東華大學圖書館 |

Multi-Phase and Multi-Scale Modeling of Environmental Flow: From Magma Dynamics to Pollutant Transport.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multi-Phase and Multi-Scale Modeling of Environmental Flow: From Magma Dynamics to Pollutant Transport./
作者:	Wei, Zihan.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	152 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-04, Section: B.
Contained By:	Dissertations Abstracts International85-04B.
標題:	Water quality. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30615096
ISBN:	9798380483612

Multi-Phase and Multi-Scale Modeling of Environmental Flow: From Magma Dynamics to Pollutant Transport.
Wei, Zihan.

Multi-Phase and Multi-Scale Modeling of Environmental Flow: From Magma Dynamics to Pollutant Transport. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 152 p.

Source: Dissertations Abstracts International, Volume: 85-04, Section: B.

Thesis (Ph.D.)--Stanford University, 2023.

This item must not be sold to any third party vendors.

Environmental flows dynamically change the solid earth, form a key part of various ecosystems, and deeply shape our society. Pursuing sustainability requires advancing our understanding of various environmental flow systems, because they are associated with resources, environmental health, and natural hazards. However, establishing a comprehensive understanding of these systems is usually challenging because of the complexity of earth systems and the difficulty in directly observing the dynamically evolving flows. Numerical modeling have been an important approach in studying environmental flows, because it can both patch together available data to form a consistent picture of unobservable processes and decode the information in observations to help improving our interpretation of the valuable data.In this dissertation we present model frameworks that bridge numerical models with data for two types of environmental flows, magmatic flow in volcanic systems and pollution of surface water. The motivation of focusing on these two systems is to provide insights for tackling challenges in natural hazard and environmental enforcement. In Chapter 1, we introduce the context and challenges of studying environmental flows and provide an overview of each chapter.In Chapter 2, we present a model framework for quantifying the magma mixing in the conduit flow of persistently degassing volcanoes. This model framework consists of a conduit-flow model that simulates the dynamics of bubble-bearing magma in volcanic conduits, and a volatile-concentration model that bridges magma mixing with melt and gas composition. By quantifying how different rates of magma mixing in conduit flow alters the volatile concentrations of melt at depth and the compositions of volcanic gas, this study demonstrates that the observed compositions of melt inclusion and surface gas flux support the bidirectional conduit flow in persistently degassing volcanoes.In Chapter 3, we investigate the formation mechanism of quartz-hosted embayments and melt inclusions during the crystallization of silicic magma using direct numerical simulations. By integrating crystal growth, the evolution H2Oof water concentrations, and the flow of surrounding melt, this chapter proposes a formation mechanism of embayments and melt inclusions and provides new insights for interpreting their compositions. We find that H2Owater is more enriched in the interior of defects on crystal surface compared to the exterior because the removal of H2O water from the interior is less efficient. The resultant lower disequilibrium in the defect interior causes lower growth rate than in the exterior, elongating the defect into an embayment. The melt entrapped by both embayments and melt inclusions may be enriched in incompatible components, such asH2O water and CO2carbon dioxide. The degree of enrichment depends on inclusion size, component abundance, the crystal growth regime, and the post-formation equilibration with surrounding melt.In Chapter 4, we propose a model framework for attributing agricultural phosphorus pollution in a river network at high spatiotemporal resolutions and to specific source types. This model framework consists of a forward model of nutrient transport and an inverse model with statistical inferences. We construct the prior distributions of source contributions by integrating data of nutrient input, nutrient uptake, and land use. We develop the nutrient transport model based on the river network and stream flow data. With the water-quality data, we update the prior distribution using the Approximate Bayesian Computation method to generate the posterior distributions of source contributions. Our attribution results reveal significant variability in subwatershed-scale phosphorus release. Phosphorus release is higher during spring planting than the growing period, with fertilizer contributing more SRP than manure and manure contributing most of the UP. The results also suggest locations for additional water-quality monitors by identifying regions with high contributions but ambiguous attribution results due to the lack of water-quality measurements and disagreements between existing datasets of nutrient input.

ISBN: 9798380483612Subjects--Topical Terms:

556913
Water quality.

Multi-Phase and Multi-Scale Modeling of Environmental Flow: From Magma Dynamics to Pollutant Transport.
LDR:05442nmm a2200385 4500 001 2393832
005 20240604073603.5
006 m o d
007 cr#unu||||||||
008 251215s2023 ||||||||||||||||| ||eng d
020 $a 9798380483612
035 $a (MiAaPQ)AAI30615096
035 $a (MiAaPQ)STANFORDps426bx0443
035 $a AAI30615096
040 $a MiAaPQ $c MiAaPQ
100 1 $a Wei, Zihan. $3 3763311
245 1 0 $a Multi-Phase and Multi-Scale Modeling of Environmental Flow: From Magma Dynamics to Pollutant Transport.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 152 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-04, Section: B.
500 $a Advisor: Suckale, Jenny;Dunham, Eric;Pamukcu, Ayla.
502 $a Thesis (Ph.D.)--Stanford University, 2023.
506 $a This item must not be sold to any third party vendors.
520 $a Environmental flows dynamically change the solid earth, form a key part of various ecosystems, and deeply shape our society. Pursuing sustainability requires advancing our understanding of various environmental flow systems, because they are associated with resources, environmental health, and natural hazards. However, establishing a comprehensive understanding of these systems is usually challenging because of the complexity of earth systems and the difficulty in directly observing the dynamically evolving flows. Numerical modeling have been an important approach in studying environmental flows, because it can both patch together available data to form a consistent picture of unobservable processes and decode the information in observations to help improving our interpretation of the valuable data.In this dissertation we present model frameworks that bridge numerical models with data for two types of environmental flows, magmatic flow in volcanic systems and pollution of surface water. The motivation of focusing on these two systems is to provide insights for tackling challenges in natural hazard and environmental enforcement. In Chapter 1, we introduce the context and challenges of studying environmental flows and provide an overview of each chapter.In Chapter 2, we present a model framework for quantifying the magma mixing in the conduit flow of persistently degassing volcanoes. This model framework consists of a conduit-flow model that simulates the dynamics of bubble-bearing magma in volcanic conduits, and a volatile-concentration model that bridges magma mixing with melt and gas composition. By quantifying how different rates of magma mixing in conduit flow alters the volatile concentrations of melt at depth and the compositions of volcanic gas, this study demonstrates that the observed compositions of melt inclusion and surface gas flux support the bidirectional conduit flow in persistently degassing volcanoes.In Chapter 3, we investigate the formation mechanism of quartz-hosted embayments and melt inclusions during the crystallization of silicic magma using direct numerical simulations. By integrating crystal growth, the evolution H2Oof water concentrations, and the flow of surrounding melt, this chapter proposes a formation mechanism of embayments and melt inclusions and provides new insights for interpreting their compositions. We find that H2Owater is more enriched in the interior of defects on crystal surface compared to the exterior because the removal of H2O water from the interior is less efficient. The resultant lower disequilibrium in the defect interior causes lower growth rate than in the exterior, elongating the defect into an embayment. The melt entrapped by both embayments and melt inclusions may be enriched in incompatible components, such asH2O water and CO2carbon dioxide. The degree of enrichment depends on inclusion size, component abundance, the crystal growth regime, and the post-formation equilibration with surrounding melt.In Chapter 4, we propose a model framework for attributing agricultural phosphorus pollution in a river network at high spatiotemporal resolutions and to specific source types. This model framework consists of a forward model of nutrient transport and an inverse model with statistical inferences. We construct the prior distributions of source contributions by integrating data of nutrient input, nutrient uptake, and land use. We develop the nutrient transport model based on the river network and stream flow data. With the water-quality data, we update the prior distribution using the Approximate Bayesian Computation method to generate the posterior distributions of source contributions. Our attribution results reveal significant variability in subwatershed-scale phosphorus release. Phosphorus release is higher during spring planting than the growing period, with fertilizer contributing more SRP than manure and manure contributing most of the UP. The results also suggest locations for additional water-quality monitors by identifying regions with high contributions but ambiguous attribution results due to the lack of water-quality measurements and disagreements between existing datasets of nutrient input.
590 $a School code: 0212.
650 4 $a Water quality. $3 556913
650 4 $a Manures. $3 2084683
650 4 $a Phosphorus. $3 671778
650 4 $a Volcanoes. $3 535445
650 4 $a Boundary conditions. $3 3560411
650 4 $a Lava. $3 3685273
650 4 $a Magma. $3 544538
650 4 $a Sustainability. $3 1029978
650 4 $a Fertilizers. $3 656382
650 4 $a Agriculture. $3 518588
650 4 $a Agronomy. $3 2122783
650 4 $a Geology. $3 516570
650 4 $a Mathematics. $3 515831
650 4 $a Water resources management. $3 794747
690 $a 0640
690 $a 0473
690 $a 0285
690 $a 0372
690 $a 0405
690 $a 0595
710 2 $a Stanford University. $3 754827
773 0 $t Dissertations Abstracts International $g 85-04B.
790 $a 0212
791 $a Ph.D.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30615096