Development of an Approach for Predicting Spatio-Temporal Distribution of Soil Moisture and Providing Sufficient Irrigation Water in Orchard Areas

Seunghun Shin; Geunhyung Park; Heetae Kim; Minyoung Kim; Sangbong Lee; Yonghun Choi; Jonggun Kim

doi:10.22698/jales.20230001

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2023 Vol.35, Issue 1 Next Page

Research Article

Development of an Approach for Predicting Spatio-Temporal Distribution of Soil Moisture and Providing Sufficient Irrigation Water in Orchard Areas 과수지역 토양수분 시공간 분포 예측 및 적정 관개수량 산정기술개발

31 March 2023. pp. 1-13

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Abstract

Moisture stress in the soil is one of the most important factors influencing plant growth. Soil moisture stress refers to a physiological response from excess moisture, such as the loss of more moisture than the moisture absorbed from the soil due to transpiration. Excessive soil moisture also causes considerable stress due to lack of air in the soil. To prevent moisture stress in the soil, it is important to estimate the appropriate amount of irrigation through spatial distribution prediction of soil moisture. At present, irrigation technology for field crop cultivation is being developed based on soil moisture and meteorological information (crop evapotranspiration). Therefore, in this study, we developed spatiotemporal distribution prediction technology by using soil moisture modeling techniques. We also developed a technique for estimating water stress and irrigation amount in open field crop areas by simulating soil moisture in the root zone. For the study area, an orchard located in Saam-ri, Chuncheon-si, Gangwon-do was selected. Soil moisture monitoring was performed according to the spatial distribution of soil moisture and soil depth. The soil moisture data was used as data for estimating and verifying the moisture simulation parameters of the APEX model and for comparing the predictions of root zone soil moisture at the monitoring site. As a result of this study, the spatial area vulnerable to drought within the study area was estimated, and the appropriate amount of irrigation was estimated accordingly. In line with the findings of this study, the spatial distribution of moisture can be predicted using a soil moisture simulation model.

Keywords

Irrigation amount

Moisture stress

Precision agriculture

Soil moisture modeling

Soil moisture spatial distribution

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Information

Publisher :Agriculture and Life Sciences Research Institute, Kangwon National University
Publisher(Ko) :강원대학교 농업생명과학대학 농업생명과학연구원
Journal Title :Journal of Agricultural, Life and Environmental Sciences
Journal Title(Ko) :농업생명환경연구
Volume : 35
No :1
Pages :1-13
Received Date : 2023-01-19
Revised Date : 2023-01-25
Accepted Date : 2023-01-25
DOI :https://doi.org/10.22698/jales.20230001

Journal of Agricultural, Life and Environmental Sciences ISSN:2233-8322(Print) 2508-870X(Online) 농업생명환경연구

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