scholarly journals Deriving Spatio-Temporal Development of Ground Subsidence Due to Subway Construction and Operation in Delta Regions with PS-InSAR Data: A Case Study in Guangzhou, China

2017 ◽  
Vol 9 (10) ◽  
pp. 1004 ◽  
Author(s):  
Huiqiang Wang ◽  
Guangcai Feng ◽  
Bing Xu ◽  
Yongping Yu ◽  
Zhiwei Li ◽  
...  
Keyword(s):  
Ground Subsidence ◽  
Temporal Development ◽  
Subway Construction ◽  
Spatio Temporal

Evaluation of the spatio-temporal development of hydrological droughts and its sensitivity to the choice of different parameters of the hydrological model. Case study: Magdalena-Cauca River basin – Colombia

2020 ◽  
Author(s):  
Gerald A Corzo P ◽  
Fabio Aguilar Carrillo ◽  
Juan Manuel Cotrino Palma ◽  
German Ricardo Santos Granados
Keyword(s):  
River Basin ◽  
Hydrological Model ◽  
The Body ◽  
Hydrological Process ◽  
Temporal Development ◽  
Model Case ◽  
Temporal Behaviour ◽  
Spatio Temporal ◽  
Hydrological Droughts

<p><strong>Title: </strong></p><p>Evaluation of the spatio-temporal development of hydrological droughts and its sensitivity to the choice of different parameters of the hydrological model. Case study: Magdalena-Cauca River basin – Colombia</p><p><strong>Abstract: </strong></p><p>Droughts in Colombia have been studied using local and regional indicators; however, the nature of events and the heterogeneity of mountains, and the high variability of climate and hydrological process, indicate that this should follow a more dynamic spatiotemporal analysis. In previous studies about drought, it has been possible to identify how natural drought phenomena tend to spread irregularly through large regions. This research aims to develop a spatiotemporal evaluation of hydrological droughts in Colombia. The process of the analysis followed three main components, one estimating the drought indicator to the interpolated data set from the local agency IDEAM. This step aims to find the optimal combination of parameters sets to characterize the hydrological behavior; to determine standardized runoff, soil moisture and evaporation deficit indices (SRI, SSMI, SEDI respectively). Second, the determination of the patterns using the Contiguous Drought Area (CDA) and Non-Contiguous Drought Area (NCDA) methodologies to characterise the spatio-temporal behaviour of the hydrological droughts. And before concluding an assessment of the robustness of the drought events, a threshold sensitivity analysis was performed. The body of the study includes a complete conceptual framework with the definition of hydrological droughts and drought indices (DI). This methodology is based on the characterization spatiotemporal droughts that examines the patterns of events using results from previous studies. The results of this analysis are key for the preparedness of the region to extreme events.</p>

Spatio-temporal approach for identification of critical conservation areas: a case study with two pine species from a threatened temperate forest in Mexico

2019 ◽  
Vol 28 (7) ◽  
pp. 1863-1883 ◽  
Author(s):  
Agustín Molina Sánchez ◽  
Patricia Delgado ◽  
Antonio González-Rodríguez ◽  
Clementina González ◽  
A. Francisco Gómez-Tagle Rojas ◽  
...  
Keyword(s):  
Temperate Forest ◽  
Conservation Areas ◽  
Spatio Temporal ◽  
Pine Species

scholarly journals A comparison of multiple neighborhood matrix specifications for spatio-temporal model fitting: a case study on COVID-19 data

2021 ◽  
Author(s):  
Álvaro Briz-Redón ◽  
Adina Iftimi ◽  
Juan Francisco Correcher ◽  
Jose De Andrés ◽  
Manuel Lozano ◽  
...  
Keyword(s):  
Model Fitting ◽  
Temporal Model ◽  
Spatio Temporal

scholarly journals Spatio-temporal analysis of COVID-19 incidence rate using GIS: a case study—Tehran metropolitan, Iran

GeoJournal ◽  
2021 ◽  
Author(s):  
R. Nasiri ◽  
S. Akbarpour ◽  
AR. Zali ◽  
N. Khodakarami ◽  
MH. Boochani ◽  
...  
Keyword(s):  
Incidence Rate ◽  
Temporal Analysis ◽  
Spatio Temporal

scholarly journals Multi-Criteria, Co-Evolutionary Charging Behavior: An Agent-Based Simulation of Urban Electromobility

2021 ◽  
Vol 12 (1) ◽  
pp. 18
Author(s):  
Lennart Adenaw ◽  
Markus Lienkamp
Keyword(s):  
Urban Areas ◽  
City Planning ◽  
User Behavior ◽  
Transport Sector ◽  
Simulation Framework ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Charging Station ◽  
Spatio Temporal

In order to electrify the transport sector, scores of charging stations are needed to incentivize people to buy electric vehicles. In urban areas with a high charging demand and little space, decision-makers are in need of planning tools that enable them to efficiently allocate financial and organizational resources to the promotion of electromobility. As with many other city planning tasks, simulations foster successful decision-making. This article presents a novel agent-based simulation framework for urban electromobility aimed at the analysis of charging station utilization and user behavior. The approach presented here employs a novel co-evolutionary learning model for adaptive charging behavior. The simulation framework is tested and verified by means of a case study conducted in the city of Munich. The case study shows that the presented approach realistically reproduces charging behavior and spatio-temporal charger utilization.

Seabird bycatch vulnerability in pelagic longline fisheries based on modelling of a long-term dataset

2021 ◽  
pp. 1-16
Author(s):  
CAN ZHOU ◽  
NIGEL BROTHERS
Keyword(s):  
Capture Event ◽  
Retrieval Rate ◽  
Competitive Environments ◽  
Global Concern ◽  
Competitive Species ◽  
Spatio Temporal ◽  
Longline Fisheries ◽  
Pelagic Longline

Summary The incidental mortality of seabirds in fisheries remains a serious global concern. Obtaining unbiased and accurate estimates of bycatch rates is a priority for seabird bycatch mitigation and demographic research. For measuring the capture risk of seabird interactions in fisheries, the rate of carcass retrieval from hauled gear is commonly used. However, reliability can be limited by a lack of direct capture observations and the substantial pre-haul bycatch losses known to occur, meaning incidence of seabird bycatch is underestimated. To solve this problem, a new measure (bycatch vulnerability) that links an observed interaction directly to the underlying capture event is proposed to represent the capture risk of fishery interactions by seabirds. The new measure is not affected by subsequent bycatch loss. To illustrate how to estimate and analyse bycatch vulnerability, a case study based on a long-term dataset of seabird interactions and capture confirmation is provided. Bayesian modelling and hypothesis testing were conducted to identify important bycatch risk factors. Competition was found to play a central role in determining seabird bycatch vulnerability. More competitive environments were riskier for seabirds, and larger and thus more competitive species were more at risk than smaller sized and less competitive species. Species foraging behaviour also played a role. On the other hand, no additional effect of physical oceanic condition and spatio-temporal factors on bycatch vulnerability was detected. Bycatch vulnerability is recommended as a replacement for the commonly used bycatch rate or carcass retrieval rate to measure the capture risk of an interaction. Combined with a normalized contact rate, bycatch vulnerability offers an unbiased estimate of seabird bycatch rate in pelagic longline fisheries.

Texts: A Case Study of Joint Action

SATS ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Nivedita Gangopadhyay ◽  
Alois Pichler
Keyword(s):  
Social Cognition ◽  
Digital Media ◽  
Philosophy Of Mind ◽  
Joint Action ◽  
Digital Humanities ◽  
Linguistic Communication ◽  
Unique Type ◽  
Joint Actions ◽  
Spatio Temporal

Abstract Our linguistic communication often takes the form of creating texts. In this paper, we propose that creating texts or ‘texting’ is a form of joint action. We examine the nature and evolution of this joint action. We argue that creating texts ushers in a special type of joint action, which, while lacking some central features of normal, everyday joint actions such as spatio-temporal collocation of agency and embodiment, nonetheless results in an authentic, strong, and unique type of joint action agency. This special type of agency is already present in creating texts in general and is further augmented in creating texts through digital media. We propose that such a unique type of joint action agency has a transformative effect on the experience of our sense of agency and subjectivity. We conclude with the implications of the proposal for social cognition and social agency. The paper combines research in philosophy of mind with the emerging fields of digital humanities and text technology.

scholarly journals Potential Impacts of Future Climate Change Scenarios on Ground Subsidence

Water ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 219 ◽  
Author(s):  
Antonio-Juan Collados-Lara ◽  
David Pulido-Velazquez ◽  
Rosa María Mateos ◽  
Pablo Ezquerro
Keyword(s):  
Climate Change ◽  
Land Subsidence ◽  
Ground Subsidence ◽  
Lower Percentage ◽  
Future Climate Change ◽  
Climate Change Scenarios ◽  
Fine Grained ◽  
Fine Grained Material ◽  
The Impact

In this work, we developed a new method to assess the impact of climate change (CC) scenarios on land subsidence related to groundwater level depletion in detrital aquifers. The main goal of this work was to propose a parsimonious approach that could be applied for any case study. We also evaluated the methodology in a case study, the Vega de Granada aquifer (southern Spain). Historical subsidence rates were estimated using remote sensing techniques (differential interferometric synthetic aperture radar, DInSAR). Local CC scenarios were generated by applying a bias correction approach. An equifeasible ensemble of the generated projections from different climatic models was also proposed. A simple water balance approach was applied to assess CC impacts on lumped global drawdowns due to future potential rainfall recharge and pumping. CC impacts were propagated to drawdowns within piezometers by applying the global delta change observed with the lumped assessment. Regression models were employed to estimate the impacts of these drawdowns in terms of land subsidence, as well as to analyze the influence of the fine-grained material in the aquifer. The results showed that a more linear behavior was observed for the cases with lower percentage of fine-grained material. The mean increase of the maximum subsidence rates in the considered wells for the future horizon (2016–2045) and the Representative Concentration Pathway (RCP) scenario 8.5 was 54%. The main advantage of the proposed method is its applicability in cases with limited information. It is also appropriate for the study of wide areas to identify potential hot spots where more exhaustive analyses should be performed. The method will allow sustainable adaptation strategies in vulnerable areas during drought-critical periods to be assessed.

Sign in / Sign up

Export Citation Format

Share Document