Development and analysis of the Soil Water Infiltration Global database

In this paper, we present and analyze a novel global database of soil infiltration measurements, the Soil Water Infiltration Global (SWIG) database. In total, 5023 infiltration curves were collected across all continents in the SWIG database. These data were either provided and quality checked by the scientists who performed the experiments or they were digitized from published articles. Data from 54 different countries were included in the database with major contributions from Iran, China, and the USA. In addition to its extensive geographical coverage, the collected infiltration curves cover research from 1976 to late 2017. Basic information on measurement location and method, soil properties, and land use was gathered along with the infiltration data, making the database valuable for the development of pedotransfer functions (PTFs) for estimating soil hydraulic properties, for the evaluation of infiltration measurement methods, and for developing and validating infiltration models. Soil textural information (clay, silt, and sand content) is available for 3842 out of 5023 infiltration measurements ( ∼ 76%) covering nearly all soil USDA textural classes except for the sandy clay and silt classes. Information on land use is available for 76% of the experimental sites with agricultural land use as the dominant type ( ∼ 40%). We are convinced that the SWIG database will allow for a better parameterization of the infiltration process in land surface models and for testing infiltration models. All collected data and related soil characteristics are provided online in *.xlsx and *.csv formats for reference, and we add a disclaimer that the database is for public domain use only and can be copied freely by referencing it. Supplementary data are available at https://doi.org/10.1594/PANGAEA.885492 (Rahmati et al., 2018). Data quality assessment is strongly advised prior to any use of this database. Finally, we would like to encourage scientists to extend and update the SWIG database by uploading new data to it

Study on Application of Soil Infiltration and Evapotranspiration Models for Estimating Field Water Consumption in a Developing Country

近畿大学Kindai University博士（農学）主査：松野裕 教授　　学内授与番号：農第260号 Shutaro Shiraki, Aung Kyaw Thu, Yutaka Matsuno, Yoshiyuki Shinogi "Evaluation of infiltration models and field-saturated hydraulic conductivity in situ infiltration tests during the dry season." Paddy and Water Environment, volume 17, pages619–632 (2019) https://doi.org/10.1007/s10333-018-00688-w 掲載 白木秀太郎「ボーエン比フラックス算出値の異常値判定」 農業農村工学会論文集　2019, IDRE Journal, No. 308 (87 巻 1 号), pp. Ⅳ_3-Ⅳ_4 https://doi.org/10.11408/jsidre.87.IV_3 掲載 Shutaro Shiraki, Aung Kyaw Thu, Yutaka Matsuno, Yoshiyuki Shinogi "Simple and Two-Level Hierarchical Bayesian Approaches for Parameter Estimation with One- and Two-Layer Evapotranspiration Models of Crop Fields." Water 2021, 13(24), 3607 https://doi.org/10.3390/w13243607 掲載 Shutaro Shiraki, Thin Mar Cho, Yutaka Matsuno, Yoshiyuki Shinogi "Evapotranspiration and Crop Coefficient of Ratoon Rice Crop Determined by Water Depth Observation and Bayesian Inference." Agronomy 2021, 11(8), 1573; https://doi.org/10.3390/agronomy11081573 　掲載 Shutaro Shiraki, Thin Mar Cho, Khin Mar Htay, Kazumi Yamaoka "Effects of the Double-Cutting Method for Ratooning Rice in the SALIBU System under Different Soil Moisture Conditions on Grain Yield and Regeneration Rate." Agronomy 2020, 10(11), 1621 https://doi.org/10.3390/agronomy10111621 掲載doctoral thesi

Evapotranspiration and Crop Coefficient of Ratoon Rice Crop Determined by Water Depth Observation and Bayesian Inference

Actual crop evapotranspiration (ET) and crop coefficient (Kc) of ratoon rice crop, which are necessary for irrigation planning, have been hardly reported. ET can be directly measured by lysimeter and eddy covariance but it is expensive, so it remains difficult to determine ET, especially in developing countries. The focus of this study was to evaluate the ET and Kc of ratoon cropping in a tropical region of Myanmar using a simplified method. Our method combined the manual observation of water depth in concrete paddy tanks and the ET model estimation using Bayesian parameter inference. The ET and Kc could be determined using this method with an incomplete observation dataset. The total ET of ratoon was 60–70% less than that of the main crop, but this difference was mainly attributed to climate conditions in each cultivation. The Kc regression curve between transplanted rice and ratoon crops was different because of the tillering traits. The results suggest that irrigation scheduling of ratoon cropping in the initial growth stage should take high crop water requirements into account. In addition, the productivity of ratoon crop is equivalent to transplanted rice, which was determined for cultivation in experiment conditions of small concrete tanks. Therefore, further study on ratoon in Myanmar is necessary for clarifying the viability of ratoon cropping

Study on Application of Soil Infiltration and Evapotranspiration Models for Estimating Field Water Consumption in a Developing Country

主査：松野裕 教授　　学内授与番号：農第260号 Shutaro Shiraki, Aung Kyaw Thu, Yutaka Matsuno, Yoshiyuki Shinogi "Evaluation of infiltration models and field-saturated hydraulic conductivity in situ infiltration tests during the dry season." Paddy and Water Environment, volume 17, pages619–632 (2019) https://doi.org/10.1007/s10333-018-00688-w 掲載 白木秀太郎「ボーエン比フラックス算出値の異常値判定」 農業農村工学会論文集　2019, IDRE Journal, No. 308 (87 巻 1 号), pp. Ⅳ_3-Ⅳ_4 https://doi.org/10.11408/jsidre.87.IV_3 掲載 Shutaro Shiraki, Aung Kyaw Thu, Yutaka Matsuno, Yoshiyuki Shinogi "Simple and Two-Level Hierarchical Bayesian Approaches for Parameter Estimation with One- and Two-Layer Evapotranspiration Models of Crop Fields." Water 2021, 13(24), 3607 https://doi.org/10.3390/w13243607 掲載 Shutaro Shiraki, Thin Mar Cho, Yutaka Matsuno, Yoshiyuki Shinogi "Evapotranspiration and Crop Coefficient of Ratoon Rice Crop Determined by Water Depth Observation and Bayesian Inference." Agronomy 2021, 11(8), 1573; https://doi.org/10.3390/agronomy11081573 　掲載 Shutaro Shiraki, Thin Mar Cho, Khin Mar Htay, Kazumi Yamaoka "Effects of the Double-Cutting Method for Ratooning Rice in the SALIBU System under Different Soil Moisture Conditions on Grain Yield and Regeneration Rate." Agronomy 2020, 10(11), 1621 https://doi.org/10.3390/agronomy10111621 掲

Development and analysis of the Soil Water Infiltration Global database

© Author(s) 2018. In this paper, we present and analyze a novel global database of soil infiltration measurements, the Soil Water Infiltration Global (SWIG) database. In total, 5023 infiltration curves were collected across all continents in the SWIG database. These data were either provided and quality checked by the scientists who performed the experiments or they were digitized from published articles. Data from 54 different countries were included in the database with major contributions from Iran, China, and the USA. In addition to its extensive geographical coverage, the collected infiltration curves cover research from 1976 to late 2017. Basic information on measurement location and method, soil properties, and land use was gathered along with the infiltration data, making the database valuable for the development of pedotransfer functions (PTFs) for estimating soil hydraulic properties, for the evaluation of infiltration measurement methods, and for developing and validating infiltration models. Soil textural information (clay, silt, and sand content) is available for 3842 out of 5023 infiltration measurements (∼76%) covering nearly all soil USDA textural classes except for the sandy clay and silt classes. Information on land use is available for 76ĝ€% of the experimental sites with agricultural land use as the dominant type (∼40%). We are convinced that the SWIG database will allow for a better parameterization of the infiltration process in land surface models and for testing infiltration models. All collected data and related soil characteristics are provided online in ∗.xlsx and ∗.csv formats for reference, and we add a disclaimer that the database is for public domain use only and can be copied freely by referencing it. Supplementary data are available at https://doi.org/10.1594/PANGAEA.885492 (Rahmati et al., 2018). Data quality assessment is strongly advised prior to any use of this database. Finally, we would like to encourage scientists to extend and update the SWIG database by uploading new data to it.status: publishe