In this paper, the carrying capacity of regional water resource was analyzed and evaluated with the method of main component analysis, according to water resources statistics data of Xian city.
运用主成分分析法对区域水资源承载力进行分析评价，评价结果客观地反映了西安市及各区的水资源开发利用状况。
Lastly, the feasibility and validity of the model was validated with the past years surface water resource quantity time series data from Kenswat Station on Xinjiang Manas River.
最后，以玛纳斯河肯斯瓦特站历年的年径流资料验证时间序列人工神经网络预测模型的可行性与有效性。
Integrating hydrology data and weather data, the impacts of temperature and precipitation on elements of water resource were studied using mathematics analysis methods.
结合水文数据与气象数据，运用数学分析的方法研究了气温和降水对水文水资源要素的影响。
Based on hydrochemical data of water samples from each water-bearing stratum, a discernment model of mine shaft water resource outburst is established using fuzzy comprehensive evaluation.
根据各含水层水样的水化学资料，用模糊综合评判方法建立矿井突水水源判别模型，并通过与其它方法对比，效果较。
SERVIR captures images and environmental data, like dangerous weather and changes in water resource use.
SERVIR能够捕获图像和环境数据，例如危险天气以及水资源利用的变化。
Accuracy of the data is high and achievement is reliable, can make the basis that water resource plans in future.
选用资料精度较高、分析成果可靠，可以做为今后时期水资源规划的基础。
Remote sensing with characteristics of short period, rich information, and low cost, provided rich data source to hydrology and water resource studies.
遥感数据具有周期短、信息量大和成本低的特点，为水文水资源研究提供了丰富的数据源。
The data of underground water resource in the arid aeolian sand region of Ningxia is limited; the coefficient of rainfall infiltration only can be decided through observing and verifying.
宁夏中部干旱风沙区地下水资料相对较少，只能采用现场观测与验证结合的方式进行确定。
The programmer can calculate and give results to model data automatically, thereby implementing the automatization for water resource recovery and management.
通过计算机程序设计自动实现模型数据的计算和求解，进而实现水资源恢复与管理的自动化。
Numerous, multi-resource and real-time requirements are the character data in the water conservancy.
“海量”、“多源”以及“实时”要求是水利领域数据的特点。
Numerous, multi-resource and real-time requirements are the character data in the water conservancy.
“海量”、“多源”以及“实时”要求是水利领域数据的特点。
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