Prioritization of Sub-watersheds Based on Morphometric Parameter Analysis Using Geospatial Technology

2020 ◽  
pp. 19-33
Author(s):  
Kanak Moharir ◽  
Chaitanya Pande ◽  
R. S. Patode ◽  
M. B. Nagdeve ◽  
Abhay M. Varade
Keyword(s):  
Parameter Analysis ◽  
Morphometric Parameter ◽  
Geospatial Technology

scholarly journals Quantitative Geomorphological Parameters Analysis for the Aynalem- Illala Streams, Tigray, Northern Ethiopia

2021 ◽  
Vol 13 (1) ◽  
pp. 67-88
Author(s):  
Fethangest Woldemariyam Tesema ◽  
Gebrerufael Hailu Kahsay ◽  
Berihu Abadi Berhe
Keyword(s):  
Morphometric Analysis ◽  
Rock Material ◽  
Parameter Analysis ◽  
Surface Shape ◽  
Morphometric Parameter ◽  
Maturity Stage ◽  
Northern Ethiopia ◽  
Hypsometric Integral ◽  
Heterogeneous Rock ◽  
Relief Ratio

Morphometric analysis is the measurement and mathematical analysis of the configuration of the surface, shape, and dimension of landforms. The objective of this study is to characterize the Aynalem and Illala streams using the morphometric parameter. The topographic map at a scale of 1:50,000 taken from the Ethiopian National Mapping Agency was used to characterize the linear and areal aspects. ASTER Digital Elevation Model with 10m resolution was used to characterize the relief aspect. The Arc GIS 10.4.1 was used during the morphometric analysis. The analysis result of the streams is summarized based on the linear, areal, and relief aspects. The area is characterized by a dendritic drainage pattern which is characteristics of massive hard rock terrain. The Aynalem and Illala streams are 4th and 5th order streams. Considering the number of streams in the Aynalem (75.81%) and Illala (74.66%) is composed of first-order streams that indicate a flashy flood and the mean bifurcation value of Aynalem (6.8) and Illala (4.7) shows that the Aynalem area is more structurally affected than Illala but both show less stream integration. The analysis of areal aspects such as elongation ratio, circularity ratio, and form factor has indicated that both streams are characterized as elongated streams, this implies that both streams are flowing in heterogeneous rock material, presences of structural effect, and slow runoff discharge.  The other areal aspect such as drainage density, stream frequency, infiltration number, and length of overland flow all show smaller values in both streams. This implies that the streams are characterized by a relatively permeable rock material with a higher infiltration capacity. The relief aspect of the Aynalem and Illala was also analyzed using basin relief, relief ratio, ruggedness number, hypsometric curves, and Hypsometric integral. The streams are characterized by a lower relief ratio and ruggedness number which implies a relatively flat slope and lower relief. The hypsometric curves and the Hypsometric Integral of the streams indicate that the Aynalem and Illala are at the maturity stage. This shows the area is characterized by higher erosion but less affected by recent structures. Based on the morphometric parameter analysis result it is possible to conclude that the stream development is dependent on the topography and geology of the study area and both streams show similar morphometric character.

scholarly journals Linking Soil Erosion Modeling to Landscape Patterns and Geomorphometry: An Application in Crete, Greece

2021 ◽  
Vol 11 (12) ◽  
pp. 5684
Author(s):  
Imen Brini ◽  
Dimitrios D. Alexakis ◽  
Chariton Kalaitzidis
Keyword(s):  
Soil Erosion ◽  
Soil Loss ◽  
Anthropogenic Activities ◽  
Landscape Patterns ◽  
Parameter Analysis ◽  
Morphometric Parameter ◽  
Erosion Modeling ◽  
Soil Erosion Modeling ◽  
Erosion Rates ◽  
Soil Erosion Rates

Soil erosion is a severe and continuous environmental problem caused mainly by natural factors, which can be enhanced by anthropogenic activities. The morphological relief with relatively steep slopes, the dense drainage network, and the Mediterranean climate are some of the factors that render the Paleochora region (South Chania, Crete, Greece) particularly prone to soil erosion in cases of intense rainfall events. In this study, we aimed to assess the correlation between soil erosion rates estimated from the Revised Universal Soil Loss Equation (RUSLE) and the landscape patterns and to detect the most erosion-prone sub-basins based on an analysis of morphometric parameters, using geographic information system (GIS) and remote sensing technologies. The assessment of soil erosion rates was conducted using the RUSLE model. The landscape metrics analysis was carried out to correlate soil erosion and landscape patterns. The morphometric analysis helped us to prioritize erosion-prone areas at the sub-basin level. The estimated soil erosion rates were mapped, showing the spatial distribution of the soil loss for the study area in 2020. For instance, the landscape patterns seemed to highly impact the soil erosion rates. The morphometric parameter analysis is considered as a useful tool for delineating areas that are highly vulnerable to soil erosion. The integration of three approaches showed that there is are robust relationships between soil erosion modeling, landscape patterns, and morphometry.

scholarly journals The study of flow type dynamics at pedon scale via morphometric parameter analysis of dye-pattern profiles

2018 ◽  
Vol 66 (4) ◽  
pp. 369-380
Author(s):  
Juraj Bebej ◽  
Tomáš Orfánus ◽  
Marián Homolák ◽  
Meni Ben-Hur ◽  
Viliam Pichler ◽  
...  
Keyword(s):  
Parameter Analysis ◽  
Brilliant Blue ◽  
Morphometric Parameter ◽  
Macropore Flow ◽  
Soil Matrix ◽  
Brilliant Blue Fcf ◽  
Matrix Flow ◽  
Spatio Temporal ◽  
Heterogeneous Matrix ◽  
Moisture Profiles

Abstract The application of Brilliant Blue FCF tracer enables to identify flow types in multi-domain porous systems of soils via analyses of morphologic parameters of stained objects occurring in dye pattern profiles, as they represent the footprint of flow processes which occurred in soil during both the infiltration and the redistribution of dye solution. We analysed the vertical dye pattern profiles exposed for different time lengths, and revealed temporal evolution of dye solution redistribution leading to changes in flow types. The field experiment was performed with the Brilliant Blue tracer (the 10 g l−1 concentration) applied on 1m x 1m surface of the Dystric Cambisol. The top litter horizon had been removed before 100 l of the tracer was applied. Four vertical profiles were excavated on the experimental plot (always 20 cm apart) at different times after the irrigation had been finished: 2 hours (CUT 2), 24 hours (CUT 24), 27 hours (CUT 27) and 504 hours (CUT 504). The analyses of the dyed patterns profiles showed the spatio-temporal changes in the dye coverage, surface area density, average BB concentration, and stained path width, which allowed us to specify three stages of dye solution redistribution history: (i) a stage of preferential macropore flow, (ii) a stage of strong interaction between macropore-domain and soil matrix leading to the generation of heterogeneous matrix flow and fingering flow types, and (iii) a final stage of dye redistribution within the soil body connected with leaching of BB caused by meteoric water. With increasing time, the macropore flow types convert to mostly matrix-dominated FTs in the upper part of the soil profile. These results were supported by soil hydrological modelling, which implied that more than 70% of the soil moisture profiles variability among CUT 2–CUT 504 could be explained by the time factor.

GEOSPATIAL TECHNOLOGY BASED GEOENVIRONMENTAL IMPACT ASSESSMENT OF SLATE MINING ACTIVITIES

2020 ◽  
Vol 40 (2) ◽  
pp. 330-349
Author(s):  
TEJPAL T ◽  
◽  
M.S. JAGLAN ◽  
B.S. CHAUDHARY ◽  
◽  
...  
Keyword(s):  
Impact Assessment ◽  
Mining Activities ◽  
Geospatial Technology

Method application of optimal multi-parameter analysis to assess the distribution of water masses as an example of CTD data of the Barents Sea in summer 2017

2019 ◽  
pp. 38-51
Author(s):  
Valeriy G. Yakubenko ◽  
Anna L. Chultsova
Keyword(s):  
Barents Sea ◽  
Field Measurements ◽  
Structural Similarity ◽  
Water Masses ◽  
Parameter Analysis ◽  
Water Dynamics ◽  
Phosphorus Concentration ◽  
Nitrogen And Phosphorus ◽  
The Barents Sea ◽  
Expert Assessments

Identification of water masses in areas with complex water dynamics is a complex task, which is usually solved by the method of expert assessments. In this paper, it is proposed to use a formal procedure based on the application of the method of optimal multiparametric analysis (OMP analysis). The data of field measurements obtained in the 68th cruise of the R/V “Academician Mstislav Keldysh” in the summer of 2017 in the Barents Sea on the distribution of temperature, salinity, oxygen, silicates, nitrogen, and phosphorus concentration are used as a data for research. A comparison of the results with data on the distribution of water masses in literature based on expert assessments (Oziel et al., 2017), allows us to conclude about their close structural similarity. Some differences are related to spatial and temporal shifts of measurements. This indicates the feasibility of using the OMP analysis technique in oceanological studies to obtain quantitative data on the spatial distribution of different water masses.

A Basic Study of Parameter Analysis and Adaptation of Cuckoo Search

2015 ◽  
Vol 135 (6) ◽  
pp. 721-722 ◽  
Author(s):  
Wataru Kumagai ◽  
Kenichi Tamura ◽  
Junichi Tsuchiya ◽  
Keiichiro Yasuda
Keyword(s):  
Cuckoo Search ◽  
Parameter Analysis ◽  
Basic Study

ANALYSIS OF FLOOD PRONE AREAS IN NAGAN RAYA REGENCY ACEH PROVINCE

2020 ◽  
Vol 5 (1) ◽  
pp. 414
Author(s):  
Amsar Yunan
Keyword(s):  
Land Use ◽  
Spatial Data ◽  
Flood Hazard ◽  
Parameter Analysis ◽  
Thematic Maps ◽  
Aceh Province ◽  
Object Area ◽  
Use Factors ◽  
Hazard Levels ◽  
Flood Prone Areas

Maps or remote sensing can be interpreted as the process of reading using various sensors where data collected remotely can be analyzed to obtain information about the object, area or phenomenon. In this study, the author develops a flood disaster mapping information system applying overlays with scoring between the parameters. The determinant factors to provide flood hazard levels includes rainfall factors in the dasarian unit, land-use factors and land-use arbitrary factors. Of all these parameters, a scoring process will be carried out by assigning weights and values according to their respective classifications, then an overlay process will be performed using ArcGIS software. The author conducted this study in Nagan Raya Regency since this area experiences flooding annually.  Framing a thematic map of flood-prone areas in Nagan Raya Regency was designed using the flood hazard method. Spatial data that has been presented in the form of thematic maps as parameters are land use maps, landform maps, and dasarian rainfall maps (per 10 daily). The design of thematic maps that are prone to flooding is done by overlapping (overlay process). In contrast, the determination of the classification is done by adding scores to each parameter, with low, medium and high hazard levels. Parameter analysis shows the level of flood vulnerability in Nagan Raya Regency of each district, namely Beutong: high 0.21%, medium 13.68%, low 86.12%. Seunagan District: high 51.17%, medium 48.83%, low 0%. Seunagan Timur District: high 10.07%, medium 46.18%, low 43.75%. Kuala Subdistrict: high 29.66%, medium 68.99%, low 1.35%. Darul Makmur District: high 8.57%, medium 63.37%, low 28.06%. From the overall results of the study, it can be concluded that the danger of flooding in Nagan Raya Regency with a level of vulnerability: high 9.92%, moderate 42.65% and low 47.43%.

Control strategy parameter analysis of parallel hybrid electric vehicles based on multiindex orthogonal experiment

2013 ◽  
Vol 32 (11) ◽  
pp. 3047-3049
Author(s):  
Guan-ci YANG ◽  
Shao-bo LI ◽  
Xiang-hong TANG ◽  
Jing-lei QU ◽  
Yong ZHONG
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Hybrid Electric Vehicles ◽  
Orthogonal Experiment ◽  
Parameter Analysis ◽  
Parallel Hybrid ◽  
Hybrid Electric

Coupled vibration model of cables and its parameter analysis

2015 ◽  
Vol 32 (3) ◽  
pp. 231
Author(s):  
Haitao Liu ◽  
Minghai Wei ◽  
Kun Lin ◽  
Yiqing Xiao
Keyword(s):  
Parameter Analysis ◽  
Coupled Vibration ◽  
Vibration Model
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