1. BACKGROUND OF THE STUDY AREA 2. OBJECTIVES OF THE GIS MAPPING 3. MATERIALS AND METHODS BUTAJIRA ZEWAY DEVELOPMENT STUDY PROJECT
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1 1. BACKGROUND OF THE STUDY AREA BUTAJIRA ZEWAY DEVELOPMENT STUDY PROJECT Prject Gegraphic Infrmatin System (GIS) Applicatin Prject physical area has Km2 extent. The administrative area km2 Presentatin by AG Cnsult Plc. 17 January OBJECTIVES OF THE GIS MAPPING Cmmn bjectives are develpment, research and training prmtin. The GIS was slely planned t accmplish the next bjectives T build water resurces database, with emphasis n grundwater fr applicatin in many areas It is used as a tl fr grundwater data management and utput Physical strage f data t prmte research and training activities at Ethipian Water Technlgy Center (EWTEC) f MOWR 3. MATERIALS AND METHODS 3.1 Data and related resurces Data 1: and 1:50000 scale tpgraphic and administrative base maps (EMA & CSA) Existing thematic maps and ge-referenced attributes: climatic, catchments, gelgical, isheytal, hydrgelgical maps frm varius surces Equipment and frms Hand held GPS, and digital camera Checklists and questinnaires t assemble Wereda, Kebele,, Individual, Lcal Artesian and Lcal Wrkshp infrmatin as well as Land Cver and Land Use data 3.1 Data and related resurces cntd GIS/RS sftware ArcGIS, Arcview, Erdas Imagine, and Map Surce Human resurces Tw GIS prcessinals, ne assigned fr crdinatin and the ther fr data management Tw technicians fr data entry Six surveyrs were invlved in grundwater and land cver field data cllectin
2 3.2 Methdlgy Inceptin Demarcatin f the study area and assess types f data required Data Data acquisitin (secndary and field data) 1: 1: scale tpgraphic & administrative maps Gelgical, elevatin, climatic and ppulatin, satellite data and maps Glbal Glbal Psitining System (GPS) data cllectin f water pints, land cver and land use training sites Direct Direct physical and sci-ecnmic survey f prject area, Weredas and Kebeles 3.2 Methdlgy cntd Database cnstructin Organizatin f secndary & field data (hardcpy maps, digital maps, sci-ecnmic & GPS data) Scanning, digitizing and encding cllected data Management f the inputted data Physical strage f the data in different datasets Baseline (tpgraphic, administrative and water pints) Natural resurces (gelgy, climate) Water resurces (hydrlgy, hydrgelgy) Sci ecnmic datasets (ppulatin, husehlds, water supply) 3.2 Methdlgy cntd 2d cnturs 3d cnturs Data cnversin Data analysis and map pltting Thematic maps: Gelgy, Digital Elevatin, Land Interplatin Cver and Land Use, etc were classified Amunt, type & distributin f water scheme by physical/gelgical unit r administratin Sme examples: The 3d image Classified map with water pints The Digital Height Mdel Cnturs were generated frm 90 meters reslutin Shuttle Radar Tpgraphy Missin (SRTM), May-2004 fr imprt t ArcGIS/ArcView Triangulated Irregular Netwrk (TIN) prvides an interplated surface frm knwn elevatin. The mdel als gave slpe and aspect surfaces. Illuminating the faces prvides a 3d lking f the area. Taking standard elevatin range, traditinal climatic znes were assigned t describe the climatic cnditin f the study area. Water pints were verlaid t shw their distributin in climatic c znes Classificatin scheme m, Weyena Dega (mderate) dminates Data analysis and map pltting cntd The standard classificatin scheme The satellite image with Unsupervised classificatin The Land Cver and Land Use map Primarily, land cver categries were established cmparing standard classificatin methds like LUP apprach, 1984 (majr surce is FAO) An existing digital land cver & use map is acquired A preliminary classificatin was dne based n first hand data. Als, further, f satellite ETM was classified unsupervised tgether with first hand data Preliminary map and checklist fllwed by field data cllected fr f grund truthing using GPS The land cver map were reclassified with supervised using bth secndary & field data Land uses that crrespnd t reclassified/current land cvers were described GPS pints used fr digitizing f training data VALUE CLASS_NAME AREA_HA COVER % 8 Shrub grassland Wdland Open shrubland Wded grassland Urban/Built up land,open shrub 5 Dense shrubland Mderately cultivated land Cmplex land cver Intensively cultivated land Water bdy (intermediate) Water bdy (green) Bareland/Badland Water bdy (pure) Open fest Marsh Reverine vegetatin Open grassland Clud Dense frest Unclassified The Final satellite image with Supervised classificatin
3 4. OUTPUTS OF THE GIS/RS Baseline Infrmatin Water Pints A ttal f Schemes were gereferenced by the dr t dr survey Slpe Gelgy Digital Height Mdel Land Cver and Land Use Density f Water Pints Per 10 Kilmeters by Kebele Density f Water Pints Per 10 Kilmeters by Gelgical Unit Ttal Ppulatin and Water Pints fr Selected Kebeles The Hydrgelgical Map Distributin and Type f Lcal Artesians 5. FUTURE POTENTIALS OF THE GIS/RS 5.1 Hw t cnstruct the GIS/RS database A. OPTIMUM HARDWARE, SOFTWARE AND RELATED FACILITIES Hardware Pentium 4 CPUs with 80 GB HDD, 512 MB RAM, 1 GHz speed; and 17 SVGA mnitr Scanner r digitizer preferably A3-size Printer/pltter: pssibly A3-size with > 8 MB memry Sftware Sftware: ArcGIS, ArcView & Erdas Imagine 5.1 Hw t cnstruct the GIS/RS database cntd Other facilities CDs (RW & R) and Flash Disks fr data backup Office space Abut 50 m 2 t supprt 2 r 3 desktp PCs with regular electricity supply Operatr A persn with basic GIS/RS knwledge/skill
4 5.1 Hw t cnstruct the GIS/RS database cntd The Assumed Setup f Gegraphic Infrmatin System and Remte Sensing (RS) The GIS & RS envirnment -Hardware -Sftware -Office Space -Manpwer -Data 5.1 Hw t cnstruct the GIS/RS database cntd B. DATA ACQUISITION AND ENTRY Data acquisitin Secndary data: Meterlgical data Hydrlgical infrmatin Gelgical and hydrgelgical maps Land cver and land use maps Ppulatin 5.1 Hw t cnstruct the GIS/RS database cntd Primary data: Water pint questinnaire Water pints data Land cver/use lcatins Other data Water pint checklist GPS data cllectin Antena Zm in Esc Nav Gt Arrw keys Zm ut Enter Menu Pwer Field survey Navigatin screen Land cver & land use checklist 5.1 Hw t cnstruct the GIS/RS database cntd Data Entry Tpgraphic dataset Satellite dataset Physical/Natural resurces dataset Administrative dataset Water pints dataset Attribute dataset f land utilizatin type, ppulatin, health and sanitatin Tpgraphic dataset Administrative dataset Physical dataset Gelgy 5.2 Hw t utilize the GIS database If ne wants t prvide water pints distributin by physical landscape such as gelgy Gelgy Water pints Satellite dataset Land cver Water pint dataset Attribute dataset GEOSYMBOL COUNT N1-2ar 6 N1-2n 261 N1n 19 NQs 47 Pe 1 QWa 9 QWbh 569 Qa 8956 Qab 764 Qdi 445 Qi 3100 QwBp 1 QwPu 20 Qa, fr example, has 50 t 160 water pints in 1 km 2 and cntains 61.2 % water surces f the prject area
5 CONTD If ne is required t get a summary f water pints by Wereda r Kebele Kebele admin. Water pints C. DATA ANALYSIS & INFORMATION GENERATION CONTD If ne wants t determine generalized grundwater table fr excavating wells in a lcality Altitudinal grid Pints interplated Depth f selected wells t depth grid surface WEREDA_WEREDANPA_ID PEASANT_AS NUMBER AREAM2 AREAKM2DEN_1KM DEN_10KM Mesekan Ensen Marek Kun Kertefa Dugdaa Braa Meki Mesekan Shelewana Kunta Mesekan Bati Legana Marek Bachae Gulchan Marek Ali Mena Marek Dida Medrae Mesekan Ensen Usmen Mesekan Bati Fat Mesekan Ocha Genmae Marek Dida Alib Mesekan Bam Marek Semaen Dida Marek Hbae Jar Demek Marek Mesrak Dida Mesekan Debena Dugdaa Braa Gem Dagila Gel Mesekan Yemerwach Hul Silti balkesisa Marek Wejajar Demeka Mesekan Gurage Mesekan Ajra Mesekan Hultengha Jlae Mesekan Dbena Bati Adaamii Tulluu Bechisa Dugdaa Braa Bkilea Dugdaa Braa Welida Chefe Silti sdagra Mesekan WOJA WEREDA_EASTING_NORTHINGELEVATIOWATER_SDEPTH_M PUMPING_ Zway Dugd DW 81 Ma Dugdaa B HD 80 Ma Dugdaa B DW 80 Ma(wind) Dugdaa B HD 80 Ma(pump) Dugdaa B HD 80 Ma Marek Hand pump80 Ma Marek Hand pump80 Ma Marek DW(hand p80 Ma Marek HD(Hand p80 Ma Marek HD(Hand p80 Ma Marek HD(Hand p80 Ma Marek Hand Pum 80 Ma Marek Hand pump80 Ma Marek Hand pump80 Ma Marek HD (Hand 80 Ma Marek HD (Hand 80 Ma Meskan HD 80 M Silti DW 80 MA Zway Dugd HD 80 Ma Dugdaa B DW 75 Ma(wind) Dugdaa B HD 75 M Dugdaa B HD 75 M Ex. The difference b/n surface elevatin and grund water table is estimated t be arund 30m fr General Grundwater table grid CONTD If ne requires t assess percent f water schemes that are within a distance f 1.5 km (cnsidering the Universal Access fr rural water supply) Selected Kebele features Kebele Centers Water pints THANK YOU Fr the prject area the ttal water pints within 1.5 km distance are 9757 which is 67 % cverage. A cmparisn can be als dne amng Weredas
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