Evaluating a new Landform Evolution Model: a case study using a proposed mine rehabilitation landform

2021 ◽  
Author(s):  
W. D. Dimuth P. Welivitiya ◽  
Garry R. Willgoose ◽  
Greg R. Hancock
Keyword(s):  
Evolution Model ◽  
Landform Evolution ◽  
Mine Rehabilitation

Impact of drainage integration on basin geomorphology and landform evolution: A case study along the Salt and Verde rivers, Sonoran Desert, USA

Geomorphology ◽  
2020 ◽  
Vol 371 ◽  
pp. 107439
Author(s):  
Phillip H. Larson ◽  
Ronald I. Dorn ◽  
Steve J. Skotnicki ◽  
Yeong B. Seong ◽  
A. Jeong ◽  
...  
Keyword(s):  
Sonoran Desert ◽  
Landform Evolution ◽  
Basin Geomorphology

scholarly journals Spatial evolution model of tourist destinations based on complex adaptive system theory: A case study of Southern Anhui, China

2019 ◽  
Vol 29 (8) ◽  
pp. 1411-1434 ◽  
Author(s):  
Zhongyuan Yang ◽  
Min Yin ◽  
Jiangang Xu ◽  
Wei Lin
Keyword(s):  
System Theory ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Evolution Model ◽  
Spatial Evolution ◽  
Tourist Destinations ◽  
Complex Adaptive

Spatial organization of soil depths using a landform evolution model

2006 ◽  
Vol 111 (F2) ◽  
Author(s):  
Patricia M. Saco ◽  
Garry R. Willgoose ◽  
Greg R. Hancock
Keyword(s):  
Spatial Organization ◽  
Evolution Model ◽  
Landform Evolution

Kinematic Evolution Model of Fault-Related Anticline based on the Study of the Striated Pebbles of the Related Growth-Strata: A Case Study of the Es Satah Anticline in Southern Tunisian Atlas, Tunisia

Geotectonics ◽  
2019 ◽  
Vol 53 (3) ◽  
pp. 419-432
Author(s):  
C. Khalfi ◽  
R. Ahmadi ◽  
H. Trigui ◽  
J. Ouali ◽  
E. Mercier
Keyword(s):  
Evolution Model ◽  
Growth Strata ◽  
Kinematic Evolution ◽  
Tunisian Atlas

Evaluating the stability and evolution of a proposed post mining landform.

2021 ◽  
Author(s):  
Welivitiyage Don Dimuth Prasad Welivitiya ◽  
Garry Willgoose ◽  
Gregory Hancock
Keyword(s):  
Cross Sections ◽  
Soil Profile ◽  
Evolution Model ◽  
Short Term ◽  
Landform Evolution ◽  
Erosion Rates ◽  
Denudation Rates ◽  
Land Denudation ◽  
Profile Characteristics

<p>Evaluating the future stability and land denudation rates of natural or anthropogenic landforms is paramount for sustainable land use practices. Landform evolution models can be powerful tools in this endeavour.  In this study we used the well-established landform evolution model SIBERIA and the newly developed coupled soilscape-landform evolution model SSSPAM to simulate the evolution of a proposed post mining landform. SIBERIA uses a cellular digital elevation model to simulate annual average fluvial and diffusive erosion on landforms using annual average precipitation. However it does not simulate the soil profile evolution on the evolving landform. The new SSSPAM coupled soilscape-landform evolution model has the ability to assess the overall erosion rates of catchment scale landforms either using short term precipitation events, variable precipitation or time averaged precipitation rates. In addition, SSSPAM is able to simulate the evolution of the soil profile of the evolving landform using pedogenetic processes such as physical weathering and armouring.</p><p>            To assess the reliability of SSSPAM, model predictions at 100 and 10000 years were compared with SIBERIA predictions at the same times. During the long term (10000yr) simulation the effect of armouring and weathering on the landform evolution was also assessed. The results obtained from these different simulations were compared and contrasted. Comparison of the short term simulations revealed that SSSPAM results compare well with the simulation results of the more established SIBERIA model. Long term simulation showed that SSSPAM simulation results also compares well with SIBERIA simulations while the erosion rates predicted by both models are close to the land denudation rates measured in the field. The soil profile characteristics and channel forms simulated by SSSPAM long term simulations were examined using several landform cross-sections. This analyses revealed that SSSPAM produces deep incised channels with very low soil thickness in upper reaches of the catchment and shallow channels with relatively thick soil layers in the lower reaches of the catchment. These SSSPAM simulated channels match well with the channel forms and distribution of bedrock channels and alluvial channels observed in the field. The analysis of the catchment cross-sections also showed that SSSPAM is capable of reproducing complex subsurface soil evolution and stratification and spatial variability of soil profile characteristics typically observed in the field.</p>

scholarly journals A Dynamic Urban Lake Area Evolution Model Based on Multilevel Grid, Cellular Automata, and Multiagent System

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
Jianfeng Zhu ◽  
Shenzhen Tian
Keyword(s):  
Cellular Automata ◽  
Multiagent System ◽  
Evolution Model ◽  
Rapid Expansion ◽  
Vector Model ◽  
Lake Area ◽  
Urban Lake ◽  
Urban Lakes ◽  
Ca Model

Urban lakes have been threatened by rapid expansion of cities in recent years. Their area changes could be extracted by remote sensing technologies. On this basis, a Dynamic Urban Lake Area Evolution Model (DULAEM) is proposed based on a multiagent system (MAS) and a cellular automata (CA) model. The DULAEM is integrated upon an Urban Lake Multilevel Grid (ULMG), which is composed of the vector model with the raster model. In the DULAEM, the CA layer is mainly used for modelling the interactions between urban lakes and their surrounding land use change through the activity of each cell; the MAS layer represents the actions of three typical human activities: government, real estate developers, and residents. These three agents have different actions in extent, strength, and priority according to their standpoints and functions. The CA layer and the MAS layer are both integrated upon the ULMG. Finally, a case study in Wuhan proves that the DULAEM can control the global relative error under 10%. Therefore, the DULAEM is able to simulate the area change of urban lakes dynamically. It is significant for the policy-making of lake protection and the optimal configuration of land resources in the lakeside.

An evaluation of an enhanced soil erosion and landscape evolution model: a case study assessment of the former Nabarlek uranium mine, Northern Territory, Australia

2008 ◽  
Vol 33 (13) ◽  
pp. 2045-2063 ◽  
Author(s):  
G. R. Hancock ◽  
J. B. C. Lowry ◽  
D. R. Moliere ◽  
K. G. Evans
Keyword(s):  
Soil Erosion ◽  
Landscape Evolution ◽  
Northern Territory ◽  
Evolution Model ◽  
Uranium Mine

scholarly journals A coupled soilscape-landform evolution model: Model formulation and initial results

2018 ◽  
Author(s):  
W. D. Dimuth P. Welivitiya ◽  
Garry R. Willgoose ◽  
Greg R. Hancock
Keyword(s):  
State Space ◽  
Soil Profile ◽  
Soil Characteristics ◽  
Evolution Model ◽  
Assessment Model ◽  
Self Organization ◽  
Time Step ◽  
Erosion And Deposition ◽  
Landform Evolution ◽  
Initial Results

Abstract. This paper describes the coupling of the State Space Soil Production and Assessment Model (SSSPAM) soilscape evolution model with a landform evolution model to integrate soil profile dynamics and landform evolution. SSSPAM is a computationally efficient soil evolution model which was formulated by generalising the mARM3D modelling framework to further explore the soil profile self-organization in space and time, and its dynamic evolution. The landform evolution was integrated into SSSPAM by incorporating the processes of deposition and elevation changes resulting from erosion and deposition. The complexities of the physically based process equations were simplified by introducing state-space matrix methodology that allows efficient simulation of mechanistically linked landscape and pedogenesis processes for catena spatial scales. The modelling approach and the physics underpinning the modelled processes are described in detail. SSSPAM explicitly describes the particle size grading of the entire soil profile at different soil depths, tracks the sediment grading of the flow, and calculates the elevation difference caused by erosion and deposition at every point in the soilscape at each time step. The landform evolution model allows the landform to change in response to (1) erosion and deposition, and (2) spatial organisation of the co-evolving soils. This allows comprehensive analysis of soil landform interactions and soil self-organization. SSSPAM simulates fluvial erosion, armouring, physical weathering, and sediment deposition. The modular nature of the SSSPAM framework allows integration of other pedogenesis processes in follow-on research projects. This paper presents the initial results of soil profile evolution on a dynamic landform. These simulations were carried out on a simple linear hillslope to understand the relationships between soil characteristics and the geomorphic attributes (e.g. slope, area). Process interactions which lead to such relationships were also identified. The influence of the depth dependent weathering function on soilscape and landform evolution was also explored. These simulations show that the balance between erosion rate and sediment load in the flow accounts for the variability in spatial soil characteristics while the depth dependent weathering function has a major influence on soil formation and landform evolution.

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