[1] Intergovernmental Panel on Climate Change (IPCC). Contribution of Working Group II to the Fifth Assessment Report. Cambridge, UK: Cambridge University Press, 2013 [2] Zhao Y, Zou X, Gao J, et al. Quantifying the anthropogenic and climatic contributions to changes in water discharge and sediment load into the sea: A case study of the Yangtze River, China. Science of the Total Environment, 2015, 536: 803-812 [3] Wang GQ, Zhang JY, Jin JL, et al. Assessing water resources in China using PRECIS projections and VIC model. Hydrology & Earth System Sciences Discussions, 2012, 16: 231-240 [4] Oguntunde PG, Abiodun BJ, Lischeid G. Rainfall trends in Nigeria, 1901-2000. Journal of Hydrology, 2011, 411: 207-218 [5] Chen M (陈 明), Kou W-H (寇雯红), Li Y-H (李玉环), et al. Impacts of climate change on maize potential productivity in Northeast China and the simulation of control measures: A case study of Jilin Province, China. Chinese Journal of Applied Ecology (应用生态学报), 2017, 28(3): 821-828 (in Chinese) [6] Ochieng J, Kirimi L, Mathenge M. Effects of climate variability and change on agricultural production: The case of small scale farmers in Kenya. NJAS-Wageningen Journal of Life Sciences, 2016, 77: 71-78 [7] Luo W-B (罗文兵), Wang X-G (王修贵), Luo Q (罗 强). Comparison of methods for calculating farmland drainage modulus. Transactions of the Chinese Society of Agricultural Engineering (农业工程学报), 2013, 29(11): 85-91 (in Chinese) [8] Wang J (王 娟). Runoff Yield and Concentration Simulation in the Plain Area. PhD Thesis. Naijing: Hohai University, 2007 (in Chinese) [9] Horton RE. The role of infiltration in the hydrologic cycle. Eos, Transactions American Geophysical Union, 1933, 14: 446-460 [10] Rui X-F (芮孝芳), Ling Z (凌 哲), Liu N-N (刘宁宁), et al. Origin of Xin’anjiang model and its further development. Advances in Science and Technology of Water Resources (水利水电科技进展), 2012, 32(4): 1-5 (in Chinese) [11] Sivapalan M, Beven K, Wood EF. On hydrologic similarity: 2. A scaled model of storm runoff production. Water Resources Research, 1987, 23: 2266-2278 [12] Luo W-S (雒文生), Hu C-Q (胡春歧), Han J-T (韩家田). Research on a model of runoff yield reflecting excess infiltration and excess storage simultaneously. Journal of Soil and Water Conservation (水土保持学报), 1992, 6(4): 6-13 (in Chinese) [13] Bao W-M (包为民), Wang C-L (王从良). A vertically-mixed runoff model and its application. Hydrology (水文), 1997(3): 18-21 (in Chinese) [14] Dams J, Nossent J, Senbeta TB, et al. Multi-model approach to assess the impact of climate change on runoff. Journal of Hydrology, 2015, 529: 1601-1616 [15] Zhang L-R (张利茹), Guan Y-Q (管仪庆), Ye B (叶 彬), et al. Empirical study on parameter sensiti-vity analysis of Xin’anjiang model. Water Resources and Power (水电能源科学), 2008, 26(5): 16-17 (in Chinese) [16] Song X-M (宋晓猛), Kong F-Z (孔凡哲), Zhan C-S (占车生), et al. Sensitivity analysis of hydrological model parameters using a statistical theory approach. Advances in Water Science (水科学进展), 2012, 23(5): 642-649 (in Chinese) [17] Song M-D (宋明丹), Feng H (冯 浩), Li Z-P (李正鹏), et al. Global sensitivity analyses of DSSAT-CERES-Wheat model using Morris and EFAST methods. Transactions of the Chinese Society for Agricultural Machinery (农业机械学报), 2014, 45(10): 124-131 (in Chinese) [18] Zhao D-Q (赵冬泉), Dong L-Y (董鲁燕), Wang H-Z (王浩正), et al. Global sensitivity analysis of a rainfall-runoff model using continuous simulation. Acta Scientiae Circumstantiae (环境科学学报), 2011, 31(4): 717-723 (in Chinese) [19] Xu C-G (徐崇刚), Hu Y-M (胡远满), Chang Y (常禹), et al. Sensitivity analysis in ecological modeling. Chinese Journal of Applied Ecology (应用生态学报), 2004, 15(6): 1056-1062 (in Chinese) [20] He L-H (何丽鸿), Wang H-Y (王海燕), Lei X-D (雷相东). Parameter sensitivity of simulating net primary productivity of Larix olgensis forest based on BIOME-BGC model. Chinese Journal of Applied Ecology (应用生态学报), 2016, 27(2): 412-420 (in Chinese) [21] Harrold TI, Sharma A, Sheather S. Selection of a kernel bandwidth for measuring dependence in hydrologic time series using the mutual information criterion. Stochastic Environmental Research & Risk Assessment, 2001, 15: 310-324 [22] Knowlton, Robert G, Ii A. Testing for input-output dependence in performance assessment models. Metho-dology, 2003, 2: 882-887 [23] Gong W (龚 伟). Watershed Model Uncertainty Ana-lysis Based on Information Entropy and Mutual Information. PhD Thesis. Beijing: Tsinghua University, 2012 (in Chinese) [24] Li C, Wang W, Xiong J, et al. Sensitivity analysis for urban drainage modeling using mutual information. Entropy, 2014, 16: 5738-5752 [25] Marino S, Hogue IB, Ray CJ, et al. A methodology for performing global uncertainty and sensitivity analysis in systems biology. Journal of Theoretical Biology, 2008, 254: 178-196 [26] Tianjin Municipal Water Management Bureau (天津市水利局). Tianjin Plain Farmland Drainage Hydrology Handbook. Tianjin: Tianjin Municipal Water Management Bureau, 2003 (in Chinese) [27] Verbist K, Cornelis WM, Schiettecatte W, et al. The influence of a compacted plow sole on saturation excess runoff. Soil & Tillage Research, 2007, 96: 292-302 [28] Zeng X, Wang D, Wu J. Sensitivity analysis of the probability distribution of groundwater level series based on information entropy. Stochastic Environmental Research & Risk Assessment, 2012, 26: 345-356 [29] The Ministry of Water Resources of the People’s Republic of China (中华人民共和国水利部). Code for Design of Irrigation and Drainage (GB 50288-99). Beijing: China Planning Press, 1999 (in Chinese) [30] General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China (中华人民共和国国家质量监督检验检疫总局). Standard for Hydrological Information and Hydrological Forecasting (GB/T 22482-2008). Beijing: China Standards Press, 2008 (in Chinese) [31] Tianjin Municipal Administrative Center of Hydrology and Water Resources (天津市水文水资源勘测管理中心). Tianjin Rainstorm Atlas. Tianjin: Tianjin Municipal Administrative Center of Hydrology and Water Resources, 2015 (in Chinese) |