Browse content similar to 02/09/2017. Check below for episodes and series from the same categories and more!
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This is BBC World News Today. I'm Alpa Patel - Our top stories: | :00:00. | :00:09. | |
Flooding across South Asia is affecting more | :00:10. | :00:11. | |
Our correspondent has been to Bihar, one of the worst-hit | :00:12. | :00:15. | |
The water was above his head and came washing through here. You can | :00:16. | :00:32. | |
see that it is absolutely terrible, the mud left behind. | :00:33. | :00:37. | |
President Trump has made another visit the Houston Texans to talk to | :00:38. | :00:42. | |
some of the flood victims. The UN says nearly 60,000 | :00:43. | :00:47. | |
Rohingya Muslims have fled into Bangladesh from Myanmar | :00:48. | :00:49. | |
in the past week - bringing So many people were killed. They set | :00:50. | :00:57. | |
fire to everything. I just ran. They were shooting at us. I got hit. | :00:58. | :01:02. | |
There were some people whose throat was slashed with knives. | :01:03. | :01:05. | |
A master class in the wet - as Lewis Hamilton becomes the record | :01:06. | :01:09. | |
Hello and welcome to World News Today. | :01:10. | :01:26. | |
Aid agencies say around 45 million people across South Asia are now | :01:27. | :01:31. | |
affected by catastrophic flooding. More than 1400 people | :01:32. | :01:33. | |
are known to have died is warning that the floodwaters | :01:34. | :01:35. | |
are becoming a breeding ground for deadly diseases - | :01:36. | :01:39. | |
including malaria. The aid agency says many remote | :01:40. | :01:41. | |
communities are completely cut off - are now sleeping on roadsides | :01:42. | :01:44. | |
and in makeshift shelters in India, The BBC's Justin Rowlatt, | :01:45. | :01:56. | |
sent this report from Bihar Where we're going can | :01:57. | :01:59. | |
only be reached by boat. The only dry place for miles around | :02:00. | :02:12. | |
is on top of this great embankment, but the embankment that now protects | :02:13. | :02:15. | |
the villagers is the reason the floods had such | :02:16. | :02:18. | |
a catastrophic impact. The torrential rains transformed | :02:19. | :02:25. | |
the normally placid river, So what happened, the embankment | :02:26. | :02:27. | |
holding back the river breached and the water came crashing in here, | :02:28. | :02:30. | |
sweeping away half the village, devastating their homes, | :02:31. | :02:33. | |
devastating their lives. TRANSLATION: It felt | :02:34. | :02:46. | |
like we were hit by an ocean of water, I just ran for my life, | :02:47. | :02:49. | |
taking my children with me. This man showed me what the floods | :02:50. | :02:52. | |
had done to his home. So, he said the whole place | :02:53. | :03:07. | |
was flooded with water. The water was above his head | :03:08. | :03:22. | |
and came washing through here. You can see, it's just left | :03:23. | :03:24. | |
absolutely terrible mud behind. So, he says for three | :03:25. | :03:27. | |
days they had no food at all and then some people | :03:28. | :03:29. | |
came, bringing food. He said there wasn't enough room | :03:30. | :03:31. | |
to stay on the embankment so he had to bring his family down here, | :03:32. | :03:44. | |
including his three-year-old child. It is Eid today, one | :03:45. | :03:46. | |
of the great festivals of Islam. Like most of the village, | :03:47. | :03:50. | |
this family is Muslim. For the first time since | :03:51. | :03:52. | |
the catastrophe they are having meat, but there was little | :03:53. | :03:54. | |
appetite for celebration. Tens of thousands of communities | :03:55. | :03:59. | |
across South Asia have similar stories of horror | :04:00. | :04:01. | |
and destruction to tell. The only good news here, is that | :04:02. | :04:08. | |
everyone in this village survived. Well Justin Forsyth is from Unicef - | :04:09. | :04:11. | |
he outlined the challenges Well, we have over 45 million people | :04:12. | :04:21. | |
affected by these floods, and 16 million children in dire need | :04:22. | :04:31. | |
of humanitarian aid. The biggest need is to make | :04:32. | :04:35. | |
sure that the waterborne But we also need to be aware that | :04:36. | :04:38. | |
many of the people in these areas, in remote areas of India and Nepal, | :04:39. | :04:49. | |
Bangladesh, our farmers and they've So we have to look at nutritional | :04:50. | :04:52. | |
needs as well, particularly for very I mean, this part of the world has | :04:53. | :04:59. | |
monsoons every year. These monsoons are the worst ones | :05:00. | :05:02. | |
that we have seen for decades It's going to get worse before it | :05:03. | :05:05. | |
gets better by the end of October. Already, 45 million people | :05:06. | :05:12. | |
are severely affected. In India, we know the Indian | :05:13. | :05:13. | |
military has a strong But Nepal, for example, | :05:14. | :05:19. | |
is still recovering after the earthquake, | :05:20. | :05:26. | |
in Bangladesh a third I've been out in some of these | :05:27. | :05:27. | |
remote areas in Bihar Communities are resilient, | :05:28. | :05:33. | |
but they've been knocked sideways This is about eight times the scale | :05:34. | :05:36. | |
of Harvey in America. We've seen the terrible shots | :05:37. | :05:43. | |
and pictures, I live here in the US and it has really moved all of us, | :05:44. | :05:46. | |
the scale of that. But this is much, much bigger, | :05:47. | :05:52. | |
with with weaker capabilities. So it is going to take a big effort | :05:53. | :05:57. | |
to make sure we meet the basic needs of millions andmillions of children | :05:58. | :06:01. | |
and their families. And on the subject of Harvey - | :06:02. | :06:03. | |
President Trump and his wife Melania It's their second visit | :06:04. | :06:08. | |
to Texas in a week. They have been spending the day | :06:09. | :06:12. | |
speaking to survivors and also meeting some of the emergency | :06:13. | :06:15. | |
workers helping with the rescue Here's a little of what | :06:16. | :06:18. | |
the President had to say Really, I think people | :06:19. | :06:21. | |
appreciate what's been done. It's been done very | :06:22. | :06:31. | |
efficiently, very well, We are very happy with the way | :06:32. | :06:33. | |
everything has gone. As tough as this was, | :06:34. | :06:36. | |
it's been a wonderful thing. I think even for the country to | :06:37. | :06:47. | |
watch, and for the world to watch. I'm going to be doing | :06:48. | :06:50. | |
a little help over here. Mr Trump mentioned he was about to | :06:51. | :07:06. | |
start helping. And here he is serving meals at a shelter. During | :07:07. | :07:12. | |
his first visit to Texas on Tuesday, this week come he came in for some | :07:13. | :07:15. | |
criticism when he only met officials. Our correspondent is in | :07:16. | :07:20. | |
Houston and gave us more details about the President's second visit. | :07:21. | :07:22. | |
When he came at the beginning of the week he didn't come | :07:23. | :07:25. | |
to Houston, he went to a different part of Texas, because then | :07:26. | :07:28. | |
Houston was underwater, in the midst of this great | :07:29. | :07:30. | |
emergency, he didn't want to disrupt that. | :07:31. | :07:32. | |
Now that the waters have receded, he is here to visit survivors, | :07:33. | :07:35. | |
He stopped at an evacuation or relief centre. | :07:36. | :07:38. | |
He visited parents and children in a play area. | :07:39. | :07:41. | |
He went to the food line, he handed out some food. | :07:42. | :07:43. | |
The response, you know, people welcomed him. | :07:44. | :07:45. | |
The whole tone of this trip, I think, is to show a real kind | :07:46. | :07:52. | |
of hands-on, personal presidential approach to the suffering that has | :07:53. | :07:55. | |
been caused from this storm come on the one hand. | :07:56. | :08:04. | |
-- been caused from this storm, on the one hand. | :08:05. | :08:06. | |
But also to reinforce the fact, what he has been saying all week | :08:07. | :08:10. | |
is that the Government will support the victims and will come | :08:11. | :08:12. | |
He has just come to Houston off the back of having asked Congress | :08:13. | :08:18. | |
for the first tranche of what is going to be billions | :08:19. | :08:20. | |
and billions of dollars to deal with the result of the hurricane. | :08:21. | :08:23. | |
And Barbara, will they be able to free up that money, | :08:24. | :08:26. | |
given the debt ceiling is an issue here? | :08:27. | :08:28. | |
Well, yes, the problem with that is that the Government | :08:29. | :08:30. | |
runs out of the ability to borrow money at the end of September, | :08:31. | :08:33. | |
That has to be raised, and that is often quite | :08:34. | :08:41. | |
If it's not raised, even the money that is allocated | :08:42. | :08:46. | |
Alongside the request to Congress for the money, | :08:47. | :08:49. | |
the nearly $8 billion, the White House did say we want | :08:50. | :08:52. | |
that debt ceiling raised and we want this bill, | :08:53. | :08:54. | |
this legislation passed as quickly as possible. | :08:55. | :08:56. | |
Don't link them together in any sort of political battle. | :08:57. | :08:58. | |
There is quite a responsive attitude in Congress in terms of allocating | :08:59. | :09:01. | |
this initial amount of money at the very least. | :09:02. | :09:03. | |
I think we will see a vote on that next week. | :09:04. | :09:16. | |
We can stay in Houston. There you can see President Trump. He is just | :09:17. | :09:23. | |
about to board Air Force One. He'll be travelling from Houston to | :09:24. | :09:28. | |
Louisiana, another area affected by Harvey. We shall see in the coming | :09:29. | :09:32. | |
hours what he has to say there. Let's get more on this. We can speak | :09:33. | :09:39. | |
to Peter Daly, a flood risk expert in the US, who joins us now from | :09:40. | :09:44. | |
California. Thank you for joining us. Flooding, undoubtedly the | :09:45. | :09:48. | |
biggest challenge here. How do you assess and calculate the damage? | :09:49. | :10:02. | |
What we do is to provide estimates of potential economic and insured | :10:03. | :10:06. | |
losses for major events such as Harvey. The way we go about that is | :10:07. | :10:10. | |
the first assess the hazard, which would be the level of flooding you | :10:11. | :10:15. | |
would expect in the Houston area. As well as the winds and the storm | :10:16. | :10:20. | |
surges that we got along the coastline. Combined with our | :10:21. | :10:24. | |
knowledge of the relationship between the floodwaters and the | :10:25. | :10:27. | |
amount of damage that will cause. INAUDIBLE | :10:28. | :10:33. | |
We will have calculations for all of the properties across Texas. We | :10:34. | :10:37. | |
developed an estimate of the total insured damage. We start with the | :10:38. | :10:43. | |
economic damage. Which would be the amount of property lost and the | :10:44. | :10:47. | |
amount of money it would take to reconstruct those properties. We're | :10:48. | :10:50. | |
having some trouble with your line. We will stick with it for the | :10:51. | :10:55. | |
moment. It estimated 80% of people affected by these floods don't have | :10:56. | :11:03. | |
insurance. Could you tell us why? In the US the private flood insurance | :11:04. | :11:11. | |
INAUDIBLE Most people in the US purchase their | :11:12. | :11:16. | |
flood insurance from the National programme, which is offered by the | :11:17. | :11:17. | |
government. Part of the reason for the low | :11:18. | :11:24. | |
take-up rate, which would be the amount of insurance purchased by | :11:25. | :11:27. | |
homeowners and business owners, which would be as a result of the | :11:28. | :11:32. | |
recognition of the risk. Unless you live in a high risk zone, and in | :11:33. | :11:37. | |
some places you are required by the bank to purchase flood insurance for | :11:38. | :11:41. | |
your mortgage, a lot of people don't recognise the amount of flood risk | :11:42. | :11:46. | |
they have. They are not living on the coastline or near a river, so | :11:47. | :11:49. | |
they don't recognise that a storm like Harvey can cause significant | :11:50. | :11:56. | |
damage from a flood. What will happen to the people in this | :11:57. | :12:01. | |
scenario who don't have insurance? That is a concern. As was mentioned | :12:02. | :12:06. | |
by your earlier interview. The programme is up for reauthorisation | :12:07. | :12:11. | |
at the end of this month. For the people who don't have flood | :12:12. | :12:15. | |
insurance, they will have other areas they can resort to. For | :12:16. | :12:19. | |
example, a small business not covered by flood insurance may have | :12:20. | :12:25. | |
the ability to take out a low interest loan with a small business | :12:26. | :12:28. | |
Administration. There will be other forms of help. But the fact the | :12:29. | :12:34. | |
flood insurance take-up is relatively low means the recovery | :12:35. | :12:42. | |
rate could be slow, given the fact they won't be ready to make the | :12:43. | :12:46. | |
repairs straight from the proceeds of flood insurance. Experts are | :12:47. | :12:52. | |
saying we are likely to see more and more of these intense storms hitting | :12:53. | :12:57. | |
parts of the US. Given what you are saying do you think people should be | :12:58. | :13:03. | |
made to have flood insurance? This will be a debate that will be in | :13:04. | :13:10. | |
Congress this month as they re-evaluate the programme. From a | :13:11. | :13:15. | |
scientific point of view, what we are really interested in is | :13:16. | :13:21. | |
understanding the best way to get the word out to insurance companies | :13:22. | :13:28. | |
of what that is. You will see more private flood insurance offered in | :13:29. | :13:31. | |
states like Florida and Texas where the risk is high. Consumers and | :13:32. | :13:38. | |
homeowners will have the ability to purchase flood insurance more | :13:39. | :13:41. | |
readily from the open market. They will have more options in terms of | :13:42. | :13:47. | |
insurance products. With a storm like Harvey it brings to the | :13:48. | :13:50. | |
forefront of the real issue of flood risk. What we would expect is for | :13:51. | :13:57. | |
the take-up rates to increase. And so hopefully when the next major | :13:58. | :14:01. | |
flood occurs there will be a more direct transfer of risk to the | :14:02. | :14:05. | |
insurance market. And more of a return to the insured. So that will | :14:06. | :14:12. | |
allow for the recovery to move a little bit more quickly. I am glad | :14:13. | :14:15. | |
the line improved us that interview went on. Thank you very much for | :14:16. | :14:17. | |
being with the BBC. Let's take a look at some of | :14:18. | :14:18. | |
the other stories making the news. Some militants have died during an | :14:19. | :14:27. | |
attack at a power station. The assault began in the early hours | :14:28. | :14:32. | |
when armed men wearing explosives entered the plant and took workers | :14:33. | :14:35. | |
captive. Several civilians also died. The group which calls itself | :14:36. | :14:40. | |
Islamic State is believed to be behind the attack. | :14:41. | :14:41. | |
The Mexican President, Enrique Pena Nieto, says | :14:42. | :14:43. | |
he wants to continue talks with the United States | :14:44. | :14:45. | |
But he says he will not accept any proposal that goes against Mexico's | :14:46. | :14:49. | |
It was his first state of the union address | :14:50. | :14:52. | |
since President Trump came to power, who promised to build a wall along | :14:53. | :14:56. | |
the southern US border and to make Mexico pay for it. | :14:57. | :15:08. | |
The authorities in the German city of Frankfurt have been evacuating | :15:09. | :15:14. | |
patients from two hospitals and head of the planned disposal of a huge | :15:15. | :15:22. | |
Second World War bomb. Several thousands of people will have to | :15:23. | :15:28. | |
evacuate their homes after it was discovered on a building site. | :15:29. | :15:31. | |
The United Nations says nearly 60,000 Rohingya Muslims have fled | :15:32. | :15:33. | |
from Myanmar to Bangladesh to escape spiralling violence. | :15:34. | :15:35. | |
It's after Rohingya militants attacked police | :15:36. | :15:37. | |
According to the campaign group, Human Rights Watch, | :15:38. | :15:40. | |
new satellite imagery shows more than seven hundred homes have been | :15:41. | :15:42. | |
Sanjoy Majumder sent us this report from a refugee camp - | :15:43. | :15:50. | |
Exhausted and traumatised after escaping death. | :15:51. | :16:02. | |
Many of these Rohingyas have walked for hours | :16:03. | :16:04. | |
across hills, and wading through paddy fields | :16:05. | :16:05. | |
to avoid border patrols before making it here. | :16:06. | :16:07. | |
These are fresh arrivals, Rohingyas who have just arrived after | :16:08. | :16:10. | |
crossing the border, and with every passing hour, there are | :16:11. | :16:12. | |
There is absolutely no space left any more, | :16:13. | :16:23. | |
so they are just living on any piece of open ground | :16:24. | :16:26. | |
they can find, and many of them have the most disturbing | :16:27. | :16:28. | |
I meet a man who is nursing a bullet wound in his foot. | :16:29. | :16:34. | |
He tells me that his village, just across | :16:35. | :16:36. | |
the border, was attacked, allegedly by the Myanmar military and | :16:37. | :16:38. | |
TRANSLATION: So many people were killed. | :16:39. | :16:49. | |
They were shooting at us and I got hit. | :16:50. | :16:53. | |
There were people whose throats were slashed with knives. | :16:54. | :17:05. | |
From inside the state, the scars of violence. | :17:06. | :17:12. | |
This is where the Myanmar military has been carrying out a | :17:13. | :17:21. | |
Following an attack last week and dozens of | :17:22. | :17:31. | |
The situation seems to be one where it is rapidly sliding towards a | :17:32. | :17:36. | |
Significant areas of the state are on fire. | :17:37. | :17:42. | |
As for those who have managed to flee the fighting, they | :17:43. | :17:45. | |
are building temporary shelters and trying to make a home for | :17:46. | :17:47. | |
Bangladesh, after initially trying to stop them, is | :17:48. | :17:55. | |
For the survivors, this represents freedom. | :17:56. | :17:59. | |
It has come at a cost, and they are still uncertain | :18:00. | :18:02. | |
Stay with us on BBC World News, still to come... | :18:03. | :18:17. | |
Grand slam motherhood, the tennis world congratulates Serena Williams | :18:18. | :18:22. | |
as she gives birth to her daughter. This is BBC World News Today - | :18:23. | :19:34. | |
The latest headlines: Flooding in South Asia has left 1400 | :19:35. | :19:48. | |
people dead and 45 million displaced or homeless. | :19:49. | :19:53. | |
President Trump pays another visit to Texas, this time calling on | :19:54. | :19:57. | |
Congress to approve nearly $8 billion in aid. Kenya's deputy | :19:58. | :20:04. | |
president has called on the Electoral Commission to set a date | :20:05. | :20:08. | |
for fresh presidential elections after the Supreme Court overturned | :20:09. | :20:12. | |
last month's vote. It's the first time a legal challenge to a | :20:13. | :20:15. | |
presidential vote has been successful anywhere in Africa. | :20:16. | :20:20. | |
President Kenyatta also lashed out at the court's decision, calling the | :20:21. | :20:26. | |
judges Crooks, and said the country has a problem with its judiciary. | :20:27. | :20:33. | |
Our correspondent is following developments from Nairobi and gave | :20:34. | :20:35. | |
this assessment of President Kenyatta's reaction. | :20:36. | :20:40. | |
That news has not gone down well. He has called the judges Crooks. He | :20:41. | :20:44. | |
even said after the elections are done he will come back and deal with | :20:45. | :20:49. | |
these judges. It isn't clear what that means. But he isn't happy. The | :20:50. | :20:54. | |
Supreme Court judges have gone against the will of the people, he | :20:55. | :20:58. | |
said. He said the people voted for him and the supreme judges have | :20:59. | :21:03. | |
stood in the way. Looking at the way the previous elections were | :21:04. | :21:07. | |
organised, there was a lot of strain and scrutiny when it came to the | :21:08. | :21:11. | |
Electoral Commission. They have two months to put these collections | :21:12. | :21:15. | |
together. I think they will feel like even those two months will not | :21:16. | :21:20. | |
be enough for them. They will try to maximise on that little time to be | :21:21. | :21:24. | |
able to put it together. Looking at the system, is it going to be a | :21:25. | :21:28. | |
repeat of the electronics system which has been blamed for what we | :21:29. | :21:33. | |
have just seen, or will the electoral system revert to a manual | :21:34. | :21:38. | |
system, or even a mix of the two, it remains to be seen how that will go. | :21:39. | :21:41. | |
Lewis Hamilton has set a new pole position record in reaching his 69th | :21:42. | :21:52. | |
career pole. Breaking the previous landmark set by Michael Schumacher | :21:53. | :21:57. | |
in treacherous conditions. He was more than a second quicker than his | :21:58. | :22:00. | |
nearest rival. He will be hoping to take over Sebastian Vettel's in the | :22:01. | :22:04. | |
championship. Back in June, before the Azerbaijan | :22:05. | :22:16. | |
Grand Prix, he said he could easily continue in the sport. Possibly | :22:17. | :22:20. | |
until the age of 40. He is now 32. He said he wants to hunt down more | :22:21. | :22:29. | |
records, including Michael Schumacher's, who has seven titles. | :22:30. | :22:33. | |
If he went on for another eight years he would pretty much have to | :22:34. | :22:36. | |
win the world title every other season to beat Michael Schumacher. | :22:37. | :22:41. | |
There are not any big records a good imminently break. The other one of | :22:42. | :22:45. | |
interest is race wins, held by Michael Schumacher, who has a 33 | :22:46. | :22:52. | |
more than Lewis Hamilton. If he got ten a year it would take another | :22:53. | :22:57. | |
three years. He is expected to sign a new contract with Mercedes. He | :22:58. | :23:01. | |
could achieve the title of getting the most race wins, but I'm not sure | :23:02. | :23:07. | |
he will get to those seven. Because you have other drivers like | :23:08. | :23:10. | |
Sebastian Vettel who has four world titles. He could get more because he | :23:11. | :23:14. | |
is staying at Ferrari for three years. It would be very difficult | :23:15. | :23:17. | |
for the Lewis Hamilton to break the other records of Michael Schumacher. | :23:18. | :23:25. | |
Shane Duffy opened the scoring for Ireland early on, but things were | :23:26. | :23:38. | |
level not long after. Ben Woodburn has just scored from a strike from | :23:39. | :23:42. | |
the edge of the area. The match between Croatia and Kosovo | :23:43. | :24:10. | |
was abandoned because of bad weather. Riyad Mahrez was missing | :24:11. | :24:19. | |
from played today. He was released by Algeria early in the week to try | :24:20. | :24:26. | |
to serve out his possible transfer, but he wasn't even on the bench as | :24:27. | :24:29. | |
Zambia move into second place. At the US Open in New York Rafael | :24:30. | :24:39. | |
Nadal and Roger Federer are due to play their third round matches | :24:40. | :24:46. | |
later. Top seed Rafael Nadal will play Maya. Action is well underway. | :24:47. | :25:06. | |
The world number eight will next face either Roberta and Mr Battut or | :25:07. | :25:14. | |
Juan Martin Del Potro. The 23 time grand slam champion, | :25:15. | :25:33. | |
Serena Williams, has given birth to a baby girl at a clinic in Florida. | :25:34. | :25:39. | |
Sports stars and celebrities have sent their congratulations. No name | :25:40. | :25:43. | |
yet. She says she plans to return to tennis for the Australian Open. What | :25:44. | :25:48. | |
are the odds on her winning that? Back to you. | :25:49. | :25:50. | |
Thanks very much. Don't forget you can get | :25:51. | :25:51. | |
in touch with me and some of the team on Twitter - | :25:52. | :25:54. | |
I'm @AlpaPatel. That is it from me and the team. | :25:55. | :25:57. | |
Goodbye for now. A lovely start to the weekend with | :25:58. | :26:14. | |
the exception of some sharp showers in East Anglia. Most places dry with | :26:15. | :26:20. | |
sunshine. Sunshine will be harder to come by tomorrow. | :26:21. | :26:22. |