multicriteria Decision-Making for Risks of Natural Disaster in Social Project Assessmentsd the tolerable risk limit is designated URT (tolerable risk threshold). This work is the continuation and culmination of several institutions led by the Chilean Ministry of Social Development (MIDESO) with the United Nations (CEPAL) to incorporate the natural disaster risk variable in the social ev
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Mathematical Modelling and Simulation of Chemical and Biological Reaction in Peat Solidification Worion (XRD), X-ray fluorescence .XRF), Fourier transform infrared spectroscopy (FTIR), pH and energy-dispersive X-ray (EDX), while biological reactions may be enumerated by bacterial counts and enzymatic activities. Mathematical modelling may be used to elucidate chemical and biological reactions and
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Risk Assessment Applications: Exposure, Safety, and Securityty of temporary or permanent changes to the atmosphere, hydrosphere, and lithosphere due to human activities that result in the loss of biodiversity, global warming, and climate change. The risk factor can be understood by calculating relative risk, attributable risk, and odds ratio. The risks occur
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