共查询到20条相似文献,搜索用时 78 毫秒
1.
利用天津市某区2017年逐日、2017年7月逐时供水资料和气象资料,分析日、时供水量的变化特征及其与气象因子的关系,建立基于气象因子的日供水量预测模型。结果表明:夏季供水量最多,秋季、春季的次之,冬季的最少;日供水量存在明显的节假日效应,特别是在春节长假期间供水量下降明显。分析日供水量与气象因子的相关系数发现,除冬季外,日供水量与气温相关性较高,与其他气象因子相关系数季节差异明显。7月供水时变化特征主要受居民工作生活习惯影响,同一时次的供水量与蒸发量、相对湿度和整点气温相关性较高,但有明显的滞后性,13时的气象条件对全天总供水量影响较大。综合以上分析结论,建立多元回归日供水量预测模型。模型预测结果平均误差为1.48%,可作为日供水量预测参考依据。 相似文献
2.
3.
供水预测是区域水资源配置中的重要组成部分,供水预测结果直接决定着水资源配置结果。由于常规的预测方法不能适应区域的实际情况,因此在考虑水质和水权条件下,定义了可供水量概念,并结合区域实际情况,提出以可供水量预测为基础的供水预测的实际计算步骤和方法及遇到实际问题的解决方法。由该方法对新郑市供水进行预测,预测结果符合实际,可为新郑市水资源配置及水系规划提供参考依据。 相似文献
4.
区域水资源配置中供水预测计算方法研究 总被引:1,自引:1,他引:0
供水预测是区域水资源配置中的重要组成部分,供水预测结果直接决定着水资源配置结果。由于常规的预测方法不能适应区域的实际情况,因此在考虑水质和水权条件下,定义了可供水量概念,并结合区域实际情况,提出以可供水量预测为基础的供水预测的实际计算步骤和方法及遇到实际问题的解决方法。由该方法对新郑市供水进行预测,预测结果符合实际,可为新郑市水资源配置及水系规划提供参考依据。 相似文献
5.
6.
本文介绍了冬小麦、夏玉米在半干旱农业区各生育期需水量,实际供水量及供水不足对农作物相对产量影响程度的计算方法,并以此为依据对半于旱地区农业干旱程度进行定量判别。 相似文献
7.
根据克拉玛依近10年的供水逐日资料,分析了城市供水的季节分布特征以及与气象条件的相关关系,并建立了日供水量的简易预测方程。 相似文献
8.
9.
气候生产潜力的季节分配与玉米的最佳播期 总被引:8,自引:2,他引:8
本文将气候生产潜力划分为三个层次,即光能生产潜力、光温生产潜力和光温水生产潜力。应用基于供水量与需水量之比建立的光温水生产潜力,计算了北京地区不同播种期的玉米可能产量,得出明显的峰状曲线,其峰值及其相应的播种期即最佳播期均与栽培试验的结论非常一致,这表明气候生产潜力的理论可为农学中的适宜播期问题建立理论基础。 相似文献
10.
哈尔滨市城市发展与热岛效应的定量研究 总被引:3,自引:0,他引:3
利用1986-2005年哈尔滨市区、郊区的年均气温资料以及哈尔滨市发展强度资料,分析了哈尔滨近20 a来城市发展与热岛效应的关系。结果表明:哈尔滨市发展强度指标与热岛效应之间具有显著的正相关关系,工业生产总值、建成区面积、全年用电量、公共交通实有车辆、年末实有道路面积、全年供水量是使哈尔滨市产生热岛效应的主要因子。综合城市发展指数与哈尔滨市年热岛强度指数的相关系数为0.72,二者拟合曲线初具环境库兹涅茨曲线特征。 相似文献
11.
为了分析气象要素与供暖之间的关系,选取北京市观象台2009年供暖季期间日平均气温、相对湿度、日总辐射量、日平均风向和风速作为气象因子,将北京市海园物业供热单位的供、回水温度和供回水温度差代表供暖温度,进行了相关分析。结果表明,日平均气温与供、回水温度呈明显的负相关,分别达到-0.75和-0.62。日平均湿度与其的负相关次之,分别为-0.41和-0.47,日平均风速与上述供、回水温度的相关性较小。同时分析了各气象要素日平均值与供、回水温度及供回水温度差之间的对应关系,制定了各气象要素日平均值所对应的供、回水温度及其供回水温度差的表。利用各日平均气象要素的供回水温度调节运行作业表,各供暖单位可以根据不同天气条件直接定量控制供热量或下达供、回水温度指令。 相似文献
12.
13.
14.
利用2009年11月1日至2010年3月31日沈阳逐日6时次气温、气压、相对湿度、降水、风速、日照和云量等气象资料及同时间、同时次的供、回水温度等供暖资料,采用多元线性回归方法,建立供暖预报方程,制定供暖气象节能预报指数,并根据供暖指数大小确定供热量。结果表明:在确保室温达到18℃时,沈阳的供暖指数可以分为7级;供热量(即供、回水温度值)预报值与气温实况值相似度较高,而供热量实际值与气温实况值相差较大。在151 d的供暖期内,约60 d的供、回水温度与气温变化接近,占供暖日数的40%。采用供暖气象节能预报方法进行供暖,在改善供暖质量的同时也可达到节能减排的目的,可为供暖部门科学供暖、降低能耗提供科学依据。 相似文献
15.
Ka Lai Christine Ngai Brian J. Shuter Donald A. Jackson Sudeep Chandra 《Climatic change》2013,118(3-4):841-855
Predicted increases in atmospheric CO2 concentration are expected to cause increases in air temperatures in many regions around the world, and this will likely lead to increases in the surface water temperatures of aquatic ecosystems in these regions. Using daily air and littoral water temperature data collected from Lake Tahoe, a large sub-alpine lake located in the Sierra Nevada mountains (USA), we developed and tested an empirical approach for constructing models designed to estimate site-specific daily surface water temperatures from daily air temperature projections generated from a regional climate model. We used cluster analysis to identify thermally distinct groups among sampled sites within the lake and then developed and independently validated a set of linked regression models designed to estimate daily water temperatures for each spatially distinct thermal group using daily air temperature data. When daily air temperatures projections, generated for 2080–2099 by a regional climate model, were used as input to these group models, projected increases in summer surface water temperatures of as much as 3 °C were projected. This study demonstrates an empirical approach for generating models capable of using daily air temperature projections from established climate models to project site specific impacts on littoral surface waters within large limnetic ecosystems. 相似文献
16.
17.
18.
19.
A. F. G. Jacobs B. G. Heusinkveld J. P. Nieveen 《Theoretical and Applied Climatology》1998,59(1-2):121-127
Summary For many biological processes, the daily and seasonal behavior of the temperature of the water layer close to the water surface
is very important. An example is the development of larvas of mosquito species which develop in small still water bodies.
An outdoor experiment during a summer period of four months has been executed in a small water body situated within a bog
area, in order to obtain insight into the daily and seasonal temperature behavior of this water body.
The measurements show that during daytime a strong thermal stratification occurs in the water body and that during nighttime
a well mixed layer develops growing from the water surface. In the upper water layer a well developed daily temperature cycle
is present. This cycle is strongly reduced by depth. On average, the daily maximum water temperature excursion from the mean
agree with the daily maximum air temperature excursion from the mean. The range between maximum and minimum water temperature
correlate well with the daily global irradiation.
Received February 14, 1996 Revised May 21, 1997 相似文献
20.
Abstract A model that uses daily climate data for calculating hay crop growth in the Peace River region of British Columbia was developed and evaluated using data obtained over four growing seasons. The performances of the ratio of growth to transpiration and the ratio of growth to transpiration (J) divided by vapour pressure deficit (VPD) in estimating crop growth were compared. Transpiration was calculated by subtracting evaporation losses from the soil and foliage from the calculated evapotranspiration. Evapotranspiration was calculated using solar radiation and air temperature, and a one‐layer root zone water balance model, which accounted for soil water supply limitation. Soil water storage measurements showed that the water balance model worked well. The model provided satisfactory estimates of growing season yield of above‐ground dry matter. The use of the ratio of growth toT/ vpd showed no improvement in growth estimation over the ratio of growth to transpiration. 相似文献