scholarly journals Oscillation of water table due to rainfall: an experience of modeling in GIS

Author(s):  
Bianca Federici ◽  
Rossella Bovolenta ◽  
Dario Balestrero ◽  
Roberto V Passalacqua

A physically-based Integrated Hydrological-Geotechnical model (IHG) able to assess the rainfall-induced landslide susceptibility was developed, refined and applied in GIS environment along the past years (Passalacqua 2002; Federici et al. 2014; Bovolenta et al. 2016), showing its reliability. It is a useful instrument to landslide susceptibility evaluations and land-use planning over wide areas. The present paper focuses on the modeling of water table oscillation due to rainfall, comparing different hydrological models.

2016 ◽  
Author(s):  
Bianca Federici ◽  
Rossella Bovolenta ◽  
Dario Balestrero ◽  
Roberto V Passalacqua

A physically-based Integrated Hydrological-Geotechnical model (IHG) able to assess the rainfall-induced landslide susceptibility was developed, refined and applied in GIS environment along the past years (Passalacqua 2002; Federici et al. 2014; Bovolenta et al. 2016), showing its reliability. It is a useful instrument to landslide susceptibility evaluations and land-use planning over wide areas. The present paper focuses on the modeling of water table oscillation due to rainfall, comparing different hydrological models.


2016 ◽  
Author(s):  
Bianca Federici ◽  
Rossella Bovolenta ◽  
Dario Balestrero ◽  
Roberto V Passalacqua

A physically-based Integrated Hydrological-Geotechnical model (IHG) able to assess the rainfall-induced landslide susceptibility was developed, refined and applied in GIS environment along the past years (Passalacqua 2002; Federici et al. 2014; Bovolenta et al. 2016), showing its reliability. It is a useful instrument to landslide susceptibility evaluations and land-use planning over wide areas. The present paper focuses on the modeling of water table oscillation due to rainfall, comparing different hydrological models.


Author(s):  
Luguang Luo ◽  
Luigi Lombardo ◽  
Cees van Westen ◽  
Xiangjun Pei ◽  
Runqiu Huang

AbstractThe vast majority of statistically-based landslide susceptibility studies assumes the slope instability process to be time-invariant under the definition that “the past and present are keys to the future”. This assumption may generally be valid. However, the trigger, be it a rainfall or an earthquake event, clearly varies over time. And yet, the temporal component of the trigger is rarely included in landslide susceptibility studies and only confined to hazard assessment. In this work, we investigate a population of landslides triggered in response to the 2017 Jiuzhaigou earthquake ($$M_w = 6.5$$ M w = 6.5 ) including the associated ground motion in the analyses, these being carried out at the Slope Unit (SU) level. We do this by implementing a Bayesian version of a Generalized Additive Model and assuming that the slope instability across the SUs in the study area behaves according to a Bernoulli probability distribution. This procedure would generally produce a susceptibility map reflecting the spatial pattern of the specific trigger and therefore of limited use for land use planning. However, we implement this first analytical step to reliably estimate the ground motion effect, and its distribution, on unstable SUs. We then assume the effect of the ground motion to be time-invariant, enabling statistical simulations for any ground motion scenario that occurred in the area from 1933 to 2017. As a result, we obtain the full spectrum of potential coseismic susceptibility patterns over the last century and compress this information into a hazard model/map representative of all the possible ground motion patterns since 1933. This backward statistical simulations can also be further exploited in the opposite direction where, by accounting for scenario-based ground motion, one can also use it in a forward direction to estimate future unstable slopes.


Author(s):  
Sérgio C. Oliveira ◽  
José Luís Zêzere ◽  
Clémence Guillard-Gonçalves ◽  
Ricardo A. C. Garcia ◽  
Susana Pereira

2015 ◽  
Vol 4 (2) ◽  
pp. 16-33 ◽  
Author(s):  
Halil Akıncı ◽  
Ayşe Yavuz Özalp ◽  
Mehmet Özalp ◽  
Sebahat Temuçin Kılıçer ◽  
Cem Kılıçoğlu ◽  
...  

Artvin is one of the provinces in Turkey where landslides occur most frequently. There have been numerous landslides characterized as natural disaster recorded across the province. The areas sensitive to landslides across the province should be identified in order to ensure people's safety, to take the necessary measures for reducing any devastating effects of landslides and to make the right decisions in respect to land use planning. In this study, the landslide susceptibility map of the Central district of Artvin was produced by using Bayesian probability model. Parameters including lithology, altitude, slope, aspect, plan and profile curvatures, soil depth, topographic wetness index, land cover, and proximity to the road and stream were used in landslide susceptibility analysis. The landslide susceptibility map produced in this study was validated using the receiver operating characteristics (ROC) based on area under curve (AUC) analysis. In addition, control landslide locations were used to validate the results of the landslide susceptibility map and the validation analysis resulted in 94.30% accuracy, a reliable outcome for this map that can be useful for general land use planning in Artvin.


2019 ◽  
Vol 11 (24) ◽  
pp. 7118 ◽  
Author(s):  
Viet-Tien Nguyen ◽  
Trong Hien Tran ◽  
Ngoc Anh Ha ◽  
Van Liem Ngo ◽  
Al-Ansari Nadhir ◽  
...  

Landslides affect properties and the lives of a large number of people in many hilly parts of Vietnam and in the world. Damages caused by landslides can be reduced by understanding distribution, nature, mechanisms and causes of landslides with the help of model studies for better planning and risk management of the area. Development of landslide susceptibility maps is one of the main steps in landslide management. In this study, the main objective is to develop GIS based hybrid computational intelligence models to generate landslide susceptibility maps of the Da Lat province, which is one of the landslide prone regions of Vietnam. Novel hybrid models of alternating decision trees (ADT) with various ensemble methods, namely bagging, dagging, MultiBoostAB, and RealAdaBoost, were developed namely B-ADT, D-ADT, MBAB-ADT, RAB-ADT, respectively. Data of 72 past landslide events was used in conjunction with 11 landslide conditioning factors (curvature, distance from geological boundaries, elevation, land use, Normalized Difference Vegetation Index (NDVI), relief amplitude, stream density, slope, lithology, weathering crust and soil) in the development and validation of the models. Area under the receiver operating characteristic (ROC) curve (AUC), and several statistical measures were applied to validate these models. Results indicated that performance of all the models was good (AUC value greater than 0.8) but B-ADT model performed the best (AUC= 0.856). Landslide susceptibility maps generated using the proposed models would be helpful to decision makers in the risk management for land use planning and infrastructure development.


1979 ◽  
Vol 8 (2) ◽  
pp. 87-99 ◽  
Author(s):  
Bruce E. Lindsay ◽  
Daniel L. Dunn

As a result of accelerated growth during the past decade, land use change over time and its accompanying problems represents a policy area germane to New Hampshire. Accurate projections of the future pattern of land use would be helpful to decision makers responsible for land use policy. Such projections could assist policy makers either directly in formulating land use plans or indirectly in justifying the need (or lack of need) for overt land use planning. Future projections, based upon various alternative land use policy scenarios, will increase the quantitative supply of information to decision makers in a two-fold manner. First, such estimates provide an insight into the current trend in land use mix and, secondly, give an overview of what impacts various policies directly have upon land use change.


Author(s):  
Amal K Maji ◽  
Dulal C Nayak ◽  
Nadimpalli DR Krishna ◽  
Challa V Srinivas ◽  
Kalpana Kamble ◽  
...  

REFORESTA ◽  
2017 ◽  
pp. 116
Author(s):  
Saifi Merdas ◽  
Tewfik Mostephaoui ◽  
Mohamed Belhamra

Reforestation in Algeria has been recognized as a priority in different programs for the development and enhancement of forest heritage. Degradation factors of forest and soil contribute significantly to the decline in land values. The Algerian forests in the past, during the colonial period suffered considerable degradation. The degraded forest heritage has been undertaken with serious programs since independence. Several programs for the development of the forest sector through reforestation have been carried out. Unfortunately, the achievements were still below expectations. The launch of the National Reforestation Plan in 2000 has given the forestry sector a new lease of life with a vision that incorporates the productive aspect of reforestation, the industrial aspect, and the recreational aspect. Before the end of the NRP timeline, significant reforestation projects are completed. In a future projection, reforestation is integrated into the land use planning within the framework of the National Plan of Land Use Planning.


2008 ◽  
Vol 102 (3-4) ◽  
pp. 99-111 ◽  
Author(s):  
Robin Fell ◽  
Jordi Corominas ◽  
Christophe Bonnard ◽  
Leonardo Cascini ◽  
Eric Leroi ◽  
...  

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