Estimation Of High-Resolution Rainfall Using Microwave Links Data Of Cellular System

Muhammad Mohsin Waqas (), Muhammad Awais and Syed Hamid Hussain Shah
Additional contact information
Muhammad Mohsin Waqas: Department of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan
Muhammad Awais: Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Pakistan
Syed Hamid Hussain Shah: Faculty of Science and Technology, Athabasca University, Canada

Big Data In Agriculture (BDA), 2020, vol. 2, issue 1, 17-19

Abstract: One cannot manage what one does not measure is an old adage that is valid for the rainfall in the irrigated irrigation system. Water resources management required the efficient measurement of all water resources management component. Water resources management components measurement is the responsibility of respective organization. Rainfall measurement is the responsibility of the Pakistan Meteorological Department using standard gauge system. Deficiency in the system is the low spatial and temporal resolution. This directed the water manager towards the high resolution of satellite system. Satellite resolution is still course than the available cellular towers system and it is unable to capture the high resolution spatio-temporal variation in the Rainfall. This challenge of high resolution was conquered using microwave signals of Telenor cellular communication system in the surrounded area of Water Management Research Centre, University of Agriculture, Faisalabad. Rainfall was estimated based on the attenuation in the microwave signal between receiver and transmitter of the link. Receiver and transmitter are two different antenna on the cellular tower. One receiver and one transmitter make the single link. High resolution data at 15-minute temporal and 1.5Km spatial of total 24 links was processed using the R language written code. Results presented that the average daily rainfall using cellular system was 14.5 mm, while the satellite derived rainfall from Tropical Rainfall Measuring Mission (TRMM) was found zero and UAF meteorological showed 21.3 mm. Further the temporal resolution was found finer from cellular system that rainfall was occurred at 22:15 to 22:45. The spatial variation in the rainfall between links was found with the minimum of less than 1mm and maximum of 42.9 mm. This state-of-the-art techniques helps the hydrologist for comprehensive analysis and management of the water resources.

Keywords: Microwave Signals; TRMM; Rainfall. (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://bigdatainagriculture.com/download/703/ (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnbda:v:2:y:2020:i:1:p:17-19

DOI: 10.26480/bda.01.2020.17.19

Access Statistics for this article

Big Data In Agriculture (BDA) is currently edited by Dr. Muhammad Azeem Khan

More articles in Big Data In Agriculture (BDA) from Zibeline International Publishing
Bibliographic data for series maintained by Zibeline International Publishing ( this e-mail address is bad, please contact ).