Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
861908 | Procedia Engineering | 2012 | 5 Pages |
Abstract
Based on the daily data of temperature (T) and precipitation (P) of Heilongjiang River basin, Mann–Kendall test method, the linear least-squares regression model and hydrological statistical analysis methods were selected to analyze the variations of temperature, precipitation, and extreme events in Heilongjiang River. The results revealed that T had significant increasing trends, and annual P increased only in the lower reaches. The annual extreme low temperature (ELT) increased obviously. Both the annual extreme high temperature (EHT) had noticeable increasing trends. The outputs can provide a valuable theoretical basis for sustainable development and utilization of water resources in Heilongjiang River.
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