| IVOD_ID |
165161 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/165161 |
| 日期 |
2025-11-06 |
| 會議資料.會議代碼 |
委員會-11-4-35-13 |
| 會議資料.會議代碼:str |
第11屆第4會期外交及國防委員會第13次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
4 |
| 會議資料.會次 |
13 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
35 |
| 會議資料.委員會代碼:str[0] |
外交及國防委員會 |
| 會議資料.標題 |
第11屆第4會期外交及國防委員會第13次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-11-06T11:16:15+08:00 |
| 結束時間 |
2025-11-06T11:23:08+08:00 |
| 影片長度 |
00:06:53 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/1b25429c8c6a3a8cbe6370665c3d62be91e8053ceea3e5d7614279fc610c108c058d39ead7a38cca5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
鄭天財Sra Kacaw |
| 委員發言時間 |
11:16:15 - 11:23:08 |
| 會議時間 |
2025-11-06T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期外交及國防委員會第13次全體委員會議(事由:邀請國防部部長顧立雄報告「因應無人載具大量投入現今戰場,國軍如何構建無人載具部隊及訓練規劃、裝備籌獲等具體做法」,並備質詢。) |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
2.59596875 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
3.01784375 |
| transcript.pyannote[1].end |
3.81096875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
9.78471875 |
| transcript.pyannote[2].end |
9.81846875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
10.12221875 |
| transcript.pyannote[3].end |
22.03596875 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
22.40721875 |
| transcript.pyannote[4].end |
25.86659375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
26.52471875 |
| transcript.pyannote[5].end |
27.85784375 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
28.38096875 |
| transcript.pyannote[6].end |
34.45596875 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
35.36721875 |
| transcript.pyannote[7].end |
44.09159375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
44.47971875 |
| transcript.pyannote[8].end |
47.12909375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
47.88846875 |
| transcript.pyannote[9].end |
49.06971875 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
49.42409375 |
| transcript.pyannote[10].end |
50.04846875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
50.57159375 |
| transcript.pyannote[11].end |
53.50784375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
54.09846875 |
| transcript.pyannote[12].end |
56.41034375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
57.11909375 |
| transcript.pyannote[13].end |
58.85721875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
59.43096875 |
| transcript.pyannote[14].end |
60.44346875 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
60.67971875 |
| transcript.pyannote[15].end |
61.60784375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
61.65846875 |
| transcript.pyannote[16].end |
62.82284375 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
63.36284375 |
| transcript.pyannote[17].end |
64.17284375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
64.93221875 |
| transcript.pyannote[18].end |
66.36659375 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
66.78846875 |
| transcript.pyannote[19].end |
71.07471875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
71.59784375 |
| transcript.pyannote[20].end |
73.13346875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
73.67346875 |
| transcript.pyannote[21].end |
75.51284375 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
76.20471875 |
| transcript.pyannote[22].end |
78.44909375 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
79.12409375 |
| transcript.pyannote[23].end |
80.69346875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
81.58784375 |
| transcript.pyannote[24].end |
83.00534375 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
83.30909375 |
| transcript.pyannote[25].end |
84.22034375 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
84.70971875 |
| transcript.pyannote[26].end |
92.26971875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
93.40034375 |
| transcript.pyannote[27].end |
95.88096875 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
96.33659375 |
| transcript.pyannote[28].end |
98.85096875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
99.28971875 |
| transcript.pyannote[29].end |
104.67284375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
105.22971875 |
| transcript.pyannote[30].end |
109.06034375 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
110.07284375 |
| transcript.pyannote[31].end |
111.38909375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
113.02596875 |
| transcript.pyannote[32].end |
115.21971875 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
115.97909375 |
| transcript.pyannote[33].end |
116.82284375 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
117.46409375 |
| transcript.pyannote[34].end |
118.89846875 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
119.32034375 |
| transcript.pyannote[35].end |
120.97409375 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
121.73346875 |
| transcript.pyannote[36].end |
131.79096875 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
131.84159375 |
| transcript.pyannote[37].end |
143.72159375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
144.32909375 |
| transcript.pyannote[38].end |
145.81409375 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
146.74221875 |
| transcript.pyannote[39].end |
149.61096875 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
150.21846875 |
| transcript.pyannote[40].end |
156.52971875 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
157.72784375 |
| transcript.pyannote[41].end |
159.29721875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
160.14096875 |
| transcript.pyannote[42].end |
164.05596875 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
164.95034375 |
| transcript.pyannote[43].end |
166.65471875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
167.39721875 |
| transcript.pyannote[44].end |
169.18596875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
169.65846875 |
| transcript.pyannote[45].end |
171.32909375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
171.51471875 |
| transcript.pyannote[46].end |
172.59471875 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
173.11784375 |
| transcript.pyannote[47].end |
176.34096875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
176.94846875 |
| transcript.pyannote[48].end |
177.89346875 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
178.58534375 |
| transcript.pyannote[49].end |
180.05346875 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
180.54284375 |
| transcript.pyannote[50].end |
183.22596875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
183.81659375 |
| transcript.pyannote[51].end |
185.26784375 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
185.77409375 |
| transcript.pyannote[52].end |
186.31409375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
186.55034375 |
| transcript.pyannote[53].end |
187.42784375 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
188.06909375 |
| transcript.pyannote[54].end |
189.11534375 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
189.72284375 |
| transcript.pyannote[55].end |
192.23721875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
192.65909375 |
| transcript.pyannote[56].end |
195.32534375 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
196.64159375 |
| transcript.pyannote[57].end |
198.48096875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
198.93659375 |
| transcript.pyannote[58].end |
200.60721875 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
201.16409375 |
| transcript.pyannote[59].end |
201.78846875 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
202.53096875 |
| transcript.pyannote[60].end |
203.00346875 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
203.56034375 |
| transcript.pyannote[61].end |
204.52221875 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
205.16346875 |
| transcript.pyannote[62].end |
205.58534375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
205.99034375 |
| transcript.pyannote[63].end |
208.96034375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
209.58471875 |
| transcript.pyannote[64].end |
210.71534375 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
211.18784375 |
| transcript.pyannote[65].end |
213.78659375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
214.27596875 |
| transcript.pyannote[66].end |
215.22096875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
216.62159375 |
| transcript.pyannote[67].end |
217.41471875 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
217.83659375 |
| transcript.pyannote[68].end |
219.42284375 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
219.69284375 |
| transcript.pyannote[69].end |
221.83596875 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
222.37596875 |
| transcript.pyannote[70].end |
224.31659375 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
224.73846875 |
| transcript.pyannote[71].end |
225.75096875 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
226.40909375 |
| transcript.pyannote[72].end |
231.72471875 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
232.14659375 |
| transcript.pyannote[73].end |
235.45409375 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
235.82534375 |
| transcript.pyannote[74].end |
238.45784375 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
239.25096875 |
| transcript.pyannote[75].end |
241.27596875 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
241.88346875 |
| transcript.pyannote[76].end |
249.78096875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
250.21971875 |
| transcript.pyannote[77].end |
256.32846875 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
257.17221875 |
| transcript.pyannote[78].end |
258.25221875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
258.64034375 |
| transcript.pyannote[79].end |
260.61471875 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
261.27284375 |
| transcript.pyannote[80].end |
262.11659375 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
263.16284375 |
| transcript.pyannote[81].end |
263.85471875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
264.63096875 |
| transcript.pyannote[82].end |
265.81221875 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
265.87971875 |
| transcript.pyannote[83].end |
271.70159375 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
272.14034375 |
| transcript.pyannote[84].end |
276.22409375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
276.64596875 |
| transcript.pyannote[85].end |
277.27034375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
277.45596875 |
| transcript.pyannote[86].end |
283.02471875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
283.24409375 |
| transcript.pyannote[87].end |
284.30721875 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
284.56034375 |
| transcript.pyannote[88].end |
292.18784375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
292.55909375 |
| transcript.pyannote[89].end |
294.11159375 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
294.88784375 |
| transcript.pyannote[90].end |
297.38534375 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
298.16159375 |
| transcript.pyannote[91].end |
298.75221875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
299.54534375 |
| transcript.pyannote[92].end |
305.06346875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
305.21534375 |
| transcript.pyannote[93].end |
314.69909375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
315.40784375 |
| transcript.pyannote[94].end |
318.04034375 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
318.63096875 |
| transcript.pyannote[95].end |
319.00221875 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
319.71096875 |
| transcript.pyannote[96].end |
320.41971875 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
320.70659375 |
| transcript.pyannote[97].end |
330.29159375 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
330.49409375 |
| transcript.pyannote[98].end |
331.20284375 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
332.41784375 |
| transcript.pyannote[99].end |
352.31346875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
336.60284375 |
| transcript.pyannote[100].end |
337.14284375 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
352.83659375 |
| transcript.pyannote[101].end |
357.08909375 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
357.08909375 |
| transcript.pyannote[102].end |
357.35909375 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
357.83159375 |
| transcript.pyannote[103].end |
364.22721875 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
364.86846875 |
| transcript.pyannote[104].end |
366.50534375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
367.02846875 |
| transcript.pyannote[105].end |
369.42471875 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
370.18409375 |
| transcript.pyannote[106].end |
370.75784375 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
371.53409375 |
| transcript.pyannote[107].end |
376.30971875 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
376.86659375 |
| transcript.pyannote[108].end |
380.54534375 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
380.96721875 |
| transcript.pyannote[109].end |
388.49346875 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
388.91534375 |
| transcript.pyannote[110].end |
391.78409375 |
| transcript.pyannote[111].speaker |
SPEAKER_01 |
| transcript.pyannote[111].start |
391.78409375 |
| transcript.pyannote[111].end |
403.91721875 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
391.80096875 |
| transcript.pyannote[112].end |
391.81784375 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
402.95534375 |
| transcript.pyannote[113].end |
411.20721875 |
| transcript.pyannote[114].speaker |
SPEAKER_01 |
| transcript.pyannote[114].start |
411.44346875 |
| transcript.pyannote[114].end |
412.37159375 |
| transcript.whisperx[0].start |
0.289 |
| transcript.whisperx[0].end |
20.882 |
| transcript.whisperx[0].text |
主席 各位委員 有請部長請郭部長部長好今天雖然不是跟你的職責 職長沒有直接關係了但是還是要先謝謝 |
| transcript.whisperx[1].start |
23.464 |
| transcript.whisperx[1].end |
45.664 |
| transcript.whisperx[1].text |
這個花蓮光復馬太安溪淹涉浮潰壩造成重大的傷亡以及家戶社區部落土地這個農田非常大的損失這個摧毀土石的淹埋我們很多的國軍在那邊這個 |
| transcript.whisperx[2].start |
47.987 |
| transcript.whisperx[2].end |
62.322 |
| transcript.whisperx[2].text |
支持救援救助非常非常的辛苦要代表謝謝我們所有的國軍那我們現在接下來還是要善後要去解決這個源頭 |
| transcript.whisperx[3].start |
66.946 |
| transcript.whisperx[3].end |
91.162 |
| transcript.whisperx[3].text |
上次我在對卓院長的質詢的時候當然我沒有針對部長來質詢是針對農業部跟經濟部那我們現在來看這個國外的案例我們這個現在這個菸社府當然這個汽水的含量沒有像之前那麼大 |
| transcript.whisperx[4].start |
94.425 |
| transcript.whisperx[4].end |
120.04 |
| transcript.whisperx[4].text |
這個造成的這些災害我們必須不要讓它再發生我們的國軍弟兄就可以不要再去那邊去救援所以我們看這個國際的三大案例第一個案例爆破開出人工易紅道這個是在蘇聯他們也是用這個 |
| transcript.whisperx[5].start |
121.966 |
| transcript.whisperx[5].end |
148.988 |
| transcript.whisperx[5].text |
龐大的工程以軍事的力量決定來去協助這個當然每個案例不同所以這個是用爆破的方式那如果要爆破的話當然如果國軍能夠支援當然是一種方式當然是不是要用爆破當然由專業的團隊另外去評估那另外一個案例開挖為主並向爆破為輔 |
| transcript.whisperx[6].start |
150.77 |
| transcript.whisperx[6].end |
175.669 |
| transcript.whisperx[6].text |
這個是這個大陸的一個方式他也是國軍來去協助那第三個案例完全用挖掘引流全部都用挖的這是美國的案例他是美國的陸軍工兵團他們去評估去評估 去協助 去了解整個狀況因為 |
| transcript.whisperx[7].start |
178.986 |
| transcript.whisperx[7].end |
201.256 |
| transcript.whisperx[7].text |
這個台灣多山中央山脈或海岸山脈當然我們也要去對未來對未來國軍能夠更了解我們的山林恐怕也是非常重要所以在美國的這個案例他就是完全用挖掘 |
| transcript.whisperx[8].start |
202.554 |
| transcript.whisperx[8].end |
214.874 |
| transcript.whisperx[8].text |
引流他也是用這個美國入軍的工兵團去評估之後然後怎麼樣去相關的人去包括機界因為 |
| transcript.whisperx[9].start |
216.65 |
| transcript.whisperx[9].end |
238.342 |
| transcript.whisperx[9].text |
挖土机啊大家以为挖土机直接不好载运其实是可以组装的其实是可以组装的所以这个部分怎么样去能够去协助因为现在是组则组则的单位是农业部啊他们什么都没有啊农业部而且是林务级啊就是林业署啊 |
| transcript.whisperx[10].start |
239.698 |
| transcript.whisperx[10].end |
260.199 |
| transcript.whisperx[10].text |
他們也不是這方面的專業他們也沒有相關很多的相關的這些設施包括這個直升機啊各方面他們都沒有啦所以這個部分當然內政部有一部分的直升機啦所以怎麼樣能夠共同的合作來去根本的去解決這個眼頭棉的 |
| transcript.whisperx[11].start |
263.22 |
| transcript.whisperx[11].end |
291.717 |
| transcript.whisperx[11].text |
一地震或是一颱風又要產生這些危害都是我們要去避免的部分所以在這樣的一個情形之下這個就讓我們的這個看國防部哪些軍種哪些單位可以去共同的去協助協助這個農業部這個是我的一個建議事實上 |
| transcript.whisperx[12].start |
292.637 |
| transcript.whisperx[12].end |
317.764 |
| transcript.whisperx[12].text |
以這個地形來講這個內政部的空巡總隊他們也上去過事實上這個地形也不是說完全都不能飛機不能直升機也不是完全都不能所以這個部分這個給國防部共同的去協助 |
| transcript.whisperx[13].start |
320.158 |
| transcript.whisperx[13].end |
330.81 |
| transcript.whisperx[13].text |
農業部及相關包括這個內政部相關的單位部長這個你再請相關的單位去評估啦好不好可以嗎 |
| transcript.whisperx[14].start |
333.099 |
| transcript.whisperx[14].end |
352.021 |
| transcript.whisperx[14].text |
我想國軍是作為一個協助的單位那這個應該要由這個專業的團隊去做完評估之後如果有需要國軍做協助的那國軍再根據這個評估再就我們這個能量所 |
| transcript.whisperx[15].start |
353.035 |
| transcript.whisperx[15].end |
370.292 |
| transcript.whisperx[15].text |
量能所及的這個範圍之內去做協助因為現在農業部他因為沒有相關的這些設施設備他就用他只能做的方式就是把現有的林道拓寬 |
| transcript.whisperx[16].start |
371.857 |
| transcript.whisperx[16].end |
390.506 |
| transcript.whisperx[16].text |
把現有的兩個林道望榮林道跟光復林道要拓寬那我認為這樣的做法是當然是其中一種做法但是我認為會對山林的水土的保持可能也有很大的影響所以我才會說國防部能夠去協助 |
| transcript.whisperx[17].start |
391.227 |
| transcript.whisperx[17].end |
409.177 |
| transcript.whisperx[17].text |
協助的話所以我想專業團隊評估是一件事國軍如何協助是一件事所以評估這件事情還是要由專業團隊來進行國軍是站在協助的角色我提的第三個案例就是完全是美國的陸軍去評估的這個給你做參考謝謝好 謝謝 |