scholarly journals Estimating evapotranspiration and irrigation water requirement in phonology stages of grape (VitisVinifera) using agro-hydrological model and remote sensing techniques

2021 ◽  
Author(s):  
SeyyedHadi Sadeghi ◽  
Mohammad Faramarzi ◽  
Hamid Nouri
Keyword(s):  
Remote Sensing ◽  
Irrigation Water ◽  
Hydrological Model ◽  
Water Requirement ◽  
Irrigation Water Requirement ◽  
Study Region ◽  
Remote Sensing Techniques ◽  
Management Approaches ◽  
Semi Arid Region ◽  
Field Water Balance

Abstract This study aims to compare the remote sensing (RS) approach and an agro-hydrological model to estimate evapotranspiration (ET) and irrigation water requirement (IWR) in semi-arid region, and the effect of vineyards management and their ages on these parameters. In the study region, after vineyards were classified into three main scenarios based on three vineyards ages (12-15, 15-18 and 18-21 years) and two management approaches (proper and improper management), ET and IWR were determined in each scenario using the Soil-Water-Atmosphere–Plant (SWAP) Model and Surface Energy Balance Algorithm for Land (SEBAL) for the year of 2019-2020 with Landsat8 images. While the accumulated ET calculated with SEBAL was compared with a field water balance, the results showed that without calibration or parameter optimization, the accumulated ET estimated with SEBAL exceeded that computed with SWAP. According to the findings, the most and least RMSE was related to August (1.32) and June (1.26). Analyses of scenarios showed that at the first stage of phonology (bud-break to bloom), the S3 scenario has the most IWR for each pixel (900 m2) by 2.7 m3, and at the second stage (bloom to ripening) and the third stage (ripening), the S1 scenario by 229.5 m3 and 78 m3 has the highest IWR, respectively.

scholarly journals Assessment of Water Pumping System Powered By Solar Pump in Dry Areas

2019 ◽  
Vol 8 (4) ◽  
pp. 2859-2866
Keyword(s):  
Irrigation Water ◽  
Water Requirement ◽  
Accurate Estimation ◽  
Irrigation Water Requirement ◽  
Irrigation Planning ◽  
Power Requirement ◽  
Promising Alternative ◽  
Point Tracking ◽  
Water Pumping ◽  
Dry Areas

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.

scholarly journals Trade-off with different establishment methods in terms of irrigation water requirement and weed pressure of rice (Oryza sativa L.)

2020 ◽  
Vol 8 (5) ◽  
pp. 1060-1068
Author(s):  
Santhosh UN ◽  
Desai BK ◽  
Satyanarayana Rao ◽  
Masthana Reddy BG ◽  
Vinay Krishnamurthy ◽  
...  
Keyword(s):  
Oryza Sativa ◽  
Irrigation Water ◽  
Oryza Sativa L ◽  
Water Requirement ◽  
Irrigation Water Requirement ◽  
Trade Off

Analysis of agronomic drought over North Africa using remote sensing satellite data

2021 ◽  
Author(s):  
Mehrez Zribi ◽  
Simon Nativel ◽  
Michel Le Page
Keyword(s):  
Remote Sensing ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
North Africa ◽  
Vegetation Cover ◽  
Remote Sensing Data ◽  
Study Region ◽  
Semi Arid Region ◽  
Anomaly Index

<p>This paper aims to analyze the agronomic drought in a highly anthropogenic  semi-arid region, North Africa. In the context of the Mediterranean climate, characterized by frequent droughts, North Africa is particularly affected. Indeed, in addition to this climatic aspect, it is one of the areas most affected by water scarcity in the world. Thus, understanding and describing agronomic drought is essential. The proposed study is based on remote sensing data from TERRA-MODIS and ASCAT satellite, describing the dynamics of vegetation cover and soil water content through NDVI and SWI indices. Two indices are analyzed, the Vegetation Anomaly Index (VAI) and the Moisture Anomaly Index (MAI). The dynamics of the VAI is analyzed for different types of regions (agircultural, forest areas). The contribution of vegetation cover is combined with the effect of soil water content through a new drought index combining the VAI and MAI. A discussion of this combination is proposed on different study areas in the study region. It illustrates the complementarity of these two informations in analysis of agronomic drought.</p>

Irrigation Water Requirement Model

1985 ◽  
pp. 755-765
Author(s):  
Shie-Yui Liong ◽  
Ongko Sutjahyo ◽  
Bernard Rasli
Keyword(s):  
Irrigation Water ◽  
Water Requirement ◽  
Irrigation Water Requirement ◽  
Requirement Model

CLIMATE CHANGE IMPACT ON IRRIGATION WATER REQUIREMENT IN BARITO KUALA SOUTH KALIMANTAN INDONESIA

2019 ◽  
Author(s):  
MAYA AMALIA ACHYADI ◽  
KOICHIRO OHGUSHI ◽  
TOSHIHIRO MORITA ◽  
SU WAI THIN ◽  
WATARU KAWAHARA
Keyword(s):  
Climate Change ◽  
Irrigation Water ◽  
Climate Change Impact ◽  
Water Requirement ◽  
Irrigation Water Requirement ◽  
Change Impact
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