發(fā)布時間：2018-10-30 15:36

【摘要】：流域編碼是以子流域劃分進(jìn)行流域相關(guān)研究的重要內(nèi)容。Pfafstetter流域編碼以編碼唯一、顧及流域拓?fù)潢P(guān)系及編碼效率高等優(yōu)點(diǎn)而被廣泛采用。本文在流域相關(guān)研究的分析范圍不斷增大、數(shù)據(jù)精度越來越高的需求背景下,以Pfafstetter編碼為基礎(chǔ),對流域編碼并行化方法進(jìn)行研究。首先,分析了Pfafstetter編碼不全面和碼位不一致的問題,改進(jìn)了Pfafstetter編碼規(guī)則;然后,從數(shù)據(jù)并行的角度,討論了并行計算環(huán)境下的數(shù)據(jù)劃分及并行化策略,進(jìn)而設(shè)計了流域編碼并行算法;最后,利用長江中上游流域SRTM數(shù)據(jù),在集群系統(tǒng)上對流域編碼并行算法的正確性和并行性能進(jìn)行了測試。實驗結(jié)果表明,本文設(shè)計實現(xiàn)的流域編碼并行算法可獲取與實際較為一致的計算結(jié)果,且提高了編碼計算效率,可為基于子流域劃分的流域分析并行化提供參考。
[Abstract]:Watershed coding is an important part of watershed classification. Pfafstetter watershed coding is widely used to encode only, take into account the advantages of basin topology and high coding efficiency. In this paper, based on Pfafstetter coding, the parallelization method of watershed coding is studied under the background of increasing analysis scope and increasing data precision. Firstly, the problems of incomplete Pfafstetter coding and inconsistent code points are analyzed, and the rules of Pfafstetter coding are improved. Then, from the point of view of data parallelism, the data partition and parallelization strategy in parallel computing environment are discussed, and the parallel algorithm of watershed coding is designed. Finally, the correctness and parallel performance of the parallel algorithm are tested on the cluster system using the SRTM data of the upper and middle reaches of the Yangtze River. The experimental results show that the proposed parallel algorithm of watershed coding is consistent with the actual results, and improves the efficiency of coding calculation. It can be used as a reference for the parallelization of watershed analysis based on sub-watershed division.
【作者單位】： 滁州學(xué)院安徽省地理信息集成應(yīng)用協(xié)同創(chuàng)新中心;
【基金】：國家自然科學(xué)基金項目(41201415) 教育部科學(xué)技術(shù)研究重點(diǎn)項目(212078) 測繪遙感信息工程國家重點(diǎn)實驗室開放基金項目(14I02) 滁州學(xué)院科研啟動基金項目(2014qd028)
【分類號】：P208;TP338.6

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 楊大文,李，

本文編號：2300416