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今年汛期长江流域涝重于旱 中下游或发生较大洪水_我的网站

一 |     记者从长江防汛抗旱总指挥部了解到，预计今年汛期长江流域涝重于旱，长江中下游干流及洞庭湖、鄱阳湖两湖水系北部可能发生较大洪水。

二 |     

    Conceptual diagram of AI Photo: VCG
In a report released on Tuesday, the World Bank made an optimistic assessment that artificial intelligence (AI) could allow developing countries to do in a decade what might otherwise take a century. The report found that AI will throw developing economies a lifeline, and that the technology's greatest promise for developing countries lies not in replacing workers, but in amplifying what they can do.
While advanced economies are still debating whether AI will wipe out white-collar jobs, this report serves as a critical reminder that AI is not merely a force that replaces human labor. More importantly, it acts as an amplifier that unlocks growth potential.
For years, many assumed that AI penetration would primarily erode low- and mid-skilled jobs and widen development gaps among economies. Yet for most developing countries still undergoing digital transformation, AI represents far more than a choice between automation and human labor. It provides a cost-effective shortcut to remedy decades of digital infrastructure shortcomings. 
Many digital capabilities that once required massive capital investment, systematic infrastructure development and professional talent training can now be realized through open-weight AI tools. This dramatic reduction in technological barriers offers developing countries a rare chance to leapfrog stages of technological iteration and catch up with global development trends.
In China, this "amplification effect" is unfolding in various ways. Over the past few years, new professions built around human-AI collaboration have kept emerging, while the skill sets required for traditional jobs are evolving at a rapid pace. 
What matters even more is that China's unique AI development path carries special reference value for other developing countries. China has already integrated AI on a massive scale into core real-life scenarios spanning manufacturing, agriculture, healthcare and education, while continuously driving down the cost of access. 
According to CNBC, Chinese built AI models are gaining ground, and they are gaining traction as they narrow the performance gap with leading American rivals while remaining significantly cheaper to use. This model provides the most practical, accessible entry point for developing economies stepping into the AI era, rather than forcing them to chase unattainable, high-end technical standards that are out of their financial and operational reach.
With the rise of Chinese open-source and open-weight models, AI competition between China and the US has become a hot topic in the global technology landscape. Some in the West often frame this as a technological power tussle between two major countries, measured by model parameters, financing scale and semiconductor manufacturing precision. While such indicators reflect technological advancement, one shouldn't overlook the far more fundamental purpose of technology. The ultimate value of any technology lies in its ability to address shared global challenges and deliver tangible public benefits.
Many developing regions are still in the very early stages of digital transformation. Truly meaningful, impactful AI capability is never cutting-edge technology locked away in a laboratory. It is technology that can step out of the lab, root itself in local realities, and deliver inclusive, accessible solutions that help these countries cross the threshold of digital infrastructure at minimal cost. It is about bringing open-weight, user-friendly AI tools into the hands of ordinary people and companies.
When more developing economies are able to use AI as a lever to bridge their long-standing development gaps, the global digital divide will not be further widened by this new round of technological revolution. Instead, it will be gradually narrowed for the first time in decades. From this perspective, the outcome of global AI competition will not be determined by which country first reaches the ceiling of technological sophistication. The real decisive factor is which country can extend technological benefits to the broadest population groups and leverage AI to drive inclusive global growth.
。　　根据预测，2024年汛期长江流域气候年景总体偏差，涝重于旱，由于降水时空分布不均，可能出现旱涝并存局面。

三 | 6月到8月主汛期期间，流域降水量偏多，其中长江上游正常偏多5%～10%、长江中下游偏多10%以上，中游干流附近偏多可能达20%以上。　　水利部长江水利委员会副总工程师     陈桂亚：根据今年的长期预测，长江流域多雨期在长江中下游包括两湖地区，长江上游降雨基本正常。因此今年防汛的重点是在长江中下游干流及洞庭湖、鄱阳湖两湖水系。同时金沙江中下游也有可能发生阶段性的干旱。所以说要做好应对涝旱急转的准备工作。　　预计：未来7天，4月24日到25日长江干流以南自西向东有一次中雨、局地大雨的降水过程。4月28日起，长江流域开始新一轮降水过程。（总台央视记者 周伟     陈烨炜）。

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Published on:15:56:45