Modelling forest fires hydrological impact using spatio - temporal geographical data

نویسندگان

  • David A. Swayne
  • Wanhong Yang
  • A. A. Voinov
چکیده

In recent years, forest fires frequency and intensity has increased, causing a new awareness about their impact not only on vegetation, but also on hydrological regime. Changes in vegetation influence the processes of interception and evapotranspiration, seriously affecting the hydrological cycle. Forest fires can also affect hydrological processes indirectly, altering the hydraulic properties of the soil. The period needed for the hydrological process recovery is greatly dependent on the rate of vegetation recovery. In dry areas, water shortages can seriously limit this rate. The interaction between hydrological processes and vegetation recovery makes harder the simulation of forest fires hydrological impacts and post-fire recovery with hydrological models, which are not able to consider the significant temporal variability of soil hydraulic properties and vegetation development. This paper presents the modelling of forest fires hydrological impact with a modified hydrological model, using spatio-temporal geographical data. This model can simulate the hydrological balance, taking into account both the spatial and temporal variability of vegetation and soil hydraulic properties. The interactions between hydrological balance, plants water stress, vegetation development, and soil hydraulic properties, can also be simulated within the model. The case study of a Mediterranean experimental watershed in Greece, which was affected by a wildfire in August 2009, is also presented.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Structured Spatio-Temporal Shot-Noise Cox Point Process Models, with a View to Modelling Forest Fires

Spatio-temporal Cox point process models with a multiplicative structure for the driving random intensity, incorporating covariate information into temporal and spatial components, and with a residual term modelled by a shot-noise process, are considered. Such models are flexible and tractable for statistical analysis, using spatio-temporal versions of intensity and inhomogeneous K-functions, q...

متن کامل

Structured spatio - temporal shot - noise Cox point process models , with a view to modelling forest fires August 11 , 2008

Spatio-temporal Cox point process models with a multiplicative structure for the driving random intensity, incorporating covariate information into temporal and spatial components, and with a residual term modelled by a shot-noise process, are considered. Such models are flexible and tractable for statistical analysis, using spatio-temporal versions of intensity and inhomogeneous K-functions, q...

متن کامل

Applications of Spatio-temporal Data Mining and Knowledge Discovery (stdmkd) for Forest Fire Prevention

Forests play an important role for sustaining the natural environment of human living. Forest fires not only destroy natural environment and ecological equivalence, but also threaten security of life and wealth to people. This paper presents applications of Spatio-temporal Data Mining and Knowledge Discovering (STDMKD) for forest fire prevention. The special attention of the research is paid to...

متن کامل

Integration of a Hydrological Model within a Geographical Information System: Application to a Forest Watershed

Watershed simulation software used for operational purposes must possess both dependability of results and flexibility in parameter selection and testing. The UBC watershed model (UBCWM) contains a wide spectrum of parameters expressing meteorological, geological, as well as ecological watershed characteristics. The hydrological model was coupled to the MapInfo GIS and the software created was ...

متن کامل

Integrated Spatio-temporal Data Mining for Forest Fire Prediction

Forests play a critical role in sustaining the human environment. Most forest fires not only destroy the natural environment and ecological balance, but also seriously threaten the security of life and property. The early discovery and forecasting of forest fires are both urgent and necessary for forest fire control. This article explores the possible applications of Spatio-temporal Data Mining...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010