Results 71 to 80 of about 549 (129)
徐霞客遊記の基礎的研究（三） : 事類篇・洞（その１）<人文・社会科学> [PDF]
, 2017 textapplication/pdfdepartmental bulletin ...
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Shuitu Baochi Xuebao, 2020 喀斯特槽谷区在降雨过程中极易发生水土流失，这使得该区生态环境被破坏。以喀斯特槽谷区为研究对象，通过室内模拟其典型顺/逆层坡面特征及地下孔裂隙发育程度，利用人工降雨试验研究不同雨强条件下地表地下产流特征，从而揭示喀斯特槽谷区地表地下产流机制。结果表明：（1）喀斯特槽谷区地表地下产流受雨强影响，小雨强（30 mm/h）条件下地下产流量大于地表产流量，中雨强（60 mm/h）条件下地表产流量增大且裸坡条件下地表产流量大于地下产流量，大雨强（90 mm/h）条件下裸坡与顺层坡的地表产流量均大于地下产流量。（2 ...
覃自阳, 甘凤玲, 何丙辉
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An evaluation of semidistributed-pipe-network and distributed-finite-difference models to simulate karst systems. [PDF]
Hydrogeol J, 2021 Gill LW +4 more
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[Recalling the history of the prevention and treatment during the epidemics of four infectious diseases, including botulism in Xinjiang]. [PDF]
Zhonghua Gan Zang Bing Za Zhi, 2023 Zhao FX, Lu XB, Fu WH, Dilixiati-Yakepu.
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A Research Based on 2DPCA of handwritten digit recognition [PDF]
, 2013 二维主元素分析(2dPCA)是基于二维图像,而不是像PCA一样基于一维的向量化图像,是一种用于人脸识别中的典型的特征提取技巧,与传统的PCA方法相比,它具有更高的识别率和更短的特征提取时间。运用2dPCA的手写体数字识别方法,与PCA方法在误识率上进行了数值对比试验。然后,在特征提取阶段进行改进,它是一个样本图像分组策略,称之为nETPCA,此方法比较好的综合了统计特征和结构特征两种提取方法。Two-dimensional principal component analysis(2DPCA) is ...
卢琳璋, 田咏梅
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Study on the characteristics and mechanism of antibiotic pollution in different aquifers [PDF]
The risk posed by antibiotics in various aquifers has attracted wide attention. This study investigated the pollution characteristics and controlling factors of antibiotics in different types of aquifers, and identified the indicator factors of ...
Fei LIU, Jialin WANG, Jinwei PAN
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Shuitu Baochi Xuebao, 2022 侵蚀性降雨是引起喀斯特黄壤坡面水土流失的主要动力因子。采用贵州省遵义市浒洋水流域2018—2020年4个径流小区92次侵蚀性降雨产流产沙实测数据,研究次降雨条件下,裸露坡面和块石出露小区对产流产沙的影响。结果表明:(1)侵蚀性降雨可以分为A、B、C 3类,A类降雨是造成喀斯特黄壤坡面土壤侵蚀的主要雨型。侵蚀性降雨的标准为次降雨量＞6.6 mm或I30＞3.6 mm/h。(2)裸露坡面63.27%的侵蚀性降雨径流深＜0.4 mm,66.30%的侵蚀性降雨土壤流失量＜1 g/m2 ...
陈磊 +5 more
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Breathing New Life into Old Theories [PDF]
, 2016 Various models and theories have been applied in tourism studies, and almost all the classic theories are derived from Western studies but their application is not only limited to that context.
Joppe, Marion, Shen, Ye (Sandy)
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Shuitu Baochi Xuebao[目的] 当前研究主要关注非喀斯特地区长时间尺度频率研究,对喀斯特不同降雨等级下的水化学采样频率研究不足,喀斯特小流域不同降雨等级水化学的最优采样频率尚不明确。[方法] 利用黔中高原典型喀斯特小流域在2022年6月至2023年7月不同降雨等级(大暴雨、大雨、中雨)间隔1 h的高频电导率(EC)数据,重采样为2~15 h的低频数据后,结合多种评价指标和突变点理论,确定喀斯特小流域不同降雨等级下水化学的最优采样频率。[结果] (1)喀斯特小流域受地质背景影响,水化学响应降雨呈现暴涨暴落特征 ...
方长敏 +6 more
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