scholarly journals Classification of Groundwater Suitability for Irrigation in the Ulagalla Tank Cascade Landscape by GIS and the Analytic Hierarchy Process

Agronomy ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 351 ◽  
Author(s):  
M.K.N. Kumari ◽  
Kazuhito Sakai ◽  
Sho Kimura ◽  
Kozue Yuge ◽  
M.H.J.P. Gunarathna
Keyword(s):  
Water Quality ◽  
Sri Lanka ◽  
Analytic Hierarchy Process ◽  
Heavy Rain ◽  
Geographical Information ◽  
Analytic Hierarchy ◽  
Dry Zone ◽  
The Analytic Hierarchy Process ◽  
Cropping Seasons ◽  
Hierarchy Process

The tank cascade system (TCS) has been used for over 2000 years for water management in Sri Lanka. Since surface water is limited in the dry zone of Sri Lanka, agricultural production, especially of upland crops, relies on groundwater for irrigation. We sampled 29 wells in the Ulagalla cascade, a prominent TCS near Anuradhapura city in the dry zone of Sri Lanka, in Yala (dry) and Maha (wet) seasons, the two main cropping seasons in Sri Lanka. We evaluated the suitability of groundwater for irrigation using the analytic hierarchy process and geographical information system. Water quality did not vary notably between seasons. However, it deteriorated with the onset of high intensity heavy rain, especially during the Maha season. A water quality zoning map indicated that groundwater in 4% and 96% of the study area is suitable and moderately suitable for irrigation, respectively. Irrigation water quality in tank cascade landscapes and similar environments can be assessed using this methodology and our results.

scholarly journals Determination of Priority Areas for Groundwater Development by Using the Analytic Hierarchy Process Method in Rote Island

2021 ◽  
Vol 930 (1) ◽  
pp. 012052
Author(s):  
H Syafarini ◽  
H Hendrayana ◽  
S Winardi
Keyword(s):  
Analytic Hierarchy Process ◽  
Groundwater Development ◽  
Geographical Information ◽  
Annual Rainfall ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Priority Areas ◽  
Potential Groundwater ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Abstract This study aims to determine other exploration targets related to priority areas for groundwater utilization development on Rote Island. In arranging priority areas for groundwater development, remote sensing data and Geographical Information Systems (GIS) are integrated with the Analytic Hierarchy Process (AHP) method. The parameters used are lineament (F), lithology (L), slope (T), drainage density (D), and rainfall (R). F, T, and D were obtained from DEM map analysis. L was obtained from regional geological maps. Moreover, R was obtained from annual rainfall data from the rain station of the study area. All parameters were overlaid using GIS and assign weights using the AHP method. The results will be compared to the locations of springs and wells scattered in the study area. There are five classifications of potential groundwater areas on Rote Island, namely very high is 34 km2 in the East part; high is 383.25 km2 in the South, East, and Northeast part; moderate is 549.50 km2 in the North and South part; low is 246.50 km2 and very low is 2.198 km2 in the West part of the research area. Considering the existing observation springs in Rote Island using average yields in each classification area confirms the correctness of the potential groundwater areas.

Index of suicide risk in Mexico using Twitter

2019 ◽  
pp. 1-13
Author(s):  
Luz Judith Rodríguez-Esparza ◽  
Diana Barraza-Barraza ◽  
Jesús Salazar-Ibarra ◽  
Rafael Gerardo Vargas-Pasaye
Keyword(s):  
Social Networks ◽  
Analytic Hierarchy Process ◽  
Suicide Risk ◽  
Opinion Mining ◽  
Real Data ◽  
Analytic Hierarchy ◽  
Specialized Care ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Objectives: To identify early suicide risk signs on depressive subjects, so that specialized care can be provided. Various studies have focused on studying expressions on social networks, where users pour their emotions, to determine if they show signs of depression or not. However, they have neglected the quantification of the risk of committing suicide. Therefore, this article proposes a new index for identifying suicide risk in Mexico. Methodology: The proposal index is constructed through opinion mining using Twitter and the Analytic Hierarchy Process. Contribution: Using R statistical package, a study is presented considering real data, making a classification of people according to the obtained index and using information from psychologists. The proposed methodology represents an innovative prevention alternative for suicide.

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