scholarly journals Analysis of irrigation system performance based on an integrated approach with Sentinel-2 satellite images

2021 ◽  
Vol 52 (2) ◽  
Author(s):  
Meriem Er-Rami ◽  
Guido D'Urso ◽  
Nicola Lamaddalena ◽  
Daniela D'Agostino ◽  
Oscar Rosario Belfiore

The improvement of performance of irrigation systems plays a fundamental role in increasing their efficiency in order to reach a sound use of irrigation water. The COPAM (Combined Optimization and Performance Analysis Model) has proven its usefulness in performance evaluation of on-demand irrigation systems; however, in many cases, input data, such as water volumes delivered by hydrants, is not readily available. To support a wider application of the COPAM, we tested the possibility of using irrigation volumes estimated by means of space-borne remote sensing. The Sentinel-2 (S2) constellation provides high spatial resolution images with a frequency between 2 and 5 days, which is compatible with COPAM input requirements. In the present work, an irrigation sector in the Capitanata irrigation network (Foggia Province, no. 6 of District 10) in Italy was chosen to assess its performance by using COPAM with volumes estimated from Sentinel-2 data. As an input of COPAM, the upstream discharge was determined after a proper transformation of the estimated irrigation water requirement volumes and the recorded volumes into flowrates. The estimation of the irrigation water requirement volumes was accomplished through the estimation of crop evapotranspiration, Etcrop, and effective precipitation, Pn, by combining crop parameters (leaf area index - LAI, fractional vegetation cover - fc, and Albedo) derived from S2 images and the meteorological data from the ERA5 single levels reanalysis dataset collected for the whole study period, from June 1st to September 30th, 2019. The study comprised a comparison of the estimated irrigation water volumes and the corresponding recorded volumes. The results showed a good agreement between the estimated and the registered volumes in a large time scale for 10 days and a one-month period, while a large difference was observed in a daily time scale. The performance analysis was carried out for the overall system and at hydrant level. The estimated discharge was lower than the registered discharge, indicating better performance. Last but not least, some recommendations were proposed for improving performance in critical zones.

2019 ◽  
Vol 8 (4) ◽  
pp. 2859-2866

The rapid increase of desertification’s degradation is one of the worst environmental and economic threats for dry areas. Climate changes, very year impacts thousands of areas across the globe. The high cost of electricity and diesel-based fuel affects photovoltaic water pumping requirements for irrigation in many parts of the world. Solar irradiance in every dry place is extremely high due the drought increase. Thus, using solar energy for water pumping is a promising alternative sources of energy. Undertaking irrigation for a particular place and crop requires not only skills in the irrigation planning but also in the power requirement of the entire system. A reliable and accurate estimation of ET rate and irrigation water requirement (IWR) are soundly important in irrigation field. This sought to accurately estimate the irrigation power requirement by using PVsyst software on nine different pumps technologies combinations with different type of converters at 100m, 150m, 180m, and 200m of Total dynamic Head (TDH). The study has been conducted in four sections, the first section dealt with the assessment of the collected data, the second section with the simulations, the third one with the irrigation water requirement and finally irrigation water requirement. The results found in study show that IPR of a crop is majorly depend on the TDH. Among the nine combinations, results show that the Maximum Power Point Tracking (MPPT) technology is the best in terms of power requirement of selected the crop. Furthermore, the maximum and minimum values of the irrigation water requirement for millet crop was found to be 12.9 mm/day and 4.9mm/day respectively.


2020 ◽  
Vol 8 (5) ◽  
pp. 1060-1068
Author(s):  
Santhosh UN ◽  
Desai BK ◽  
Satyanarayana Rao ◽  
Masthana Reddy BG ◽  
Vinay Krishnamurthy ◽  
...  

1985 ◽  
pp. 755-765
Author(s):  
Shie-Yui Liong ◽  
Ongko Sutjahyo ◽  
Bernard Rasli

2019 ◽  
Author(s):  
MAYA AMALIA ACHYADI ◽  
KOICHIRO OHGUSHI ◽  
TOSHIHIRO MORITA ◽  
SU WAI THIN ◽  
WATARU KAWAHARA

2020 ◽  
Vol 710 ◽  
pp. 135589 ◽  
Author(s):  
Jonathan J. Ojeda ◽  
Ehsan Eyshi Rezaei ◽  
Tomas A. Remenyi ◽  
Mathew A. Webb ◽  
Heidi A. Webber ◽  
...  

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