IVOD_ID |
160327 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160327 |
日期 |
2025-04-17 |
會議資料.會議代碼 |
委員會-11-3-15-11 |
會議資料.會議代碼:str |
第11屆第3會期內政委員會第11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 |
11 |
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3會期內政委員會第11次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-04-17T10:01:01+08:00 |
結束時間 |
2025-04-17T10:09:28+08:00 |
影片長度 |
00:08:27 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/c2d17dc46794b9a45cb280cbb27c60df8e6452bc7faa753875aa7aeb25548b49438b110bf66173085ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
李柏毅 |
委員發言時間 |
10:01:01 - 10:09:28 |
會議時間 |
2025-04-17T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期內政委員會第11次全體委員會議(事由:邀請海洋委員會主任委員率同所屬列席報告業務概況,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
6.54471875 |
transcript.pyannote[0].end |
6.57846875 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
7.06784375 |
transcript.pyannote[1].end |
7.21971875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
10.22346875 |
transcript.pyannote[2].end |
12.29909375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
12.82221875 |
transcript.pyannote[3].end |
14.23971875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
19.40346875 |
transcript.pyannote[4].end |
19.85909375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
20.04471875 |
transcript.pyannote[5].end |
29.17409375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
23.67284375 |
transcript.pyannote[6].end |
23.77409375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
29.32596875 |
transcript.pyannote[7].end |
31.09784375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
31.30034375 |
transcript.pyannote[8].end |
41.89784375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
31.55346875 |
transcript.pyannote[9].end |
31.62096875 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
36.05909375 |
transcript.pyannote[10].end |
37.44284375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
42.18471875 |
transcript.pyannote[11].end |
45.30659375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
45.66096875 |
transcript.pyannote[12].end |
60.25784375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
60.66284375 |
transcript.pyannote[13].end |
63.21096875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
64.42596875 |
transcript.pyannote[14].end |
68.44221875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
69.37034375 |
transcript.pyannote[15].end |
74.39909375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
75.20909375 |
transcript.pyannote[16].end |
76.00221875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
76.42409375 |
transcript.pyannote[17].end |
77.04846875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
77.65596875 |
transcript.pyannote[18].end |
80.18721875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
80.84534375 |
transcript.pyannote[19].end |
82.92096875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
83.42721875 |
transcript.pyannote[20].end |
85.18221875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
85.78971875 |
transcript.pyannote[21].end |
86.36346875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
87.20721875 |
transcript.pyannote[22].end |
87.98346875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
88.81034375 |
transcript.pyannote[23].end |
94.53096875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
95.27346875 |
transcript.pyannote[24].end |
99.67784375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
100.20096875 |
transcript.pyannote[25].end |
102.95159375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
103.13721875 |
transcript.pyannote[26].end |
109.80284375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
110.03909375 |
transcript.pyannote[27].end |
113.97096875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
114.27471875 |
transcript.pyannote[28].end |
116.73846875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
117.22784375 |
transcript.pyannote[29].end |
121.19346875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
121.75034375 |
transcript.pyannote[30].end |
123.26909375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
124.38284375 |
transcript.pyannote[31].end |
125.63159375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
126.72846875 |
transcript.pyannote[32].end |
127.97721875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
129.07409375 |
transcript.pyannote[33].end |
130.08659375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
131.08221875 |
transcript.pyannote[34].end |
133.34346875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
133.68096875 |
transcript.pyannote[35].end |
138.01784375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
138.06846875 |
transcript.pyannote[36].end |
154.52159375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
155.39909375 |
transcript.pyannote[37].end |
160.20846875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
160.42784375 |
transcript.pyannote[38].end |
161.25471875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
161.77784375 |
transcript.pyannote[39].end |
168.37596875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
164.95034375 |
transcript.pyannote[40].end |
165.16971875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
167.36346875 |
transcript.pyannote[41].end |
172.47659375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
172.67909375 |
transcript.pyannote[42].end |
173.62409375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
174.28221875 |
transcript.pyannote[43].end |
187.15784375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
177.60659375 |
transcript.pyannote[44].end |
178.29846875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
178.70346875 |
transcript.pyannote[45].end |
178.97346875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
187.57971875 |
transcript.pyannote[46].end |
189.57096875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
190.16159375 |
transcript.pyannote[47].end |
197.89034375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
198.21096875 |
transcript.pyannote[48].end |
200.45534375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
200.86034375 |
transcript.pyannote[49].end |
203.42534375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
204.38721875 |
transcript.pyannote[50].end |
204.89346875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
205.24784375 |
transcript.pyannote[51].end |
207.27284375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
207.69471875 |
transcript.pyannote[52].end |
209.93909375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
211.06971875 |
transcript.pyannote[53].end |
213.60096875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
213.97221875 |
transcript.pyannote[54].end |
215.79471875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
216.50346875 |
transcript.pyannote[55].end |
220.26659375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
221.11034375 |
transcript.pyannote[56].end |
224.41784375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
225.05909375 |
transcript.pyannote[57].end |
228.43409375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
229.24409375 |
transcript.pyannote[58].end |
232.06221875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
232.53471875 |
transcript.pyannote[59].end |
234.47534375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
235.28534375 |
transcript.pyannote[60].end |
237.00659375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
237.56346875 |
transcript.pyannote[61].end |
240.98909375 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
242.92971875 |
transcript.pyannote[62].end |
248.07659375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
247.82346875 |
transcript.pyannote[63].end |
248.05971875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
248.07659375 |
transcript.pyannote[64].end |
248.17784375 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
248.17784375 |
transcript.pyannote[65].end |
248.24534375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
248.24534375 |
transcript.pyannote[66].end |
248.59971875 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
248.59971875 |
transcript.pyannote[67].end |
249.02159375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
249.02159375 |
transcript.pyannote[68].end |
251.53596875 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
249.08909375 |
transcript.pyannote[69].end |
249.74721875 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
252.73409375 |
transcript.pyannote[70].end |
255.99096875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
256.64909375 |
transcript.pyannote[71].end |
257.50971875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
258.55596875 |
transcript.pyannote[72].end |
262.50471875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
262.57221875 |
transcript.pyannote[73].end |
263.39909375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
263.88846875 |
transcript.pyannote[74].end |
264.68159375 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
265.86284375 |
transcript.pyannote[75].end |
269.57534375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
270.62159375 |
transcript.pyannote[76].end |
274.48596875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
276.08909375 |
transcript.pyannote[77].end |
277.77659375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
278.26596875 |
transcript.pyannote[78].end |
279.76784375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
279.97034375 |
transcript.pyannote[79].end |
284.61096875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
285.30284375 |
transcript.pyannote[80].end |
286.41659375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
287.24346875 |
transcript.pyannote[81].end |
290.01096875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
293.33534375 |
transcript.pyannote[82].end |
299.98409375 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
300.06846875 |
transcript.pyannote[83].end |
313.65284375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
311.77971875 |
transcript.pyannote[84].end |
312.06659375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
313.65284375 |
transcript.pyannote[85].end |
321.19596875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
321.85409375 |
transcript.pyannote[86].end |
328.60409375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
329.65034375 |
transcript.pyannote[87].end |
342.66096875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
341.09159375 |
transcript.pyannote[88].end |
343.38659375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
343.42034375 |
transcript.pyannote[89].end |
353.74784375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
352.34721875 |
transcript.pyannote[90].end |
356.53221875 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
355.11471875 |
transcript.pyannote[91].end |
357.32534375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
357.40971875 |
transcript.pyannote[92].end |
358.13534375 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
358.21971875 |
transcript.pyannote[93].end |
360.12659375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
359.92409375 |
transcript.pyannote[94].end |
360.49784375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
361.35846875 |
transcript.pyannote[95].end |
364.17659375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
364.56471875 |
transcript.pyannote[96].end |
366.06659375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
365.20596875 |
transcript.pyannote[97].end |
367.01159375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
367.50096875 |
transcript.pyannote[98].end |
368.91846875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
369.03659375 |
transcript.pyannote[99].end |
373.33971875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
369.81284375 |
transcript.pyannote[100].end |
370.85909375 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
373.22159375 |
transcript.pyannote[101].end |
373.60971875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
373.62659375 |
transcript.pyannote[102].end |
374.90909375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
375.97221875 |
transcript.pyannote[103].end |
379.17846875 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
380.35971875 |
transcript.pyannote[104].end |
385.20284375 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
385.75971875 |
transcript.pyannote[105].end |
391.51409375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
390.82221875 |
transcript.pyannote[106].end |
394.53471875 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
393.97784375 |
transcript.pyannote[107].end |
397.74096875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
395.00721875 |
transcript.pyannote[108].end |
403.98471875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
399.96846875 |
transcript.pyannote[109].end |
401.06534375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
401.25096875 |
transcript.pyannote[110].end |
416.97846875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
414.21096875 |
transcript.pyannote[111].end |
418.02471875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
418.73346875 |
transcript.pyannote[112].end |
428.26784375 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
428.47034375 |
transcript.pyannote[113].end |
435.42284375 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
435.79409375 |
transcript.pyannote[114].end |
450.66096875 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
451.03221875 |
transcript.pyannote[115].end |
455.35221875 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
455.67284375 |
transcript.pyannote[116].end |
465.89909375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
466.03409375 |
transcript.pyannote[117].end |
482.04846875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
474.30284375 |
transcript.pyannote[118].end |
476.12534375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
478.23471875 |
transcript.pyannote[119].end |
478.40346875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
478.62284375 |
transcript.pyannote[120].end |
478.65659375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
482.57159375 |
transcript.pyannote[121].end |
495.53159375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
494.38409375 |
transcript.pyannote[122].end |
495.46409375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
495.53159375 |
transcript.pyannote[123].end |
495.58221875 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
495.58221875 |
transcript.pyannote[124].end |
495.93659375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
495.59909375 |
transcript.pyannote[125].end |
503.78346875 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
503.86784375 |
transcript.pyannote[126].end |
504.66096875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
505.96034375 |
transcript.pyannote[127].end |
507.25971875 |
transcript.whisperx[0].start |
10.596 |
transcript.whisperx[0].end |
30.755 |
transcript.whisperx[0].text |
謝謝 有請管主委跟署長好 請主委跟署長委員好 肩負台灣的這個海岸安全而且有我們所有周邊的這些沿海的安全那我想海委會海巡署壓力非常的沉重 |
transcript.whisperx[1].start |
32.118 |
transcript.whisperx[1].end |
60 |
transcript.whisperx[1].text |
在這邊先給所有海巡署的同仁們加油我們還是希望站在執政黨的委員我們雖然在去年1月以及後來的復議案都沒有能夠成功把海委會海巡署相關的預算可以爭取下來但是我覺得我們必須要在這邊跟國人來講清楚這些預算去了哪這些預算發生什麼事 |
transcript.whisperx[2].start |
60.72 |
transcript.whisperx[2].end |
87.286 |
transcript.whisperx[2].text |
我先講海底電纜,每個人都在講海底電纜今年的1月3號有一艘克麥隆級的貨船它的拋錨導致海底電纜受損那很快的國防外交委員會的林義軍召委他就召開了這一個專案報告國安局提出幾點建議包含加強 |
transcript.whisperx[3].start |
90.383 |
transcript.whisperx[3].end |
109.349 |
transcript.whisperx[3].text |
電纜周邊的海域重點巡查這個是海巡署的工作完備海纜設施防護演練這個海巡署的工作推動國際交流提升合作聯防加強權宜輪檢管管制通報這也是海巡署的工作 |
transcript.whisperx[4].start |
110.168 |
transcript.whisperx[4].end |
129.873 |
transcript.whisperx[4].text |
很多海巡署的工作演完這一場專案報告之後呢1月21、1月22藍白漏葉表決通過史上最大筆的預算煽動案我講一下這個時序接下來2月25號又發生了一件 |
transcript.whisperx[5].start |
131.118 |
transcript.whisperx[5].end |
151.299 |
transcript.whisperx[5].text |
台澎三號海纜全面全段障礙經過經查之後是由多哥級的鴻泰號郵輪這台鴻泰號就是剛剛主委有跟其他委員討論到的權宜輪他不但有中國的這些身份之外他同時也有註冊台灣的 |
transcript.whisperx[6].start |
156.094 |
transcript.whisperx[6].end |
161.046 |
transcript.whisperx[6].text |
台灣是宏泰58那他在中國是金龍吧 |
transcript.whisperx[7].start |
161.8 |
transcript.whisperx[7].end |
187.89 |
transcript.whisperx[7].text |
他有很多個名字還有善美還有宏泰168跟宏泰58所以剛剛主委講到的這個必須要做這些我們在處理我們在處理上一個法案的時候我們有增加這些罰則他罰錢之外那我們希望還是要增加刑責針對這個蓄意用灰色手段在破壞台灣電纜的這些船隻接下來3月12號 |
transcript.whisperx[8].start |
190.236 |
transcript.whisperx[8].end |
215.251 |
transcript.whisperx[8].text |
我們給藍白一次復議機會那也給我們海巡署再一次機會我們能不能再把這些經費要回來3月12號總預算的復議案對不起我們還是沒有辦法得到國民黨跟民眾黨的支持所以我在這邊要問主委的是在這兩次預算案裡面被刪掉的預算裡面 |
transcript.whisperx[9].start |
216.55 |
transcript.whisperx[9].end |
240.775 |
transcript.whisperx[9].text |
我看到的資料是3減10億 凍結11億我想要重複一下 我記得我們在內政委員會我們守得很辛苦啊 我們努力的說服國民黨及內政委員會的委員不要刪凍這麼多我想請主席處長說明一下我們在內政委員會被刪除凍結的預算是多少 |
transcript.whisperx[10].start |
243.147 |
transcript.whisperx[10].end |
267.937 |
transcript.whisperx[10].text |
報告委員我們在內委會被刪減了1530萬1530萬但是我們到議員會的時候發生什麼事被刪了10.8億通山的部分被誰通山那時候就是民眾黨團有提一個通山決通山的提案就是這一份通山案通山海巡署15%的預算 |
transcript.whisperx[11].start |
272.745 |
transcript.whisperx[11].end |
289.078 |
transcript.whisperx[11].text |
凍結11億的預算就是這一份民眾黨在院會通山海巡署15%也就是10億的預算裡面再加上國民黨在內政委員會做了什麼決議 處長 |
transcript.whisperx[12].start |
293.476 |
transcript.whisperx[12].end |
320.079 |
transcript.whisperx[12].text |
國民黨委員在內政委員會做的刪除的決議不得留用刪除的預算不得留用的決議因為那個在通山裡面的話以前都有一個為了執行彈性嘛所以他有一個執行彈性然後今年的話他有限制通山部分的話取消留用的規定國民黨在內政委員會取消留用的規定台灣民眾黨在院會刪除15% |
transcript.whisperx[13].start |
321.92 |
transcript.whisperx[13].end |
328.326 |
transcript.whisperx[13].text |
也就是說你今年度可能要交的船會沒有辦法交船來主委這個是不是請你回應 |
transcript.whisperx[14].start |
330.331 |
transcript.whisperx[14].end |
354.009 |
transcript.whisperx[14].text |
各位委員報告刪掉的這10億多呢我們最後最後橋車來橋車去大概就是兩艘船沒辦法交船為什麼兩艘船沒有辦法交因為因為我們以前若是希望抬掉的錢我們有一個決議那個決議就是說我們可以去替代對我剛剛講過了嘛這個決議已經被國民黨委員在內政委員會決議拿掉了 |
transcript.whisperx[15].start |
357.472 |
transcript.whisperx[15].end |
383.778 |
transcript.whisperx[15].text |
拿掉了我們現在變成不能補回來不能補所以今年這兩隻船就沒辦法搞船但是他好了對不對他造好了對不對年底會造好年底造好但是依今年被30億的預算是沒有辦法交船的對那另外就是說其實最嚴重的也不是這個我們現在第一年齁七上八下還懸而未決的是那600多億怎麼辦 |
transcript.whisperx[16].start |
385.816 |
transcript.whisperx[16].end |
413.905 |
transcript.whisperx[16].text |
那六百多億萬一到時候真的必須刪然後分配而下來現在講的只有這個統三的啦還沒有包含六百多億還沒有包含六百多億行政院跟我們現在海委會還沒有辦法算出來到底六百多億海委會必須要被刪幾億嘛那可能是好幾十億就是我全部解凍都還不夠啦所以你解凍也沒辦法啦你不用解凍因為你解凍都要抬掉又不夠回來 |
transcript.whisperx[17].start |
415.566 |
transcript.whisperx[17].end |
435.139 |
transcript.whisperx[17].text |
海巡署是為國防的一部分國民黨加民眾黨這幾個預算的決議其實就是讓台灣的海巡讓台灣的國防敗卡了主委你同不同意這樣我剛剛有舉例譬如說我們的連江艦好了那我再舉例譬如說鴻泰鴻泰一艘船 |
transcript.whisperx[18].start |
436.62 |
transcript.whisperx[18].end |
440.786 |
transcript.whisperx[18].text |
要海底電纜 我首先在那裡你感到好 我一台大船去就有辦法把你抓到的時候還是兩台船就有辦法把你包抄 讓你跑不去的時候這兩台船就牽涉到 我斷纜的船抓得到嗎 |
transcript.whisperx[19].start |
451.101 |
transcript.whisperx[19].end |
459.83 |
transcript.whisperx[19].text |
那段時間是幾六千 甚至萬噸的 是貨輪啊我們的錢更大一代 也兩千噸 六百噸 最大一代四千噸但是我兩代過去的時候 你更大一代 不敢跟我說話的時候我可能也知道你會中嘛 這邊風態 我們就是去找他嘛我就不怕你走嘛 我知道你會中嘛 |
transcript.whisperx[20].start |
474.265 |
transcript.whisperx[20].end |
503.007 |
transcript.whisperx[20].text |
對 船上個人的安全設備我兩台船 我就有辦法抓斷纜船啊你現在兩台船沒辦法搞船 你看影響多大啊剛才我舉的連江艦的例子 一台船喔一台船 它就有辦法給陪伴抓 頭土魚抓得很高興啦抓到他的魚丸 要再叫管隊少這兩台船 你剛剛講的海底電纜跟漁民的安全都發生疑慮我們必須要跟國人說明清楚 謝謝 |
transcript.whisperx[21].start |
504.17 |
transcript.whisperx[21].end |
507.066 |
transcript.whisperx[21].text |
謝謝委員好 謝謝李博弈委員 |