iVOD / 164011

Field Value
IVOD_ID 164011
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164011
日期 2025-10-13
會議資料.會議代碼 委員會-11-4-15-3
會議資料.會議代碼:str 第11屆第4會期內政委員會第3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 3
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第4會期內政委員會第3次全體委員會議
影片種類 Clip
開始時間 2025-10-13T09:59:43+08:00
結束時間 2025-10-13T10:11:54+08:00
影片長度 00:12:11
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5d6d14916e595edc20647eb76a6bb0e7179f4a20aeac8eaf8b7b742ce6787900884be6fd1f80153f5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王美惠
委員發言時間 09:59:43 - 10:11:54
會議時間 2025-10-13T09:00:00+08:00
會議名稱 立法院第11屆第4會期內政委員會第3次全體委員會議(事由:邀請內政部部長、原住民族委員會主任委員、農業部部長率所屬單位就「堰塞湖監測、災害預警通報、疏散機制及災後復原重建」進行專題報告,並備質詢,另請經濟部、環境部、衛生福利部、行政院公共工程委員會派員列席備詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 1.19534375
transcript.pyannote[0].end 2.49471875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 3.01784375
transcript.pyannote[1].end 4.18221875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 9.07596875
transcript.pyannote[2].end 11.65784375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 9.22784375
transcript.pyannote[3].end 9.51471875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 10.52721875
transcript.pyannote[4].end 11.16846875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 12.29909375
transcript.pyannote[5].end 18.72846875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 19.08284375
transcript.pyannote[6].end 21.78284375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 22.32284375
transcript.pyannote[7].end 24.80346875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 25.19159375
transcript.pyannote[8].end 26.76096875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 27.35159375
transcript.pyannote[9].end 28.83659375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 29.15721875
transcript.pyannote[10].end 31.85721875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 32.43096875
transcript.pyannote[11].end 36.34596875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 36.90284375
transcript.pyannote[12].end 37.88159375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 38.50596875
transcript.pyannote[13].end 39.99096875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 40.34534375
transcript.pyannote[14].end 41.99909375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 42.38721875
transcript.pyannote[15].end 43.41659375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 44.36159375
transcript.pyannote[16].end 45.01971875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 45.61034375
transcript.pyannote[17].end 49.00221875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 49.66034375
transcript.pyannote[18].end 51.48284375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 51.97221875
transcript.pyannote[19].end 52.56284375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 53.03534375
transcript.pyannote[20].end 55.29659375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 55.61721875
transcript.pyannote[21].end 56.83221875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 57.15284375
transcript.pyannote[22].end 59.12721875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 59.85284375
transcript.pyannote[23].end 61.47284375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 62.24909375
transcript.pyannote[24].end 63.78471875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 64.32471875
transcript.pyannote[25].end 67.04159375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 67.91909375
transcript.pyannote[26].end 68.39159375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 68.89784375
transcript.pyannote[27].end 70.51784375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 71.36159375
transcript.pyannote[28].end 72.00284375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 72.62721875
transcript.pyannote[29].end 73.97721875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 74.26409375
transcript.pyannote[30].end 75.39471875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 75.63096875
transcript.pyannote[31].end 76.05284375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 76.44096875
transcript.pyannote[32].end 77.04846875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 77.67284375
transcript.pyannote[33].end 80.10284375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 80.86221875
transcript.pyannote[34].end 81.65534375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 82.68471875
transcript.pyannote[35].end 84.28784375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 84.97971875
transcript.pyannote[36].end 85.82346875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 86.24534375
transcript.pyannote[37].end 87.96659375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 88.23659375
transcript.pyannote[38].end 90.81846875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 91.32471875
transcript.pyannote[39].end 92.26971875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 92.89409375
transcript.pyannote[40].end 94.46346875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 95.10471875
transcript.pyannote[41].end 97.77096875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 98.42909375
transcript.pyannote[42].end 100.09971875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 100.97721875
transcript.pyannote[43].end 101.48346875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 102.85034375
transcript.pyannote[44].end 103.72784375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 104.13284375
transcript.pyannote[45].end 106.02284375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 106.81596875
transcript.pyannote[46].end 107.76096875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 108.50346875
transcript.pyannote[47].end 109.44846875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 110.39346875
transcript.pyannote[48].end 110.91659375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 111.49034375
transcript.pyannote[49].end 113.34659375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 113.97096875
transcript.pyannote[50].end 115.01721875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 115.54034375
transcript.pyannote[51].end 116.28284375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 117.02534375
transcript.pyannote[52].end 119.32034375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 119.75909375
transcript.pyannote[53].end 121.58159375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 121.98659375
transcript.pyannote[54].end 124.12971875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 124.63596875
transcript.pyannote[55].end 126.27284375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 126.86346875
transcript.pyannote[56].end 128.60159375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 129.44534375
transcript.pyannote[57].end 132.49971875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 132.85409375
transcript.pyannote[58].end 135.62159375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 136.26284375
transcript.pyannote[59].end 137.56221875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 137.88284375
transcript.pyannote[60].end 139.72221875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 140.31284375
transcript.pyannote[61].end 142.06784375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 142.99596875
transcript.pyannote[62].end 145.79721875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 146.20221875
transcript.pyannote[63].end 149.37471875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 148.09221875
transcript.pyannote[64].end 148.27784375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 150.15096875
transcript.pyannote[65].end 152.05784375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 152.54721875
transcript.pyannote[66].end 153.74534375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 154.28534375
transcript.pyannote[67].end 155.19659375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 156.05721875
transcript.pyannote[68].end 157.69409375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 157.93034375
transcript.pyannote[69].end 159.61784375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 160.30971875
transcript.pyannote[70].end 161.82846875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 162.36846875
transcript.pyannote[71].end 163.46534375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 164.02221875
transcript.pyannote[72].end 165.33846875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 165.67596875
transcript.pyannote[73].end 166.68846875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 166.99221875
transcript.pyannote[74].end 170.83971875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 171.26159375
transcript.pyannote[75].end 173.86034375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 175.19346875
transcript.pyannote[76].end 175.69971875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 176.86409375
transcript.pyannote[77].end 178.33221875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 178.88909375
transcript.pyannote[78].end 181.60596875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 182.31471875
transcript.pyannote[79].end 183.61409375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 184.08659375
transcript.pyannote[80].end 185.67284375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 186.65159375
transcript.pyannote[81].end 187.03971875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 187.15784375
transcript.pyannote[82].end 187.90034375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 188.65971875
transcript.pyannote[83].end 189.52034375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 189.84096875
transcript.pyannote[84].end 191.89971875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 192.64221875
transcript.pyannote[85].end 196.06784375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 197.36721875
transcript.pyannote[86].end 199.35846875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 199.67909375
transcript.pyannote[87].end 200.65784375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 201.46784375
transcript.pyannote[88].end 203.52659375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 204.47159375
transcript.pyannote[89].end 204.89346875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 205.60221875
transcript.pyannote[90].end 207.71159375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 208.35284375
transcript.pyannote[91].end 209.55096875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 210.29346875
transcript.pyannote[92].end 212.50409375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 213.56721875
transcript.pyannote[93].end 215.25471875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 215.89596875
transcript.pyannote[94].end 217.71846875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 217.97159375
transcript.pyannote[95].end 221.36346875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 221.70096875
transcript.pyannote[96].end 223.27034375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 223.60784375
transcript.pyannote[97].end 226.17284375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 225.54846875
transcript.pyannote[98].end 225.95346875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 226.56096875
transcript.pyannote[99].end 228.28221875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 226.89846875
transcript.pyannote[100].end 227.06721875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 228.97409375
transcript.pyannote[101].end 230.67846875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 231.57284375
transcript.pyannote[102].end 234.61034375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 234.69471875
transcript.pyannote[103].end 236.26409375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 237.27659375
transcript.pyannote[104].end 238.62659375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 239.26784375
transcript.pyannote[105].end 239.80784375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 240.49971875
transcript.pyannote[106].end 242.84534375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 243.28409375
transcript.pyannote[107].end 245.54534375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 246.22034375
transcript.pyannote[108].end 248.65034375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 249.22409375
transcript.pyannote[109].end 250.81034375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 251.92409375
transcript.pyannote[110].end 253.98284375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 254.32034375
transcript.pyannote[111].end 255.09659375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 254.38784375
transcript.pyannote[112].end 254.97846875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 255.90659375
transcript.pyannote[113].end 258.97784375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 259.53471875
transcript.pyannote[114].end 264.05721875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 264.46221875
transcript.pyannote[115].end 268.95096875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 269.35596875
transcript.pyannote[116].end 273.03471875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 273.43971875
transcript.pyannote[117].end 276.05534375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 276.35909375
transcript.pyannote[118].end 278.83971875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 279.17721875
transcript.pyannote[119].end 287.00721875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 287.29409375
transcript.pyannote[120].end 299.29221875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 296.76096875
transcript.pyannote[121].end 302.11034375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 302.43096875
transcript.pyannote[122].end 311.57721875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 311.96534375
transcript.pyannote[123].end 313.77096875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 314.07471875
transcript.pyannote[124].end 315.86346875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 316.21784375
transcript.pyannote[125].end 318.63096875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 319.42409375
transcript.pyannote[126].end 319.69409375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 320.28471875
transcript.pyannote[127].end 321.92159375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 322.69784375
transcript.pyannote[128].end 324.55409375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 325.43159375
transcript.pyannote[129].end 325.92096875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 326.51159375
transcript.pyannote[130].end 328.03034375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 328.65471875
transcript.pyannote[131].end 330.35909375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 330.51096875
transcript.pyannote[132].end 332.35034375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 332.73846875
transcript.pyannote[133].end 334.76346875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 335.10096875
transcript.pyannote[134].end 336.75471875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 337.76721875
transcript.pyannote[135].end 339.91034375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 339.99471875
transcript.pyannote[136].end 341.44596875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 342.01971875
transcript.pyannote[137].end 343.16721875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 343.94346875
transcript.pyannote[138].end 345.02346875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 345.46221875
transcript.pyannote[139].end 347.85846875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 348.34784375
transcript.pyannote[140].end 350.98034375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 351.46971875
transcript.pyannote[141].end 353.81534375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 354.45659375
transcript.pyannote[142].end 356.12721875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 356.39721875
transcript.pyannote[143].end 360.43034375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 361.32471875
transcript.pyannote[144].end 362.62409375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 363.13034375
transcript.pyannote[145].end 364.71659375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 366.15096875
transcript.pyannote[146].end 366.65721875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 367.36596875
transcript.pyannote[147].end 370.35284375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 368.49659375
transcript.pyannote[148].end 368.53034375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 368.54721875
transcript.pyannote[149].end 368.56409375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 370.48784375
transcript.pyannote[150].end 373.91346875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 374.50409375
transcript.pyannote[151].end 377.89596875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 378.38534375
transcript.pyannote[152].end 384.86534375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 384.96659375
transcript.pyannote[153].end 390.02909375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 390.36659375
transcript.pyannote[154].end 391.86846875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 393.69096875
transcript.pyannote[155].end 394.82159375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 394.82159375
transcript.pyannote[156].end 395.31096875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 395.42909375
transcript.pyannote[157].end 400.91346875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 395.47971875
transcript.pyannote[158].end 396.99846875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 399.71534375
transcript.pyannote[159].end 400.13721875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 400.93034375
transcript.pyannote[160].end 408.08534375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 408.42284375
transcript.pyannote[161].end 411.17346875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 411.22409375
transcript.pyannote[162].end 418.96971875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 419.27346875
transcript.pyannote[163].end 431.96346875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 432.30096875
transcript.pyannote[164].end 563.30159375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 447.72471875
transcript.pyannote[165].end 448.11284375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 456.04409375
transcript.pyannote[166].end 456.48284375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 485.05221875
transcript.pyannote[167].end 485.67659375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 508.35659375
transcript.pyannote[168].end 508.79534375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 563.40284375
transcript.pyannote[169].end 594.19971875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 594.52034375
transcript.pyannote[170].end 598.03034375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 598.53659375
transcript.pyannote[171].end 600.34221875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 600.78096875
transcript.pyannote[172].end 604.03784375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 604.27409375
transcript.pyannote[173].end 607.66596875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 607.93596875
transcript.pyannote[174].end 608.39159375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 608.52659375
transcript.pyannote[175].end 609.06659375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 609.52221875
transcript.pyannote[176].end 611.20971875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 611.29409375
transcript.pyannote[177].end 613.42034375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 613.60596875
transcript.pyannote[178].end 615.63096875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 616.08659375
transcript.pyannote[179].end 617.36909375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 617.57159375
transcript.pyannote[180].end 623.17409375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 623.42721875
transcript.pyannote[181].end 624.49034375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 624.79409375
transcript.pyannote[182].end 625.85721875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 626.14409375
transcript.pyannote[183].end 629.89034375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 630.36284375
transcript.pyannote[184].end 632.60721875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 633.09659375
transcript.pyannote[185].end 638.05784375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 638.54721875
transcript.pyannote[186].end 640.92659375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 641.14596875
transcript.pyannote[187].end 647.72721875
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 648.45284375
transcript.pyannote[188].end 650.52846875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 650.59596875
transcript.pyannote[189].end 651.05159375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 651.43971875
transcript.pyannote[190].end 652.43534375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 652.80659375
transcript.pyannote[191].end 654.46034375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 654.69659375
transcript.pyannote[192].end 656.53596875
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 656.87346875
transcript.pyannote[193].end 658.03784375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 658.64534375
transcript.pyannote[194].end 660.02909375
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 660.23159375
transcript.pyannote[195].end 661.88534375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 661.91909375
transcript.pyannote[196].end 666.67784375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 668.38221875
transcript.pyannote[197].end 670.62659375
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 670.99784375
transcript.pyannote[198].end 672.43221875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 672.53346875
transcript.pyannote[199].end 674.03534375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 674.23784375
transcript.pyannote[200].end 675.23346875
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 675.99284375
transcript.pyannote[201].end 680.49846875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 680.95409375
transcript.pyannote[202].end 683.95784375
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 684.07596875
transcript.pyannote[203].end 687.23159375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 687.61971875
transcript.pyannote[204].end 688.68284375
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 689.20596875
transcript.pyannote[205].end 690.77534375
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 691.29846875
transcript.pyannote[206].end 691.90596875
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 692.42909375
transcript.pyannote[207].end 697.74471875
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 698.09909375
transcript.pyannote[208].end 699.06096875
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 699.12846875
transcript.pyannote[209].end 701.47409375
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 702.13221875
transcript.pyannote[210].end 702.80721875
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 702.94221875
transcript.pyannote[211].end 703.71846875
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 703.85346875
transcript.pyannote[212].end 704.57909375
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 704.84909375
transcript.pyannote[213].end 706.16534375
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 706.41846875
transcript.pyannote[214].end 707.05971875
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 707.49846875
transcript.pyannote[215].end 709.23659375
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 709.70909375
transcript.pyannote[216].end 711.90284375
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 712.13909375
transcript.pyannote[217].end 718.87221875
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 719.05784375
transcript.pyannote[218].end 725.62221875
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 725.89221875
transcript.pyannote[219].end 727.22534375
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 728.13659375
transcript.pyannote[220].end 728.77784375
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 729.75659375
transcript.pyannote[221].end 731.96721875
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 729.99284375
transcript.pyannote[222].end 730.33034375
transcript.whisperx[0].start 1.212
transcript.whisperx[0].end 3.375
transcript.whisperx[0].text 主席我們這邊補充請求四方部長委員你早補充辛苦
transcript.whisperx[1].start 12.332
transcript.whisperx[1].end 18.134
transcript.whisperx[1].text 不然在這段時間說實在九月二、三發生這件事發生這件事說實在大家如果看到電視無法想像說發生在台灣中華民國包括我再來我早上回去看到電視的時候我當作是日本的海嘯重播
transcript.whisperx[2].start 38.582
transcript.whisperx[2].end 43.446
transcript.whisperx[2].text 是我看到旁邊一個三千人我告訴你,這發生在我們中華民國的台灣所以在這個規定,不如剛才我們經濟部說說在七月,他就知道有這個問題在陸陸續續開限制會,討論限制事情的時候
transcript.whisperx[3].start 68.087
transcript.whisperx[3].end 79.771
transcript.whisperx[3].text 結果像剛才補充的說我們的天災地變我們無法去預防也不夠我們能夠堅強、順序在這個過程當中說實在包括剛才朝廷留意說的說大家如果說到這個問題心肝都很艱苦
transcript.whisperx[4].start 95.151
transcript.whisperx[4].end 97.533
transcript.whisperx[4].text 你看我們如果能夠早點撤離三王爺這十九個不會過往的還有九個始終在這個過程當中但不是
transcript.whisperx[5].start 115.595
transcript.whisperx[5].end 121.497
transcript.whisperx[5].text 要說什麼人認真 什麼人怎麼樣我們是要想想 怎麼讓我們的財產可以在什麼安全的地方說實在 大家也想要住起來 大家也想要住安全的地方但是他們住到深山下來 他們的經濟還有什麼
transcript.whisperx[6].start 143.052
transcript.whisperx[6].end 147.176
transcript.whisperx[6].text 又要在我們中央政府那裡倒三天那裡倒關心結果在這個過程當中本市也覺得很奇怪造車的問題剛才補充你說的高雄的政策是如何他們的環境
transcript.whisperx[7].start 166.062
transcript.whisperx[7].end 173.188
transcript.whisperx[7].text 現在會發生風災 發生水災的時候是怎麼做才會這麼不正確沒錯這時候是不是我們中央和地方政府都要聯合去怎麼做才確定不能說 跟我這麼大個子的
transcript.whisperx[8].start 192.991
transcript.whisperx[8].end 195.794
transcript.whisperx[8].text 做不到的 做兩個人在那裡長大如果這樣補的時間一開始說八幾個人失蹤了部長聽到這八幾個人失蹤了你我每個人都非常感到非常感到怎麼會發生這樣
transcript.whisperx[9].start 215.936
transcript.whisperx[9].end 221.057
transcript.whisperx[9].text 本席要跟你說的就是我們雖然地方有阻滴法18條、19條有規定地方要做什麼地方要做什麼但是事情發生了北省哪知道你們地方要做什麼地方要做什麼在區委會當中補充你說你再通一通電話給管長快回來
transcript.whisperx[10].start 246.294
transcript.whisperx[10].end 250.657
transcript.whisperx[10].text 但是在你們的開會當中 他們的副館長都說他們安排好了 做好了今天還會發生這樣 來補充你回答一下我想這個災害的過程當中 大家都清楚了那我想目前為止還是一樣 我們不從究責的方向出發我們先從如何可以防止有更大的災害產生
transcript.whisperx[11].start 273.47
transcript.whisperx[11].end 286.296
transcript.whisperx[11].text 那我也非常清楚的跟委員報告就是我們在多次的聯繫當中啊我們也只能相信花蓮縣政府所提供這些不管是依親收容或者是撤離的這些人數
transcript.whisperx[12].start 287.418
transcript.whisperx[12].end 300.528
transcript.whisperx[12].text 那因為在當時啊我也請國軍或者是我們的這個替代役要到包括光復相公所來待命如果有需要有強制撤離的部分我們希望能夠協助沒有啦 我知道這個國軍知道這裡都很認真很努力我要跟你討論的就是說要撤離的時候等於沒有撤離他過去的時候你中央知道嗎
transcript.whisperx[13].start 311.937
transcript.whisperx[13].end 313.679
transcript.whisperx[13].text 知道他沒有撤離嗎?沒有去說救我?沒有去說阿欽要撤離?跟那個大麻村長,去說不說阿欽走?部長,在這兩天的時候,我們19號發生覺得嚴重性的日日叫人要撤離,日三發生事情
transcript.whisperx[14].start 337.81
transcript.whisperx[14].end 343.073
transcript.whisperx[14].text 在發生事情的時候,他們看到水泥沒兩分鐘,跑不掉啦現在我要跟你討論的就是說在他們沒有撤離的時候你們中央有什麼方法嗎?沒有啦,那被捕官,我們都不知道要不要撤離,要不要做什麼事事悲慘耶,沒有啦,他們是悲慘耶部長
transcript.whisperx[15].start 367.701
transcript.whisperx[15].end 370.144
transcript.whisperx[15].text 我們有什麼方法可以來合作來中央和地方可以來檢慶上海沒有啦我不是說我們的地方還是我們的中央是要怎麼讓你們知道該撤離的沒撤離的要過境還可以加強沒有啦過境有這個問題啦
transcript.whisperx[16].start 393.695
transcript.whisperx[16].end 396.558
transcript.whisperx[16].text 你剛才也說了 聽到也感到不曉得如何回應你的問題我想再回憶 看來的狀況就是當時如果有做廣播撤離的時候光復鄉公所確實有告訴我們說它的廣播系統出問題但是花蓮縣的警察局
transcript.whisperx[17].start 411.374
transcript.whisperx[17].end 424.169
transcript.whisperx[17].text 他們在光復的部分趕快派出消防車跟警車用廣播的方式請大家趕快離開然後花蓮縣政府知道說我們疏散撤離的人數高達有1837戶的時候到真正艷澀湖有這個潰堤的危機總共是超過將近43個小時
transcript.whisperx[18].start 432.378
transcript.whisperx[18].end 443.004
transcript.whisperx[18].text 也就是說如果趕快做疏散撤離包括我們常常在講的預防性撤離一定是保全戶也就是有身障或是年紀大的那同時我們也告訴他說因為按照花蓮縣他們的疏散撤離計畫確實有個叫垂直避難那這一次呢罹難的很多老人家他們幾乎都是集中在一樓因為最後他淤沙的程度呢是在一樓以下那往二樓三樓的也是一個可以撤離的方向
transcript.whisperx[19].start 459.853
transcript.whisperx[19].end 484.085
transcript.whisperx[19].text 第一個就是說大家會覺得說好像過去農業部一直推動說有黃色警戒或紅色警戒的撤離計畫很多人覺得那沒問題可能第一個掉以輕心但是這個都是後話第二個就是說疏散撤離的過程當中人力夠不夠按照我們現在中央跟地方所了解的部分人力在疏散撤離上面應該是夠的但是比較重要是戶口的清查
transcript.whisperx[20].start 484.605
transcript.whisperx[20].end 505.934
transcript.whisperx[20].text 你到底知道现在房子里面住的是多少人他能不能离开所以我们看到很多让人家心痛的部分产生的时候我们还是一样非常沉痛任何一个生命的损失都是我们无法沉痛的部分所以我在很多工作会议里面都特别提到垂直的撤离的方式是人命保全最重要
transcript.whisperx[21].start 506.374
transcript.whisperx[21].end 531.119
transcript.whisperx[21].text 財產損失是次之的所以我是覺得這樣子的溝通計畫還是要跟大家再繼續加強那當然中間有一位村長他全村都撤離我也跟委員報告這位村長他在112年的時候有榮獲我們消防署的一個任性社區所以他不只撤離挨家挨戶去請人家離開他還用他的主語用廣播系統告訴人家一定要離開而且全村都巡視
transcript.whisperx[22].start 532.179
transcript.whisperx[22].end 546.85
transcript.whisperx[22].text 所以他是一個非常好的一個地方上的一個村長我們希望用他的案例當成是一個示範的案例未來再推廣很多有需要疏散撤離甚至強制疏散撤離的部分當成一個最好的參考
transcript.whisperx[23].start 547.771
transcript.whisperx[23].end 561.958
transcript.whisperx[23].text 因為我們一定是知道人定真的無法勝天沒有人知道到底什麼時候會有產生溢流因為我也跟委員報告那一天早上當我們知道這個溢流口只剩下幾公尺的時候早上4點鐘我們的消防署長就開始召開會議
transcript.whisperx[24].start 563.619
transcript.whisperx[24].end 590.791
transcript.whisperx[24].text 然後七點鐘的時候每一次農業部發表了紅色紅色紅色從八點一直發布紅色警戒兩個小時發布一次到下午兩點半的時候才產生從早上八點到兩點半產生的時候一直在通知地方上要趕快來協助但是真的就是憾事發生那既然憾事發生的話大家都要能夠理解說未來我們到底溝通的部分法令上不足的部分或者是我們整個的疏散撤離企劃有不夠
transcript.whisperx[25].start 591.391
transcript.whisperx[25].end 603.5
transcript.whisperx[25].text 明確的部分的話 還是需要深切的檢討啦對啦 普通 你剛才就是說溝通的問題 撤離的問題在這個過程當中 我覺得在法律當中也有一些不足的地方 我們未來要趕緊去改啦在這個過程當中 你看事情發生之後
transcript.whisperx[26].start 613.717
transcript.whisperx[26].end 619.081
transcript.whisperx[26].text 你看很多人做志工,在這個過程,大家不小心做志工而已入獄的時候,那個心情看多艱苦所以保證,我是要跟你說,我們最重要最重要的天災我們沒辦法去預防,要不然我們要撤離的時候,我們一定要做到到底啦
transcript.whisperx[27].start 638.613
transcript.whisperx[27].end 642.577
transcript.whisperx[27].text 因為你剛才說的大馬村 那個村長有受過分跟他能說 也能說他的族 民族 他有的嘛跟八村那個 但是我們不能讓任何一村來受盡他們的風險啦所以未來的時候 不管在哪一個地方我們要去訓練他們
transcript.whisperx[28].start 668.427
transcript.whisperx[28].end 673.648
transcript.whisperx[28].text 公佈電台也不可以廢棄啦那個廣播系統他剛才你說的說你有沒有看那個消防的車一直公佈一直公佈這個有沒有看到驚悚說啦,可以沒有那個發展會公佈的時候可以再驚慌最恐慌的啦在這裡面,部長你看,大家都要再努力因為未來會重建的路
transcript.whisperx[29].start 698.168
transcript.whisperx[29].end 704.452
transcript.whisperx[29].text 我們也跟花蓮互相加油有未來的一天跟我們一起繼續所有事情像鳳林
transcript.whisperx[30].start 712.994
transcript.whisperx[30].end 713.475
transcript.whisperx[30].text 謝謝王美惠