iVOD / 164951

Field Value
IVOD_ID 164951
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164951
日期 2025-11-03
會議資料.會議代碼 委員會-11-4-23-5
會議資料.會議代碼:str 第11屆第4會期交通委員會第5次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 5
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第4會期交通委員會第5次全體委員會議
影片種類 Clip
開始時間 2025-11-03T09:55:46+08:00
結束時間 2025-11-03T10:06:51+08:00
影片長度 00:11:05
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/64fc785e736c17e954e5946ad8053316ae8e6000a78732438472f51db95f9227340600c8c0d0f7405ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 蔡其昌
委員發言時間 09:55:46 - 10:06:51
會議時間 2025-11-03T09:00:00+08:00
會議名稱 立法院第11屆第4會期交通委員會第5次全體委員會議(事由:審查委員蔡其昌等18人及委員李昆澤等20人分別擬具「氣象法部分條文修正草案」案。 【本日會議僅進行詢答】【11月3日及5日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 4.84034375
transcript.pyannote[0].end 10.03784375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 10.03784375
transcript.pyannote[1].end 10.24034375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 10.24034375
transcript.pyannote[2].end 10.49346875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 14.81346875
transcript.pyannote[3].end 14.93159375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 14.93159375
transcript.pyannote[4].end 15.25221875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 15.25221875
transcript.pyannote[5].end 15.30284375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 15.33659375
transcript.pyannote[6].end 15.43784375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 15.87659375
transcript.pyannote[7].end 16.39971875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 16.80471875
transcript.pyannote[8].end 17.41221875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 18.39096875
transcript.pyannote[9].end 22.96409375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 23.35221875
transcript.pyannote[10].end 23.89221875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 24.61784375
transcript.pyannote[11].end 29.66346875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 29.88284375
transcript.pyannote[12].end 31.21596875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 30.06846875
transcript.pyannote[13].end 31.89096875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 31.87409375
transcript.pyannote[14].end 32.58284375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 32.78534375
transcript.pyannote[15].end 36.51471875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 38.05034375
transcript.pyannote[16].end 47.21346875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 44.95221875
transcript.pyannote[17].end 45.01971875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 47.58471875
transcript.pyannote[18].end 47.95596875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 48.88409375
transcript.pyannote[19].end 55.58346875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 56.22471875
transcript.pyannote[20].end 61.84409375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 62.36721875
transcript.pyannote[21].end 65.28659375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 65.79284375
transcript.pyannote[22].end 67.81784375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 69.69096875
transcript.pyannote[23].end 73.97721875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 74.60159375
transcript.pyannote[24].end 80.03534375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 80.38971875
transcript.pyannote[25].end 81.46971875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 81.99284375
transcript.pyannote[26].end 87.20721875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 87.49409375
transcript.pyannote[27].end 88.96221875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 89.65409375
transcript.pyannote[28].end 91.51034375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 91.64534375
transcript.pyannote[29].end 93.85596875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 94.05846875
transcript.pyannote[30].end 99.45846875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 99.91409375
transcript.pyannote[31].end 106.83284375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 107.00159375
transcript.pyannote[32].end 111.64221875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 112.31721875
transcript.pyannote[33].end 113.90346875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 114.49409375
transcript.pyannote[34].end 125.22659375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 125.46284375
transcript.pyannote[35].end 128.92221875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 129.25971875
transcript.pyannote[36].end 130.69409375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 130.96409375
transcript.pyannote[37].end 146.80971875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 147.77159375
transcript.pyannote[38].end 149.08784375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 149.17221875
transcript.pyannote[39].end 158.97659375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 159.16221875
transcript.pyannote[40].end 161.00159375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 161.77784375
transcript.pyannote[41].end 163.04346875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 163.48221875
transcript.pyannote[42].end 174.31596875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 175.19346875
transcript.pyannote[43].end 176.96534375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 177.20159375
transcript.pyannote[44].end 180.96471875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 181.67346875
transcript.pyannote[45].end 183.64784375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 183.88409375
transcript.pyannote[46].end 186.61784375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 186.82034375
transcript.pyannote[47].end 190.06034375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 191.25846875
transcript.pyannote[48].end 194.73471875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 191.29221875
transcript.pyannote[49].end 192.06846875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 194.90346875
transcript.pyannote[50].end 196.40534375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 198.00846875
transcript.pyannote[51].end 198.61596875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 198.76784375
transcript.pyannote[52].end 200.97846875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 202.86846875
transcript.pyannote[53].end 203.00346875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 206.31096875
transcript.pyannote[54].end 209.24721875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 207.89721875
transcript.pyannote[55].end 215.60909375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 210.76596875
transcript.pyannote[56].end 211.17096875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 212.53784375
transcript.pyannote[57].end 213.56721875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 216.04784375
transcript.pyannote[58].end 224.97471875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 225.63284375
transcript.pyannote[59].end 230.77971875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 231.38721875
transcript.pyannote[60].end 233.81721875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 234.10409375
transcript.pyannote[61].end 236.88846875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 237.20909375
transcript.pyannote[62].end 240.56721875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 240.73596875
transcript.pyannote[63].end 243.30096875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 243.92534375
transcript.pyannote[64].end 244.38096875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 245.02221875
transcript.pyannote[65].end 246.37221875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 246.67596875
transcript.pyannote[66].end 250.25346875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 250.43909375
transcript.pyannote[67].end 253.49346875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 253.79721875
transcript.pyannote[68].end 268.90034375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 269.86221875
transcript.pyannote[69].end 270.52034375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 271.70159375
transcript.pyannote[70].end 278.29971875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 279.29534375
transcript.pyannote[71].end 279.68346875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 280.17284375
transcript.pyannote[72].end 280.91534375
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 281.48909375
transcript.pyannote[73].end 293.72346875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 293.94284375
transcript.pyannote[74].end 298.21221875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 299.05596875
transcript.pyannote[75].end 301.63784375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 302.41409375
transcript.pyannote[76].end 303.56159375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 304.79346875
transcript.pyannote[77].end 305.70471875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 306.24471875
transcript.pyannote[78].end 309.46784375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 309.67034375
transcript.pyannote[79].end 311.32409375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 312.35346875
transcript.pyannote[80].end 318.73221875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 319.69409375
transcript.pyannote[81].end 326.57909375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 326.73096875
transcript.pyannote[82].end 331.74284375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 330.64596875
transcript.pyannote[83].end 331.40534375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 331.74284375
transcript.pyannote[84].end 331.75971875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 331.75971875
transcript.pyannote[85].end 338.67846875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 336.09659375
transcript.pyannote[86].end 341.98596875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 342.39096875
transcript.pyannote[87].end 343.50471875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 343.60596875
transcript.pyannote[88].end 343.65659375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 343.65659375
transcript.pyannote[89].end 344.70284375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 343.75784375
transcript.pyannote[90].end 346.37346875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 346.50846875
transcript.pyannote[91].end 348.58409375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 349.05659375
transcript.pyannote[92].end 357.61221875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 358.00034375
transcript.pyannote[93].end 360.22784375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 360.22784375
transcript.pyannote[94].end 376.32659375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 360.24471875
transcript.pyannote[95].end 360.83534375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 368.73284375
transcript.pyannote[96].end 369.81284375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 376.32659375
transcript.pyannote[97].end 378.52034375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 376.71471875
transcript.pyannote[98].end 377.06909375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 378.28409375
transcript.pyannote[99].end 381.42284375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 378.62159375
transcript.pyannote[100].end 378.67221875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 381.60846875
transcript.pyannote[101].end 381.79409375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 381.79409375
transcript.pyannote[102].end 381.84471875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 381.84471875
transcript.pyannote[103].end 381.99659375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 382.90784375
transcript.pyannote[104].end 383.44784375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 384.00471875
transcript.pyannote[105].end 385.65846875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 385.94534375
transcript.pyannote[106].end 398.87159375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 399.73221875
transcript.pyannote[107].end 401.84159375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 402.07784375
transcript.pyannote[108].end 405.04784375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 405.70596875
transcript.pyannote[109].end 410.17784375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 410.51534375
transcript.pyannote[110].end 429.85409375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 415.47659375
transcript.pyannote[111].end 415.51034375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 419.64471875
transcript.pyannote[112].end 419.89784375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 429.95534375
transcript.pyannote[113].end 453.27659375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 450.91409375
transcript.pyannote[114].end 457.69784375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 456.75284375
transcript.pyannote[115].end 456.97221875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 457.69784375
transcript.pyannote[116].end 458.00159375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 458.00159375
transcript.pyannote[117].end 458.50784375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 459.14909375
transcript.pyannote[118].end 460.90409375
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 461.10659375
transcript.pyannote[119].end 466.81034375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 467.35034375
transcript.pyannote[120].end 469.42596875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 469.57784375
transcript.pyannote[121].end 511.44471875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 511.95096875
transcript.pyannote[122].end 513.85784375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 513.33471875
transcript.pyannote[123].end 513.80721875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 514.24596875
transcript.pyannote[124].end 517.58721875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 518.19471875
transcript.pyannote[125].end 524.06721875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 524.20221875
transcript.pyannote[126].end 533.12909375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 533.61846875
transcript.pyannote[127].end 537.01034375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 537.26346875
transcript.pyannote[128].end 539.20409375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 539.82846875
transcript.pyannote[129].end 549.00846875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 549.36284375
transcript.pyannote[130].end 558.28971875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 558.69471875
transcript.pyannote[131].end 559.94346875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 560.44971875
transcript.pyannote[132].end 565.32659375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 565.64721875
transcript.pyannote[133].end 565.66409375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 565.66409375
transcript.pyannote[134].end 566.33909375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 565.68096875
transcript.pyannote[135].end 567.23346875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 567.23346875
transcript.pyannote[136].end 581.17221875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 581.17221875
transcript.pyannote[137].end 581.27346875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 581.27346875
transcript.pyannote[138].end 588.63096875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 586.36971875
transcript.pyannote[139].end 586.60596875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 587.21346875
transcript.pyannote[140].end 594.65534375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 595.02659375
transcript.pyannote[141].end 605.67471875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 606.18096875
transcript.pyannote[142].end 611.93534375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 610.83846875
transcript.pyannote[143].end 615.36096875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 613.35284375
transcript.pyannote[144].end 614.12909375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 615.85034375
transcript.pyannote[145].end 617.01471875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 617.36909375
transcript.pyannote[146].end 618.78659375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 619.54596875
transcript.pyannote[147].end 624.49034375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 624.82784375
transcript.pyannote[148].end 633.43409375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 633.78846875
transcript.pyannote[149].end 637.63596875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 638.27721875
transcript.pyannote[150].end 643.13721875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 643.50846875
transcript.pyannote[151].end 643.82909375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 644.62221875
transcript.pyannote[152].end 651.33846875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 651.55784375
transcript.pyannote[153].end 652.84034375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 653.16096875
transcript.pyannote[154].end 661.05846875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 660.85596875
transcript.pyannote[155].end 662.56034375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 662.96534375
transcript.pyannote[156].end 665.58096875
transcript.whisperx[0].start 5.416
transcript.whisperx[0].end 23.656
transcript.whisperx[0].text 謝謝主席請次長跟署長請次長跟署長早次長早次長那個氣象法行政院的版本現在進度到哪裡
transcript.whisperx[1].start 25.533
transcript.whisperx[1].end 47.665
transcript.whisperx[1].text 目前氣象署還在研議因為上次報到部裡有一些修正意見所以還沒到院嗎還沒有還沒有好那這個速度有沒有抓一個預期的時間報告預計在11月能夠預告預告預計預告兩個月收集意見以後修正再報部好
transcript.whisperx[2].start 49.399
transcript.whisperx[2].end 67.732
transcript.whisperx[2].text 謝謝市長我想速度啦這個大家因為氣象局升格氣象署那其實相關的業務範圍到底未來的氣象署該怎麼去做事這個跟氣象法的修正會有很大的關聯那個署長上任多久了
transcript.whisperx[3].start 70.387
transcript.whisperx[3].end 87.955
transcript.whisperx[3].text 1月到現在所以大概是10個月左右有一些問題其實像剛剛盧明哲委問到海嵐的問題那個流標已經太多次了所以你上來之後一定要積極解決這個問題
transcript.whisperx[4].start 89.687
transcript.whisperx[4].end 112.427
transcript.whisperx[4].text 因為標不出去硬在那裡湊次數這是一件既無聊又讓人家看出這個政府不知道在幹嘛就已經流標12次你們也知道原因譬如說物價上漲等等的問題你們也曾經流標12次也修改了修改完之後也沒有人來標那這個不應該再
transcript.whisperx[5].start 114.891
transcript.whisperx[5].end 142.899
transcript.whisperx[5].text 流標十三次十四次都是相同的問題 署長你懂我的意思嗎會做的我們就做 不夠錢我們就要說明不要每天去做一定的流標然後呢 給人家一直累積那個次數十二次 我先說這個我很怕接下來會有十三 然後不久就十四好不好 這個一定要看跟部裡面跟院裡面好好的來討論重要的事情你一定要做的
transcript.whisperx[6].start 143.399
transcript.whisperx[6].end 159.358
transcript.whisperx[6].text 那你就讓他做到他可以標出去嘛好不好那那個另外啊像你先上一段時間譬如說剛剛有人有委員有去問到那個假帳號的事啊其實脆不是最嚴重的你們的IG啊那個2021年
transcript.whisperx[7].start 162.42
transcript.whisperx[7].end 189.91
transcript.whisperx[7].text 這個帳號就開了用氣象 氣象署相關的名稱啊 Logo啊這個已經2021年的7月這個帳號就成立 就成立了所以呢 到今天為止這個我看這個還有2530位粉絲在上面那這個到底為什麼不處理啦就是到底是你們的問題還是給速發部速發部對IG一點辦法都沒有
transcript.whisperx[8].start 191.58
transcript.whisperx[8].end 195.982
transcript.whisperx[8].text 蘇長你知道嗎 官委員報告我們氣象署有IG自己的帳號對 這個是你們的嗎TRAP是IG是嗎IG
transcript.whisperx[9].start 206.528
transcript.whisperx[9].end 230.674
transcript.whisperx[9].text 氣象署在IG有賬號你把所有的假帳號都清一遍好不好不管它在哪一個平台啦好 那回到這個修法的重點我想因為11月大概院版才會可能送到立法院來審查那我對氣象局 深隔氣象署我是期待滿深的
transcript.whisperx[10].start 231.451
transcript.whisperx[10].end 242.129
transcript.whisperx[10].text 因為這個氣象我們的準確度應該相對比起10年前20年前應該準確度高很多以我個人的經驗因為我們
transcript.whisperx[11].start 245.14
transcript.whisperx[11].end 270.416
transcript.whisperx[11].text 只幫要打球所以我們對於氣象報告的需求其實很大我們對於你的準確度更重要所以我們的聯盟的同仁跟我們署裡面都有密切的聯繫包括我們這一次台灣大賽的延賽也是依照氣象資料抓出在桃園某一天不會下雨
transcript.whisperx[12].start 271.838
transcript.whisperx[12].end 297.967
transcript.whisperx[12].text 所以我們就一次的一次性的沒有每天延賽一次性的把它移到那一天好那這個所以你看對影響是一個職業運動的比賽但它影響著可能數萬個球迷他到底要不要前往或者他的關賽的這個體驗會不會受到影響所以它影響很大
transcript.whisperx[13].start 299.164
transcript.whisperx[13].end 318.679
transcript.whisperx[13].text 署長 我們現在的氣象資料我們的預測譬如說對雨量的預測準確度你覺得可以預測多少個時間譬如說12小時24小時內預測是你覺得準確度是很高很高的
transcript.whisperx[14].start 319.761
transcript.whisperx[14].end 348.452
transcript.whisperx[14].text 如果說以定量來看的話氣象署現在所預報出去的定量預報大概是未來48小時之內都會準確準確就不敢說百分之百啦大概多少99沒有 沒有那麼高百分之70的準確度應該有所謂的下雨跟定量的部分48小時大概70那如果24小時呢24小時會更高對 大概多少75到80左右那多少那12個小時呢
transcript.whisperx[15].start 349.484
transcript.whisperx[15].end 356.694
transcript.whisperx[15].text 12個小時的準確度如果說12小時來看的話準確度一定會更高可能到七八十 八十應該有
transcript.whisperx[16].start 358.072
transcript.whisperx[16].end 381.736
transcript.whisperx[16].text 那未來一個小時未來一個小時的準確度如果說從外延的角度來看的話準確度大概也可以到達如果會不會下雨這樣子會不會下雨準確度可能可以到達八九十有但是那個量就不見得我知道我知道雨量要下多少不見得但是如果說用外延的話準確度的確是很高好 署長
transcript.whisperx[17].start 384.328
transcript.whisperx[17].end 409.687
transcript.whisperx[17].text 這個氣象的資料我們判斷裡面氣象署的所有的設備就我們判斷從48小時24小時12小時我們對於雨量的判斷是不是這些儀器我們氣象署本身就可以具備還是我們還需要去譬如說什麼太空中心啊國外的需要買這些相關的訊息嗎
transcript.whisperx[18].start 410.82
transcript.whisperx[18].end 434.914
transcript.whisperx[18].text 光雨量部分的話一定是在氣象署裡面有兩個系統可以觀測一個是地面的觀測地面觀測是天上下下來的雨那地面觀測站現在全台灣的雨量站大概1300多個雨量站所以是相當的密的但是每一個雨量站跟每一個雨量站的距離可能還有5公里不等的這個距離這些距離的地方沒辦法偵測到我們可以用氣象的雷達
transcript.whisperx[19].start 435.874
transcript.whisperx[19].end 458.185
transcript.whisperx[19].text 來去做這些偵測那目前氣象署呢有四顆長程雷達有三顆降雨雷達目前這些都會是同步的在運作所以在判斷會不會下雨的情境來看的話要結合地面的雨漿站跟我們的雷達來對那這個基本上我們現在預報就是靠地面的氣象站跟雷達對不對現在目前是的那
transcript.whisperx[20].start 459.225
transcript.whisperx[20].end 469.22
transcript.whisperx[20].text 如果要讓他更準確全世界的這個氣象的這些觀測的器材或者方法裡面氣象署有沒有更精進的作為
transcript.whisperx[21].start 470.239
transcript.whisperx[21].end 498.07
transcript.whisperx[21].text 我們現在剛剛在講的這些雷達基本上都是在都會區的雷達那個觀測的距離是比較短的可用的資料可能是150公里以內可是我們對於山區的降雨是相當的沒有太多的技術在裡面第一個 山上的雨量占就比較少像這一次在馬太安溪的上游根本就沒有雨量在那裡所以這一部分在高山這些地形比較特殊的地方的降雨我們將來是必須要去克服的
transcript.whisperx[22].start 498.61
transcript.whisperx[22].end 513.665
transcript.whisperx[22].text 那這些克服有不同的情境的克服我們現在的想法就是有一些移動性的雷達在比較高脆弱區比較高需要這些氣象資料的時候我們可以透過這些移動式的雷達去克服我們目前的雷達所觀測不足的這些死角
transcript.whisperx[23].start 514.366
transcript.whisperx[23].end 538.186
transcript.whisperx[23].text 署長這些就是說整個科技進步它氣象預報的準確度其實都跟在給這個政府或者企業做決策的時候你越準它的決策就效率就會越高包括民眾最在乎的包括颱風架等等那這些都是變成現在都是各縣市首長在
transcript.whisperx[24].start 539.867
transcript.whisperx[24].end 564.818
transcript.whisperx[24].text 很重要他要再決策到底要怎麼來做很重要的依據所以這方面的精進我想如果署裡面還有機會應該可以再來精進那最後一個小問題就是說我們目前跟氣象我看一下我們跟了氣象相關的公司來合作應該大概十幾二十家有那這些要不要收費目前我們的創新試用方案裡面是沒有但是要回饋
transcript.whisperx[25].start 566.338
transcript.whisperx[25].end 594.321
transcript.whisperx[25].text 他回饋你什麼他用了我們的資料第一個我們資料不見得那麼準確他用了這些資料的時候有誤差存在在裡面這誤差有沒有一些校正的機會他必須回饋給我們好第二個他用這些資料的一些使用度的情況譬如說他背後有客戶嘛對他跟客戶的使用度的一些意見要調查回來讓我們改善我們氣象署提供的服務的這一些長遠來看署長長遠來看你規劃未來跟民間的氣象公司合作你覺得要不要收費
transcript.whisperx[26].start 595.923
transcript.whisperx[26].end 618.368
transcript.whisperx[26].text 政府本身的基本的投資這一部分是政府的投資因為牽扯到很多房災很多這些都是基本的投資至於說資料提供給氣象業者再去營利的這一部分有關必要的這一些公本的費用還是必須要由對方本席建議還是應該要好好的研議是…你看你們氣象局要投資設備人力又不足
transcript.whisperx[27].start 619.602
transcript.whisperx[27].end 642.231
transcript.whisperx[27].text 那所以呢你要想辦法因為氣象開始變成產業了他已經不再是早期我們氣象局的概念裡面那基礎資料民眾大家共享然後這是政府提供應該要的可是進階的數據甚至氣象公司運用在可能很多的決策上面他需要去做這些很精密數據的參考那
transcript.whisperx[28].start 644.793
transcript.whisperx[28].end 664.709
transcript.whisperx[28].text 氣象署如果能多一些營收想辦法有一個機制怎麼去法制化怎麼有一個機制我覺得對你們的量能包括研究量能包括人員不足的問題其實都可以在裡面找到一些答案這樣好不好因為時間的關係好謝謝委員謝謝好謝謝蔡提昌委員發言