SPATIAL AND TEMPORAL ANALYSIS OF THE DEGRADATION OF NATURAL RESOURCES IN RIVER LIKODRA WATERSHED

Similar documents
Basin characteristics

Effect of land cover / use change on soil erosion assessment in Dubračina catchment (Croatia)

Digital Elevation Models. Using elevation data in raster format in a GIS

Floodplain modeling. Ovidius University of Constanta (P4) Romania & Technological Educational Institute of Serres, Greece

Surface Processes Focus on Mass Wasting (Chapter 10)

MODULE 7 LECTURE NOTES 5 DRAINAGE PATTERN AND CATCHMENT AREA DELINEATION

ABSTRACT The first chapter Chapter two Chapter three Chapter four

CAUSES FOR CHANGE IN STREAM-CHANNEL MORPHOLOGY

DESCRIPTION OF A HYDROLOGIC DATASET. Department of Environmental Sciences, Wageningen University and. Research Center. Wageningen, The Netherlands

2013 Esri Europe, Middle East and Africa User Conference October 23-25, 2013 Munich, Germany

Introduction to GIS I

Dr. S.SURIYA. Assistant professor. Department of Civil Engineering. B. S. Abdur Rahman University. Chennai

Welcome to NetMap Portal Tutorial

Gully erosion and associated risks in the Tutova basin Moldavian Plateau

Watershed concepts for community environmental planning

International Journal of Advance Engineering and Research Development

Need of Proper Development in Hilly Urban Areas to Avoid

Remote Sensing and GIS Applications for Hilly Watersheds SUBASHISA DUTTA DEPARTMENT OF CIVIL ENGINEERING IIT GUWAHATI

Using Morphometric models and Open Source Software to locate Flood prone areas A guide to pilot Implementation

Watershed Delineation in GIS Environment Rasheed Saleem Abed Lecturer, Remote Sensing Centre, University of Mosul, Iraq

Geo-spatial Analysis for Prediction of River Floods

GIS sources for terrain analyses

)UDQFR54XHQWLQ(DQG'tD]'HOJDGR&

A SIMPLE GIS METHOD FOR OBTAINING FLOODED AREAS

A distributed runoff model for flood prediction in ungauged basins

MORPHOMETRIC ANALYSIS OF WATERSHEDS IN THE KUNIGAL AREA OF TUMKUR DISTRICT, SOUTH INDIA USING REMOTE SENSING AND GIS TECHNOLOGY

DEVELOPMENT OF DIGITAL CARTOGRAPHIC DATABASE FOR MANAGING THE ENVIRONMENT AND NATURAL RESOURCES IN THE REPUBLIC OF SERBIA

ESTIMATING PROBABLE PEAK RUNOFF FOR GREATER COLOMBO RIVER BASIN SRI LANKA

International Journal of Modern Trends in Engineering and Research e-issn No.: , Date: April, 2016

4. GIS Implementation of the TxDOT Hydrology Extensions

WATERCOURSE HARNESSING BANK EROSION AND CONSOLIDATION

Grant 0299-NEP: Water Resources Project Preparatory Facility

Integrating Geographical Information Systems (GIS) with Hydrological Modelling Applicability and Limitations

ENGINEERING HYDROLOGY

Conservation Planning evaluate land management alternatives to reduce soil erosion to acceptable levels. Resource Inventories estimate current and

Opportunities to Improve Ecological Functions of Floodplains and Reduce Flood Risk along Major Rivers in the Puget Sound Basin

GIS Geographic Information System

Determination of flood risks in the yeniçiftlik stream basin by using remote sensing and GIS techniques

13 Watershed Delineation & Modeling

MAPPING POTENTIAL LAND DEGRADATION IN BHUTAN

Geomorphometric analysis and drainage network for the territory of Republic of Croatia

Impact of DEM Resolution on Topographic Indices and Hydrological Modelling Results

Subject Name: SOIL AND WATER CONSERVATION ENGINEERING 3(2+1) COURSE OUTLINE

Stream Geomorphology. Leslie A. Morrissey UVM July 25, 2012

Sediment yield estimation from a hydrographic survey: A case study for the Kremasta reservoir, Western Greece

Consequences of river regulation works: altered fluvial processes + increasing flood hazard

Urban Erosion Potential Risk Mapping with GIS

Riparian Assessment. Steps in the right direction... Drainage Basin/Watershed: Start by Thinking Big. Riparian Assessment vs.

INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 2, No 2, 2011

STREAM RESTORATION AWRA Summer Specialty Conference, GIS and Water Resources IX

Application of high-resolution (10 m) DEM on Flood Disaster in 3D-GIS

NATURE OF RIVERS B-1. Channel Function... ALLUVIAL FEATURES. ... to successfully carry sediment and water from the watershed. ...dissipate energy.

Copyright is owned by the Author of the thesis. Permission is given for a copy to be downloaded by an individual for the purpose of research and

1 Introduction: 2 Data Processing:

HYDROLOGIC AND WATER RESOURCES EVALUATIONS FOR SG. LUI WATERSHED

GeoWEPP Tutorial Appendix

GIS feature extraction tools in diverse landscapes

INTRODUCTION TO HEC-HMS

Birch Creek Geomorphic Assessment and Action Plan

INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 1, No 4, 2011

Overview of the current status of application of GIS and RS in soil and water management in Republic of Macedonia

Wetland & Floodplain Functional Assessments and Mapping To Protect and Restore Riverine Systems in Vermont. Mike Kline and Laura Lapierre Vermont DEC

Stream Restoration and Environmental River Mechanics. Objectives. Pierre Y. Julien. 1. Peligre Dam in Haiti (deforestation)

Soil erosion and effects of erosion control works in the torrential drainage basins of southeast Serbia

Overview of Data for CREST Model

Floodplain Modeling and Mapping Using The Geographical Information Systems (GIS) and Hec-RAS/Hec-GeoRAS Applications. Case of Edirne, Turkey.

Multicriteria GIS Modelling of Terrain Susceptibility to Gully Erosion, using the Example of the Island of Pag

Title: ArcMap: Calculating Soil Areas for Storm Water Pollution Prevention Plans Authors: Brandy Woodcock, Benjamin Byars

GIS in Water Resources Midterm Exam Fall 2008 There are 4 questions on this exam. Please do all 4.

Section 4: Model Development and Application

An Introduction to Geographic Information System

Practical reliability approach to urban slope stability

A GIS-based Approach to Watershed Analysis in Texas Author: Allison Guettner

Geo-hazard Potential Mapping Using GIS and Artificial Intelligence

How Do Geology and Physical Streambed Characteristics Affect Water Quality?

3/3/2013. The hydro cycle water returns from the sea. All "toilet to tap." Introduction to Environmental Geology, 5e

Pipeline Routing Using Geospatial Information System Analysis

Characterization of Catchments Extracted From. Multiscale Digital Elevation Models

Web (Java, ArcGIS Server [WebADF, flex, silverlight]) Mobile (ArcGIS Mobile, ArcPad, Windows Mobile) Deskt

THE 3D SIMULATION INFORMATION SYSTEM FOR ASSESSING THE FLOODING LOST IN KEELUNG RIVER BASIN

THE HYDROLOGICAL MODELING OF THE USTUROI VALLEY - USING TWO MODELING PROGRAMS - WetSpa and HecRas

GRAPEVINE LAKE MODELING & WATERSHED CHARACTERISTICS

Bank Erosion and Morphology of the Kaskaskia River

Department of Geography: Vivekananda College for Women. Barisha, Kolkata-8. Syllabus of Post graduate Course in Geography

IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY

Description of Simandou Archaeological Potential Model. 12A.1 Overview

General Overview and Facts about the Irobland

FLOOD HAZARD MAPPING OF DHAKA-NARAYANGANJ-DEMRA (DND) PROJECT USING GEO-INFORMATICS TOOLS

Height Above Nearest Drainage in Houston THE UNIVERSITY OF TEXAS AT AUSTIN

Rivers T. Perron

VILLAGE INFORMATION SYSTEM (V.I.S) FOR WATERSHED MANAGEMENT IN THE NORTH AHMADNAGAR DISTRICT, MAHARASHTRA

Year 6. Geography. Revision

EO Information Services. Assessing Vulnerability in the metropolitan area of Rio de Janeiro (Floods & Landslides) Project

Prediction of Rapid Floods from Big Data using Map Reduce Technique

Technical Memorandum No

PHASE 1 STUDIES UPDATE EROSION WORKING GROUP

Appendix K.2: Sediment Management Excerpt from South Orange County Hydromodification Management Plan

CHAPTER V WATERSHED CHARACTERIZATION USING GIS

Why Stabilizing the Stream As-Is is Not Enough

INTRODUCTION TO ARCGIS 10

Transcription:

Soil Erosion Modelling JRC Ispra 20-21-22 March 2017 University of Belgrade, Faculty of Forestry Department for Ecological Engineering in Protection of Soil and Water Resources SPATIAL AND TEMPORAL ANALYSIS OF THE DEGRADATION OF NATURAL RESOURCES IN RIVER LIKODRA WATERSHED e mail: sinisa.polovina@sfb.bg.ac.rs Siniša Polovina Boris Radić Ratko Ristić Vukašin Milčanović

The subject of this work is resource of soil, analyze of its degradation through review actual state (2012 th year) and comparation with previous state of degradation (state from 1983 th year) in watershed of Likodra river. In May 2014, the urban area and rural parts of the municipality Krupanj are afflicted catastrophic flash floods that resulted in the loss of human lives and enormous material damage. Likodra river is located in the northwestern part of the Republic of Serbia (micro-regions Rađevina) on the right bank of the Drina. Figure 1: The geographical position of the river Likodra watershed

In the analysis of the basic physical geographical parameters of the watershed used topographic maps of the Military Geographical Institute in scale 1: 25000 and a digital elevation model DEM resolution 100m, which was formed on the basis of scanned topographic maps. Parameter Mark Unit Value Drainage area А km 2 140.38 Perimeter P km 78.75 Peak point Pp m.a.s.l. 805 Confluence point Cp m.a.s.l. 160 The length of main stream L km 30.92 The shortest distance from confluence point to watershed centroid Lc km 16.13 Absolute slope of river bed Sa % 1.16 Weighted slope of main channel Sw % 2.09 Total length of the waterways L km 377.4 Density of the hydrographic network G km/km 2 2.68 Module of the watershed development Е 1.86 Local erosion base Be m 599 Mean altitude Am m 495.68 Medium altitude difference Amd m 277.68 Mean slope of terrain Smt % 19.72 Table 1. Physical characteristics of the river Likodra watershed

Analysis of relief was obtained based on DEM (Digital Elevation Model) resolution of 100 m. Figure 2: The hydrographic of the river Likodra watershed Figure 3: DEM of the river Likodra watershed

GEOLOGICAL DATA: Basic Geological Map of Yugoslavia in 1970 scale 1: 100000 (issue of the Federal Geological Institute) PEDOLOGICAL DATA: Soil map of SR Serbia in 1966 scale 1: 50000 (edition of the Institute of Soil Science in Belgrade) Figure 4: Geological map of the river Likodra watershed Figure 5: Pedological map of the river Likodra watershed

LAND USE: Corine Land Cover database All the above databases are analyzed in GIS environment Figure 6: Slope of the terrain in watershed of the river Figure 7: Land use in the watershed of the river Likodra

LAND DEGRADATION: Method Of Potential Erosion Land degradation in the study area will be analyzed using the Erosion Potential Method (EPM) (Gavrilović): Y Coefficient of the soil resistance to erosion X a The land use coefficient, ϕ Coefficient of the observed erosion process (takes visible erosion processes), Isr Mean slope of terrain Z- Coefficient of erosion Erosion category I II Qualitative name of erosion category Excessive erosion- deep erosion process Heavy erosion-milder from excessive erosion Range of values of coefficient Z Mean value of coefficient Z 1.1-1.5 1.25 0.71-1.0 0.85 III Medium erosion 0.41-0.70 0.55 IV Slight erosion 0.20-0.40 0.30 V Very slight erosion 0.01-0.19 0.01 Table 2. Classification category of erosion by erosion coefficient Z

After digitalization of maps and assigning values to certain elements, a conversion was made into raster format, resolution of 100 m where the attribute values Y and Xa were a criteria for the conversion into raster base Raster base becomes adequate for calculating erosion coefficient Z according to formula Figure 8: The Intensity Erosion map of Likodra watershed Figure 9: The Erosion classes map (Z) of Likodra watershed

In the purpose of quantification of erosion intensity changes in Likorda river watershed, by using GIS, digitalization of research area was made with Map erosion from 1983 (Lazarević, 1983). Figure 10: The severity of erosion processes in the catchment area of the river, state in 1983 and current state

Erosion category Qualitative name of erosion category 1983 current state km 2 % km 2 % I Excessive erosion- deep erosion process 0 0 0.12 0.09 II Heavy erosion-milder from excessive erosion 2.73 1.95 0.86 0.61 III Medium erosion 18.43 13.1 23.94 17.06 IV Slight erosion 72.95 52.0 38.2 27.22 V Very slight erosion 43.68 31.1 77.26 55.02 VI Accumulation of sediment 2.56 1.8 0 0 Total 140.38 100 140.38 100 Mean value of coefficient Z Zsr=0.275 Zsr=0.204 Table 2: Erosion categories in the Likodra river watershed 1983 and current state Graph 1: Comparative review of erosion categories in two periods

CONCLUSIONS Soil, as a natural resource, represents a dynamic system created in the process of the pedogenesis, and under the influence of atmospheric and biological factors is constantly changing. With a view to assess the intensity of soil erosion and to propose measures for reducing the degradation process, developed many methods for assessing erosion loss of land. The (EPM) method is suitable for the definition of erosion processes on the surfaces of a wide range of sizes. The advantage of using this method is that it does not require a large number of input parameters and possible applications of GIS. One of the many GIS task is to extract the relevant information from the complex relations between the natural and geographical phenomena and processes. Geographical information system enables all the relevant spatial data adequately systematized, analyzed and finally displayed.