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GRASS and modeling landscape processes using duality between particles and fields

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Automatisierte Medienanalyse

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I I I I I I I I I don't know 1 and older and more and more and right you know you use to I'm going to make the
overall going the answer the the well I I
I I I I I OK good afternoon not in my presentation I would like to to present and and new grab tools for simulation of all the lines get processing using about new by sampling methods and graph GI I I was working on a on a graph implementation of the method of each of very invented by by dynamic pressure primarily with the and attach details about the work analysis some other applications and they're useful information can be found at this website the many and special special-purpose of ring in the landscape reach are the each of these spatial and a very dynamic a couple of examples can be seen on the slide In many cases these problem can be the model of the lost in the
simulated using differential equations the chip in In many cases they do not have an exact solution or a direct solution and therefore they had to be solved using the approximate method for numerical solution and the people the the uh in landscape are very special variable and and sometimes and the dynamic and therefore orbital is to stimulate then as a special variable phenomena and this variable and then and phenomena using GIS I mentioned the numerical methods for simulation of when properties are the most known are for example find a different method each has been name in implemented in our work harder about prior to the there is also planet alone and that to implemented it in are water and the and Our new approach is about sampling method of each has been implemented into the into new model module I don't think that the water and are not in the sediment it could be that apart from going method that based on the duality between particles and fields landscaper at that these can be represented in I have the field or or as a particle using this duality we we are able to model evolution of many the phenomenon we can be more clear when the the that these 2 pictures and on the left side you can see and representation of of water over and here we could see be using this and local origin the water depth of Poland's flow and on the right picture you can see the particle representation on of the famous phenomenal the so you can see here evolution of the phenomenon of each of pure land rental invented the is the high then the infiltration into infiltration rate of all of total induced this metal at the head of a man many very important properties of below of a dimension 3 that means that it is not dependent on and it can be used to that any time Doctor gen format it is very robust and flexible because I mentioned and other numerical methods which are quite unstable and it is also a multidimensional that means that can be easily extended to all higher dimensions and but it is also multiscale that means that they can be used for multi scale modeling uh some and all but the drawback of this method to some extent you know that is quite computationally demanding demanding but that can be that that can be easily parallelized to tool used on part architecture the so we have developed don't to models that do In light of water on the ball and sediment transport and 1st model is our but being that the waters to model and it uses that can be very continued during fall equation and the 2nd model is the product that in that have to think about that in the region of this the ocean model called the these mode model is that what is invented in the US to replace old order model called the user selects which is also known in Europe and the widely used here so hard not being built to water and you the input parameters it is a relation gradient and defined by the following order partial very rapid which can be computed using them uh as adults were adopted by the model already included in the grammar there also mining and the coefficient of each defined set of afternoon properties and rainfall like that that which is different which is the difference between a and tolerated and infiltration rate output of this model is the water depth on board of the structure the other thing that the that meant you some of the more it or fame parameters like elevation gradient and demanding and it is also a water there at the output from our model into the water and some other parameters of each are related to soil and the land cover properties the output of this module is a fundamental right from that and transport capacity and the erosion and the position of right the there are many problems using numerical method in the simulation of well and the these problems are usually connected to the white area and depression also that the abrupt changes in Tehran and land cover modeling using very high resolution data and man-made features like fight fight and grammars line on the why do you can be on the left side as valley valley and that the waterfall was flowing to deal depression and also because the depression and here from here the actual year-old and here you can see a you know two-dimensional their solution that more a classical solution individually to to very high accumulation of water water that shown at the at the surface and color you can be very high what that means there is very high very high and index of water In the Declaration on the on the right side you can be a solution using our sampling method when the have you at approximately diffusion diffusion of a and a associated with the the presence of so called preferential flow so you can see that the water that here is much lower and the water with will to the to the form the of the depression on this picture you can see actually better what plan or poem so as you can see here that the variance in the wild type for water 2 go to what of the which form from the Bible into into the red line so you can see here on the picture how the situation quite complicated for a classical method and that is the similarity and using our in the water the and we have applied this method to and continue campus which is part of the State University where the goal of course is the 1 we have an proposed reevaluations scenarios and there actually at the construction site so 1st 3rd and scenario is the situation just before construction you can see that most of the these are covered by foreign graph that Europe and the school around here that the buildings and parking lot In the 2nd scenario is when part of the archive before it it and bury them out of there will be no the soil conditions and the end of the the scenario is that after the construction and iteratively covered by golf course graphs in our task in this application is to
estimate the in the union of the of the increased the water is that in an output from the array during the construction and also relate to the proposed sediment control major measure an their effectiveness of which have to be there have to to be taken during the construction and then we will begin with a review of all of officiated apparent belief and the courts so now you can see he back almost simultaneous comparison of all of the scenarios for what waterfall or so you can see that the the scenario that the better so little is that there are more gates and all of include water but also fully horrible across the stage on the slide you can see that demand for all again in the 2nd scenario is that the the worst case that highest values of sediment flow and on this picture you can see Net erosion and deposition rate that means that can estimate uh amount of vitamin taken from given placed on the on the very erected color shows the net Eurovision and will call and that that position a on the slide against feet and some of possible sediment control measures for example and these measures are already in the heart of the problem that there was the construction of school buildings and parking lot so you can see for example here is what planning indeed in we know that politicians the politicians but there are 204 spread of which slowed down the water flow and retain that vitamin D. and it is planned intervention area in the place which can be used to correlate the slope and finally conclusions we have prepared new simulation method for open ground due the environment and the are going to be in model reach being used for and many of the people that you know not just for water and sediment flow and it did and meant but the head of and multidimensional support and the time dimension is embedded in this model but the it would be very glad if graph could could have some about the fracture where we can store more technology uh time period of data during this simulation because the new level of many scenarios around and the at the of 100 all while the mother with the difficult to
manage them from the world with much and the questions
went up from about it you would like to know that the the had watches the relation you are using the energy to emit more than he did cable because dying on the common condition is that the of the lack that negative you get into the the police officer but critical it this method is that the stable very stable because I I was using can for example are going to hide the came to D and many years ago and it was very very difficult to tool accumulated over time for all of our in in in real and ended with the only place in the topic of the wetlands credit with the man made features that I am sure it cannot be easily and simulated using more traditional methods like our blood hydro that at to the but I'm not have not to use it for the case but have some experience so I can tell you that you that that is not very very stable but have used for their will be kept mantra I mean because it seems that you look at the the end of the nite and I have used for a very short period of time for you to put it but I agree with most the method if it is the method is for the area and power part of some artificial artificial and have plane but I don't know what you mean by a very steep slope maybe 40 degrees awarded no problem no problem I think so I again after how hard in the original out of method the way
I I had to carry it and that the that the velocity of each in a lot of the time
it you not and that makes so that it doesn't it is
likely that the I would like to know how these the preparation by and show little lines are implemented in the model uh be met at the at I mentioned in my and my presentation given that the units the elevation gradient of each is defined by its 1st partial derivatives of validation field that means that the preferential flow in is actually defined the using the partial very rapid you if you know the position and orientation of any and line should train water you can compute directed which can be and in the put in day that is computed from on the but so far in the and it is that the the all treaty in and it's apparent potential am I if I understand correctly the Web model there's a hillslope version of that in the 18 version of it and I think I figured out the answer to the question already but the yeah you have something that missed about how you have to partition the landscape up into hillslope and they tend to do the weather predictions or is that actually that because your handling the overland flow prediction yourself you just taking the pieces of work that you need for the sediment and the prediction no there is no partitioning of all of the watershed or any of these areas into some segments or something like that so the average just you that they thought that they are in and grab that today to end up like this map so there is no very error and the people of the staff to prepare data our modeling that this the most difficult task where is the estimation of the parameters for example mining and in a filtration rate there were some so other so apparently did not just segmenting or outline on some segments onslaught now it is not a problem here and then I follow that up with a small question what happens when
water flows into the area from outside was what what happens when water enters the area for size that becomes over the edge of the area because you just reply to the question put saying that you don't need to define the watershed so that means you could have part of a watershed which means that some of the water could come from outside the EU assuming that no water comes from outside of course value of then you want to model correctly you should have a watershed defined because so this is that you will not get the water from up there is not covered by your regions the conservative and half you are late model of the water said and I think about the age that you don't need to have a period defined your native plant model and then look at the results of the model and to feel that actually are what the city that that you know that trying to minimize the of an energy and the of thing
Besprechung/Interview
Besprechung/Interview
Web Site
Graph
Besprechung/Interview
Implementierung
Kartesische Koordinaten
Kombinatorische Gruppentheorie
Rechenschieber
Informationsmodellierung
Druckverlauf
Unterring
Vorlesung/Konferenz
Simulation
Information
Gerade
Analysis
Selbstrepräsentation
Formale Grammatik
Gleichungssystem
Kartesische Koordinaten
Ungerichteter Graph
Übergang
Gradient
Vorlesung/Konferenz
Einflussgröße
Gerade
Bildauflösung
Funktion <Mathematik>
Metropolitan area network
ATM
Konstruktor <Informatik>
Parametersystem
Approximation
Kategorie <Mathematik>
Gebäude <Mathematik>
Ähnlichkeitsgeometrie
Ein-Ausgabe
Bitrate
Frequenz
Rechenschieber
Verknüpfungsglied
Menge
Automatische Indexierung
Rechter Winkel
Koeffizient
Konditionszahl
Deklarative Programmiersprache
Evolute
Dateiformat
Dualitätstheorie
Ordnung <Mathematik>
Programmierumgebung
Subtraktion
Gewicht <Mathematik>
Ortsoperator
Hausdorff-Dimension
Wasserdampftafel
Mathematisierung
Automatische Handlungsplanung
Data Mining
Überlagerung <Mathematik>
Task
Informationsmodellierung
Bildschirmmaske
Multiplikation
Flächentheorie
Datentyp
Näherungsverfahren
Datenstruktur
Maßerweiterung
Varianz
Schreib-Lese-Kopf
Soundverarbeitung
Schätzwert
Graph
Logarithmus
Relativitätstheorie
Kanalkapazität
Paarvergleich
Modul
Datenfluss
Packprogramm
Flächeninhalt
Offene Menge
Differentialgleichungssystem
Mereologie
Gamecontroller
Simulation
Kantenfärbung
Computerarchitektur
Ebene
Energiedichte
Minimalgrad
Flächeninhalt
Konditionszahl
Mereologie
Relativitätstheorie
Vorlesung/Konferenz
Frequenz
Office-Paket
Metropolitan area network
Leistung <Physik>
Geschwindigkeit
Vorlesung/Konferenz
Orientierung <Mathematik>
Ortsoperator
Wasserdampftafel
Stab
Versionsverwaltung
Kombinatorische Gruppentheorie
Gradient
Data Mining
Task
Benutzerbeteiligung
Informationsmodellierung
Prognoseverfahren
Einheit <Mathematik>
Gerade
Schätzwert
Parametersystem
Validität
Partielle Differentiation
Bitrate
Datenfluss
Partitionsfunktion
Mapping <Computergraphik>
Datenfeld
Flächeninhalt
Fehlermeldung
Resultante
Energiedichte
Informationsmodellierung
Flächeninhalt
Wasserdampftafel
Mereologie
Vorlesung/Konferenz
Frequenz
Dialekt

Metadaten

Formale Metadaten

Titel GRASS and modeling landscape processes using duality between particles and fields
Serientitel Open source GIS - GRASS user conference 2002
Anzahl der Teile 45
Autor Hofierka, Jaroslav
Mitasova, Helena
Mitas, Lubos
Lizenz CC-Namensnennung - keine Bearbeitung 3.0 Deutschland:
Sie dürfen das Werk in unveränderter Form zu jedem legalen Zweck nutzen, vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
DOI 10.5446/21771
Herausgeber University of Trento
Erscheinungsjahr 2002
Sprache Englisch

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