scholarly journals Morphometric relief features of Kremenets Mountains

Author(s):  
Andrii Bermes

Geomorphological structure and morphometric features of Kremenets Mountains are determined. The differences in geomorphic structure, morphometric parameters of individual sections of the study area are highlighted. The opportunity of the modelling of morphometric parameters using GIS technologies is considered. Certain regularities in the distribution of morphometric parameters on investigated area are revealed. Morphometric data processing and the construction of a series of morphometric maps using GIS-analysis and spatial modelling for Kremenets Mountains are done. A number of basic morphometric maps of the territory of Kremenets Mountains are constructed, namely horizontal and vertical partitioning of the territory, steepness of slopes and slope exposure. Based on the constructed maps certain regularities of geomorphological features of the territory of Kremenets Mountains, morphological features of the relief components are detected. The value of morphometric parameters could be used in complex morphogenetic analysis of the area of study. Key words: Kremenets Mountains, morphometric analysis, morphometric parameters, watershed, relict hills, GIS (geographic information systems), digital elevation models, horizontal partitioning, vertical partitioning, slopes, slope exposure.

Geoadria ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. 3
Author(s):  
Mladen Pahernik

The paper analyzes morphometric features of the slopes of Rab Island. Based on the digital elevation model, raster layers were calculated for the values of slope angle, aspect and curvature, as well as valley network, which was grouped using the Strahler method. A comparative analysis of the calculated values of morphometric parameters was conducted in the GIS environment. Spatial distribution of the values of each of the morphometric parameters was correlated to the structural and morphogenetic features of Rab Island. Differences between the slopes features within each of the morphogenetic types of the terrain were ascertained by comparing their morphometric features, and by using the valley network analysis. 


Author(s):  
Waikhom Rahul Singh ◽  
Swapnali Barman ◽  
Nitesh Patidar

Mountainous watersheds are constantly under pressure of huge amount of soil loss due to soil erosion. Pare watershed is situated in the eastern Himalayan ranges of Arunachal Pradesh, India, which is subjected to such soil losses and its sub-watersheds are being degraded in many places. Watershed management programs are required in the area in which prioritization of sub-watersheds is one of the first steps. A study has been carried out to address this issue in the area to prioritize 26 sub-watersheds of Pare through morphometric analysis. The study used digital elevation model (DEM) to determine several morphometric parameters of the watershed. The analysis revealed that Pare river is of the 7th order comprising of 6127 stream segments running over the watersheds for about 2448 km. Based on the results obtained, the study area is an elongated well dissected watersheds with high relief and great presence of streams all over the watershed indicating faster runoff peak attainment which is synonymous to rapid transportation of sediment load. The analysis also revealed that SW25 required the top priority in dealing with soil, land and water management measures while least priority could be given to SW7 among all the sub-watersheds in the Pare basin. We suggest various stakeholders who are involved in watershed development programs in the region to take cues from the results obtained in this paper. The results of this study are quite satisfactory in understanding the various morphological aspects of the watershed. Nonetheless, efforts to improve the results can always be made through incorporation of land-use and soil information to enhance the prioritization process so that purpose utilization of the watershed may be reflected in the results.


2021 ◽  
Author(s):  
Roos van Wees ◽  
Pierre-Yves Tournigand ◽  
Daniel O’Hara ◽  
Pablo Grosse ◽  
Gabor Kereszturi ◽  
...  

<p>Volcanoes are extremely dynamic landforms. They grow by the accumulation of eruptive products and intrusions and degrade by a range of erosion processes such as superficial runoff, chemical and physical weathering, fluvial and glacial incision, and mass movements. In this study, we aim at documenting and quantifying the morphology of natural composite volcanoes using a range of morphometric indices, to better understand the factors that control erosion rates and patterns.</p><p>In addition to standard morphometric indices, including edifice ellipticity and irregularity, computed by the MORVOLC algorithm, a fractal dimension tool is developed to quantitatively report the shape complexity of stratovolcanoes. A convex hull approach is used to derive minimal erosion volumes and estimate erosion rates, considering available geochronological constraints. Morphometric parameters are derived from digital elevation models (DEMs) for a few exemplary stratovolcanoes of contrasted ages from the same volcanic region. To analyse the potential bias induced by the selected DEMs and the identification of the volcanic edifice outline, we also conduct a sensitivity analysis. The morphometric parameters are similarly extracted using the freely and globally available ALOS 30m (AW3D30), SRTM 30m (SRTMGL1), and ASTER 30m (GDEM 003), and compared to values obtained with the TanDEM-X 12m. The subjective user-drawn edifice outlines are compared to outlines generated by available algorithms, i.e. NETVOLC and MBOA, and their impact on the accuracy of morphometric indexes is quantified.  </p><p>Our results highlight that erosion increases edifice irregularity and fractal dimension. Preliminary trends between volcano fractal dimension, eroded volume, and age suggest that fractal analysis has the potential to be used as a relative age determination tool. The proposed morphometric characterisation paves the way for a comparison between natural volcanoes and controlled lab experiments reproducing the degradation of pristine volcanic cones by surface runoff to be developed later in our project.  </p>


2020 ◽  
Vol 13 (19) ◽  
Author(s):  
Venkatesh Kasi ◽  
Ramdas Pinninti ◽  
Sankar Rao Landa ◽  
Maheswaran Rathinasamy ◽  
Chandramouli Sangamreddi ◽  
...  

2015 ◽  
Vol 15 (5) ◽  
pp. 997-1009 ◽  
Author(s):  
M. H. Baek ◽  
T. H. Kim

Abstract. In this study we focused on identifying a geomorphological feature that controls the location of landslides. The representation of the feature is based on a high-resolution digital elevation model derived from the airborne laser altimetry (LiDAR) and evaluated by the statistical analysis of axial orientation data. The main principle of this analysis is generating eigenvalues from axial orientation data and comparing them. The planarity, a ratio of eigenvalues, would tell the degree of irregularity on the ground surface based on their ratios. Results are compared to the recent landslide case in Korea in order to evaluate the feasibility of the proposed methodology in identifying the potential landslide hazard. The preliminary landslide hazard assessment based on the planarity analysis discriminates features between stable and unstable domain in the study area well, especially in the landslide initiation zones. Results also show it is beneficial to build the landslide hazard inventory mapping, especially where no information on historical records of landslides exists. By combining other physical procedures such as geotechnical monitoring, the landslide hazard assessment using geomorphological features promises a better understanding of landslides and their mechanisms and provides an enhanced methodology to evaluate their hazards and appropriate actions.


2011 ◽  
Vol 62 (1) ◽  
pp. 5-16 ◽  
Author(s):  
Sebastian Vogel ◽  
Michael Märker ◽  
Florian Seiler

Revised modelling of the post-AD 79 volcanic deposits of Somma-Vesuvius to reconstruct the pre-AD 79 topography of the Sarno River plain (Italy) In this study the methodology proposed by Vogel & Märker (2010) to reconstruct the pre-AD 79 topography and paleo-environmental features of the Sarno River plain (Italy) was considerably revised and improved. The methodology is based on an extensive dataset of stratigraphical information from the entire Sarno River plain, a high-resolution present-day digital elevation model (DEM) and a classification and regression tree approach. The dataset was re-evaluated and 32 additional stratigraphical drillings were collected in areas that were not or insufficiently covered by previous stratigraphic data. Altogether, an assemblage of 1,840 drillings, containing information about the depth from the present-day surface to the pre-AD 79 paleo-surface (thickness of post-AD 79 deposits) and the character of the pre-AD 79 paleo-layer of the Sarno River plain was utilized. Moreover, an improved preprocessing of the input parameters attained a distinct progress in model performance in comparison to the previous model of Vogel & Märker (2010). Subsequently, a spatial model of the post-AD 79 deposits was generated. The modelled deposits were then used to reconstruct the pre-AD 79 topography of the Sarno River plain. Moreover, paleo-environmental and paleo-geomorphological features such as the paleo-coastline, the paleo-Sarno River and its floodplain, alluvial fans near the Tyrrhenian coast as well as abrasion terraces of historical and protohistorical coastlines were identified. This reconstruction represents a qualitative improvement of the previous work by Vogel & Märker (2010).


2018 ◽  
Vol 44 (1) ◽  
pp. 22-27 ◽  
Author(s):  
Viktoriya KULYK ◽  
Rostyslav SOSSA

In this article, we explore heatmaps as a method of applying GIS-technologies to study the distribution of tourist and recreational objects. We analyze the foundations of heatmaps, their features and advantages among the cartographic methods of research, and examples of their application in the tourism industry. Using a database in QGIS, we create heatmaps of tourist objects in Ukraine that help to determine and visualize the tourist attractive regions of the country.


Water History ◽  
2020 ◽  
Author(s):  
Martin Crapper

Abstract A hydrological and hydraulic engineering analysis has been carried out on the Valens aqueduct system constructed from around AD 345 and serving Constantinople. A GIS analysis of previous field observations combined with a digital elevation model confirmed the aqueduct’s likely route and slope. Macrophysical Climate Modelling revealed that contemporary weather data was an appropriate proxy for the time of the aqueduct’s construction, and modern flow data was obtained for some of the springs that fed the aqueduct. Existing, previously documented remains, especially at intakes, were considered, and the industry standard software HEC–RAS was used to simulate the performance of the aqueduct system with a view to understanding the amount of water it could have delivered to the city, the seasonal variation in supply and the most likely configuration of the aqueduct, where this was not clear from existing archaeology. It was concluded that the most likely configuration for the aqueduct system was a fourth and a fifth century channel continuing separately and in parallel to the city walls, which might have delivered flow the range of 0.73 m3/s in the driest month of October to 1.73 m3/s in the wettest month of March over an average year.


2009 ◽  
pp. 2292-2300
Author(s):  
Ladjel Bellatreche

Scientific databases and data warehouses store large amounts of data ith several tables and attributes. For instance, the Sloan Digital Sky Survey (SDSS) astronomical database contains a large number of tables with hundreds of attributes, which can be queried in various combinations (Papadomanolakis & Ailamaki, 2004). These queries involve many tables using binary operations, such as joins. To speed up these queries, many optimization structures were proposed that can be divided into two main categories: redundant structures like materialized views, advanced indexing schemes (bitmap, bitmap join indexes, etc.) (Sanjay, Chaudhuri & Narasayya, 2000) and vertical partitioning (Sanjay, Narasayya & Yang 2004) and non redundant structures like horizontal partitioning (Sanjay, Narasayya & Yang 2004; Bellatreche, Boukhalfa & Mohania, 2007) and parallel processing (Datta, Moon, & Thomas, 2000; Stöhr, Märtens & Rahm, 2000). These optimization techniques are used either in a sequential manner ou combined. These combinations are done intra-structures: materialized views and indexes for redundant and partitioning and data parallel processing for no redundant. Materialized views and indexes compete for the same resource representing storage, and incur maintenance overhead in the presence of updates (Sanjay, Chaudhuri & Narasayya, 2000). None work addresses the problem of selecting combined optimization structures. In this paper, we propose two approaches; one for combining a non redundant structures horizontal partitioning and a redundant structure bitmap indexes in order to reduce the query processing and reduce the maintenance overhead, and another to exploit algorithms for vertical partitioning to generate bitmap join indexes. To facilitate the understanding of our approaches, for review these techniques in details.


Sign in / Sign up

Export Citation Format

Share Document