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Optimization of Monitoring Network to the Rainfall Distribution by Using Stochastic Search Algorithms: Lesson from Pakistan Cover

Optimization of Monitoring Network to the Rainfall Distribution by Using Stochastic Search Algorithms: Lesson from Pakistan

Tellus
Volume 74 (2022): Issue 1
By: ,  ,  ,  ,   and    
Open Access
|Aug 2022
Figures & tables

Figures & Tables

Figure 1

Study area with 441 potential candidates.

Figure 2

The 52 sampling locations in the existing rainfall monitoring network of Pakistan.

Figure 3

Geographical placement of 30 additional and deleted location by GA under both interpolation procedures for Pakistan meteorological rainfall monitoring network.

Note: Some of the points overlap each other (all the coordinate’s names can be provided on demand).

Figure 4

Geographical placement of 30 additional and deleted location by SSA under both interpolation procedures for Pakistan meteorological rainfall monitoring network.

Note: Some of the points overlap each other (all the coordinate’s names can be provided on demand).

Table 1

Pakistan dataset: adding and deleting measurements to the initial design with OK and UK as interpolation Procedure- SA: Simulated Annealing; GA: Genetic Algorithms.

SCENARIOMETHODIPAKVSCENARIOMETHODIPAKV
Add5SSAOK1.1498Del 5SSAOK1.1935
Add5SSAUK0.8419Del 5SSAUK0.9723
Add5GAOK5.0918Del 5GAOK5.6001
Add5GAUK4.8221Del 5GAUK5.4211
Add10SSAOK1.1181Del 10SSAOK1.2070
Add10SSAUK0.8399Del 10SSAUK0.9812
Add10GAOK4.9211Del 10GAOK5.6821
Add10GAUK4.7811Del 10GAUK5.5211
Add15SSAOK1.1181Del 15SSAOK1.2286
Add15SSAUK0.8382Del 15SSAUK0.9935
Add15GAOK4.8221Del 15GAOK5.7211
Add15GAUK4.5211Del 15GAUK5.6244
Add20SSAOK1.0943Del 20SSAOK1.2563
Add20SSAUK0.8322Del 20SSAUK1.0001
Add20GAOK4.7221Del 20GAOK5.8001
Add20GAUK4.4321Del 20GAUK5.6901
Add25SSAOK1.0832Del 25SSAOK1.2955
Add25SSAUK0.8298Del 25SSAUK1.0231
Add25GAOK4.6001Del 25GAOK5.9211
Add25GAUK4.442Del 25GAUK5.7212
Add30SSAOK1.0765Del 30SSAOK1.3593
Add30SSAUK0.8923Del 30SSAUK1.2322
Add30GAOK4.4211Del 30GAOK5.9811
Add30GAUK5.8321Del 30GAUK5.8321
DOI: https://doi.org/10.16993/tellusa.247 | Journal eISSN: 3035-9554
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Language: English
Page range: 333 - 345
Submitted on: Jul 17, 2022
Accepted on: Jul 26, 2022
Published on: Aug 4, 2022
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
Environmental parameters,
Variogram,
Genetic algorithms,
Spatial simulated annealing,
Average Kriging Variance

© 2022 Talha Omer, Mahmood Ul Hassan, Ijaz Hussain, Maryam Ilyas, Syed Ghulam Mohayud Din Hashmi, Yousaf Ali Khan, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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