iVOD / 159267

Field Value
IVOD_ID 159267
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159267
日期 2025-03-17
會議資料.會議代碼 委員會-11-3-26-3
會議資料.會議代碼:str 第11屆第3會期社會福利及衛生環境委員會第3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 3
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.委員會代碼:str[0] 社會福利及衛生環境委員會
會議資料.標題 第11屆第3會期社會福利及衛生環境委員會第3次全體委員會議
影片種類 Clip
開始時間 2025-03-17T11:54:37+08:00
結束時間 2025-03-17T12:04:37+08:00
影片長度 00:10:00
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/597499b2503050fb1b2fc81749f3fe0fad7e46c29134393cb6aeebfddff728ef7cccb990385a62e45ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 11:54:37 - 12:04:37
會議時間 2025-03-17T09:00:00+08:00
會議名稱 立法院第11屆第3會期社會福利及衛生環境委員會第3次全體委員會議(事由:邀請環境部部長、衛生福利部、教育部、經濟部、台灣電力公司、台灣中油公司就「氣象變異致國內空品惡化,精進預報與跨部會應變作為」進行專題報告,並備質詢。 【3月17日、19日及20日三天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 8.51909375
transcript.pyannote[0].end 10.27409375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 10.88159375
transcript.pyannote[1].end 13.26096875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 13.34534375
transcript.pyannote[2].end 13.69971875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 13.69971875
transcript.pyannote[3].end 13.75034375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 13.75034375
transcript.pyannote[4].end 13.90221875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 13.90221875
transcript.pyannote[5].end 13.91909375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 13.91909375
transcript.pyannote[6].end 13.93596875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 17.44596875
transcript.pyannote[7].end 18.17159375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 18.54284375
transcript.pyannote[8].end 19.30221875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 20.23034375
transcript.pyannote[9].end 21.37784375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 21.47909375
transcript.pyannote[10].end 22.77846875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 24.17909375
transcript.pyannote[11].end 26.10284375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 26.17034375
transcript.pyannote[12].end 26.54159375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 26.71034375
transcript.pyannote[13].end 27.38534375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 28.26284375
transcript.pyannote[14].end 29.24159375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 30.64221875
transcript.pyannote[15].end 32.34659375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 32.78534375
transcript.pyannote[16].end 34.77659375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 35.41784375
transcript.pyannote[17].end 36.63284375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 37.81409375
transcript.pyannote[18].end 47.93909375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 47.93909375
transcript.pyannote[19].end 48.32721875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 48.52971875
transcript.pyannote[20].end 48.73221875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 48.78284375
transcript.pyannote[21].end 50.06534375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 48.86721875
transcript.pyannote[22].end 56.22471875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 56.96721875
transcript.pyannote[23].end 60.96659375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 60.74721875
transcript.pyannote[24].end 76.25534375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 76.67721875
transcript.pyannote[25].end 78.02721875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 78.12846875
transcript.pyannote[26].end 81.28409375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 81.28409375
transcript.pyannote[27].end 99.89721875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 98.86784375
transcript.pyannote[28].end 103.22159375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 102.47909375
transcript.pyannote[29].end 102.81659375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 103.22159375
transcript.pyannote[30].end 111.52409375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 109.87034375
transcript.pyannote[31].end 114.78096875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 115.45596875
transcript.pyannote[32].end 115.47284375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 115.47284375
transcript.pyannote[33].end 116.21534375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 117.07596875
transcript.pyannote[34].end 117.09284375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 117.09284375
transcript.pyannote[35].end 117.26159375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 117.26159375
transcript.pyannote[36].end 117.64971875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 117.64971875
transcript.pyannote[37].end 117.66659375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 117.66659375
transcript.pyannote[38].end 117.70034375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 117.90284375
transcript.pyannote[39].end 117.93659375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 117.93659375
transcript.pyannote[40].end 118.66221875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 118.66221875
transcript.pyannote[41].end 118.79721875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 118.79721875
transcript.pyannote[42].end 118.84784375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 118.84784375
transcript.pyannote[43].end 118.96596875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 118.96596875
transcript.pyannote[44].end 119.03346875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 119.03346875
transcript.pyannote[45].end 119.21909375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 119.21909375
transcript.pyannote[46].end 119.40471875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 119.40471875
transcript.pyannote[47].end 119.45534375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 119.45534375
transcript.pyannote[48].end 119.79284375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 119.79284375
transcript.pyannote[49].end 119.80971875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 119.80971875
transcript.pyannote[50].end 119.99534375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 120.16409375
transcript.pyannote[51].end 121.49721875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 121.59846875
transcript.pyannote[52].end 123.10034375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 123.42096875
transcript.pyannote[53].end 126.01971875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 126.08721875
transcript.pyannote[54].end 128.39909375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 128.75346875
transcript.pyannote[55].end 133.96784375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 133.96784375
transcript.pyannote[56].end 134.42346875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 134.42346875
transcript.pyannote[57].end 134.44034375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 134.44034375
transcript.pyannote[58].end 134.79471875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 134.64284375
transcript.pyannote[59].end 143.94096875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 144.51471875
transcript.pyannote[60].end 147.80534375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 147.80534375
transcript.pyannote[61].end 163.78596875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 163.85346875
transcript.pyannote[62].end 166.14846875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 166.33409375
transcript.pyannote[63].end 176.69534375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 178.24784375
transcript.pyannote[64].end 179.47971875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 179.58096875
transcript.pyannote[65].end 180.74534375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 180.94784375
transcript.pyannote[66].end 190.04346875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 190.48221875
transcript.pyannote[67].end 191.83221875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 192.22034375
transcript.pyannote[68].end 192.25409375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 192.25409375
transcript.pyannote[69].end 202.56471875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 195.91596875
transcript.pyannote[70].end 196.69221875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 197.70471875
transcript.pyannote[71].end 198.26159375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 201.07971875
transcript.pyannote[72].end 201.68721875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 202.76721875
transcript.pyannote[73].end 208.65659375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 208.21784375
transcript.pyannote[74].end 215.25471875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 215.25471875
transcript.pyannote[75].end 222.98346875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 223.11846875
transcript.pyannote[76].end 224.48534375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 224.51909375
transcript.pyannote[77].end 228.02909375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 228.21471875
transcript.pyannote[78].end 229.95284375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 229.95284375
transcript.pyannote[79].end 237.27659375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 237.66471875
transcript.pyannote[80].end 242.00159375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 242.30534375
transcript.pyannote[81].end 245.69721875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 245.96721875
transcript.pyannote[82].end 247.43534375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 247.95846875
transcript.pyannote[83].end 251.62034375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 251.62034375
transcript.pyannote[84].end 259.88909375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 260.14221875
transcript.pyannote[85].end 272.24159375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 271.90409375
transcript.pyannote[86].end 273.18659375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 273.64221875
transcript.pyannote[87].end 284.96534375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 286.88909375
transcript.pyannote[88].end 286.93971875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 287.78346875
transcript.pyannote[89].end 290.58471875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 290.78721875
transcript.pyannote[90].end 292.89659375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 294.38159375
transcript.pyannote[91].end 294.98909375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 295.20846875
transcript.pyannote[92].end 296.32221875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 296.50784375
transcript.pyannote[93].end 305.02971875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 301.38471875
transcript.pyannote[94].end 301.77284375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 305.02971875
transcript.pyannote[95].end 305.63721875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 305.63721875
transcript.pyannote[96].end 305.67096875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 305.67096875
transcript.pyannote[97].end 305.70471875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 305.70471875
transcript.pyannote[98].end 305.75534375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 305.75534375
transcript.pyannote[99].end 305.83971875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 305.83971875
transcript.pyannote[100].end 308.40471875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 308.87721875
transcript.pyannote[101].end 312.30284375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 311.12159375
transcript.pyannote[102].end 313.56846875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 313.99034375
transcript.pyannote[103].end 317.38221875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 315.15471875
transcript.pyannote[104].end 315.67784375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 316.25159375
transcript.pyannote[105].end 316.30221875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 317.44971875
transcript.pyannote[106].end 324.03096875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 324.03096875
transcript.pyannote[107].end 324.25034375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 324.25034375
transcript.pyannote[108].end 325.02659375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 325.02659375
transcript.pyannote[109].end 328.09784375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 328.09784375
transcript.pyannote[110].end 328.13159375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 328.23284375
transcript.pyannote[111].end 331.64159375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 331.96221875
transcript.pyannote[112].end 332.94096875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 332.95784375
transcript.pyannote[113].end 333.04221875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 333.04221875
transcript.pyannote[114].end 338.56034375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 334.49346875
transcript.pyannote[115].end 335.08409375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 338.96534375
transcript.pyannote[116].end 343.23471875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 343.42034375
transcript.pyannote[117].end 344.93909375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 345.09096875
transcript.pyannote[118].end 345.59721875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 345.69846875
transcript.pyannote[119].end 345.96846875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 345.96846875
transcript.pyannote[120].end 346.17096875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 346.55909375
transcript.pyannote[121].end 346.59284375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 346.59284375
transcript.pyannote[122].end 351.50346875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 351.92534375
transcript.pyannote[123].end 353.03909375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 353.86596875
transcript.pyannote[124].end 364.37909375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 353.96721875
transcript.pyannote[125].end 355.43534375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 357.39284375
transcript.pyannote[126].end 358.42221875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 364.75034375
transcript.pyannote[127].end 368.02409375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 368.80034375
transcript.pyannote[128].end 369.18846875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 369.18846875
transcript.pyannote[129].end 373.25534375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 370.84221875
transcript.pyannote[130].end 371.51721875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 373.40721875
transcript.pyannote[131].end 373.89659375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 374.23409375
transcript.pyannote[132].end 374.67284375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 375.04409375
transcript.pyannote[133].end 375.63471875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 375.78659375
transcript.pyannote[134].end 376.34346875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 376.47846875
transcript.pyannote[135].end 376.51221875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 376.51221875
transcript.pyannote[136].end 376.96784375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 376.96784375
transcript.pyannote[137].end 378.62159375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 378.82409375
transcript.pyannote[138].end 378.84096875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 378.84096875
transcript.pyannote[139].end 381.43971875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 381.91221875
transcript.pyannote[140].end 384.89909375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 384.91596875
transcript.pyannote[141].end 385.94534375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 386.16471875
transcript.pyannote[142].end 391.02471875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 391.02471875
transcript.pyannote[143].end 391.96971875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 391.96971875
transcript.pyannote[144].end 391.98659375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 392.45909375
transcript.pyannote[145].end 392.49284375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 392.49284375
transcript.pyannote[146].end 405.11534375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 406.63409375
transcript.pyannote[147].end 408.87846875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 409.77284375
transcript.pyannote[148].end 411.74721875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 412.87784375
transcript.pyannote[149].end 417.36659375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 417.56909375
transcript.pyannote[150].end 420.10034375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 420.28596875
transcript.pyannote[151].end 421.31534375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 421.63596875
transcript.pyannote[152].end 424.65659375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 425.04471875
transcript.pyannote[153].end 429.60096875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 429.73596875
transcript.pyannote[154].end 434.37659375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 432.21659375
transcript.pyannote[155].end 432.73971875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 434.61284375
transcript.pyannote[156].end 435.06846875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 435.15284375
transcript.pyannote[157].end 445.02471875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 445.26096875
transcript.pyannote[158].end 446.17221875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 446.29034375
transcript.pyannote[159].end 450.49221875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 450.76221875
transcript.pyannote[160].end 451.87596875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 452.98971875
transcript.pyannote[161].end 465.32534375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 454.28909375
transcript.pyannote[162].end 455.79096875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 462.86159375
transcript.pyannote[163].end 464.17784375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 465.46034375
transcript.pyannote[164].end 470.28659375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 470.65784375
transcript.pyannote[165].end 472.83471875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 472.83471875
transcript.pyannote[166].end 474.96096875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 473.35784375
transcript.pyannote[167].end 475.63596875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 476.15909375
transcript.pyannote[168].end 478.87596875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 479.85471875
transcript.pyannote[169].end 482.50409375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 483.66846875
transcript.pyannote[170].end 484.93409375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 485.54159375
transcript.pyannote[171].end 492.10596875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 493.48971875
transcript.pyannote[172].end 496.67909375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 496.76346875
transcript.pyannote[173].end 498.16409375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 498.55221875
transcript.pyannote[174].end 501.82596875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 502.72034375
transcript.pyannote[175].end 505.65659375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 505.90971875
transcript.pyannote[176].end 517.31721875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 515.61284375
transcript.pyannote[177].end 516.91221875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 516.96284375
transcript.pyannote[178].end 522.64971875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 521.33346875
transcript.pyannote[179].end 524.28659375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 524.37096875
transcript.pyannote[180].end 531.03659375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 525.50159375
transcript.pyannote[181].end 526.00784375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 530.19284375
transcript.pyannote[182].end 531.05346875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 531.39096875
transcript.pyannote[183].end 533.85471875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 534.20909375
transcript.pyannote[184].end 535.52534375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 535.96409375
transcript.pyannote[185].end 543.96284375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 543.96284375
transcript.pyannote[186].end 552.26534375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 545.36346875
transcript.pyannote[187].end 547.48971875
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 551.28659375
transcript.pyannote[188].end 553.09221875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 553.39596875
transcript.pyannote[189].end 570.96284375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 570.96284375
transcript.pyannote[190].end 571.18221875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 571.18221875
transcript.pyannote[191].end 571.24971875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 571.24971875
transcript.pyannote[192].end 571.57034375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 571.57034375
transcript.pyannote[193].end 571.62096875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 571.62096875
transcript.pyannote[194].end 581.25659375
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 576.10971875
transcript.pyannote[195].end 576.39659375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 579.21471875
transcript.pyannote[196].end 580.04159375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 580.56471875
transcript.pyannote[197].end 591.93846875
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 592.49534375
transcript.pyannote[198].end 593.06909375
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 593.50784375
transcript.pyannote[199].end 595.27971875
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 595.71846875
transcript.pyannote[200].end 597.96284375
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 598.70534375
transcript.pyannote[201].end 598.89096875
transcript.whisperx[0].start 8.907
transcript.whisperx[0].end 13.769
transcript.whisperx[0].text 謝謝主席以及各位先進有請這個環境部的彭部長請部長賴委員好部長你好部長知道我們台灣的癌網是哪一個癌知道嗎肺癌肺癌對跟你有關係喔環境影響很大多少的而且女生比男生多女生你不抽菸
transcript.whisperx[1].start 37.984
transcript.whisperx[1].end 47.545
transcript.whisperx[1].text 怎麼會這樣子你剛才一提到有個事情我突然先一個小問題先請教你就是說熱水一開的時候那時候PM2.5很高對
transcript.whisperx[2].start 48.945
transcript.whisperx[2].end 76.076
transcript.whisperx[2].text 所以是不是有必要在我們的這個什麼頭就是那個敞篷頭裡面要過水加一個過濾的有沒有用啊報告委員那個是濕度讓我們空氣中更小的微粒長大變成PM2.5所以基本上那種我們家裡面多數家裡的空氣品質是好的但是因為濕度的關係讓PM2.5增多但是那個其實對我們身體是沒有危害的
transcript.whisperx[3].start 76.704
transcript.whisperx[3].end 81.866
transcript.whisperx[3].text 所以我們家不家那個什麼沒有關係沒有用因為我們家裡面本來就比較少所以委員剛剛你提到的說為什麼婦女因為我們家裡面台灣的習慣蒸煮炒炸例如說那樣的生活習慣在家裡面廚房的PM2.5其實也很高的所以其實我們家裡面很多的生活也會造成女性相對的比例會高一點所以你會鼓勵我們的這個婦女同胞少自己煮多點外賣
transcript.whisperx[4].start 104.516
transcript.whisperx[4].end 114.117
transcript.whisperx[4].text 不是我們的作息的方式例如說煮菜的方式可以轉變因為我們的如果是雜煎的回來看一下世界最大的排碳國是哪幾個國家
transcript.whisperx[5].start 115.789
transcript.whisperx[5].end 143.662
transcript.whisperx[5].text 呃中國第一名中國第二名美國第三名呃應該是印度印度這三個國而且這兩年印度跟中國大陸啊增加的很多那現在川普退出巴黎協定了請問什麼時候生效呃大概還要一年多的時間一年因為過去就是說一講要退出是三年了哦那大概這一次大概一年所以我們可以大概大家大概差不多
transcript.whisperx[6].start 144.602
transcript.whisperx[6].end 163.542
transcript.whisperx[6].text 今年底或是到明年初他會退出是不是對但是他的退出因為這個UFCCC他本來就是一個自我的承諾自己的要求那他們過去呢這個拜登總統也提出了美國的新的NDC他要減60%等於是跟2005年相比所以目前未來美國到底怎麼走我們也還在觀察
transcript.whisperx[7].start 163.902
transcript.whisperx[7].end 175.347
transcript.whisperx[7].text 可是現在一來的話大家都看得到啊這個巴黎協定本來說二兩千兩千一百年現在是二零二五兩千一百年全球plus1.5度以內
transcript.whisperx[8].start 179.031
transcript.whisperx[8].end 201.256
transcript.whisperx[8].text 這個大概普攻了吧氣候融資中斷了對貧窮國家拜登政府啊對貧窮國家提供一百一十億美金的融資也會中斷這些數據都對吧第一個是1.5度應該是失守了1.5是失守了但可能會到兩度到三度兩度到三度暗熱死 說暗熱
transcript.whisperx[9].start 203.136
transcript.whisperx[9].end 222.734
transcript.whisperx[9].text 當然對目前依照各個國家的減碳的路徑還是沒有辦法到鎖到一點呼吸那川普的退出協定會不會使這個雪上加霜更plus上去會不會呃應該會讓這個速度哦等於是說減碳的速度慢下來然後第二個是說我們的極端事件會持續的在增加
transcript.whisperx[10].start 223.795
transcript.whisperx[10].end 252.038
transcript.whisperx[10].text 這個會不會讓某種程度讓電動汽車的市場會稍微差一點以美國現在就是這個樣子現在那個不一樣了Tesla那個是因為很多人現在歐盟其實是恨美國的關稅的問題啊而且恨那個Elon Musk那個是另外一件事所以連帶影響他的銷售量這個影響是可能更大而不是這個原因我認為跟這個原因的影響度沒那麼大
transcript.whisperx[11].start 252.458
transcript.whisperx[11].end 259.593
transcript.whisperx[11].text 報告委員因為這個其實川普也改變了任何的對於這種環保車輛各種的補助這個也是原因之一啦
transcript.whisperx[12].start 260.262
transcript.whisperx[12].end 283.929
transcript.whisperx[12].text 所以就更加沒有希望1.5度已經破功了確定破功因為這是全球加起來例如說以中國來說的話他是2060年才要宣布淨零那個印度是2070年那我們什麼時候可以淨零我們現在是20我們當然是原的目標當然是2050年可以要希望達到淨零嘛那我們現在未來定到2035年希望可以減最多38加減2
transcript.whisperx[13].start 287.878
transcript.whisperx[13].end 312.152
transcript.whisperx[13].text 李遠哲前院長李遠哲院長說2050年絕對不可能淨零啦他這樣講欸你要不要挑戰一下包委員其實這個就是一個理想啦如果我們沒有一個淨零的目標我們現在就不用做了嘛所以就這樣我們一個理想一個目標所以你也同意李遠哲講到2050年達不到淨零啦對台灣來講非常辛苦因為這要別的工具請問美國2050年不能達到淨零
transcript.whisperx[14].start 314.033
transcript.whisperx[14].end 332.669
transcript.whisperx[14].text 美國有機會喔有機會台灣沒有機會台灣因為我們的這個地小人稠我們沒有那麼多負擔的這個量所以的確算是給你你又不是這樣回答你就說只要我彭某人當部長就有機會不會不會我包圍我2050我都退休了我不會做那麼久
transcript.whisperx[15].start 333.069
transcript.whisperx[15].end 342.297
transcript.whisperx[15].text 不一定做到那一年啦你前面規劃好後面就照著你路徑走啊不一定一定做在那個時候就是我這幾年認真規劃盤摸摸在規劃這個2050就有機會所以報告委員所以我規劃了203538加減2嘛38
transcript.whisperx[16].start 353.906
transcript.whisperx[16].end 356.488
transcript.whisperx[16].text 那我是2035喔2035等於是如果努力的話可以將近4成的減碳量未來10年可以減4成那我們的碳費300塊什麼時候開始課
transcript.whisperx[17].start 369.718
transcript.whisperx[17].end 390.851
transcript.whisperx[17].text 今年1月1號就開始課要不要因為川普這樣改變了不要不會確定喔確定確定不會改變喔對確定你知不知道探權教育現在目前情況怎麼樣探權教育目前只有自願性的減量多少你知道嗎非常的我們目前台灣的非常的還因為他只能自願性的什麼叫可能啦
transcript.whisperx[18].start 392.492
transcript.whisperx[18].end 405.064
transcript.whisperx[18].text 碳權交易他不是真正說我要買賣不是的是說國外有些的碳權拿來這裡類似股票籌碼一樣的炒作你知道嗎給你看碳權交易多少10萬台幣新台幣啊上一次6000過來4000
transcript.whisperx[19].start 412.912
transcript.whisperx[19].end 430.931
transcript.whisperx[19].text 那個交易所的時候 董事長來找我 我特別關心這一塊啊我特別關心這一塊 貪錢交易 貪錢交易因為這個又跟我們那個出口到歐盟去的西邊又有關係這個非常重要的一個 全世界都有這個貪錢交易所 結果台灣我說 貪錢交易啊 這怎麼是貪錢交易四千六千
transcript.whisperx[20].start 435.356
transcript.whisperx[20].end 439.218
transcript.whisperx[20].text 只有四千 你看2025年的1月7號一筆四千 一筆六千2024年12月一筆十萬那等於沒有了騙人的啊我們有探險教育喔喔喔喔 了不起喔這年排放喔都是欺騙社會
transcript.whisperx[21].start 453.032
transcript.whisperx[21].end 482.376
transcript.whisperx[21].text 包委員不能這樣說因為它是自願性的市場因為它是自願性撿到的市場我例如說我自己要宣告碳中和我可以跟他買所以這個的誘因不夠所以我們現在正在規劃總量管制的排放交易我記得啊你的前面好幾屆前面前面的長官啊那時候叫環保署有個署長叫小毛你知道嗎知道知道嗎沈世宏叫小毛我跟他談了幾次啊他念之再之就是怎麼樣建立我們的碳權交易所
transcript.whisperx[22].start 483.715
transcript.whisperx[22].end 491.966
transcript.whisperx[22].text 了不起啊 這裡面啊而且是法人才能夠交易喔 對不對對 這個是要重大的排放 其中有好幾筆就是省市總區交易的
transcript.whisperx[23].start 493.55
transcript.whisperx[23].end 521.356
transcript.whisperx[23].text 沈世宏啊你知道他念茲在茲當過環保署長老實說很了不起啊他一直覺得我們的為什麼貪權交易建立不起來呢因為公法人可以去他就成立個什麼協會聯盟然後就去買賣我們的貪權交易在市場裡面不要讓這個太難看要等於是ZERO啊難看得要死沒有人要推他是志願性的市場他這樣少應該是理所當然的
transcript.whisperx[24].start 522.837
transcript.whisperx[24].end 532.968
transcript.whisperx[24].text 我問你 你能不能推一推嗎我們現在正在規劃總量管制的排放交易希望從慢慢的從碳費過渡到總量管制的排放交易我不是朋友演會啦 但是我能不能夠拜託你給我們一份簡單的報告說怎麼來讓碳權交易這個市場火落 可以嗎
transcript.whisperx[25].start 542.879
transcript.whisperx[25].end 554.082
transcript.whisperx[25].text 可以 我們現在正在規劃希望明年下半年可以推出來明年下半年可以做這個事當然這涉及到很多法令的問題法令我們來修啊法令 探險教育何等重要然後你看從沈世宏2008年馬英九執政的時候那時候他當環保署長到現在我每次找他 他就跟我講這個事情每次找他就跟我講這個事情
transcript.whisperx[26].start 568.745
transcript.whisperx[26].end 589.999
transcript.whisperx[26].text 舉全世界各國的例子我覺得很棒啊我全力支持啊我那時候也是在讀這個探權教育的書啊那時候的讀書會跟省署長就在讀這個東西十幾年前就在讀這個書探權教育探權教育探權教育我在財務會老是盯這個事情看的東西心很酸啊因為這個教育規範誇是要這麼快拍拚一下謝謝委員支持 謝謝謝謝 謝謝賴委員 謝謝部長
transcript.whisperx[27].start 598.285
transcript.whisperx[27].end 598.353
transcript.whisperx[27].text 谢谢大家