本文应用多元回归的方法，对城市用水量进行预测。
This article applies the multiplelinearregression to forecast city water consumption.
采用混沌理论对城市用水量时间序列的混沌特性进行了判定。
The chaotic characters of time series of urban water consumption were judged using the chaos theory.
同时利用改进的季节性指数平滑法完成了对郑州市城市用水量的预测。
Using the improved seasonal exponential smoothing to finish the prediction of water consumption of Zhengzhou at the same time.
通过对城市用水量短期预测的实例研究，将改进算法与传统算法进行比较。
The improved method was compared with the traditional method in the case of short-term forecasting for urban water consumption.
大庆市城市用水量和污水排放量不断增加，造成水资源紧缺，环境污染日益严重。
The city water consumption and waste water discharge rises continuously in Daqing city, which has resulted in shortage of water resources and severe environment pollution.
城市用水量需求预测常见的方法有经验预测法、统计分析法、规划估算法、灰色预测法。
Common methods of urban water needs prediction are experience prediction, statistic analysis, planning estimate, and grey prediction.
指出每种方法的优缺点，城市用水量预测应根据实际情况选取预测方法。以郑州市为例，选取不同的方法进行预测及分析，结果表明郑州市2020年之前的用水量呈现非线性递增的趋势。
Taking Zhengzhou as an example, choosing different methods to predict and analyze, the results indicate the increasing trend of the water consumption before 2020 in the city.
为此，去年秋天通过了大量新法，要求在2020年以前将城市的用水量削减20%。
To that end, the raft of new laws passed last fall calls for cities to cut water use 20 percent by 2020.
菲什曼说，这样做比想方设法增加城市供水便宜多了——该市90%的用水量源自饱受干旱困扰的湖泊。
That's much cheaper, Fishman says, than figuring out how to pump more water into the city, which takes 90 percent of its water from a lake plagued with drought issues.
这座位于澳大利亚第二大城市中心的环保建筑消耗的能源只有普通办公大楼的15%，用水量只有30%左右。
The environmentally friendly building in the heart of Australia's second biggest city consumes only 15 percent of the energy of a regular office tower and about 30 percent of the water.
如果一个人从农村迁到了城市，仅是洗澡这一需求，他的用水量就将会提高28倍。
If a person moves from a rural area to an urban area, that person's need for water will increase by 28 times, largely just because of taking showers.
风暴发生之前这座城市有58000位居民；通过用水量来测算，可能有40%的人仍未返回。
Before the storm the city had 58,000 residents; based on water usage, perhaps 40% are still gone.
风暴发生之前这座城市有58000位居民；通过用水量来测算，可能有40%的人仍未返回。
Before the storm the city had 58, 000 residents; based on water usage, perhaps 40% are still gone.
此外，城市化的发展趋势和较发达地区人口的生活和生产用水增多也是导致用水量不断增加的原因。
Also, the trend towards urbanization and increases in domestic and industrial water use by people who live in more developed areas are factors that lead to growing water use.
其中一些已很明显，洛杉矶曾因太干旱而不能满足一个大城市人口所需的用水量，但美国人修建了东水西调的基础设施。
The area around Los Angeles was once too dry to sustain the population of a huge city. But infrastructure was built that allowed water to be pumped in from east of the region.
在所有千万人口城市中，北京人均用水量最少。
Of all the cities of over 10 million people, Beijing consumes the least amount of water per capita.
城市年用水量是一个齐次马尔可夫链。
A city's yearly water consumption is a homogeneous Markov chain.
将偏最小二乘回归与神经网络耦合，建立了城市生活用水量预测模型。
The paper establishes the model for the urban life-water quantity prediction by means of combining neural network with the partial least squares method.
城市生活用水量预测在城市水资源利用和节约用水规划管理中起着非常重要的作用。
The prediction of city municipal and domestic water consumption plays an important role in utilization of urban water resources.
人口的急剧集聚以及生活水平的快速提高，导致珠江三角洲地区的城市生活用水量非常大。
Rapid convergence of population and increase in standards of living result in huge urban domestic water consumption in Pearl River Delta region.
通过分析验证的结果，证明了本文提出的城市日用水量预测模型可行，采用BP、R BF和SVM法求解方法均能得到满意的效果。
Analysis of the experimental results proved that the model of urban water consumption prediction is feasible, the BP network, the RBF network and SVM all can get the satisfied result.
分项预测了山西未来若干年的工农业及城市生活用水量，并分析了有关的计算误差。
A current computer programme will be used to predict the water consumption oF Shanxi Province on all water using issues such as agriculture, industry and daily living in the future years.
用水量指标是城市给排水工程规划建设的基础，合理确定用水量标准十分重要。
Water consumption index is a basis for planning and construction of urban water supply and drainage projects and it is very important to set the proper standard for water consumption.
随着更多中国人涌入城市，占10%的家庭用水量可能会上升。
As more Chinese flock to cities, the 10 percent that goes to homes is likely to rise.
随着更多中国人涌入城市，占10%的家庭用水量可能会上升。
As more Chinese flock to cities, the 10 percent that goes to homes is likely to rise.
应用推荐