scholarly journals Remote sensing and Geographical Information System using for Water Resources Management for Bandama Watershed (Côte d’Ivoire): Case study of Kohoua Subwatershed at Farandougou

2019 ◽  
Vol 3 (4) ◽  
pp. 123-128
Author(s):  
Avy Stéphane KOFFI ◽  
Omer Zéphir DE LASME ◽  
Oumar FOFANA
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Water Resources ◽  
Geographical Information System ◽  
Water Resources Management ◽  
Cote D'ivoire ◽  
Côte D’Ivoire ◽  
Geographical Information ◽  
Resources Management

scholarly journals GFIS (Geographic Forecasting Information System): A Case Study in Water Resources Management

2013 ◽  
Vol 5 (2) ◽  
pp. 57-63
Keyword(s):  
Time Series ◽  
Information System ◽  
Water Resources ◽  
Water Resources Management ◽  
Geographical Information ◽  
Cross Sectional ◽  
Resources Management ◽  
System A ◽  
Arcview Gis

The current study presents the development of a Forecasting Information System for geographic data (cross-sectional time-series for different geographic regions). GFIS, Geographic Forecasting Information System, was developed with MS Visual Basic (User Interface), ArcView (GIS) and MS Access (DBMS) during the MSc thesis of one of the authors in 2000. GFIS is suitable for the management and forecasting for all time-series that present a geographic dimension and can be illustrated in a Geographical Information System (GIS). The forecasting capabilities of the system extend from classical time-series extrapolation methods (exponential smoothing, regression) (Assimakopoulos, 1994) to more complex methods (Theta model). The applicability of the system was tested with a case study in Water Resources Management. GFIS was used in order to create rainfall forecasts for the watersheds in Lakonia, a region in southern Greece. The estimation, forecasting, planning and management of hydrological resources are of great importance and prerequisite for sustainable development.

Integrated Water Harvesting and Aquifer Recharge Evaluation Methodology Based on Remote Sensing and Geographical Information System: Case Study in Iraq

2021 ◽  
Vol 30 (3) ◽  
pp. 2119-2143
Author(s):  
Muthanna M. A. AL-Shammari ◽  
Ayser M. AL-Shamma’a ◽  
Ali Al Maliki ◽  
Hussain Musa Hussain ◽  
Zaher Mundher Yaseen ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographical Information System ◽  
Geographical Information ◽  
Evaluation Methodology ◽  
Water Harvesting ◽  
Aquifer Recharge

scholarly journals Modeling of Runoff in the Arid Regions Using Remote Sensing and Geographic Information System (GIS)

2020 ◽  
Vol 15 (5) ◽  
pp. 691-700
Author(s):  
Ahmed Shahadha Muneer ◽  
Khamis Naba Sayl ◽  
Ammar Hatem Kamel
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Water Resources ◽  
Water Resources Management ◽  
Surface Runoff ◽  
Arid Regions ◽  
Western Desert ◽  
Resources Management ◽  
Good Agreement

One of the most important challenges in the field of engineering hydrology and water resources management, especially in arid regions such as the Iraqi Western Desert, is the process of predicting and quantifying the surface runoff. The limited available data about rainfall, runoff, soil properties, evaporation, and the lack of metrological stations make the process of predicting and calculating surface runoff a very difficult task. Modern technology can help with the purpose of compensating for the shortage of data and providing the information necessary to estimate the runoff and develop the system of water resources management in the region. The present study develops a model to determine the infiltration of soil from spectral reflectance using Artificial Neural Networks (ANN) integrated with a geographic information system (GIS) and remote sensing (RS). Field infiltration measurements for 105 soil samples in the Al-Ratga catchment area in the Iraqi western desert are achieved. The performance of the developed model was assessed both qualitatively and quantitatively (effective runoff depth) by comparing the results of actual and estimated basic infiltration rate values for each sample. The results refer to a good agreement between estimated and measured infiltration (R2=0.768). The developed model predicts the runoff depending on the water balance equation and the results refer to good agreement with the SCS-CN model that is one of the most widely used in this region.

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