Papers：
[37]Zhao, C.S., Shao, N.F., Yang, S.T., Ren, H., Ge, Y.R., Zhang, Z.S., Zhao, Y. and Yin, X., 2019. Integrated assessment of ecosystem health using multiple indicator species. Ecological Engineering. 130: 157-168. (DOI: 10.1016/j.ecoleng.2019.02.016)
[36] Zhao, C., Yang, S., Liu, J., Liu, C., Hao, F., Wang, Z., Zhang, H., Song, J., Mitrovic, S.M. and Lim, R.P. (2018). Linking fish tolerance to water quality criteria for the assessment of environmental flows: A practical method for streamflow regulation and pollution control. Water Research, 141: 96-108. (DOI: 10.1016/j.watres.2018.05.025)
[35]Zhao, C., Yu, X., Yang, S., Wang, X., Sun, C., Zhang, Y., Dong, B. and Shao, N. (2018). Heterogeneity of aquatic ecosystems in a developing city for construction of civilized freshwater ecology, China. Ecohydrology, 11(7):1-17. (DOI: 10.1002/eco.1990)
[34]Zhao, C., Zhang, Y., Yang, S., Xiang, H., Sun, Y., Yang, Z., Yu, Q. and Lim, R.P. (2018). Quantifying effects of hydrological and water quality disturbances on fish with food-web modeling. Journal of Hydrology, 560: 1-10. (DOI: 10.1016/j.jhydrol.2018.03.017)
[33] Yang, S.T., Bai, J.,Zhao, C.S., Lou, H.Z., Zhang, C.B., Guan, Y.B., Zhang, Y.C., Wang, Z.W., &Yu, X.Y. (2018). The assessment of the changes of biomass and riparian buffer width in the terminal reservoir under the impact of the South-to-North Water Diversion Project in China. Ecological Indicators, 85: 932-943. (DOI: 10.1016/j.ecolind.2017.11.011)
[32]Zhao, C.S., Shao, N.F., Yang, S.T., Xiang, H., Lou, H.Z., Sun, Y., Yang, Z.Y., Zhang, Y., Yu, X.Y., Zhang, C.B., & Yu, Q. (2018). Identifying the principal driving factors of water ecosystem dependence and the corresponding indicator species in a Pilot City, China. Journal of Hydrology, 556 :488–499. (DOI: 10.1016/j.jhydrol.2017.11.031)
[31]Zhao, C.S., Zhang, C.B., Yang, S.T., Liu, C.M., Xiang, H., Sun, Y., Yang, Z.Y., Zhang, Y., Yu, X.Y., Shao, N.F. & Yu, Q. (2017). Calculating e-flow using UAV and ground monitoring. Journal of Hydrology, 552: 351–365. ( DOI: 10.1016/j.jhydrol.2017.06.047)
[30]Zhao, C.S., Yang, S.T., Zhang, H.T., Liu, C.M., Sun, Y., Yang, Z.L., Zhang, Y., Dong, B.E., & Lim, R.P. (2017). Coupling Habitat Suitability and Ecosystem Health with AEHRA to Estimate E-flows under Intensive Human Activities. Journal of Hydrology, 551: 470–483.(DOI:10.1016/j.jhydrol.2017.05.047)
[29] Lou, H.Z., Yang, S.T.,Zhao, C.S.*, Wang, Z.W., Shi, L.H., Wu, L.N., Dong, G.T., Cai, M.Y., Hao, F.H., &Sun, Y. (2017).Using a nitrogen-phosphorus ratio to identify phosphorus risk factors and their spatial heterogeneity in an intensive agricultural area. Catena 149: 426–436.(DOI: 10.1016/j.catena.2016.10.022)
[28] Lou, H.Z., Yang, S.T.,Zhao, C.S.*, Wang, Z.W., Liu, X.L., Shi, L.H., Wu, L.N., Hao. F.H., & Cai, M.Y. (2017). Combining multi-source data to explore a mechanism for the effects of micrometeorological elements on nutrient variations in paddy land water. Paddy and Water Environment, 15(3): 513-524. (DOI: 10.1007/s10333-016-0568-5)
[27] Cai, M.Y., Yang, S.T.,Zhao, C. S., Zhou, Q.T.& Hou, L.P. (2017). Insight into runoff characteristics using hydrological modeling in the data-scarce southern tibetan plateau: past, present, and future. Plos One, 12(5), e0176813. (DOI: 10.1371/journal.pone.0176813)
[26] Wang, Z.W., Yang, S.T.,Zhao, C.S., Bai, J., Lou, H.Z., Chen, K., Wu, L.N., Dong, G.T., &Zhou, Q.W. (2016). Assessment of non-point source total phosphorus pollution from different land use and soil types in a mid-high latitude region of china. Water, 8(11): 505. (DOI: 10.3390/w8110505)
[25] Chen, K., Yang, S,T.,Zhao, C.S., Li, Z.L., Luo, Y., Wang, Z.W., Liu, X.L., Guan, Y.B., Bai, J., &Zhou, Q.W. (2016). Conversion of Blue Water into Green Water for Improving Utilization Ratio of Water Resources in Degraded Karst Areas. Water, 8(12): 569. (DOI: 10.3390/w8120569)
[24] Zhou, Q.T., Yang, S.T.,Zhao, C.S., Cai, M.Y., Lou, H.Z., Luo, Y., & Hou, L.P. (2016). Development and implementation of a spatial unit non-overlapping water stress index for water scarcity evaluation with a moderate spatial resolution. Ecological Indicators, 69: 422-433.(DOI: 10.1016/j.ecolind.2016.05.006)
[23] Wu, L.N., Yang, S.T.,Zhao, C.S.*, Hao, F.H., Dong, G.T., Yang, Y.A., Wang, Z.W., & Lou, H.Z. (2016). The impact of land-use change on monthly variation of soil nitrogen in an agricultural region at mid-high latitude. FEB-Fresenius Environmental Bulletin, 25(10):3847-3858 .
[22] Lou, H.Z., Yang, S.T.,Zhao, C.S.*, Shi, L.H., Wu, L.N., Wang, Y., & Wang, Z.W. (2016). Detecting and analyzing soil phosphorus loss associated with critical source areas using a remote sensing approach. Science of the Total Environment, 573, 397-408. (DOI: 10.1016/j.scitotenv.2016.08.048)
[21]Zhao, C.S., Yang, S.T., Xiang, H., Liu, C.M., Zhang, H.T., Yang, Z.L., Zhang ,Y., Sun, Y., Mitrovic, S.M., & Yu, Q. (2015). Hydrologic and water-quality rehabilitation of environments for suitable fish habitat. Journal of Hydrology, 530, 799-814. (DOI: 10.1016/j.jhydrol.2015.10.031)
[20]Zhao, C.S., Yang, S.T., Liu, C.M., Dou, T.W., Yang, Z.L., Yang, Z.Y., Liu, X.L., Xiang, H., Nie, S.Y., &Zhang, J.L. (2015). Linking hydrologic, physical and chemical habitat environments for the potential assessment of fish community rehabilitation in a developing city. Journal of Hydrology, 523: 384-397. (DOI: 10.1016/j.jhydrol.2015.01.067)
[19] Lou, H.Z., Yang, S.T.,Zhao, C.S. *, Zhou, Q.W., Bai, J., Hao, F.H., &Wu, L.N. (2015). Phosphorus risk in an intensive agricultural area in a mid-high latitude region of China. Catena, 127: 46-55. (DOI: 10.1016/j.catena.2014.12.013.)
[18] Zhou, X., Yang, S.T., Liu, X.Y., Liu, C.M.,Zhao, C.S., Zhao, H.G., Zhou, Q.W., &Wang, Z.W. (2015). Comprehensive analysis of changes to catchment slope properties in the high-sediment region of the Loess Plateau, 1978-2010. Journal of Geographical Sciences, 25 (4): 437-450.(DOI: 10.1007/s11442-015-1179-6)
[17]Zhao, C.S., Sun, C.L., Liu, C.M., Xia, J., Yang, G., Liu, X.M., Zhang, D., Dong, B.E., &Sobkowiak L.(2014). Analysis of regional zoobenthos status in the Huai River Basin, China using two new ecological niche clustering approaches. Ecohydrology, 7: 91-101. (DOI: 10.1002/eco.1324)
[16] Luo, Y., Yang, S.T.,Zhao, C. S.*, Liu, X.Y., Liu, C.M., Wu, L.N., Zhao, H.G., &Zhang, Y.C., (2014). The effect of environmental factors on spatial variability in land use change in the high-sediment region of China’s Loess Plateau. Journal of Geographical Sciences 24(5): 802-814.(DOI: 10.1007/s11442-014-1121-3)
[15] Cai, M.Y., Yang, S.T., Zeng, H.J.,Zhao, C.S.*, &Wang, S.D. (2014). A Distributed Hydrological Model Driven by Multi-Source Spatial Data and Its Application in the Ili River Basin of Central Asia. Water Resources Management, 28(10): 2851-2866. (DOI: 10.1007/s11269-014-0641-z)
[14] Xia, J., Zhang, Y.Y.,Zhao, C.S., & Bunn, S.E. (2014). Bioindicator Assessment Framework of River Ecosystem Health and the Detection of Factors Influencing the Health of the Huai River Basin, China. Journal of Hydrologic Engineering, 19(8): 04014008.(DOI: 10.1061/(ASCE)HE.1943-5584.0000989)
[13] Zhou, Q.W., Yang, S.T.,Zhao, C.S., Cai, M.Y., &Luo, Y. (2014). A Soil Erosion Assessment of the Upper Mekong River in Yunnan Province, China. Mountain Research and Development 34(1): 36-47. (DOI: 10.1659/MRD-JOURNAL-D-13-00027.1)
[12] Chen, J.X., Xia, J.,Zhao, C.S., Zhang, S.F., &Fu, G.B.(2014). The Mechanism and Scenarios of how Mean Annual Runoff Varies with Climate Change in Asian monsoon areas. Journal of Hydrology, 517: 595-606. (DOI: 10.1016/j.jhydrol.2014.05.075)
[11] Cai, M.Y., Yang, S.T.,Zhao, C.S., Zeng, H.J.,& Zhou, Q.W. (2013). Estimation of daily average temperature using multisource spatial data in data sparse regions of Central Asia. Journal of Applied Remote Sensing 7(1): 073478. ( DOI: 10.1117/1.JRS.7.073478)
[10]Zhao, C.S., Liu, C.M., Zhao, J.H., Xia, J., Yu, Q., &Eamus D.(2013). Zooplankton in Highly Regulated Rivers: Changing with Water Environment. Ecological Engineering, 58: 323-334.(DOI: 10.1016/j.ecoleng.2013.07.035)
[9]Zhao, C.S., Liu, C.M., Dai, X.Q., Liu, T., Duan, Z., &Liu, L.F. (2013). Separation of the Climate-change and Human-activity Inducing Runoff Variations. Hydrological Sciences Journal, 60(2):234-246.( DOI: 10.1080/02626667.2013.865029)
[8]Zhao, C.S., Liu, C.M., Sun, Y., Yang, G., Mitrovic, S.M., &Wang, H. (2013). Heterogeneity of Water Quality in Huai River, China by using Bio-monitoring Data. Water Science and Technology: Water Supply, 13(6): 1524-1533. (DOI: 10.2166/ws.2013.162)
[7] Liu, C.M., Zhang, D., Liu, X.M., &Zhao, C.S. (2012). Change of the Sensitivity of Potential Evapotranspiration to Meteorological Factors in China during 1960-2007. Journal of Geographical Sciences, 22 (1): 3-14. (DOI: 10.1007/s11442-012-0907-4)
[6]Zhao, C.S., Liu, C.M., Xia, J., Zhang, Y.Y., Yu, Q., &Eamus, D. (2012). Recognition of Key Regions for Restoration of Phytoplankton Communities in the Huai River basin, China. Journal of Hydrology, 420-421: 292-300. (DOI: 10.1016/j.jhydrol.2011.12.016)
[5] Liu, C.M.,Zhao, C.S.*, Xia, J., Sun, C.L., Wang, R., &Liu, T. (2011). An Instream Ecological Flow Method for Data-scarce Regulated Rivers. Journal of Hydrology, 398: 17-25.(DOI: 10.1016/j.jhydrol.2010.11.026)
[4]Zhao, C.S., Sun, C.L., Xia, J., Hao, X.P., Li, G.F., Rebensburg, K., &Liu, C.M. (2010). An Impact Assessment Method of Dam on Dissipative Hydrological and its Application to the Bengbu Sluice of China. Water Resour Manage, 24: 4551–4565. (DOI: 10.1007/s11269-010-9675-z.)
[3]Zhao, C.S., Shen, B., Huang, L.M., Lei, Z.D., Hu, H.P., &Yang, S.X. (2009). A Dissipative Hydrological Model for the HotanOasis(DHMHO). Water Resour Manage, 23(6): 1183-1210. (DOI: 10.1007/s11269-008-9322-0).
[2]Zhao, C.S., Xia, J., Li, Z.L., Liu, Y., Tang, B.H., Tang, R.L., Yan, Z.Q., &Ouyang, X.Y. (2008). Using high-temporal geostationary satellite data to analysis temporal and spatial pattern of regional water consumption—a case study of the agricultural district upstream the Bengbu Sluice in the Huai River Basin in spring drought season. Journal of Natural Resources, 23(6): 1055-1067.
[1] Zhang, X.Y.,Zhao, C.S. (2008). Estimation of Thermal In`ertia and Ground Heat Flux for Bare Soil from MSG-SEVIRI Data. Journal of Natural Resources, 23(6): 1078-1087.