{"created":"2020-09-01T09:51:28.704798+00:00","id":3262,"links":{},"metadata":{"_buckets":{"deposit":"6bf8bbf8-8a2f-46b1-9e7a-4c3d66b308ea"},"_deposit":{"id":"3262","owners":[],"pid":{"revision_id":0,"type":"recid","value":"3262"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/3262","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Constructing with River Flood Prediction Models","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"With the incidence of severe weather andflooding on the increase around the world, there is aneed to improve flood forecasting and warning. Floodscause physical damage, loss of basic sanitation thatleads to disease, economic hardship due to rebuildingcosts and food shortages. By improving flood forecastsit becomes possible to take mitigating actions inadvance of the flood and hence avoid millions ofpounds worth of damage and even human fatalities.In this paper, a time series and Markov modelsfor river flood prediction are constructed. Thesemodels focus on the prediction of events and cancapture the fact that time flows forward. The outputwill be approximate and show that there is a closeagreement between the predicted and actual riverflooding amount. The system compares the results oftime series model and Markov model with the actualweather station results and also shows the best modelfor river flood prediction over Ayeyarwady River inMyanmar."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"flood"},{"interim":"prediction"},{"interim":"time series"},{"interim":"Markov Chain"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-07-03"}],"displaytype":"preview","filename":"2.Constructing with River Flood Prediction Models.pdf","filesize":[{"value":"256 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/3262/files/2.Constructing with River Flood Prediction Models.pdf"},"version_id":"c8c8ee8b-315f-41e3-ad7f-737665d9f44b"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Thirteenth International Conferences on Computer Applications(ICCA 2015)","subitem_pages":"","subitem_volume":""}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"","subitem_c_date":"","subitem_conference_title":"","subitem_part":"","subitem_place":"","subitem_session":"","subitem_website":""}]},"item_1583103211336":{"attribute_name":"Books/reports/chapters","attribute_value_mlt":[{"subitem_book_title":"","subitem_isbn":"","subitem_pages":"","subitem_place":"","subitem_publisher":""}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_awarding_university":"","subitem_supervisor(s)":[{"subitem_supervisor":""}]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"San, Thinn Htet Htet"},{"subitem_authors_fullname":"Khin, Mie Mie"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Article"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2015-02-05"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/103"},"item_title":"Constructing with River Flood Prediction Models","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-03","publish_status":"0","recid":"3262","relation_version_is_last":true,"title":["Constructing with River Flood Prediction Models"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T05:47:59.287669+00:00"}