{"created":"2023-06-19T11:43:11.662866+00:00","id":12639,"links":{},"metadata":{"_buckets":{"deposit":"9bd051b0-32e5-48ba-b0ed-927737c882c0"},"_deposit":{"created_by":16,"id":"12639","owners":[16],"pid":{"revision_id":0,"type":"depid","value":"12639"},"status":"published"},"_oai":{"id":"oai:mie-u.repo.nii.ac.jp:00012639","sets":["420:686:705:920"]},"author_link":[],"item_7_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2019-03-25","bibliographicIssueDateType":"Issued"}}]},"item_7_date_granted_59":{"attribute_name":"学位授与年月日","attribute_value_mlt":[{"subitem_dategranted":"2019-03-25"}]},"item_7_degree_grantor_57":{"attribute_name":"学位授与機関","attribute_value_mlt":[{"subitem_degreegrantor":[{"subitem_degreegrantor_name":"三重大学"}],"subitem_degreegrantor_identifier":[{"subitem_degreegrantor_identifier_name":"14101","subitem_degreegrantor_identifier_scheme":"kakenhi"}]}]},"item_7_degree_name_56":{"attribute_name":"学位名","attribute_value_mlt":[{"subitem_degreename":"博士(学術)"}]},"item_7_description_14":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_7_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":" Reference evapotranspiration (ET0) is the main component of the irrigation water depth, which can be either measured directly or calculated using theoretical models. However, to achieve high efficiency in irrigation water depth in a semi-arid environment, information is limited on reliable estimates of ET0.\n Many different models have been developed for calculating ET0 based on their daily performances under the given climatic conditions in the world. The United Nations Food and Agriculture Organization (FAO) proposed a model for estimating the standard ET0, known as the Penman-Monteith model (FAO-56PM). The accuracy of the FAO-56PM model is sufficiently high to be recommended as the sole method for calculating ET0 in the cases where the necessary data are available.\n In this study, the FAO-56PM model was selected as the base model for examining in location where is exposed to relatively strong windy semi-arid conditions i.e. Afghanistan, especially with alternative data. The second part of this study focuses on the error estimation using error propagation approach. Furthermore, the effective distance for sharing the climatic data relating to ET0 was proposed in the cases when some data are missing.\n The results from the analysis confirmed that, the FAO-56PM model was the best model among the six well-known models in the investigated semi-arid areas in Afghanistan, however, its accuracy decreased in the high rates (>10 mm d-1). A serious limitation to this models is high meteorological data demand, thereby limiting its utility in data-sparse areas. Some alternative procedures have been proposed by FAO to overcome with missing data challenges, however, the alternative procedures to compensate the missing data of relative humidity and wind speed were found erroneous in those semi-arid places that were exposed to a strong wind speed condition. To overcome this problem, this study suggested an effective distance which is the upper limit of distance for data sharing between the stations. This is the distance within that range sharing data leads smaller error than that of using the FAO’s alternative procedures for obtaining the alternative data. From the approximated semivariograms model’s equation and the error theory, the effective distance could be established along the investigated distance at which the standard error was smaller than the alternative error resulted from the alternative data. This was the case corresponding to the data of solar radiation and actual vapor pressure. There was no effective distance established in the case of wind data.\n To confirm the validity of ET0 when calculated with alternative data in a certain area, root mean square error (RMSE) is needed to be calculated. However, RMSE does not explain the source of error in a model equation. In this study, the error propagation approach was used to estimate RMSE and to quantify the source of error. It was found that the error in the ET0 estimation is not only related to the alternative data, while related to the combination of the variables in a model equation as well. This property is very useful when improving meteorological data obtained using alternative proposals or when improving the FAO-56PM formula. These two improvements correspond to the two components that constitute the theoretical expression of error propagation.\n","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_7_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"本文/Graduate School of Bioresources, Mie University","subitem_description_type":"Other"},{"subitem_description":"107p","subitem_description_type":"Other"}]},"item_7_dissertation_number_60":{"attribute_name":"学位授与番号","attribute_value_mlt":[{"subitem_dissertationnumber":"甲学術第1961号"}]},"item_7_full_name_2":{"attribute_name":"著者（ヨミ）","attribute_value_mlt":[{"names":[{"name":"ガンジ, ホマユーン","nameLang":"ja-Kana"}]}]},"item_7_publisher_30":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"三重大学"}]},"item_7_text_31":{"attribute_name":"出版者（ヨミ）","attribute_value_mlt":[{"subitem_text_value":"ミエダイガク"}]},"item_7_text_65":{"attribute_name":"資源タイプ（三重大）","attribute_value_mlt":[{"subitem_text_value":"Doctoral Dissertation / 博士論文"}]},"item_7_version_type_15":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"GANJI, HOMAYOON","creatorNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-07-09"}],"displaytype":"detail","filename":"2018DB0306.pdf","filesize":[{"value":"2.4 MB"}],"format":"application/pdf","mimetype":"application/pdf","url":{"label":"2018DB0306","objectType":"fulltext","url":"https://mie-u.repo.nii.ac.jp/record/12639/files/2018DB0306.pdf"},"version_id":"4d5716b6-6d95-4c57-b1e6-877e0197f000"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"doctoral thesis","resourceuri":"http://purl.org/coar/resource_type/c_db06"}]},"item_title":"Using the Error Propagation Approach and Effective Distance Relating to Reference Evapotranspiration Considering Alternative Data","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Using the Error Propagation Approach and Effective Distance Relating to Reference Evapotranspiration Considering Alternative Data","subitem_title_language":"en"}]},"item_type_id":"7","owner":"16","path":["920"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2019-07-09"},"publish_date":"2019-07-09","publish_status":"0","recid":"12639","relation_version_is_last":true,"title":["Using the Error Propagation Approach and Effective Distance Relating to Reference Evapotranspiration Considering Alternative Data"],"weko_creator_id":"16","weko_shared_id":-1},"updated":"2023-12-01T06:49:02.851392+00:00"}