A Study of Intelligence Floods Early Warning Information System

碩士 === 華夏技術學院 === 資產與物業管理研究所 === 100 === Owing to the global climate changes in recent years, torrential rains always flood to cause serious disasters. For instance, 3,004.5 mm, 1,861 mm and 1,105,5mm rainfalls at Alishan, Chiayi (called as 88 Flood), Datong, Yilan and Manchou, Pingtong were caused...

Full description

Bibliographic Details
Main Authors: Cheng Kung-Hung, 鄭功宏
Other Authors: Dr. Chen Li-Ru
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/72911820471105978055
Description
Summary:碩士 === 華夏技術學院 === 資產與物業管理研究所 === 100 === Owing to the global climate changes in recent years, torrential rains always flood to cause serious disasters. For instance, 3,004.5 mm, 1,861 mm and 1,105,5mm rainfalls at Alishan, Chiayi (called as 88 Flood), Datong, Yilan and Manchou, Pingtong were caused by Typhoon Morakot, Magi and Nanmadol in 2009, 2010 and 2011; 610 Flood in 2012, followed by Typhoon Talim and Tembin, caused huge images. If such rainfall takes place in Taipei area, it will cause flood. Furthermore, there are a lot of high buildings in Taipei. The flood will cause the vehicles and electrical equipment on the basement as well as the public’s properties to seriously damage. Therefore, we study the installation of the Intelligence Early Warning System shortly before flooding, which automatically sends a warning message via mobile phone to tell owners and securities while the accumulated rainfalls and the ponding level reach the warning value, so that can immediately evacuate to reduce flood losses. The purpose of this study is to utilize the digital rain gauge and digital level gauge during the typhoon or torrential rain to monitor the rainfalls and the ponding depth of ground surface. With the warning rainfall from Disaster Prevention Information Website of Water Resources Agency, the Ministry of Economic Affairs and using the hydraulic analyses to investigate the characteristics of the regional drainage system, the warning rainfall and ponding level can be calculated. The Intelligence Early Warning System will automatically message owners and securities by PLC to acquire the data from the digital rainfall gauge and digital level gauge when reaching the warning value to evacuate immediately, so that can reduce property loss and avoid casualties. This study is to install the Intelligence Early Warning System at Chonghe as an example, follow the warning rainfall at the first and second grade from Disaster Prevention Information Website of Water Resources Agency, the Ministry of Economic Affairs, make use of reasonable formula to evaluate the flood flow for resident district and assume the community use two-year rainfall strength formula to design the drainage during the reconstruction from Construction and Planning Agency, Ministry of the Interior, to calculate the ponding depth caused by the warning flow corresponding to the warning rainfall at the first and second grade as the warning threshold under “normal drainage” and “completely no drainage”. This study tests the system when modeling the sand box and evaluates at Chonghe. Since rainfall is extended within one hour, the system will issue the second-grade warning when the ponding depth reaches 31.63 cm; when the ponding depth reaches 47.44 cm, the system will issue the first-grade warning. Since rainfall is extended within three hours, the system will issue the second-grade warning when the ponding depth reaches 63.25 cm; when the ponding depth reaches 86.97 cm, the system will issue the first-grade warning. Since rainfall is extended within six hours, the system will issue the second-grade warning when the ponding depth reaches 94.88 cm; when the ponding depth reaches 118.59 cm, the system will issue the first-grade warning. Since rainfall is extended within 12 hours, the system will issue the second-grade warning when the ponding depth reaches 126.50 cm; when the ponding depth reaches 158.13 cm, the system will issue the first-grade warning. Since rainfall is extended within 24 hours, the system will issue the second-grade warning when the ponding depth reaches 158.13 cm; when the ponding depth reaches 197.66 cm, the system will issue the first-grade warning. The Intelligence Early Warning System in this study not only monitors the rainfalls and the ponding depth immediately, but also automatically messages and proposes the early warning to evacuate so that can avoid property losses and make concrete contribution.