[1] Wang Zhonggen, Liu Changming, Wu Xianfeng. A review of the studies on distributed hydrological model based on DEM[J]. Journal of Natural Resources, 2003, 18(2):168-173. [王中根, 刘昌明, 吴险峰. 基于DEM的分布式水文模型研究综述[J].自然资源学报, 2003, 18(2):168-173.] [2] Tang Guoan, Zhao Mudan, Li Tianwen, et al. Modeling slope uncertainty derived from DEMs in Loess Plateau[J]. Acta Geographica Sinica, 2003, 58(6):824-830. [汤国安,赵牡丹,李天文,等. DEM提取黄土高原地面坡度的不确定性[J].地理学报, 2003, 58(6):824-830.] [3] Zhang Yong, Tang Guoan, Peng Qi. A mathematical simulation of DEM terrain representation error—A case study in the Loess Hill-gully areas of China [J]. Journal of Mountain Science, 2003, 21(2):252-256. [张勇, 汤国安, 彭奇. 数字高程模型地形描述误差的量化模拟——以黄土丘陵沟壑区的实验为例[J]. 山地学报, 2003, 21(2):252-256.] [4] Chen Rensheng, Kang Ersi, Yang Jianping. Application of Topmodel to simulate runoff from Heihe mainstream mountainous basin[J]. Journal of Desert Research, 2003, 23(4):428-434. [陈仁升, 康尔泗, 杨建平,等. Topmodel模型在黑河干流出山径流模拟中的应用[J]. 中国沙漠, 2003, 23(4):428-434.] [5] Georges-Marie Saulnier. Digital elevation analysis for distributed hydrological modeling: Reducing scale dependence in effective hydraulic conductivity value[J]. Water Resources Research, 1997, 33(9): 2 097-2 101. [6] David M Wolock,Curtis V Price. Effects of digital elevation model map scale and data resolution on a topography-based watershed model[J].Water Resources Research, 1994, 30(11): 3 041-3 052. [7] Baxter E Vieux. Distributed Hydrologic Modeling Using GIS[M]. Netherlands: Kluwer Academic Publishers, 2001. [8] Wang Junde. Statistic of Hydrology[M]. Nanjing: Hehai Unversity Press,1993.[王俊德. 水文统计[M] .南京:河海大学出版社, 1993.] [9] Hou Ruzhen, Zheng Kesheng. A theoretical study of raingauge network evaluation using information entropy[J]. Journal of Taiwan Water Conservancy, 2003,51(2):10-20. [侯如真, 郑克声. 讯息熵应用于雨量站网评估之理论探讨[J]. 台湾水利, 2003, 51(2):10-20.] [10] Chen Zhihua, Ding Guoping. Entropy-based approach to remove redundant monitoring wells in regional-scale groundwater system in Hebei plain, China[J].Earth Science—Journal of China University of Geosciences,2001,26(5):517-523.[陈植华, 丁国平. 应用信息熵方法对区域地下水观测网的优化研究[J]. 中国地质大学学报, 2001 , 26(5):517-523.] [11] Wang Dong, Zhu Yuansheng. Principle of maximum entropy and its application in hydrology and water resources[J]. Advances in Water Science, 2001, 12(3):424-430.[王栋, 朱元甡. 最大熵原理在水文水资源科学中的应用[J]. 水科学进展, 2001, 12(3): 424-430.] [12] Zhang Jiguo, Liu Xinren. Information entropy analysis on nonuniformity of precipitation distribution in time-space, I, basic concept and data analysis[J]. Advances in Water Science, 2000, 11(2):133-137.[张继国, 刘新仁. 降水时空分布不均匀性的信息熵分析(I)——基本概念与数据分析[J].水科学进展, 2000, 11(2): 133-137.] [13] Nilgun B Harmancioglu, Necdet Alpaslan. Water quality monitoring network design:A problem of multi-objective decision making[J]. Water Resources Bulletin, 1992, 28(1): 179-192. [14] Sevinc Ozkul,Nilgun B Harmnaciou, Vijay P Singh. Entropy-based assessment of water quality monitoring networks[J].Journal of Hydrologic Engineering, 2000, 5(1): 90-100. [15] Zhang Xuewen. Entropy of physical field and iIts self-minish[J]. Journal of Natural, 1986, 9(11):847-850.[张学文. 物理场的熵及其自发减小现象[J]. 自然杂志, 1986, 9(11):847-850.] |