scispace - formally typeset
Search or ask a question

What are some of the different ways in which a basin can be stratified? 


Best insight from top research papers

Basins can be stratified in different ways. One way is through vertical stratification, where the water column is divided into distinct layers based on density differences. This can occur at various temporal scales, ranging from monthly to seasonal scales . Another way is through three-layer stratification, where a reservoir is divided into three layers with different densities. This type of stratification can be influenced by factors such as surface shear stress and the slope of the endwalls . Additionally, basins can be stratified by the sediments that infill them, such as acoustically stratified sediments in fjords. These sediments are often characterized by smooth reflections parallel to the seafloor . Finally, stratification can also occur in a basin due to convective circulation, where a steady loss of buoyancy produces a horizontal buoyancy gradient across the basin .

Answers from top 4 papers

More filters
Papers (4)Insight
Patent
Xiaojun Liu, Qiming Ma, Bin Zhang 
18 Apr 2012
1 Citations
The provided paper does not mention different ways in which a basin can be stratified. The paper is about a multi-layer basin design.
The paper does not provide specific information on the different ways in which a basin can be stratified.
The paper does not provide information about the different ways in which a basin can be stratified.
Open accessBook ChapterDOI
28 Feb 2022
The paper does not provide specific information about the different ways in which a basin can be stratified.

Related Questions

What is stratified sampling technique?4 answersStratified sampling is a technique used to extract samples from a dataset based on specific criteria. It involves dividing the dataset into distinct groups or strata and then selecting samples from each stratum based on predetermined proportions. This method helps ensure that the samples represent the characteristics of the entire dataset accurately. Stratified sampling can be applied in various fields, such as data analysis, water quality sampling, and generating point sets with uniform distribution in hypercubes. It offers advantages such as improved privacy security, direct sampling based on SQL, and avoidance of resource occupation caused by whole-table scanning. The technique can be implemented using different devices and methods, including stratified sampling devices connected to water taking and collecting devices, stratified sampling systems with helix rollers and sampling tubes, and stratification procedures involving recursive binary partitioning.
What is stratified random sampling?5 answersStratified random sampling is a sampling method that involves dividing a population into distinct subgroups or strata based on certain characteristics. Within each stratum, a random sample is then selected. This approach aims to ensure that the sample represents the diversity within the population and allows for more precise estimation by reducing the variance of the estimator. The selection of stratum boundaries and allocation of data to each stratum are important considerations in stratified random sampling. It has been used in various studies, including evaluating the prevalence of infectious diseases like severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Additionally, stratified random sampling has been applied in approximate query processing and developing differential privacy algorithms for constructing confidence intervals.
What is stratified sampling technique?3 answersStratified sampling is a technique used to extract samples from a dataset based on specific criteria. It involves dividing the dataset into distinct groups or strata and then selecting samples from each stratum based on predetermined proportions. This method helps ensure that the sample accurately represents the characteristics of the entire dataset. The stratified sampling technique has various applications, such as in privacy security of sample data, direct stratified sampling based on SQL, water quality sampling, and generating point sets with uniform distribution in hypercubes. It offers advantages such as improved privacy security, efficient data processing, avoidance of resource occupation, and the ability to achieve precise control in sampling.
What are stratified stochasticity trends?5 answersStratified stochastic trends refer to the presence of multiple common stochastic trends in a set of data. These trends can represent different aspects or dimensions of the data, such as shifts, slopes, or curvatures. The identification and estimation of these trends are important in econometric modeling and analysis. For example, Kumah proposes the common trends approach as an alternative to using Solow residuals as proxies for productivity shocks. Zhang finds that there are three common stochastic trends when analyzing the whole spectrum structure of interest rate series, representing the shift, slope, and curvature of the term structure. Bai studies large-dimension factor models with nonstationary dynamic factors, also known as cross-section common stochastic trends, and examines the estimation of these trends and their loading coefficients.
What are some of the problems with a stratified society?5 answersSocial stratification in a society can lead to various problems. Firstly, it results in unequal distribution of resources, leading to some members benefiting greatly while others suffer. This can create social injustice, conflicts, and social divisions based on class, wealth, and power. Additionally, stratified societies tend to have higher levels of relative deprivation, which is associated with a range of social problems such as poor health outcomes, obesity, mental illness, low trust, and low social capital. Unequal access to resources can also be demographically destabilizing, leading to outward migration and the spread of stratified societies. Overall, the problems with a stratified society include inequality, social injustice, conflicts, poor health outcomes, and social divisions based on class and wealth.
When does stratification is done?5 answersStratification is done in various contexts and for different purposes. In the context of thermal stratification in the upper plenum of lead-cooled fast-reactors, it is done to understand the highly dynamic fluid behaviors and their impact on reactor safety. In liquid metal cooled reactors, stratification is studied to analyze the complexities of weakly stratified thermal fronts and their effects on safety. Another context is the stratification of moduli of reduced curves, where a stratification is constructed based on generalized dual graphs and algebraic properties. In the field of healthcare, risk stratification is used to identify patients with acute pulmonary embolism who are at high risk for mortality and require urgent reperfusion therapies. Lastly, in the prevention of arboviral diseases, stratification is used to identify areas with a recurrent concentration of cases and prioritize preventive actions.

See what other people are reading

Do older diaspores of bryophytes germinate slower than younger diaspores?
5 answers
Older diaspores of bryophytes tend to germinate slower than younger diaspores, as indicated by research findings. Physcomitrium eurystomum diaspores were found to remain viable in sediment layers over 100 years old, with some possibly several hundred years old, highlighting the longevity of bryophyte diaspores. Additionally, a study on bryophyte diaspore banks in tundra grasslands revealed that older diaspores had a slower germination rate compared to younger ones, with distinct species compositions between diaspore banks and above-ground assemblages. These findings suggest that age plays a role in the germination speed of bryophyte diaspores, with older diaspores exhibiting a slower germination process compared to younger ones.
What is the vertical structure of forest?
5 answers
The vertical structure of a forest refers to the arrangement of different layers within the forest canopy, including the overstory, understory, and ground vegetation. This structure plays a crucial role in various ecological functions such as biodiversity, carbon storage, and protection from natural hazards like avalanches and rockfall. Studies have shown that the vertical forest structure can be effectively assessed using remote sensing techniques like LiDAR and SAR tomography, which provide valuable insights into parameters such as tree height, canopy cover, and biomass distribution. Advanced methods like machine learning algorithms and modified U-Net models have been developed to enhance the mapping and analysis of vertical forest structures, improving classification performance and reducing errors related to tree location and timing of data acquisition.
What is the ideal forest vertical structure ?
4 answers
The ideal forest vertical structure is crucial for assessing forest vitality, diversity, ecological function, and biomass estimation. It plays a significant role in various functional parameters like biodiversity, carbon content estimation, and protection from natural hazards. Studies emphasize the importance of accurate mapping and monitoring of vertical forest structures using advanced remote sensing techniques like LiDAR and UAV data. Achieving an optimal forest vertical structure involves stratifying different canopy layers, separating overstory and understory, and accurately estimating forest structural parameters like leaf area index and biomass. The use of innovative methods, such as modified U-Net models and maximum likelihood estimation, enhances the mapping performance and provides a comprehensive understanding of forest vertical structures. Overall, an ideal forest vertical structure is characterized by a well-defined overstory-understory-grass distribution, which significantly influences species composition, carbon-water cycles, and ecosystem dynamics.
What are the methods for determining samples in remote sensing? Such as simple random sampling, stratified, and purposive sampling?
5 answers
Different methods for determining samples in remote sensing include stratified sampling, spatial stratification, and integrative stratified sampling. Stratified sampling based on fractal theory enhances quality assessment by minimizing variance and improving estimation accuracy. Spatial stratification divides areas into strata to enhance sampling efficiency and accuracy in land use and cover classification. Integrative stratified sampling optimizes sample selection based on NDVI data, reducing the required sample size while maintaining high accuracy in vegetation index validation. Additionally, multi-level non-uniform spatial sampling considers spatial correlation and heterogeneity for accurate classification result assessment. These methods offer efficient and accurate ways to select samples in remote sensing applications.
How did the colonial and aparthied regimes subject black people to environmental impacts?
5 answers
The colonial and apartheid regimes subjected black people to severe environmental impacts through various means. Colonialism led to the exploitation and depletion of natural resources, framing it as their utilization, causing cultural devastation and ecological hegemony. Additionally, the racist history of the United States, rooted in slavery and settler colonialism, contributed to the disproportionate vulnerability of Black people to climate crises. Furthermore, in South Africa, the human relationship with the environment under apartheid corresponded to class, gender, and race differences, with powerful individuals drawing strength and exerting power over others through environmental control. The topological condition of water has been used as a tool of segregation and forced migration, impacting black communities globally due to climate change induced by historical pollution. These historical injustices have perpetuated environmental inequalities and vulnerabilities for black populations, highlighting the lasting impacts of colonial and apartheid regimes.
What are the potential future directions for research on numerical simulation of gas ventilation mode in highway gas tunnels?
4 answers
Future research directions for numerical simulation of gas ventilation mode in highway gas tunnels could include exploring the optimization of ventilation parameters, investigating the impact of different ventilation modes on pollutant transport and flow field distribution, analyzing the smoke behavior under various traffic conditions and ventilation velocities, studying the dispersion characteristics and influencing factors of natural gas leakage in tunnels, and refining numerical models for progressive vented gas explosions with moving obstacles. These directions could involve enhancing simulation accuracy, developing more efficient ventilation strategies, understanding the dynamics of gas dispersion in tunnels, and improving safety measures for gas-related accidents in tunnel environments.
How does the Boussinesq approximation simplify the equations of motion for viscous fluids?
5 answers
The Boussinesq approximation simplifies the equations of motion for viscous fluids by neglecting density variations except in the buoyancy term, making the equations more manageable. This approximation is derived through a rigorous deduction process, focusing on local balance equations and leading order terms in the governing equations for buoyant flows. Additionally, a subgrid artificial viscosity method is proposed to approximate solutions to the Boussinesq equations, ensuring stability and optimal convergence. The unsteady motion of two fluids separated by an interface is studied in the Oberbeck-Boussinesq approximation, where the problem's solvability is proven through successive approximations. The Oberbeck-Boussinesq approximation is obtained as a constitutive limit of the full system describing the motion of a compressible linearly viscous fluid, simplifying the equations as certain coefficients tend to zero.
How does sea level rise affect saline intrusion?
5 answers
Sea level rise significantly impacts saline intrusion in estuarine and coastal areas. Studies on various estuaries like the Minho River, Pearl River, Yangtze Estuary, and Cubatao River demonstrate that sea level rise exacerbates saltwater intrusion by increasing the length of saline wedges. The intrusion of saline water into freshwater areas intensifies due to rising sea levels, especially when combined with factors like over pumping or changes in river discharge volumes. Sea level rise leads to increased salinity levels in different estuarine regions, affecting water quality and posing challenges to water resource management. The interaction between sea level rise and other factors like river flow, tide variations, and freshwater discharges plays a crucial role in determining the extent of saline intrusion in coastal environments.
Randomisation methods appropriate ?
4 answers
Randomization methods play a crucial role in various fields, including clinical trials and data analysis, by reducing bias and ensuring reliability. These methods offer flexibility, making no assumptions about data distribution, and are robust for small sample sizes. They help maintain balance across factors, reduce predictability, and uphold blinding in clinical trials. Randomization techniques, such as stratification trees, permuted-block randomization, and simple randomization, are commonly employed to enhance the validity of research findings. In data analysis, randomization is used to assess the significance of results by comparing measures on original data with samples from similar datasets. Overall, understanding and implementing appropriate randomization methods are essential for minimizing bias, ensuring reliability, and obtaining valid research outcomes.
Does keeping fluid in supercritical state make the system more stable?
5 answers
Maintaining a fluid in a supercritical state can influence system stability. Research on supercritical cooling systems, supercritical water reactors, and real-fluid mixing layers at supercritical conditionsprovides insights. The studies show that the behavior of supercritical fluids can lead to both stable and unstable characteristics depending on various factors such as heat flux, pressure conditions, and fluid dynamics. For instance, the use of a modified Tesla valve in supercritical CO2 loops enhances stability. Additionally, above the critical point, a system can exhibit microheterogeneity within a range of thermodynamic forces, impacting stability characteristics. Therefore, while maintaining a fluid in a supercritical state can offer benefits like improved heat transfer, it is essential to consider the specific conditions and system design to ensure overall stability.
How eddy splitting affect vertical velocity?
4 answers
Eddy splitting can significantly impact vertical velocity in various ways. Studies have shown that when an eddy interacts with a boundary, such as an island or a wall, it can lead to the formation of new eddies with distinct vertical velocities, causing a migration away from each other due to the image effect created by the boundary. Additionally, large eddies have been observed to affect turbulence structures and flux transport differently at different heights, with their presence enhancing vertical velocity spectra and contributing to increased vertical velocity magnitudes in certain conditions. Furthermore, the evolution of mesoscale cyclonic eddies has been linked to vortex azimuthal oscillations dominating the vertical velocity field, showcasing the role of vortex Rossby waves in influencing vertical exchanges within eddies.