iVOD / 163232

Field Value
IVOD_ID 163232
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163232
日期 2025-07-21
會議資料.會議代碼 委員會-11-3-19-18
會議資料.會議代碼:str 第11屆第3會期經濟委員會第18次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 18
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第3會期經濟委員會第18次全體委員會議
影片種類 Clip
開始時間 2025-07-21T12:02:24+08:00
結束時間 2025-07-21T12:15:02+08:00
影片長度 00:12:38
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/03307e70a03ca0b91cb972de9c12ed15bc8bc26138795b0eaa6412bdbc962f35dc3fb96d4c95e3195ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林俊憲
委員發言時間 12:02:24 - 12:15:02
會議時間 2025-07-21T09:00:00+08:00
會議名稱 立法院第11屆第3會期經濟委員會第18次全體委員會議(事由:邀請經濟部部長、農業部部長、內政部首長及交通部首長就「丹娜絲颱風及0708豪雨災損及回復情形」進行報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 6.47721875
transcript.pyannote[0].end 7.37159375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 7.81034375
transcript.pyannote[1].end 9.91971875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 10.40909375
transcript.pyannote[2].end 10.86471875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 11.25284375
transcript.pyannote[3].end 13.27784375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 14.23971875
transcript.pyannote[4].end 14.76284375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 15.38721875
transcript.pyannote[5].end 16.01159375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 21.05721875
transcript.pyannote[6].end 21.52971875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 21.90096875
transcript.pyannote[7].end 22.23846875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 22.62659375
transcript.pyannote[8].end 24.82034375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 25.14096875
transcript.pyannote[9].end 29.62971875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 30.30471875
transcript.pyannote[10].end 32.16096875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 32.51534375
transcript.pyannote[11].end 33.74721875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 34.43909375
transcript.pyannote[12].end 37.13909375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 37.74659375
transcript.pyannote[13].end 40.69971875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 41.40846875
transcript.pyannote[14].end 42.69096875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 43.34909375
transcript.pyannote[15].end 44.76659375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 45.39096875
transcript.pyannote[16].end 47.09534375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 47.68596875
transcript.pyannote[17].end 48.29346875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 49.06971875
transcript.pyannote[18].end 52.68096875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 52.86659375
transcript.pyannote[19].end 53.86221875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 54.09846875
transcript.pyannote[20].end 58.26659375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 58.78971875
transcript.pyannote[21].end 63.34596875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 63.71721875
transcript.pyannote[22].end 66.46784375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 67.09221875
transcript.pyannote[23].end 71.88471875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 72.81284375
transcript.pyannote[24].end 76.13721875
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 76.57596875
transcript.pyannote[25].end 78.16221875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 78.88784375
transcript.pyannote[26].end 80.54159375
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 80.96346875
transcript.pyannote[27].end 83.74784375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 84.30471875
transcript.pyannote[28].end 90.09284375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 90.63284375
transcript.pyannote[29].end 92.28659375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 92.74221875
transcript.pyannote[30].end 96.92721875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 97.34909375
transcript.pyannote[31].end 98.73284375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 98.96909375
transcript.pyannote[32].end 101.73659375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 102.25971875
transcript.pyannote[33].end 103.77846875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 104.30159375
transcript.pyannote[34].end 106.49534375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 106.71471875
transcript.pyannote[35].end 111.54096875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 111.97971875
transcript.pyannote[36].end 113.58284375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 114.03846875
transcript.pyannote[37].end 116.38409375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 116.70471875
transcript.pyannote[38].end 118.12221875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 118.42596875
transcript.pyannote[39].end 118.72971875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 119.37096875
transcript.pyannote[40].end 119.70846875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 120.13034375
transcript.pyannote[41].end 121.58159375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 121.69971875
transcript.pyannote[42].end 126.89721875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 127.63971875
transcript.pyannote[43].end 132.63471875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 133.29284375
transcript.pyannote[44].end 136.34721875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 136.71846875
transcript.pyannote[45].end 138.50721875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 138.96284375
transcript.pyannote[46].end 140.26221875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 141.15659375
transcript.pyannote[47].end 141.57846875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 142.47284375
transcript.pyannote[48].end 142.92846875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 143.58659375
transcript.pyannote[49].end 145.91534375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 146.60721875
transcript.pyannote[50].end 148.14284375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 148.49721875
transcript.pyannote[51].end 150.18471875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 150.25221875
transcript.pyannote[52].end 150.96096875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 151.29846875
transcript.pyannote[53].end 152.74971875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 153.32346875
transcript.pyannote[54].end 153.81284375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 154.06596875
transcript.pyannote[55].end 155.31471875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 156.32721875
transcript.pyannote[56].end 157.60971875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 157.94721875
transcript.pyannote[57].end 159.02721875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 159.02721875
transcript.pyannote[58].end 159.95534375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 160.46159375
transcript.pyannote[59].end 160.47846875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 160.47846875
transcript.pyannote[60].end 161.60909375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 162.84096875
transcript.pyannote[61].end 165.70971875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 166.01346875
transcript.pyannote[62].end 169.32096875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 169.50659375
transcript.pyannote[63].end 174.72096875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 169.86096875
transcript.pyannote[64].end 169.94534375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 174.94034375
transcript.pyannote[65].end 197.51909375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 181.04909375
transcript.pyannote[66].end 183.15846875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 183.15846875
transcript.pyannote[67].end 183.22596875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 183.63096875
transcript.pyannote[68].end 183.68159375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 183.68159375
transcript.pyannote[69].end 184.12034375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 197.97471875
transcript.pyannote[70].end 199.84784375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 199.84784375
transcript.pyannote[71].end 200.89409375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 200.01659375
transcript.pyannote[72].end 200.80971875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 200.89409375
transcript.pyannote[73].end 200.97846875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 200.97846875
transcript.pyannote[74].end 202.68284375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 202.75034375
transcript.pyannote[75].end 204.70784375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 203.08784375
transcript.pyannote[76].end 203.15534375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 205.18034375
transcript.pyannote[77].end 206.02409375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 206.49659375
transcript.pyannote[78].end 208.58909375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 209.14596875
transcript.pyannote[79].end 212.21721875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 212.47034375
transcript.pyannote[80].end 216.14909375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 216.30096875
transcript.pyannote[81].end 216.33471875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 216.33471875
transcript.pyannote[82].end 236.55096875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 235.20096875
transcript.pyannote[83].end 238.25534375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 237.15846875
transcript.pyannote[84].end 238.22159375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 238.25534375
transcript.pyannote[85].end 239.03159375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 239.03159375
transcript.pyannote[86].end 240.66846875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 239.38596875
transcript.pyannote[87].end 240.02721875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 241.56284375
transcript.pyannote[88].end 244.26284375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 244.68471875
transcript.pyannote[89].end 245.42721875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 245.95034375
transcript.pyannote[90].end 249.30846875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 249.67971875
transcript.pyannote[91].end 256.17659375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 256.80096875
transcript.pyannote[92].end 272.73096875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 273.42284375
transcript.pyannote[93].end 274.65471875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 274.99221875
transcript.pyannote[94].end 276.03846875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 276.03846875
transcript.pyannote[95].end 276.64596875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 277.20284375
transcript.pyannote[96].end 277.21971875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 277.21971875
transcript.pyannote[97].end 278.06346875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 278.53596875
transcript.pyannote[98].end 278.89034375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 279.07596875
transcript.pyannote[99].end 281.87721875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 281.97846875
transcript.pyannote[100].end 289.18409375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 287.47971875
transcript.pyannote[101].end 288.37409375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 289.63971875
transcript.pyannote[102].end 293.30159375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 293.74034375
transcript.pyannote[103].end 296.11971875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 296.45721875
transcript.pyannote[104].end 301.19909375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 301.31721875
transcript.pyannote[105].end 302.76846875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 303.08909375
transcript.pyannote[106].end 304.05096875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 304.08471875
transcript.pyannote[107].end 306.71721875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 306.93659375
transcript.pyannote[108].end 308.69159375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 309.16409375
transcript.pyannote[109].end 313.48409375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 313.70346875
transcript.pyannote[110].end 331.54034375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 329.07659375
transcript.pyannote[111].end 330.78096875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 331.54034375
transcript.pyannote[112].end 331.55721875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 331.55721875
transcript.pyannote[113].end 337.48034375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 331.59096875
transcript.pyannote[114].end 333.63284375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 337.02471875
transcript.pyannote[115].end 337.36221875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 338.12159375
transcript.pyannote[116].end 343.70721875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 343.70721875
transcript.pyannote[117].end 343.72409375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 343.72409375
transcript.pyannote[118].end 343.74096875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 343.74096875
transcript.pyannote[119].end 343.77471875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 344.06159375
transcript.pyannote[120].end 344.07846875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 344.07846875
transcript.pyannote[121].end 346.93034375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 346.96409375
transcript.pyannote[122].end 350.99721875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 351.53721875
transcript.pyannote[123].end 353.74784375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 354.11909375
transcript.pyannote[124].end 360.80159375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 361.15596875
transcript.pyannote[125].end 367.21409375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 362.94471875
transcript.pyannote[126].end 363.29909375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 367.43346875
transcript.pyannote[127].end 371.39909375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 367.51784375
transcript.pyannote[128].end 368.22659375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 371.55096875
transcript.pyannote[129].end 375.14534375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 375.56721875
transcript.pyannote[130].end 378.55409375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 375.65159375
transcript.pyannote[131].end 376.27596875
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 378.90846875
transcript.pyannote[132].end 382.40159375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 382.72221875
transcript.pyannote[133].end 383.66721875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 384.29159375
transcript.pyannote[134].end 384.76409375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 388.98284375
transcript.pyannote[135].end 390.50159375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 390.55221875
transcript.pyannote[136].end 390.56909375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 390.58596875
transcript.pyannote[137].end 390.85596875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 390.92346875
transcript.pyannote[138].end 396.47534375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 396.81284375
transcript.pyannote[139].end 398.44971875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 398.93909375
transcript.pyannote[140].end 401.14971875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 401.57159375
transcript.pyannote[141].end 402.80346875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 403.27596875
transcript.pyannote[142].end 411.94971875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 412.79346875
transcript.pyannote[143].end 415.98284375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 416.60721875
transcript.pyannote[144].end 417.92346875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 418.22721875
transcript.pyannote[145].end 421.50096875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 421.87221875
transcript.pyannote[146].end 422.80034375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 423.72846875
transcript.pyannote[147].end 425.41596875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 425.71971875
transcript.pyannote[148].end 426.96846875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 427.45784375
transcript.pyannote[149].end 428.48721875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 428.97659375
transcript.pyannote[150].end 431.10284375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 431.87909375
transcript.pyannote[151].end 434.69721875
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 435.74346875
transcript.pyannote[152].end 436.19909375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 437.07659375
transcript.pyannote[153].end 438.39284375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 438.93284375
transcript.pyannote[154].end 439.42221875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 439.92846875
transcript.pyannote[155].end 441.00846875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 441.12659375
transcript.pyannote[156].end 442.27409375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 443.40471875
transcript.pyannote[157].end 447.50534375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 448.11284375
transcript.pyannote[158].end 448.92284375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 448.93971875
transcript.pyannote[159].end 450.45846875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 451.23471875
transcript.pyannote[160].end 452.68596875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 453.54659375
transcript.pyannote[161].end 454.27221875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 454.44096875
transcript.pyannote[162].end 455.57159375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 456.55034375
transcript.pyannote[163].end 457.63034375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 457.95096875
transcript.pyannote[164].end 460.26284375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 461.41034375
transcript.pyannote[165].end 463.30034375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 463.95846875
transcript.pyannote[166].end 464.46471875
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 465.07221875
transcript.pyannote[167].end 465.84846875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 467.45159375
transcript.pyannote[168].end 469.27409375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 469.27409375
transcript.pyannote[169].end 469.29096875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 470.13471875
transcript.pyannote[170].end 470.15159375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 470.15159375
transcript.pyannote[171].end 474.10034375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 474.62346875
transcript.pyannote[172].end 489.59159375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 488.37659375
transcript.pyannote[173].end 489.52409375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 489.77721875
transcript.pyannote[174].end 492.39284375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 492.59534375
transcript.pyannote[175].end 513.87471875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 499.00784375
transcript.pyannote[176].end 499.02471875
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 499.02471875
transcript.pyannote[177].end 501.28596875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 512.99721875
transcript.pyannote[178].end 515.47784375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 513.90846875
transcript.pyannote[179].end 513.92534375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 514.53284375
transcript.pyannote[180].end 514.87034375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 514.90409375
transcript.pyannote[181].end 514.92096875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 516.10221875
transcript.pyannote[182].end 518.02596875
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 519.17346875
transcript.pyannote[183].end 521.58659375
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 522.00846875
transcript.pyannote[184].end 523.00409375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 523.96596875
transcript.pyannote[185].end 530.93534375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 530.96909375
transcript.pyannote[186].end 533.07846875
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 533.65221875
transcript.pyannote[187].end 535.67721875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 536.04846875
transcript.pyannote[188].end 536.06534375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 536.06534375
transcript.pyannote[189].end 536.08221875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 536.08221875
transcript.pyannote[190].end 536.38596875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 536.38596875
transcript.pyannote[191].end 536.52096875
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 536.52096875
transcript.pyannote[192].end 537.66846875
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 536.67284375
transcript.pyannote[193].end 568.92096875
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 566.00159375
transcript.pyannote[194].end 566.28846875
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 568.39784375
transcript.pyannote[195].end 568.81971875
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 568.92096875
transcript.pyannote[196].end 569.44409375
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 569.79846875
transcript.pyannote[197].end 576.31221875
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 571.60409375
transcript.pyannote[198].end 572.68409375
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 575.01284375
transcript.pyannote[199].end 575.16471875
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 576.36284375
transcript.pyannote[200].end 576.73409375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 577.45971875
transcript.pyannote[201].end 577.78034375
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 578.59034375
transcript.pyannote[202].end 578.74221875
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 579.16409375
transcript.pyannote[203].end 581.35784375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 581.64471875
transcript.pyannote[204].end 584.36159375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 585.08721875
transcript.pyannote[205].end 592.69784375
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 594.03096875
transcript.pyannote[206].end 604.74659375
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 604.74659375
transcript.pyannote[207].end 605.35409375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 605.35409375
transcript.pyannote[208].end 605.38784375
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 605.38784375
transcript.pyannote[209].end 605.89409375
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 605.89409375
transcript.pyannote[210].end 605.92784375
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 605.92784375
transcript.pyannote[211].end 607.54784375
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 605.94471875
transcript.pyannote[212].end 606.77159375
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 607.81784375
transcript.pyannote[213].end 609.04971875
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 609.20159375
transcript.pyannote[214].end 610.56846875
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 610.78784375
transcript.pyannote[215].end 612.55971875
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 612.81284375
transcript.pyannote[216].end 613.45409375
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 618.49971875
transcript.pyannote[217].end 619.27596875
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 619.76534375
transcript.pyannote[218].end 620.57534375
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 621.28409375
transcript.pyannote[219].end 623.84909375
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 624.59159375
transcript.pyannote[220].end 625.89096875
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 625.92471875
transcript.pyannote[221].end 626.24534375
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 626.66721875
transcript.pyannote[222].end 630.21096875
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 630.37971875
transcript.pyannote[223].end 630.70034375
transcript.pyannote[224].speaker SPEAKER_03
transcript.pyannote[224].start 631.25721875
transcript.pyannote[224].end 631.30784375
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 631.30784375
transcript.pyannote[225].end 635.40846875
transcript.pyannote[226].speaker SPEAKER_03
transcript.pyannote[226].start 635.44221875
transcript.pyannote[226].end 638.05784375
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 638.05784375
transcript.pyannote[227].end 640.99409375
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 641.92221875
transcript.pyannote[228].end 643.37346875
transcript.pyannote[229].speaker SPEAKER_03
transcript.pyannote[229].start 641.98971875
transcript.pyannote[229].end 642.61409375
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 642.68159375
transcript.pyannote[230].end 646.68096875
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 647.18721875
transcript.pyannote[231].end 649.92096875
transcript.pyannote[232].speaker SPEAKER_02
transcript.pyannote[232].start 650.24159375
transcript.pyannote[232].end 651.55784375
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 651.76034375
transcript.pyannote[233].end 654.20721875
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 655.11846875
transcript.pyannote[234].end 655.89471875
transcript.pyannote[235].speaker SPEAKER_02
transcript.pyannote[235].start 657.00846875
transcript.pyannote[235].end 658.79721875
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 659.30346875
transcript.pyannote[236].end 659.62409375
transcript.pyannote[237].speaker SPEAKER_02
transcript.pyannote[237].start 659.94471875
transcript.pyannote[237].end 661.17659375
transcript.pyannote[238].speaker SPEAKER_02
transcript.pyannote[238].start 661.54784375
transcript.pyannote[238].end 661.93596875
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 662.12159375
transcript.pyannote[239].end 665.26034375
transcript.pyannote[240].speaker SPEAKER_02
transcript.pyannote[240].start 666.32346875
transcript.pyannote[240].end 667.13346875
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 667.31909375
transcript.pyannote[241].end 671.26784375
transcript.pyannote[242].speaker SPEAKER_02
transcript.pyannote[242].start 671.95971875
transcript.pyannote[242].end 672.70221875
transcript.pyannote[243].speaker SPEAKER_03
transcript.pyannote[243].start 672.71909375
transcript.pyannote[243].end 672.95534375
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 673.42784375
transcript.pyannote[244].end 674.96346875
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 675.97596875
transcript.pyannote[245].end 677.34284375
transcript.pyannote[246].speaker SPEAKER_03
transcript.pyannote[246].start 677.83221875
transcript.pyannote[246].end 680.29596875
transcript.pyannote[247].speaker SPEAKER_03
transcript.pyannote[247].start 681.42659375
transcript.pyannote[247].end 683.97471875
transcript.pyannote[248].speaker SPEAKER_02
transcript.pyannote[248].start 683.97471875
transcript.pyannote[248].end 689.67846875
transcript.pyannote[249].speaker SPEAKER_03
transcript.pyannote[249].start 685.88159375
transcript.pyannote[249].end 686.13471875
transcript.pyannote[250].speaker SPEAKER_02
transcript.pyannote[250].start 689.79659375
transcript.pyannote[250].end 691.99034375
transcript.pyannote[251].speaker SPEAKER_02
transcript.pyannote[251].start 692.61471875
transcript.pyannote[251].end 694.50471875
transcript.pyannote[252].speaker SPEAKER_02
transcript.pyannote[252].start 694.79159375
transcript.pyannote[252].end 696.34409375
transcript.pyannote[253].speaker SPEAKER_02
transcript.pyannote[253].start 696.39471875
transcript.pyannote[253].end 698.47034375
transcript.pyannote[254].speaker SPEAKER_03
transcript.pyannote[254].start 698.47034375
transcript.pyannote[254].end 698.52096875
transcript.pyannote[255].speaker SPEAKER_02
transcript.pyannote[255].start 699.02721875
transcript.pyannote[255].end 699.06096875
transcript.pyannote[256].speaker SPEAKER_03
transcript.pyannote[256].start 699.06096875
transcript.pyannote[256].end 699.56721875
transcript.pyannote[257].speaker SPEAKER_02
transcript.pyannote[257].start 700.15784375
transcript.pyannote[257].end 700.17471875
transcript.pyannote[258].speaker SPEAKER_03
transcript.pyannote[258].start 700.17471875
transcript.pyannote[258].end 719.63159375
transcript.pyannote[259].speaker SPEAKER_02
transcript.pyannote[259].start 717.21846875
transcript.pyannote[259].end 720.50909375
transcript.pyannote[260].speaker SPEAKER_03
transcript.pyannote[260].start 720.50909375
transcript.pyannote[260].end 722.66909375
transcript.pyannote[261].speaker SPEAKER_02
transcript.pyannote[261].start 721.80846875
transcript.pyannote[261].end 733.04721875
transcript.pyannote[262].speaker SPEAKER_03
transcript.pyannote[262].start 723.63096875
transcript.pyannote[262].end 726.56721875
transcript.pyannote[263].speaker SPEAKER_03
transcript.pyannote[263].start 726.87096875
transcript.pyannote[263].end 727.52909375
transcript.pyannote[264].speaker SPEAKER_02
transcript.pyannote[264].start 733.62096875
transcript.pyannote[264].end 735.29159375
transcript.pyannote[265].speaker SPEAKER_02
transcript.pyannote[265].start 735.47721875
transcript.pyannote[265].end 741.16409375
transcript.pyannote[266].speaker SPEAKER_03
transcript.pyannote[266].start 738.12659375
transcript.pyannote[266].end 739.25721875
transcript.pyannote[267].speaker SPEAKER_03
transcript.pyannote[267].start 739.30784375
transcript.pyannote[267].end 739.61159375
transcript.pyannote[268].speaker SPEAKER_02
transcript.pyannote[268].start 741.55221875
transcript.pyannote[268].end 755.99721875
transcript.pyannote[269].speaker SPEAKER_03
transcript.pyannote[269].start 742.53096875
transcript.pyannote[269].end 745.01159375
transcript.pyannote[270].speaker SPEAKER_03
transcript.pyannote[270].start 745.24784375
transcript.pyannote[270].end 745.68659375
transcript.pyannote[271].speaker SPEAKER_00
transcript.pyannote[271].start 752.79096875
transcript.pyannote[271].end 755.74409375
transcript.pyannote[272].speaker SPEAKER_02
transcript.pyannote[272].start 756.50346875
transcript.pyannote[272].end 758.12346875
transcript.whisperx[0].start 6.496
transcript.whisperx[0].end 15.863
transcript.whisperx[0].text 好 感谢主席本期邀请我们经济部的郭部长还有我们台电郭部长曾董事长曾董事长
transcript.whisperx[1].start 21.289
transcript.whisperx[1].end 35.06
transcript.whisperx[1].text 議員好部長 你也有召集在庫那邊我想你應該感受到這次災情那麼慘其中這個斷電是一個非常重要的因素因為你如果停電在這邊的在庫很多地方是要停水
transcript.whisperx[2].start 37.793
transcript.whisperx[2].end 66.202
transcript.whisperx[2].text 因為他們的水啊 水壓如果不夠都要靠那個抽水摩托所以你停電停水我們的電話條款都倒了所以啊 網路訊號 手機訊號他們都怕我們的電話鎖了所以這回倒了這次就是停電停水又停掉了電信訊號所以造成了可能是有史以來最慘重的災情之一啦現在大家都在說那如何強化
transcript.whisperx[3].start 68.143
transcript.whisperx[3].end 83.437
transcript.whisperx[3].text 我們的電網的韌性 我想這倒不是供電的問題 是電網的問題如果強化我們電網的韌性 譬如說電能地下化電能地下化確實是一個方法 但是我想不是所有的答案
transcript.whisperx[4].start 84.578
transcript.whisperx[4].end 95.386
transcript.whisperx[4].text 我跟董事長討論一下我以前在我選區我們台電也在外雙屋就是平安公路台17層這就是台南市的南區 溪丘到萬里當中這以前風太大就跳電了因為它的電話條都站在台時機的旁邊颱風一來風很大 電線都會戳斷電話條沒倒就戳斷電線
transcript.whisperx[5].start 114.113
transcript.whisperx[5].end 138.023
transcript.whisperx[5].text 所以後來這個地方就跟北亞發就解決這個問題啦那這是2016年我跟我們台電爭取的那時候才六千多萬不過現在恐怕以目前的供料這個會很貴了啦這道理在這裡我想董事長跟我們台電的總經理你們大概幾乎都進駐在災區嘛你應該感同身受啦那要不要來強化我們的電網啊我想
transcript.whisperx[6].start 143.904
transcript.whisperx[6].end 170.914
transcript.whisperx[6].text 對 電纜如果地下化 沿水的地區就不行了是不是這樣 我不定有時間給你答詢但我要跟你 我的意見請你帶回去啦對齁 那不一樣的地方目前可以優先電纜地下化 台北現在有沒有計畫來 那個我跟跟委員報告幾個事情 第一個事情就是我們主幹線一定要先強化因為大家都用
transcript.whisperx[7].start 171.654
transcript.whisperx[7].end 197.341
transcript.whisperx[7].text 單一的解方就是說 認為地下化就可以解決問題但地下化如果我們這些設備被水泡了那個解決問題要更久因為淹水地方 電能地下化更麻煩2018年那個西部海岸淹水那個光是抽水就抽了七八天那個七八天以後才來復電 那個事情會更麻煩所以我跟委員報告幾個事啊齁您剛才講可以地下化的地方可能都是要路基比較穩定 好的道路
transcript.whisperx[8].start 198.061
transcript.whisperx[8].end 210.466
transcript.whisperx[8].text 我們來優先辦理那我們就很確定的來討論我認為台10及台19省道啦 省得一波排水就做得更好這補免什麼 能夠由誰來做啦我認為台電你應該先規範出可以遞交的所在地的行政
transcript.whisperx[9].start 216.388
transcript.whisperx[9].end 236.296
transcript.whisperx[9].text 跟委員報告這一點我們會提啦因為部長都指示我們要趕快做這件事因為這件事大家都關注這個需要跨部會一起來處理啦因為交通部也在我其實是因為這個牽涉到省道我們過去有一起的合作經驗我們有沒有辦法怎麼做好這件事因為連電信的我覺得這個是可能可以合作的事
transcript.whisperx[10].start 241.618
transcript.whisperx[10].end 255.228
transcript.whisperx[10].text 不淹水的地方然後又有高壓阻線阻幹管通過的地方要行走啦 要行走地下化啦那這當中當然牽扯到跨部會尤其你省道齁因為你如果對人地下化第一個你要交通維護啦
transcript.whisperx[11].start 257.309
transcript.whisperx[11].end 276.064
transcript.whisperx[11].text 要有交尾的問題嘛對你啊 路面你要再 喔 要再停泊嘛有路權 有施工的問題嘛所以都是你們兩個部位應該要好好的互相協助的啦這樣好不好那另外啦 來 我再請教一下台電啦如果不能地下化的地方啦那應該要強化啦 提高啦 抗風
transcript.whisperx[12].start 277.245
transcript.whisperx[12].end 286.617
transcript.whisperx[12].text 的這個急速啦對謝謝委員啦我覺得這件事情是我們因為地下化要花時間我們在這個因為颱風現在7月就來我們你要做一些事情我先跟委員報告就是說我們現在會在重要的
transcript.whisperx[13].start 296.489
transcript.whisperx[13].end 300.573
transcript.whisperx[13].text 那個主要的那個電感上面因為比方說上面要裝開關就是切換的開關或者是有變壓器的我們會先把它快速的先換成抗風強度比較高的那在一排裡面如果有幾支這種抗風強度更高的鐵塔電感
transcript.whisperx[14].start 317.168
transcript.whisperx[14].end 331.251
transcript.whisperx[14].text 他就不會他就可以讓整排導斷的範圍縮小可能一排原來可能20隻我們中間如果差了4、5隻他就比較不會導斷這麼多這個是我們這幾天跟同仁我們現在緊急在做我們已經準備要緊急採購更強化的電感來做這個
transcript.whisperx[15].start 338.368
transcript.whisperx[15].end 360.342
transcript.whisperx[15].text 類似就是中央隔斷災害擴大的一些工作好 再來喔因為這台電話條都要2400萬元喔那有些倒掉的喔 我也請台電經理幫忙啦你像現在還有一些喔 還沒有移走的喔我知道你現在也缺機具啦 缺人力啦那你要自己去想辦法克服啦要趕快把這個倒下來的電話條趕快幫忙啦這都看得乾淨啦 是 那個
transcript.whisperx[16].start 363.464
transcript.whisperx[16].end 370.926
transcript.whisperx[16].text 大部分都移了 現在在部落裡面還沒移完 村落裡面都還沒移你當然先刷大樓啦 但是裡面還有很多 我拜託你請台電趕快把這些倒塌的電線趕快移走好 謝謝好 謝謝曾董事長另外我來 部長您先休息我來請農業部陳部長
transcript.whisperx[17].start 391.13
transcript.whisperx[17].end 411.524
transcript.whisperx[17].text 這次第三期的風災農業史詩是差不多全國最多,差不多全國的四成五百那其中我現在發現,你的農漁業的補助標準沒有一樣你現在一不兩制,你現在農業補,你都免限刊現在也可以開始去公所受理申報、訂訂你現在漁業史不是這樣,台南也很像
transcript.whisperx[18].start 416.653
transcript.whisperx[18].end 434.478
transcript.whisperx[18].text 那我現在接到的反應啦你漁業署免限的條件你根本無法寫 怎麼可能呢幾個人做得到你現在免限的條件 要有水產履歷 產銷履歷還是有天然災害補助金錢救助你今年還沒有啊 有多少人死了對不對今年有死了也很少啦第三 要有漁業的保險
transcript.whisperx[19].start 443.742
transcript.whisperx[19].end 465.69
transcript.whisperx[19].text 這三個啦 產銷履歷也好啦 漁業保險 本來就是你漁業署要推廣漁業署推廣的績效你自己知道啦你看很多人有保養很少有 我數數給你看啦是酒瓣的零啦 是三百一的五啦 頭髮便宜是五啦吳國瑜的頭髮金額只有一啦我如果請求啦 你現在免現金提出三個條件
transcript.whisperx[20].start 470.248
transcript.whisperx[20].end 491.844
transcript.whisperx[20].text 當然不可能嘛我跟委員報告一下 這可能有一點誤解喔基本上我們免限幹的時候就是你只要能夠證明你有養殖的事實 有沒有這個才算的 但是這三個就是說因為這三個在我們的資料庫有很容易就能夠查證啦但是你如果說只有這三個來來來 我跟你講你所謂的 如果這三個條件你達不到
transcript.whisperx[21].start 492.708
transcript.whisperx[21].end 517.599
transcript.whisperx[21].text 沒有 不是因為這三個裡面我們資料庫都有所以很容易查到沒有的時候你只要去證明你有財神跟養殖的事實這個你拿包括你如果有去放羊這個資料拿過來我們會去查證我們先來講一個確定現在有的公所他不受理第一個
transcript.whisperx[22].start 519.192
transcript.whisperx[22].end 535.722
transcript.whisperx[22].text 我們如果沒有打架,你剛才說的那三個條件,我如果用照片,你現在去寫那些假的,那四個字都會發臭嘛,對不對?所以應該是如果我有拍照純正,我有養殖的事實,你就要認定了嘛,這樣農業跟漁業才會一致嘛
transcript.whisperx[23].start 539.504
transcript.whisperx[23].end 568.018
transcript.whisperx[23].text 我也非常同意委員所說的就是說漁業本身我如果是免限刊的話你只要去證明你有養殖的事實那養殖的事實你可以用APP的照相那公所如果願意認定就認定了或者是你剛才拿你因為我剛剛講的那三件我們的資料口都有你只要說你是成交履歷的我馬上調得到資料那你沒有的話你用照片也可以或者是你其他方式證明你有養殖那就可以了那這個部分我想我會再跟公所來溝通
transcript.whisperx[24].start 569.859
transcript.whisperx[24].end 590.769
transcript.whisperx[24].text 好 那就按照部長你所說的另外有一個部分我認為要留意的在室內養殖的部分現在你做養殖也熟悉的那室內養殖並沒有在我們這次的補償範圍內我是不是請營業署 你看這裡都風災造成的嘛那營業署 你第一邊說的這個部分是不是應該要納進來
transcript.whisperx[25].start 594.076
transcript.whisperx[25].end 611.791
transcript.whisperx[25].text 我覺得這個應該要放進去喔包括一些算是屬於設施啦 養殖的設施那養殖的設施如果農民的話我們一次性的都提高到八成喔這個部分我想我們會來處理好 你應該要把室內養殖爺納入好不好是好 要保證喔再給我們一分鐘喔那個內政部 內政部 來董事長
transcript.whisperx[26].start 618.747
transcript.whisperx[26].end 635.722
transcript.whisperx[26].text 委員好市長我們現在行政院在災後重建是我們對民宅我們已經開始有你補貼對今天我們叫你出店鋪的大廈房就一萬五萬十萬就是六萬到三萬三萬以上但現在在庫我不知道你有沒有去過現場你有去過現場嗎在區現場我們署長有去過那裡補貼也去過了
transcript.whisperx[27].start 647.216
transcript.whisperx[27].end 652.2
transcript.whisperx[27].text 現在民眾非常不滿,就是因為在我們在庫每天都要去三合院,三合院都一個門牌,每天都住更好,整個一定這樣
transcript.whisperx[28].start 666.46
transcript.whisperx[28].end 674.604
transcript.whisperx[28].text 你現在你所謂他照你生涯的保証你是都依一個門牌為單位嘛你應該以戶數為單位啦你不能以門牌為單位啦我們會那個跟那個相關
transcript.whisperx[29].start 681.762
transcript.whisperx[29].end 689.109
transcript.whisperx[29].text 我們是移戶來處理你看移戶是我的單位喔你有當時一個我之前去縣勘看有一個三合院大六戶的他們有水電灘也能證明嘛有沒有居住四十李幹事或是龔壽也都知道嘛這樣有沒有
transcript.whisperx[30].start 700.5
transcript.whisperx[30].end 713.688
transcript.whisperx[30].text 跟委員報告我們基本上就是三合院就是他是多戶一門牌所以我們是一門牌一戶但是我們還是會以居住適時然後以破損的面積來做計算那做計算的方式我們就是按照破損的面積的狀況6坪到30坪是5萬
transcript.whisperx[31].start 717.25
transcript.whisperx[31].end 726.314
transcript.whisperx[31].text 表柱都一樣啦 但是你要他負責就算啦是 我們會去處理你不可以他不擺為單位啦 因為他當時就不擺會打滾就好了這就不然你要趕快通知 因為現在是公所不受理多戶啦
transcript.whisperx[32].start 733.698
transcript.whisperx[32].end 733.718
transcript.whisperx[32].text 好 謝謝