Spatio-temporal changes and their relationship in water resources and agricultural disasters across China

References

• Alan, D.Z., et al., 2003. Detection of intensification in global- and continental-scale hydrological cycles: temporal scale of evaluation. Journal of Climate, 16, 535–547. doi:10.1175/1520-0442(2003)0162.0.CO;2
   Web of Science ®Google Scholar
• Allen, M. and Ingram, W.J., 2002. Constraints on future changes in climate and the hydrologic cycle. Nature, 419, 224–232. doi:10.1038/nature01092
   PubMed Web of Science ®Google Scholar
• Asadieh, B. and Krakauer, N.Y., 2017. Global change in streamflow extremes under climate change over the 21st century. Hydrology and Earth System Sciences, 21, 5863–5874. doi:10.5194/hess-21-5863-2017
   Web of Science ®Google Scholar
• Ashfaq, M., et al., 2011. Impact of climate change on wheat productivity in mixed cropping system of Punjab. Soil & Environment, 30 (2), 110–114. doi:10.1590/S0100-29452011005000080
   Web of Science ®Google Scholar
• Bao, Z., et al., 2012. Attribution for decreasing streamflow of the Haihe River basin, northern China: climate variability or human activities? Journal of Hydrology, 460–461 (3), 117–129. doi:10.1016/j.jhydrol.2012.06.054
   Web of Science ®Google Scholar
• De Wrachien, D., Ragab, R., and Schultz, B., 2004. Agricultural development and food security under climate uncertainty. Mediterranean Journal of Economics Agriculture & Environment, 3 (3), 12–19.
   Google Scholar
• Döll, P. and Siebert, S., 2002. Global modeling of irrigation water requirements. Water Resources Research, 38 (4), 8-1-8-10. doi:10.1029/2001WR000355
   Web of Science ®Google Scholar
• Dore, H.I.M., 2005. Climate change and changes in global precipitation patterns: what do we know? Environmental International, 31 (8), 1167–1181. doi:10.1016/j.envint.2005.03.004
   PubMed Web of Science ®Google Scholar
• Frederick, K.D., 1998. Principles and concepts for water resources planning under climate uncertainty. Journal of Contemporary Water Research & Education, 1998 (112), 41–46.
   Google Scholar
• Fu, G.B., et al., 2004. Hydro-climatic trends of the Yellow River Basin for the last 50 years. Climatic Change, 65, 149–178. doi:10.1023/b:clim.0000037491.95395.bb
   Web of Science ®Google Scholar
• Gao, P., et al., 2013. Impact of climate change and anthropogenic activities on stream flow and sediment discharge in the Wei river basin, china. Hydrology and Earth System Sciences, 17 (3), 961–972. doi:10.5194/hess-17-961-2013
   Web of Science ®Google Scholar
• Getis, A. and Ord, K., 1992. The analysis of spatial association by use of distance statistics. Geographical Analysis, 24, 189–206. doi:10.1111/j.1538-4632.1992.tb00261.x
   Web of Science ®Google Scholar
• Gilbert, R.O., 1987. Sen’s nonparametric estimator of slope. Statistical methods for environmental pollution monitoring. Manhattan: John Wiley and Sons, 217–219.
   Google Scholar
• Gu, X., et al., 2017a. Changes in magnitude and frequency of heavy precipitation across China and its potential links to summer temperature. Journal of Hydrology, 547, 718–731. doi:10.1016/j.jhydrol.2017.02.041
   Web of Science ®Google Scholar
• Gu, X., et al., 2017b. Nonstationarity in timing of extreme precipitation across China and impact of tropical cyclones. Global and Planetary Change, 149, 153–165. doi:10.1016/j.gloplacha.2016.12.019
   Web of Science ®Google Scholar
• Gupta, S.C., et al., 2015. Climate and agricultural land use change impact seasonal streamflow in the upper midwestern United States. Water Resources Research, 51, 5301–5317. doi:10.1002/2015WR017323
   Web of Science ®Google Scholar
• Haddeland, H., et al., 2014. Global water resources affected by human interventions and climate change. Proceedings of the National Academy of Sciences of the United States of America, 111 (9), 6251–6256. doi:10.1073/pnas.1222475110
   Web of Science ®Google Scholar
• Hamed, K.H. and Rao, A.R., 1998. A modified Mann–kendall trend test for autocorrelated data. Journal of Hydrology, 204 (1–4), 182–196. doi:10.1016/S0022-1694(97)00125-X
   Web of Science ®Google Scholar
• Hassaballah, K., et al., 2017. Analysis of streamflow response to land use and land cover changes using satellite data and hydrological modelling: case study of Dinder and Rahad tributaries of the Blue Nile (Ethiopia-Sudan). Hydrology and Earth System Sciences, 21, 5217–5242. doi:10.5194/hess-21-5217-2017
   Web of Science ®Google Scholar
• He, B., Miao, C.Y., and Trend, S.W., 2013. Abrupt change, and periodicity of streamflow in the mainstream of Yellow River. Environmental Monitoring and Assessment, 185 (7), 6187–6199. doi:10.1007/s10661-012-3016-z
   PubMed Web of Science ®Google Scholar
• Helsel, D.R. and Frans, L.M., 2006. The regional Kendall test for trend. Environmental Science and Technology, 40, 4066–4073. doi:10.1021/es051650b
   PubMed Web of Science ®Google Scholar
• Hirsch, R.M. and Slack, J.R., 1984. A nonparametric trend test for seasonal data with serial dependence. Water Resources Research, 20 (6), 727–732. doi:10.1029/WR020i006p00727
   Web of Science ®Google Scholar
• Hirsch, R.M., Slack, J.R., and Smith, R.A., 1982. Techniques of trend analysis for monthly water quality data. Water Resources Research, 18 (1), 107–121. doi:10.1029/WR018i001p00107
   Web of Science ®Google Scholar
• Jana, M. and Sar, N., 2016. Modeling of hotspot detection using cluster outlier analysis and Getis-Ord Gi* statistic of educational development in upper-primary level, India. Modeling Earth Systems & Environment, 2 (2), 60. doi:10.1007/s40808-016-0122-x
   Web of Science ®Google Scholar
• Jiang, J.M., et al., 2002. Coherency detection of multiscale significant changes in historic Nile flood levels. Geophysical Research Letters, 29 (8), 112–114. doi:10.1029/2002GL014826
   Web of Science ®Google Scholar
• Kendall, M.G., 1975. Rank correlation methods. Griffin: London.
   Google Scholar
• Li, H., et al., 2017. Hydrological effects of cropland and climatic changes in arid and semi-arid river basins: a case study from the Yellow River basin, China. Journal of Hydrology, 549, 547–557. doi:10.1016/j.jhydrol.2017.04.024
   Web of Science ®Google Scholar
• Liu, J., et al., 2013. Divergent global precipitation changes induced by natural versus anthropogenic forcing. Nature, 493, 656–659. doi:10.1038/nature11784
   PubMed Web of Science ®Google Scholar
• Liu, J.Y., et al., 2017. Contribution of multiple climatic variables and human activities to streamflow changes across China. Journal of Hydrology, 545, 145–162. doi:10.1016/j.jhydrol.2016.12.016
   Web of Science ®Google Scholar
• Liu, W.P., et al., 2009. Influence of climate change on winter wheat cropping system in Shanxi. Journal of Arid Land Resources & Environment, 23 (11), 88–92. (In Chinese).
   Google Scholar
• Ma, H., et al., 2010. Impact of climate variability and human activity on streamflow decrease in the Miyun reservoir catchment. Journal of Hydrology, 389 (3–4), 317–324. doi:10.1016/j.jhydrol.2010.06.010
   Web of Science ®Google Scholar
• Mann, H.B., 1945. Nonparametric tests against trend. Econometrica, 13, 245–259. doi:10.2307/1907187
   Web of Science ®Google Scholar
• Naz, B.S., et al., 2018. Effects of climate change on streamflow extremes and implications for reservoir inflow in the United States. Journal of Hydrology, 556, 359–370. doi:10.1016/j.jhydrol.2017.11.027
   Web of Science ®Google Scholar
• Ord, J.K. and Getis, A., 2010. Local spatial autocorrelation statistics: distributional issues and an application. Geographical Analysis, 27 (4), 286–306. doi:10.1111/j.1538-4632.1995.tb00912.x
   Web of Science ®Google Scholar
• Peeters, A., et al., 2015. Getis–ord’s hot- and cold-spot statistics as a basis for multivariate spatial clustering of orchard tree data. Computers & Electronics in Agriculture, 111 (C), 140–150. doi:10.1016/j.compag.2014.12.011
   Web of Science ®Google Scholar
• Piao, S.L., et al., 2010. The impacts of climate change on water resources and agriculture in China. Nature, 467, 43–51. doi:10.1038/nature09364
   PubMed Web of Science ®Google Scholar
• Poff, N.L., et al., 2007. Homogenization of regional river dynamics by dams and global biodiversity implications. Proceedings of the National Academcy of Sciences, 104, 5732–5737. doi:10.1073/pnas.0609812104
   PubMed Web of Science ®Google Scholar
• Qiu, J., et al., 2016. Comparison of temporal trends from multiple soil moisture data sets and precipitation: the implication of irrigation on regional soil moisture trend. International Journal of Applied Earth Observations & Geoinformation, 48 (48), 17–27. doi:10.1016/j.jag.2015.11.012
   Web of Science ®Google Scholar
• Ren, G., 2007. Climate change and China’s water resources. Beijing: Meteorological Press. (in Chinese).
   Google Scholar
• Richard, P.A. and Brian, J.S., 2008. Atmospheric warming and the amplification of precipitation extremes. Science, 321 (5895), 1481–1484. doi:10.1126/science.1160787
   PubMed Web of Science ®Google Scholar
• Saft, M., et al., 2016. Predicting shifts in rainfall‐runoff partitioning during multiyear drought: roles of dry period and catchment characteristics. Water Resources Research, 52, 9290–9305. doi:10.1002/2016WR019525
   Web of Science ®Google Scholar
• Saft, M., et al., 2015. The influence of multiyear drought on the annual rainfall‐runoff relationship: an Australian perspective. Water Resources Research, 51 (4), 2444–2463. doi:10.1002/2014WR015348
   Web of Science ®Google Scholar
• Schiermeier, Q., 2011. Increased flood risk linked to global warming. Nature, 470 (7334), 378–381. doi:10.1038/470316a
   PubMed Web of Science ®Google Scholar
• Schilling, K.E., 2005. Relation of baseflow to row crop intensity in Iowa. Agriculture Ecosystems & Environment, 105 (1), 433–438. doi:10.1016/j.agee.2004.02.008
   Web of Science ®Google Scholar
• Schilling, K.E., et al., 2008. Impact of land use and land cover change on the water balance of a large agricultural watershed: historical effects and future directions. Water Resources Research, 44, W00A09. doi:10.1029/2007WR006644
   Web of Science ®Google Scholar
• Shiklomanov, I.A. and Rodda, J.C., 2003. World water resources at the beginning of the 21st century. International hydrology series. Cambridge, UK: Cambridge Univ Press.
   Google Scholar
• Teklesadik, A.D., et al., 2017. Inter-model comparison of hydrological impacts of climate change on the Upper Blue Nile basin using ensemble of hydrological models and global climate models. Climatic Change, 141, 517–532. doi:10.1007/s10584-017-1913-4
   Web of Science ®Google Scholar
• Thaler, S., Eitzinger, J., and Dubrovsky, M.T.M., 2012. Impacts of climate change and alternative adaptation options on winter wheat yield and water productivity in a dry climate in central Europe. Journal of Agricultural Science, 150 (5), 537–555. doi:10.1017/S0021859612000093
   Web of Science ®Google Scholar
• Turner, S.W.D., et al., 2017. Complex relationship between seasonal streamflow forecast skill and value in reservoir operations. Hydrology and Earth System Sciences, 21, 4841–4859. doi:10.5194/hess-21-4841-2017
   Web of Science ®Google Scholar
• Vaighan, A.A., Talebbeydokhti, N., and Bavani, A.M., 2017. Assessing the impacts of climate and land use change on streamflow, water quality and suspended sediment in the Kor River Basin, Southwest of Iran. Environmental Earth Sciences, 76, 543. doi:10.1007/s12665-017-6880-6
   Web of Science ®Google Scholar
• Viglione, A., et al., 2016. Attribution of regional flood changes based on scaling fingerprints. Water Resources Research, 52 (7), 5322–5340. doi:10.1002/2016WR019036
   PubMed Web of Science ®Google Scholar
• Villarini, G., et al., 2015. Projected changes in discharge in an agricultural watershed in Iowa. Journal of the American Water Resources Association, 51 (5), 1361–1371. doi:10.1111/1752-1688.12318
   Web of Science ®Google Scholar
• Villarini, G., et al., 2009. On the stationarity of annual flood peaks in the continental United States during the 20th century. Water Resources Research, 45, W08417. doi:10.1029/2008WR007645
   Web of Science ®Google Scholar
• Villarini, G. and Strong, A., 2014. Roles of climate and agricultural practices in discharge changes in an agricultural watershed in Iowa. Agriculture, Ecosystems and Environment, 188, 204–2011. doi:10.1016/j.agee.2014.02.036
   Web of Science ®Google Scholar
• von Storch, H. and Navarra, A., Eds., 1995. Analysis of climate variability-applications of statistical techniques. New York: Springer-Verlag, 334.
   Google Scholar
• Wang, G.S., Xia, J., and Chen, J., 2009. Quantification of effects of climate variations and human activities on runoff by a monthly water balance model: a case study of the Chaobai River basin in northern china. Water Resources Research, 45 (7), 206–216. doi:10.1029/2007WR006768
   Web of Science ®Google Scholar
• Wang, Y.Q. and Zhou, L., 2005. Observed trends in extreme precipitation events in China during 1961–2001 and the associated changes in large-scale circulation. Geophysical Research Letters, 32, 1–4. doi:10.1029/2005GL022574
   Web of Science ®Google Scholar
• Wei, L., Hubbart, J.A., and Zhou, H., 2018. Variable streamflow contributions in nested subwatersheds of a US midwestern urban watershed. Water Resources Management, 32, 213–228. doi:10.1007/s11269-017-1804-5
   Web of Science ®Google Scholar
• Wrachien, D.D. and Goli, M.B., 2015. Global warming effects on irrigation development and crop production: a world-wide view. Agricultural Sciences, 06, 734–747. doi:10.4236/as.2015.67071
   Google Scholar
• Xu, M., et al., 2018. Detection of spatio-temporal variability of air temperature and precipitation based on long-term meteorological station observations over Tianshan Mountains, Central Asia. Atmospheric Research, 203, 141–163. doi:10.1016/j.atmosres.2017.12.007
   Web of Science ®Google Scholar
• Yang, Y.H. and Fei, T., 2009. Abrupt change of runoff and its major driving factors in haihe river catchment, china. Journal of Hydrology, 374 (3), 373–383. doi:10.1016/j.jhydrol.2009.06.040
   Web of Science ®Google Scholar
• Zhang, Q., et al., 2015c. Spatio-temporal behavior of floods and droughts and their impacts on agriculture in China. Global and Planetary Change, 131, 63–72. doi:10.1016/j.gloplacha.2015.05.007
   Web of Science ®Google Scholar
• Zhang, Q., et al., 2015a. Evaluation of flood frequency under non-stationarity resulting from climate indices and reservoir indices in the East River basin, China. Journal of Hydrology, 527, 565–575. doi:10.1016/j.jhydrol.2015.05.029
   Web of Science ®Google Scholar
• Zhang, Q., et al., 2015b. Homogenization of precipitation and flow regimes across China: changing properties, causes and implications. Journal of Hydrology, 530, 462–475. doi:10.1016/j.jhydrol.2015.09.041
   Web of Science ®Google Scholar
• Zhang, Q., et al., 2013. Spatio-temporal relations between temperature and precipitation regimes: implications for temperature-induced changes in the hydrological cycle. Global Planetary Change, 111, 57–76. doi:10.1016/j.gloplacha.2013.08.012
   Web of Science ®Google Scholar
• Zhang, Q., et al., 2014b. Trend, periodicity and abrupt change in streamflow of the East River, the Pearl River basin. Hydrological Processes, 28, 305–314. doi:10.1002/hyp.9576
   Web of Science ®Google Scholar
• Zhang, Q., et al., 2014a. Topography-based spatial patterns of precipitation extremes in the Poyang Lake basin, China: changing properties and causes. Journal of Hydrology, 512, 229–239. doi:10.1016/j.jhydrol.2014.03.010
   Web of Science ®Google Scholar
• Zhang, Q., et al., 2011. Statistical behaviors of precipitation regimes in China and their links with atmospheric circulation 1960–2005. International Journal of Climatology, 31 (11), 1665–1678. doi:10.1002/joc.2193
   Web of Science ®Google Scholar
• Zhang, Y.K. and Schilling, K.E., 2006. Increasing streamflow and base flow in Mississippi River since the 1940s: effect of land use change. Journal of Hydrology, 324 (1), 412–422. doi:10.1016/j.jhydrol.2005.09.033
   Web of Science ®Google Scholar