Leaving the tub: The nature and dynamics of hypercongestion in a bathtub model with a restricted downstream exit

Sea-level rise is a problem increasingly affecting coastal areas worldwide. The existence of free and open-source models to estimate the sea-level impact can contribute to improve coastal management. This study aims to develop and validate two different models to predict the sea-level rise impact supported by Google Earth Engine (GEE)—a cloud-based platform for planetary-scale environmental data analysis. The first model is a Bathtub Model based on the uncertainty of projections of the sea-level rise impact module of TerrSet—Geospatial Monitoring and Modeling System software. The validation process performed in the Rio Grande do Sul coastal plain (S Brazil) resulted in correlations from 0.75 to 1.00. The second model uses the Bruun rule formula implemented in GEE and can determine the coastline retreat of a profile by creatting a simple vector line from topo-bathymetric data. The model shows a very high correlation (0.97) with a classical Bruun rule study performed in the Aveiro coast (NW Portugal). Therefore, the achieved results disclose that the GEE platform is suitable to perform these analysis. The models developed have been openly shared, enabling the continuous improvement of the code by the scientific community.

Download Full-text

Incorporating the Participatory Margin When Teaching the Bathtub Model of the Labor Market

SSRN Electronic Journal ◽

10.2139/ssrn.2886709 ◽

2016 ◽

Author(s):

Christopher Limnios

Keyword(s):

Labor Market ◽

Bathtub Model

Download Full-text

Development of Tools for Coastal Management in Google Earth 2 Engine: Uncertainty Bathtub Model and Bruun Rule

10.20944/preprints202102.0421.v1 ◽

2021 ◽

Author(s):

Lucas Terres de Lima ◽

Sandra Fernández-Fernández ◽

João Francisco Gonçalves ◽

Luiz Magalhães Filho ◽

Cristina Bernardes

Keyword(s):

Sea Level Rise ◽

Sea Level ◽

Coastal Management ◽

Google Earth ◽

Environmental Data ◽

Bathymetric Data ◽

Bruun Rule ◽

Source Models ◽

Very High ◽

Bathtub Model

Sea-level rise is a problem increasingly affecting coastal areas worldwide. The existence 15 of Free and Open-Source Models to estimate the sea-level impact can contribute to better coastal 16 management. This study aims to develop and to validate two different models to predict the 17 sea-level rise impact supported by Google Earth Engine (GEE) – a cloud-based platform for plan-18 etary-scale environmental data analysis. The first model is a Bathtub Model based on the uncer-19 tainty of projections of the Sea-level Rise Impact Module of TerrSet - Geospatial Monitoring and 20 Modeling System software. The validation process performed in the Rio Grande do Sul coastal 21 plain (S Brazil) resulted in correlations from 0.75 to 1.00. The second model uses Bruun Rule for-22 mula implemented in GEE and is capable to determine the coastline retreat of a profile through the 23 creation of a simple vector line from topo-bathymetric data. The model shows a very high correla-24 tion (0.97) with a classical Bruun Rule study performed in Aveiro coast (NW Portugal). The GEE 25 platform seems to be an important tool for coastal management. The models developed have been 26 openly shared, enabling the continuous improvement of the code by the scientific community.

Download Full-text

Development of Tools for Coastal Management in Google Earth Engine: Uncertainty Bathtub Model and Bruun Rule

10.20944/preprints202102.0513.v1 ◽

2021 ◽

Author(s):

Lucas Terres de Lima ◽

Sandra Fernández-Fernández ◽

João Francisco Gonçalves ◽

Luiz Magalhães Filho ◽

Cristina Bernardes

Keyword(s):

Sea Level Rise ◽

Sea Level ◽

Coastal Management ◽

Google Earth ◽

Environmental Data ◽

Planetary Scale ◽

Bruun Rule ◽

Source Models ◽

Google Earth Engine ◽

Bathtub Model

Sea-level rise is a problem increasingly affecting coastal areas worldwide. The existence of Free and Open-Source Models to estimate the sea-level impact can contribute to better coastal man-agement. This study aims to develop and to validate two different models to predict the sea-level rise impact supported by Google Earth Engine (GEE) – a cloud-based platform for planetary-scale environmental data analysis. The first model is a Bathtub Model based on the uncertainty of projections of the Sea-level Rise Impact Module of TerrSet - Geospatial Monitoring and Modeling System software. The validation process performed in the Rio Grande do Sul coastal plain (S Brazil) resulted in correlations from 0.75 to 1.00. The second model uses Bruun Rule formula implemented in GEE and is capable to determine the coastline retreat of a profile through the creation of a simple vector line from topo-bathymetric data. The model shows a very high cor-relation (0.97) with a classical Bruun Rule study performed in Aveiro coast (NW Portugal). The GEE platform seems to be an important tool for coastal management. The models developed have been openly shared, enabling the continuous improvement of the code by the scientific commu-nity.

Download Full-text

2 Bathtub Model of Corruption

Corruption in Europe ◽

10.5771/9783845264516-53 ◽

2015 ◽

pp. 53-98

Author(s):

Ina Kubbe

Keyword(s):

Bathtub Model

Download Full-text

Superresonance phenomenon from acoustic black holes in neo-Newtonian theory

International Journal of Modern Physics D ◽

10.1142/s0218271816500553 ◽

2016 ◽

Vol 25 (05) ◽

pp. 1650055 ◽

Cited By ~ 3

Author(s):

I. G. Salako ◽

Abdul Jawad

Keyword(s):

Black Holes ◽

Black Hole ◽

Sound Wave ◽

Black Hole Mass ◽

Newtonian Theory ◽

Acoustic Black Holes ◽

Bathtub Model

We explore the possibility of the acoustic analogue of a super-radiance like phenomenon, i.e. the amplification of a sound wave by reflection from the ergo-region of a rotating acoustic black hole in the fluid draining bathtub model in the presence of the pressure to be amplified or reduced in agreement with the value of the parameter [Formula: see text]. We remark that the interval of frequencies depend upon the neo-Newtonian parameter [Formula: see text] ([Formula: see text]) and becomes narrow in this work. As a consequence, the tuning of the neo-Newtonian parameter [Formula: see text] changes the rate of loss of the acoustic black hole mass.

Download Full-text