Decision Support Tool in the Project LANDSLIDE
نویسندگان
چکیده
In the framework of the LANDSLIDE project has been fulfilled field work on the test areas in Bulgaria, Italy, Poland and Greece. The project goal is to create a software tool helping the decision makers in cases of landslides with up to 20m depth which can estimate the soil movement by calculating soil moisture and meteorological data conditions which in the literature are considered asmain triggers in such natural hazards.
منابع مشابه
A Model-Driven Decision Support System for Software Cost Estimation (Case Study: Projects in NASA60 Dataset)
Estimating the costs of software development is one of the most important activities in software project management. Inaccuracies in such estimates may cause irreparable loss. A low estimate of the cost of projects will result in failure on delivery on time and indicates the inefficiency of the software development team. On the other hand, high estimates of resources and costs for a project wil...
متن کاملComprehensive landslide risk management monitoring
Background and objective: Although the risk management and crisis management issues were discussed during recent years in scientific meetings, but still there is no proper planning to deal with natural disasters. The lack of systematic attitude to landslide phenomenon and also loss of predetermined plans for responsibility of the trusted organizations and lack of coordination between these orga...
متن کاملAn heuristic approach for mapping landslide hazard by integrating fuzzy logic with analytic hierarchy process
This study presents an integration of fuzzy sets theory with analytic hierarchy process (AHP) to model landslide hazard. The approach involves developing expert knowledge from existing landslide datasets which are used for standardizing digital terrain attributes, a pairwise comparison method for the elicitation of attribute weights, and their subsequent aggregation through weighted linear comb...
متن کاملSpatial Prediction of Landslide Hazard Using Logistic Regression and ROC Analysis
An empirical modeling of road related and non-road related landslide hazard for a large geographical area using logistic regression in tandem with signal detection theory is presented. This modeling was developed using geographic information system (GIS) and remote sensing data, and was implemented on the Clearwater National Forest in central Idaho. The approach is based on explicit and quantit...
متن کاملIntegrating a fuzzy k-means classification and a Bayesian approach for spatial prediction of landslide hazard
A robust method for spatial prediction of landslide hazard in roaded and roadless areas of forest is described. The method is based on assigning digital terrain attributes into continuous landform classes. The continuous landform classification is achieved by applying a fuzzy k-means approach to a watershed scale area before the classification is extrapolated to a broader region. The extrapolat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2017