Abstract

Abstract. In this study, we generated a Cloud GIS based watershed management system with using Cloud Computing architecture. Cloud GIS is used as SAAS (Software as a Service) and DAAS (Data as a Service). We applied GIS analysis on cloud in terms of testing SAAS and deployed GIS datasets on cloud in terms of DAAS. We used Hybrid cloud computing model in manner of using ready web based mapping services hosted on cloud (World Topology, Satellite Imageries). We uploaded to system after creating geodatabases including Hydrology (Rivers, Lakes), Soil Maps, Climate Maps, Rain Maps, Geology and Land Use. Watershed of study area has been determined on cloud using ready-hosted topology maps. After uploading all the datasets to systems, we have applied various GIS analysis and queries. Results shown that Cloud GIS technology brings velocity and efficiency for watershed management studies. Besides this, system can be easily implemented for similar land analysis and management studies.

Highlights

  • A watershed is an area of land and water bounded by a drainage divide within which the surface runoff collects and flows out of the watershed through a single outlet into a lager river or lake

  • At this study we investigated watersheds, effecting zones and possible effecting zones due to 4 dams

  • After determining watershed zone we have prepared a geodatabase for the study area containing Hydrology data (Rivers, Lakes), Geology, Soil, Climate, Land Use) at ArcMap Desktop 10.5 software

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Summary

INTRODUCTION

A watershed is an area of land and water bounded by a drainage divide within which the surface runoff collects and flows out of the watershed through a single outlet into a lager river or lake. (Url-1, 2017) The approach of watershed management ought to be holistic and integrated involving hydrological, biophysical and socioeconomic systems and peoples’ participation, is recognised as a key factor in effective implementation of the programme. Soil erosion risk varies from case to case, depending on topography of the watershed, soil characteristics, local climatic conditions, land use, and land management practices (Zare et al, 2017). Several conventional methods such as geological, hydrogeological, geophysical, and photogeological techniques were employed to delineate groundwater potential zones. One of the best efficient tool for determine watershed zones and analysis is using GIS with relevant spatial datasets. Results may be shared with participants and a discussing and decision system will be provided with internet portals

Study area
Creating geodatabase and uploading to cloud
Methodology
Attribute queries on cloud
GIS analysis on cloud
Advantageous skills of Cloud GIS
RESULTS & CONCLUSIONS
Full Text
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