A Spatio-Temporal Building Exposure Database and Information Life-Cycle Management Solution

Wieland, Marc; Pittore, Massimiliano

doi:10.3390/ijgi6040114

Cited by 14 publications

(10 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The remote sensing method offers systemic, synoptic, and quick repetitive region coverage as a result, it is an important tool for acquiring short-term spatiotemporal data from a very large area (Leblanc et al, 2003;Tweed, Leblanc, Webb, & Lubczynski, 2007). GIS provides a platform to effectively handle comprehensive and complicated spatial-temporal information (Wieland & Pittore, 2017). Nowadays, the extensive accessibility and use of satellite data with standard maps and terrain procedures have facilitated the creation of basic information for assessing prospective groundwater potential regions (Dar, Sankar, & Dar, 2010;Ganapuram et al, 2009;Jasrotia, Kumar, & Singh, 2016;Krishnamurthy, Venkatesa Kumar, Jayaraman, & Manivel, 1996;Madrucci, Taioli, & deArau´jo, 2008;Mallick et al, 2014, Sahu & Sikdar, 2011Saraf & Choudhury, 1998;Solomon & Quiel, 2006;Srivastava & Bhattacharya, 2006).…”

Section: Introductionmentioning

confidence: 99%

Delineation of potential groundwater recharge zones using analytical hierarchy process (AHP)

Dar

Rai

Bhat

2020

Geology, Ecology, and Landscapes

174

View full text Add to dashboard Cite

In the present study, an effort was made in Kashmir Valley, NW-Himalayas to delineate potential groundwater areas using GIS and Analytical Hierarchy method (AHP) by incorporating remote sensing data with data from other sources. These data sets were used to prepare eight thematic layers of slope, soil texture, drainage density, land/land cover (LULC), lithology, geomorphology, lineament density, and rainfall. The analytical method of AHP pair wise matrix was used to evaluate the normalized weight of these thematic layers. All the thematic layers and their corresponding classes were allocated ranks and weights based on their impact on groundwater potential. The study area has been classified into five different potential groundwater recharge zonesexcellent (28.97%), good (19.99%), moderate (21.70%), poor (27.16%) and very poor (2.15%). The groundwater potential map prepared for the study area has been validated with 245 existing bore-wells and flow direction of basin. The validation of results was in agreement with the evidence obtained as Area Under Curve (AUC) was calculated to be 79.69% and flow computational investigations which suggest groundwater flows north-eastward from south of basin up to central Kashmir, and south-westward from North towards Jhelum River. The validation suggests that the applied method proves to give us a very significant and reliable result for the study area.

show abstract

Section: Introductionmentioning

confidence: 99%

Delineation of potential groundwater recharge zones using analytical hierarchy process (AHP)

Dar

Rai

Bhat

2020

Geology, Ecology, and Landscapes

174

View full text Add to dashboard Cite

show abstract

“…In order to validate the assumptions of the aforementioned top-down approaches about the portfolio composition and to identify zones with similar or contrasting physical vulnerabilities, it is required to consider these with bottom-up perspectives (i.e., in situ or remote data collection) [19]. This is especially relevant when some building attributes that drive their seismic vulnerability, such as structural irregularities [20], are neither randomly nor homogenously spatially distributed throughout the area of interest [21]. In this framework, emerging technologies have been proven to be useful to classify large-scale building stocks.…”

Section: Introductionmentioning

confidence: 99%

Towards a Sensitivity Analysis in Seismic Risk with Probabilistic Building Exposure Models: An Application in Valparaíso, Chile Using Ancillary Open-Source Data and Parametric Ground Motions

Zapata

Zafrir

Pittore

et al. 2022

IJGI

Self Cite

View full text Add to dashboard Cite

Efforts have been made in the past to enhance building exposure models on a regional scale with increasing spatial resolutions by integrating different data sources. This work follows a similar path and focuses on the downscaling of the existing SARA exposure model that was proposed for the residential building stock of the communes of Valparaíso and Viña del Mar (Chile). Although this model allowed great progress in harmonising building classes and characterising their differential physical vulnerabilities, it is now outdated, and in any case, it is spatially aggregated over large administrative units. Hence, to more accurately consider the impact of future earthquakes on these cities, it is necessary to employ more reliable exposure models. For such a purpose, we propose updating this existing model through a Bayesian approach by integrating ancillary data that has been made increasingly available from Volunteering Geo-Information (VGI) activities. Its spatial representation is also optimised in higher resolution aggregation units that avoid the inconvenience of having incomplete building-by-building footprints. A worst-case earthquake scenario is presented to calculate direct economic losses and highlight the degree of uncertainty imposed by exposure models in comparison with other parameters used to generate the seismic ground motions within a sensitivity analysis. This example study shows the great potential of using increasingly available VGI to update worldwide building exposure models as well as its importance in scenario-based seismic risk assessment.

show abstract

“…Still, remote sensing (RS) can be a quick and powerful tool for obtaining spatiotemporal information over a large area, including factors influencing catchment hydrology like geology, geomorphology, land use/cover and drainage patterns (Jha et al, 2007, 2010; Yeh et al, 2014). GIS provides a support framework to effectively handle large and complex spatial information; it is capable of executing weighted linear combinations based on pixel calculations by integrating multiple thematic layers for site suitability mapping (Lentswe & Molwalefhe, 2020; Wieland & Pittore, 2017). One of the main advantages stemming from integrating RS with GIS within PGR mapping is in the capability to investigate the impacts of climate and catchment landscape on water resources at unprecedented levels of spatiotemporally variability (Batelaan & De Smedt, 2007; Healy, 2010).…”

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Groundwater recharge over the past 100 years: Regional spatiotemporal assessment and climate change impact over the Saguenay‐Lac‐Saint‐Jean region, Canada

Boumaiza

Walter

Chesnaux

et al. 2022

Hydrological Processes

View full text Add to dashboard Cite

Proper knowledge of potential groundwater recharge (PGR) and its spatiotemporal distribution are essential for sustainable groundwater management, especially within the context of climate change. Here, a robust GIS‐based water budget framework was developed to estimate PGR at a regional scale and map its spatial distribution. This framework is demonstrated over the Saguenay‐Lac‐Saint‐Jean region (13 200 km2) of Quebec (Canada). The PGR mapping process was based on a model incorporating water budget components. The vertical inflows (VI) include water amounts from rainfall and snowmelt, whereby the latter was assessed using HYDROTEL model. VI were combined with the maximum and minimum temperatures to estimate actual evapotranspiration (AET), while the surface runoff (RuS) was assessed using the curve number method. Field observations of annual variation in temperatures and the water budget components, over a period of 100 years (1910–2009), were used to provide a comprehensive overview of the effects of climate change on PGR. The last 10 years of the observation period (i.e., 2000–2009) indicate that 6% of the study area has PGR rates of 35%–50%. PGR rates of 20%–35% occur in 58% of the study area, while 36% have PGR of 5%–20%. The trend analysis of temperature time series reveals an average of 1.1 ± 0.6°C increase over 100 years. Also, an increase in the water budget components is observed. Despite the increasing trends of RuS and AET, PGR still showed an increasing trend with an average increase of 0.7 ± 0.4 mm/year over the past 100 years. This observation indicates that the increase in VI was enough to compensate for the increases in AET and RuS. This finding of an increasing PGR in the study area provides useful information for future studies focusing on predicting long‐term PGR evolution and for the development of efficient long‐term groundwater management strategies.

show abstract

A Spatio-Temporal Building Exposure Database and Information Life-Cycle Management Solution

Cited by 14 publications

References 31 publications

Delineation of potential groundwater recharge zones using analytical hierarchy process (AHP)

Delineation of potential groundwater recharge zones using analytical hierarchy process (AHP)

Towards a Sensitivity Analysis in Seismic Risk with Probabilistic Building Exposure Models: An Application in Valparaíso, Chile Using Ancillary Open-Source Data and Parametric Ground Motions

Groundwater recharge over the past 100 years: Regional spatiotemporal assessment and climate change impact over the Saguenay‐Lac‐Saint‐Jean region, Canada

Contact Info

Product

Resources

About