scholarly journals Spatial Zonation Model of Local Irrigation System Sustainability (A Case of Subak System in Bali)

2016 ◽  
Vol 47 (2) ◽  
pp. 142
Author(s):  
I Putu Sriartha ◽  
Sri Rum Giyarsih
Keyword(s):  
Irrigation System ◽  
Transitional Zone ◽  
Geographical Information ◽  
Road Density ◽  
Long Distance ◽  
Spatial Zonation ◽  
System Sustainability ◽  
Gis Software ◽  
Density Population ◽  
Distance Zone

This study was aimed at designing a spatial zonation model of a subak sustainability type based on the internal and external dimentions from 69 subaks in three districts in Badung regency. The internal dimention was measured based on subak capability index in implementing Tri Hita Karana (THK) philosophy. The external dimention was measured by using index of four variables, namely: road density, population density, social economic facilities, and number of nonfarmer families.The data were analyzed using descriptive quantitative technique and spatial analysis using Geographical Information System (GIS) software. The results found three zones of subak sustainability type, spatially follows the principle of distance decay of the growth of tourism and city center. Unsustainable - less sustainable subak zone dominates short distance zone, sustainable - less sustainable subak zone dominates transitional zone, while sustainable subak zone dominates long distance zone. To protect subak from destruction, less sustainable subaks have to be restored into sustainable ones and the sustainable subaks should be made eternal/exclusive subaks

On the Applicability of “Provision-Appropriation” Theory to Irrigation Management: An Analysis Based on Institutional Change in the Dongping Irrigation Area

2010 ◽  
Vol 2 (1) ◽  
pp. 83-99
Author(s):  
Chen Jing ◽  
Kan Shizuan ◽  
Tong Zhihui
Keyword(s):  
Institutional Change ◽  
Irrigation System ◽  
Irrigation Management ◽  
Historical Research ◽  
Institutional Changes ◽  
Irrigation Systems ◽  
Irrigation Area ◽  
Site Investigations ◽  
Current State ◽  
System Sustainability

AbstractThis paper, based on historical research on irrigation administration in the Dongping area and on-site investigations into its current state, explores the benefits and problems produced by two institutional changes. As a common pool resource situation, irrigation systems’ “provision” and “appropriation” are two separate issues; any institutional change must thus offer two different solutions. The study concludes that the participatory changes undertaken in the Dongping irrigation area failed, in the end, to resolve the problem of irrigation system sustainability. In particular, it proved difficult for collective action to take place around provision, which led to difficulties in operating the irrigation system.

Abstract Machine – Geographical Information Systems (GIS) for literary and cultural studies: ‘Mapping Kavanagh’

2010 ◽  
Vol 4 (1-2) ◽  
pp. 17-37 ◽  
Author(s):  
Charles Travis
Keyword(s):  
Information Systems ◽  
Cultural Studies ◽  
Geographical Information Systems ◽  
Practical Work ◽  
Geographical Information ◽  
Abstract Machine ◽  
Epic Poem ◽  
Spatial Dimensions ◽  
To Come ◽  
Gis Software

Drawing upon previous theoretical and practical work in historical and qualitative applications of Geographical Information Systems (GIS), this paper, in Giles Deleuze and Félix Guattari's terminology, conceptualizes GIS as ‘an abstract machine’ which plays a ‘piloting role’ which does not ‘function to represent’ something real, but rather ‘constructs a real which is yet to come.’ To illustrate this digital humanities mapping methodology, the essay examines Irish writer Patrick Kavanagh's novel The Green Fool (1938) and epic poem The Great Hunger (1946) and their respective contrasting topophilic and topophobic renderings of landscape, identity and sense of place under the lens M.M. Bakhtin's ‘Historical Poetics’ (chronotope) to illuminate GIS's ability to engage in spatio-discursive visualization and analysis. The conceptualizations and practices discussed in this paper reconsider GIS software/hardware/techniques as a means to engage subjects of concern to literary and cultural studies commensurate with the recent strong interest in the geographical and spatial dimensions of these cognate areas.

Site Characterization and Evaluation of Seismic Sources for Amaravati Region

2020 ◽  
Vol 11 (1) ◽  
pp. 71-86
Author(s):  
Madhusudhan Reddy ◽  
Rajashekara Reddy Konda ◽  
Gonavaram Kalyan Kumar ◽  
Asadi S.S.
Keyword(s):  
Andhra Pradesh ◽  
Radial Distance ◽  
Soil Characteristics ◽  
Geographical Information ◽  
Seismic Zonation ◽  
Study Region ◽  
Damage Level ◽  
Regional Factors ◽  
Seismotectonic Map ◽  
Gis Software

After the bifurcation of Telangana from Andhra Pradesh (AP) state in 2014, the Amaravati and adjoining localities has been proposed as a new capital region to the state of AP, India. As per the seismic zonation map of India, the proposed region falls in zone III. However, the prediction of damage level due to earthquakes is highly impossible, as it is influenced by many regional factors. In order to estimate the damage level from the future earthquakes in the present study, the various compositions involved in the regional fields of geological, geomorphological and soil characteristics are evaluated for the selected study region. In addition to this, to understand the seismicity of this region the earthquake catalogue and seismotectonic map have been prepared by collecting the data within 300km radial distance from Velgapudi (16° 52'N, 80° 51'E) as a center. The results of different fields represented in the form of thematic maps for this geographical information system (GIS) software has been used.

scholarly journals Evaluating Irrigation Performance and Water Productivity Using EEFlux ET and NDVI

2021 ◽  
Vol 13 (14) ◽  
pp. 7967
Author(s):  
Usha Poudel ◽  
Haroon Stephen ◽  
Sajjad Ahmad
Keyword(s):  
Water Management ◽  
Sugar Beet ◽  
Crop Yield ◽  
Water Conservation ◽  
Irrigation System ◽  
Water Productivity ◽  
Google Earth ◽  
Geographical Information ◽  
Irrigation Performance ◽  
Crop Water

Southern California’s Imperial Valley (IV) faces serious water management concerns due to its semi-arid environment, water-intensive crops and limited water supply. Accurate and reliable irrigation system performance and water productivity information is required in order to assess and improve the current water management strategies. This study evaluates the spatially distributed irrigation equity, adequacy and crop water productivity (CWP) for two water-intensive crops, alfalfa and sugar beet, using remotely sensed data and a geographical information system for the 2018/2019 crop growing season. The actual crop evapotranspiration (ETa) was mapped in Google Earth Engine Evapotranspiration Flux, using the linear interpolation method in R version 4.0.2. The approx() function in the base R was used to produce daily ETa maps, and then totaled to compute the ETa for the whole season. The equity and adequacy were determined according to the ETa’s coefficient of variation (CV) and relative evapotranspiration (RET), respectively. The crop classification was performed using a machine learning approach (a random forest algorithm). The CWP was computed as a ratio of the crop yield to the crop water use, employing yield disaggregation to map the crop yield, using county-level production statistics data and normalized difference vegetation index (NDVI) images. The relative errors (RE) of the ETa compared to the reported literature values were 7–27% for alfalfa and 0–3% for sugar beet. The average ETa variation was low; however, the spatial variation within the fields showed that 35% had a variability greater than 10%. The RET was high, indicating adequate irrigation; 31.5% of the alfalfa and 12% of the sugar beet fields clustered in the Valley’s central corner were consuming more water than their potential visibly. The CWP showed wide variation, with CVs of 32.92% for alfalfa and 25.4% for sugar beet, signifying a substantial scope for CWP enhancement. The correlation between the CWP, ETa and yield showed that reducing the ETa to approximately 1500 mm for alfalfa and 1200 mm for sugar beet would help boost the CWP without decreasing the yield, which is nearly equivalent to 44.52M cu. m (36,000 acre-ft) of water. The study’s results could help water managers to identify poorly performing fields where water conservation and management could be focused.

Geographical information software and shopper card data, aided in the discovery of a Salmonella Enteritidis outbreak associated with Turkish pine nuts

2014 ◽  
Vol 142 (12) ◽  
pp. 2567-2571 ◽  
Author(s):  
B. BEDARD ◽  
B. S. KENNEDY ◽  
A. C. WEIMER
Keyword(s):  
New York ◽  
Salmonella Enteritidis ◽  
New York State ◽  
Geographical Information ◽  
York State Department ◽  
Epidemiological Investigation ◽  
Outbreak Strain ◽  
Pine Nut ◽  
Department Of Health ◽  
Gis Software

SUMMARYIn 2011, from August to November, the Monroe County Department of Public Health (MCDPH) investigated 47 salmonellosis cases. Geographical information software (GIS) was used to map the address locations of these cases. The resulting GIS analysis and culture information indicated that there were two distinct clusters of Salmonella that were geographically different. Pulsed-field gel electrophoresis (PFGE) testing was run at the New York State Department of Health Wadsworth Laboratory and identified S. Enteritidis (23 cases) and S. Typhimurium (10 cases). The epidemiological investigation identified Turkish pine nuts as the link between ill S. Enteritidis cases. Pine nut samples sent for laboratory testing were a PFGE match to human isolates with S. Enteritidis. A national recall of Turkish pine nuts ensued. A multistate outbreak was identified as a result of the initial investigation of MCDPH, in which 43 people were infected with the outbreak strain from five states. GIS software and shopper card data provided important tools in the epidemiological investigation.

scholarly journals Application of Smart Artifi cial Neural Networks for Forecasting of the Irrigation Water Chemical Indicators (the Inguletsk Long-distance Channel as a Study Case)

2012 ◽  
pp. 17-28
Author(s):  
Keyword(s):  
Neural Networks ◽  
Irrigation Water ◽  
Learning Algorithm ◽  
Irrigation System ◽  
Long Distance ◽  
Chemical Indicators ◽  
Water Quality Change ◽  
The Neural Networks ◽  
Formation Conditions ◽  
First Time

Assessment and water quality change forecast have been made for the Kherson Oblast Inguletsk irrigation system and for the current conditions of its formation. For the first time artificial neural networks have been developed and used for forecasting of the irrigation water hydro/chemical regime transient processes with the Inguletsk long-distance channel as an example. The neural networks learning algorithm parameters’ optimal values have been determined and further hydro/chemical regime formation conditions for the Inguletsk channel have been forecasted.

scholarly journals Google Earth, Google SketchUp and GIS software; An Interoperable Work Flow for Generating Elevation Data

2019 ◽  
Author(s):  
José Gomes dos Santos ◽  
Kevin Bento ◽  
Joaquim Lourenço Txifunga
Keyword(s):  
Geographical Information Systems ◽  
Satellite Image ◽  
Google Earth ◽  
Work Flow ◽  
Geographical Information ◽  
Geospatial Information ◽  
Territorial Planning ◽  
Elevation Data ◽  
Google Sketchup ◽  
Gis Software

Data creation is often the only way for researchers to produce basic geospatial information for the pursuit of more complex tasks and procedures such as those that lead to the production of new data for studies concerning river basins, slope morphodynamics, applied geomorphology and geology, urban and territorial planning, detailed studies, for example, in architecture and civil engineering, among others. This exercise results from a reflection where specific data processing tasks executed in Google Sketchup (Pro version, 2018) can be used in a context of interoperability with Geographical Information Systems (GIS) software. The focus is based on the production of contour lines and Digital Elevation Models (DEM) using an innovative sequence of tasks and procedures in both environments (GS and GIS). It starts in Google Sketchup (GS) graphic interface, with the selection of a satellite image referring to the study area—which can be anywhere on Earth's surface; subsequent processing steps lead to the production of elevation data at the selected scale and equidistance. This new data must be exported to GIS software in vector formats such as Autodesk Design Web format—DWG or Autodesk Drawing Exchange format—DXF. In this essay the option for the use of GIS Open Source Software (gvSIG and QGIS) was made. Correcting the original SHP by removing “data noise” that resulted from DXF file conversion permits the author to create new clean vector data in SHP format and, at a later stage, generate DEM data. This means that new elevation data becomes available, using simple but intuitive and interoperable procedures and techniques which confgures a costless work flow.

Analysis of Constructing 3-Dimensional Virtual Scene Technique Based on DEM

2011 ◽  
Vol 271-273 ◽  
pp. 404-409
Author(s):  
Xiao Gen Li ◽  
Zhi Quan Huang ◽  
Tong Jiang ◽  
An Ming Wang
Keyword(s):  
High Resolution ◽  
Spatial Data ◽  
Geographical Information ◽  
Long Distance ◽  
Virtual Scene ◽  
3 Dimensional ◽  
Reservoir Volume ◽  
Factors Analysis ◽  
Digital Elevation ◽  
Elevation Model

High resolution DEM(Digital Elevation Model, DEM) is created based on original CAD terrain map (one reservoir as example). Then the article offers precision analysis、topographic factors analysis、visibility analysis、reservoir volume and submerging acreage computing. Then adopting GeoVRML technique is to implement the functions of WebGIS 、visualization and query of computing result、graph data visualization and reservoir region virtual scene roaming etc. The system implements deep administrative levels information diged and long-distance visualization expression. The result shows on the basic high resolution DEM to realize 3-Dimensional Visualization Analyse and calculation functions and compress the spatial data to release these data in the WebGIS(Web Geographical Information System, WebGIS) as well as.

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