scholarly journals Application of The Hierarchical Multicriteria Analysis Method to The Study of Water Erosion (South of Azilal, Morocco)

2021 ◽  
Vol 2 (1) ◽  
pp. 12-22
Author(s):  
Abdelouhed Farah ◽  
Ahmed Algouti ◽  
Abdellah Algouti ◽  
Mohamed Ifkirne
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
High Risk ◽  
Multicriteria Analysis ◽  
Water Erosion ◽  
Soil Conditions ◽  
Analysis Method ◽  
Erosion Risk ◽  
Risk Zones ◽  
Sensitivity Map

This study aims to apply the process of the analytical hierarchy in geographic information system to the study of water erosion in the southern part of the Azilal region, Morocco. This method is an important tool to be used in the planning and management of natural risks; it has allowed us to obtain a multi-factorial sensitivity map to water erosion. This sensitivity map of erosive soil conditions in the study area shows that 6% of the area is (less) exposed to erosion risk while 85% of the mapped area is moderately exposed to erosion risk and only 8% of the mapped area is highly exposed to water weathering factors.  Visually, the high-risk zones correspond to the area around ‘’Oued Lakhdar’’ and its tributaries.

scholarly journals PREDIKSI DAN ANALISIS TEMPAT PEMBUANGAN AKHIR (TPA) SAMPAH DI KOTA PADANG

JURNAL BUANA ◽  
2018 ◽  
Vol 2 (2) ◽  
pp. 423
Author(s):  
Mia Audina
Keyword(s):  
Information System ◽  
Quantitative Analysis ◽  
Geographic Information System ◽  
Population Density ◽  
Land Cover ◽  
Rice Field ◽  
Geographic Information ◽  
Analysis Method ◽  
Quantitative Analysis Method ◽  
Population Prediction

PREDIKSI DAN ANALISIS TEMPAT PEMBUANGAN AKHIR (TPA) SAMPAH DI KOTA PADANG Program Studi Geografi, Fakultas Ilmu Sosial, Universitas Negeri Padang Email: [email protected] Abstrak Penelitian ini bertujuan untuk1) mengetahui tutupan lahan Kota Padang, 2) mengetahui prediksi jumlah penduduk dan volume sampah di Kota Padang 3) mengetahui luas TPA dan lokasi rekomendasi TPA. Metode yang digunakan dalam penelitian ini adalah metode analisis kuantitatif. Model yang digunakan Sistem Informasi Geografis (SIG) di overlay menggunakan parameter pengharkatan. Hasil penelitian menunjukkan, 1) analisis tutupan lahan Citra Landsat Kota Padang tahun 2016 adalah; Vegetasi (51486,40 Ha), Lahan Terbangun (11578,44 Ha), dan Sawah (5713,93 Ha). 2) prediksi penduduk pada tahun 2026 sebesar 1.011.166 jiwa dan prediksi volume sampah sebesar 2.952.604.720 kg/jiwa,.3) lahan yang dibutuhkan untuk TPA sebesar 45,67 Ha dengan luas daerah penyangga 11,42 Ha. Rekomendasi pendirian TPA berada pada Kecamatan Koto Tangah dan Kuranji. Kata kunci:Tutupan Lahan, Kepadatan Penduduk dan Volume Sampah, Luas TPA dan Rekomendasi TPA Abstract This study aims to 1) to know the land cover of Padang City, 2) to know the prediction of population and the volume of waste in Padang City 3) to know the extent of TPA and the location of the TPA recommendation. The method used in this research is quantitative analysis method. The model used Geographic Information System (GIS) in overlay using the parameters. The results showed, 1) analysis of land cover Citra Landsat Padang in 2016 is; Vegetation (51486,40 Ha), Built Land (11578.44 Ha), and Rice Field (5713,93 Ha). 2) population prediction in 2026 of 1,021,329 people and prediction of waste volume of 2.952.604.720 kg/ soul. 3) the land needed for the landfill of 45.67 Ha with a buffer area of 11.42 Ha. The recommendations for the establishment of TPA are located in Koto Tangah and Kuranji Sub-districts. Keywords:Land Cover, Population Density and Waste Volume, Extensive Landfill and Landfill Recomendation

scholarly journals Remote Sensing and Geographic Information System in Water Erosion Assessment

2020 ◽  
Author(s):  
Nirmal Kumar ◽  
S. K. Singh ◽  
G. P. Obi Reddy ◽  
V. N. Mishra ◽  
R. K. Bajpai
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Spatial Data ◽  
Soil Loss ◽  
Water Erosion ◽  
Geographic Information ◽  
Geographical Information ◽  
Comprehensive Overview

The aim of this review paper is to provide a comprehensive overview of geographical information system and remote sensing–based water erosion assessment. With multispectral and multi-temporal low cost data at various resolutions, remote sensing plays an important role for mapping the distribution and severity of water erosion and for modeling the risk and/or potential of soil loss. The ability of geographic information system to integrate spatial data of different types and sources makes its role unavoidable in water erosion assessment. The role of satellite data in identification of eroded lands and in providing inputs for erosion modeling has been discussed. The role of GIS in mapping eroded lands based on experts’ opinion, in generating spatial data inputs from sources other than remote sensing and in integrating the inputs to model the potential soil loss has been discussed.

Suscetibilidade à erosão hídrica do solo: bacia hidrográfica do rio Capim (MA-PA)

2021 ◽  
Vol 43 ◽  
pp. e55
Author(s):  
Dênis José Cardoso Gomes ◽  
Aline Maria Meiguins de Lima ◽  
Edivaldo Afonso de Oliveira Serrão ◽  
Hernani José Brazão Rodrigues
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Soil Water ◽  
Soil Classification ◽  
Water Erosion ◽  
The Other ◽  
Warning Sign ◽  
Entire Axis ◽  
Land Cover Data

The objective of this study was to analyze the sustainability to water erosion in the Capim river/PA-MA. Acquired precipitation (GPCC), slope (TOPODATA project), land use and land cover data (MapBiomas) and pedology (Brazilian Soil Classification System) were obtained. Based on these variables, in a Geographic Information System environment, the product representing the sustainability to soil water erosion was generated. A sustainability gradient for soil water erosion was observed in the SE-NW direction, where it was higher near the mouth of the Capim River. The other variables were: clinical component presenting predominance of stability and high sustainability in the south of the basin; land use influences the entire axis of the basin, indicating instability in the medium-low Capim and in the extreme southeast. It was observed that the sustainability to erosion in the Capim watershed is motivated by intensified land use near the mouth. The zoning carried out in the basin is a warning sign for the municipalities of São Domingos do Capim, Rondon do Pará and Goianésia do Pará.

scholarly journals Multivariate spatio-temporal approach to identify vulnerable localities in dengue risk areas using Geographic Information System (GIS)

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Gayan P. Withanage ◽  
Malika Gunawardana ◽  
Sameera D. Viswakula ◽  
Krishantha Samaraweera ◽  
Nilmini S. Gunawardena ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
High Risk ◽  
Sri Lanka ◽  
Risk Model ◽  
Early Warning Systems ◽  
Geographic Information ◽  
Distance Functions ◽  
Public Places ◽  
Risk Areas

AbstractDengue is one of the most important vector-borne infection in Sri Lanka currently leading to vast economic and social burden. Neither a vaccine nor drug is still not being practiced, vector controlling is the best approach to control disease transmission in the country. Therefore, early warning systems are imminent requirement. The aim of the study was to develop Geographic Information System (GIS)-based multivariate analysis model to detect risk hotspots of dengue in the Gampaha District, Sri Lanka to control diseases transmission. A risk model and spatial Poisson point process model were developed using separate layers for patient incidence locations, positive breeding containers, roads, total buildings, public places, land use maps and elevation in four high risk areas in the district. Spatial correlations of each study layer with patient incidences was identified using Kernel density and Euclidean distance functions with minimum allowed distance parameter. Output files of risk model indicate that high risk localities are in close proximity to roads and coincide with vegetation coverage while the Poisson model highlighted the proximity of high intensity localities to public places and possibility of artificial reservoirs of dengue. The latter model further indicate that clustering of dengue cases in a radius of approximately 150 m in high risk areas indicating areas need intensive attention in future vector surveillances.

scholarly journals Regional scale screening over selected regions of bangladesh to identify potential sites for the disposal of low and intermediate level radioactive waste

2021 ◽  
pp. 10-10
Author(s):  
Khondokar Sakib ◽  
Abu Haydar ◽  
Idris Ali ◽  
Debasish Paul ◽  
Shah Alam
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Radioactive Waste ◽  
Regional Scale ◽  
Geographic Information ◽  
Analysis Method ◽  
Continental Scale ◽  
Suitability Map ◽  
Suitability Maps ◽  
Multi Criteria Analysis

Disposal of radioactive wastes has been emerged as a vital issue for Bangladesh as the country is actively working to be the nuclear power plant operating country by 2023-2024. Current study aims to find out potential sites for a near-surface disposal facility using geographic information system software and multi-criteria analysis method. Previously six regions (Region-1 to Region-6) were identified upon performing continental scale screening over the whole territory of Bangladesh. In the current study, regional scale screening has been performed over the Region-1 and Region-2 using five criteria divided into fifteen sub-criteria, namely earthquakes, wind speed, rainfall, cultivated-vegetated land, forests, buildings-facilities-build up areas (area), buildings-facilities-Industries-institutions (Point), population density, medium-broad road and railway, narrow road, power line, ground water table, surface water body and lastly flood were used in the analysis. The suitability map and relative importance weighting of these sub-criteria were determined by using geographic information system and multi-criteria analysis method. The overlay analysis was performed over suitability maps of each sub-criterion and found final suitability map of the Region-1 and Region-2. These suitability maps were divided into six category, namely excluded area, most suitable, suitable, moderately suitable, unsuitable and completely unsuitable. Nineteen potential sites with maximum and minimum area of 7.90 km2 and 1.15 km2 were identified from these most suitable and suitable areas. Detailed field investigation and site characterization are needed to be performed on selected potential sites to choose a final disposal site for the low and intermediate levels of radioactive waste.

scholarly journals PEMETAAN CAKUPAN DAYA PANCAR SINYAL GSM 2G TELKOMSEL DI KOTA MANOKWARI MENGGUNAKAN ANALISIS SIG

2018 ◽  
Vol 14 (1) ◽  
pp. 61-73
Author(s):  
Dwi Safitri ◽  
Abdul Muis Muslimin ◽  
Rosalina R Mirino
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Dimensional Analysis ◽  
System Analysis ◽  
Geographic Information ◽  
Analysis Method ◽  
3 Dimensional ◽  
Shadow Area ◽  
Geographic Information System Analysis ◽  
Dimensional Analysis Method

A study has been conducted on evaluating the coverage signals transmitting power of BTS Telkomsel in the city of Manokwari using geographic information system analysis. This study aims to analyze the coverage of the signal transmitting power of each  BTS Telkomsel in the study area based on the residential and administrative variables, by determining the slope shadow area using 3-dimensional analysis and mapping the coverage of Telkomsel's cellular network in Manokwari Regency with the analysis method of Geographic Information System (GIS). From the study, Telkomsel GSM 2G signal coverage map was obtained based on residential variables, the area covered by the signal is in West Manokwari District around 99.78% covering an area of 9.3 km2, in East Manokwari District around 96.24% covering 2.05 km2, At South Manokwari District around 12.3% covering 0.81 km2 and in North Manokwari District there is no residential area covered by the signal. Based on administrative boundaries, the area of ​​the district covered by GSM 2G Telkomsel is obtained, in West Manokwari District around 64% covering an area of  41.1 km2, in East Manokwari District around 80% covering 15 km2, in South Manokwari District around 50.31% covering 3.7 km2 and in North Manokwari District which is about 4% covering 1.2 km2. With the 3-dimensional analysis method it can also be seen that the slope shadow area that is not reachable by Telkomsel's 2G GSM signal. From the results of data processing, a slope shadow area with an area of ​​0.2 km2.

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