Publications

   Google Scholar: 

      scholar.google.ca/citations?user=PPVDhVQAAAAJ&hl=en   

   2024

1.      Karki, R., Qi, J., Zhang, X. and Srivastava, P., 2024. Evaluating SWAT-3PG simulation of hydrologic and water quality processes in a forested watershed: A case study in the St. Croix River Basin. Journal of Hydrology, p.132393.

2.      Tijjani, S.B., Giri, S., Lathrop, R., Qi, J., Karki, R., Schäfer, K.V., Kaplan, M.B., Oleghe, E.E. and Dhakal, S., 2024. Modeling carbon dynamics from a heterogeneous watershed in the mid-Atlantic USA: A distributed-calibration and independent verification (DCIV) approach. Science of The Total Environment, 956, p.177271. https://doi.org/10.1016/j.scitotenv.2024.177271

3.      Li, B., Tan, L., Zhang, X., Qi, J., Marek, G.W., Feng, P., Liu, D.L., Luo, X., Srinivasan, R. and Chen, Y., 2024. Enhanced freeze‐thaw cycle altered the simulations of groundwater dynamics in a heavily irrigated basin in the temperate region of China. Water Resources Research, 60(9), p.e2023WR036151. https://doi.org/10.1029/2023WR036151

4.      Han, Y., Liu, Z., Li, Y., Chen, Y., Qi, J., Feng, P., Li Liu, D., Shi, J., Meng, L. and Chen, Y., 2024. Response of hydrology and nutrient losses to different extreme rainfall conditions in a coastal watershed influenced by orchards. Journal of Environmental Management, 368, p.122137. https://doi.org/10.1016/j.jenvman.2024.122137

5.      Han, Y., Liu, Z., Chen, Y., Qi, J., Feng, P., Li Liu, D., Shi, J., Meng, L. and Chen, Y., 2024. The response of non-point source pollution to climate change in an orchard-dominant coastal watershed. Environmental Research, 259, p.119515. https://doi.org/10.1016/j.envres.2024.119515

6.      Wen, N., Marek, G.W., Srinivasan, R., Brauer, D.K., Qi, J., Wang, N., Han, Y., Zhang, X., Feng, P., Li Liu, D. and Chen, Y., 2024. Assessing the impacts of long-term climate change on hydrology and yields of diversified crops in the Texas High Plains. Agricultural Water Management, 302, p.108985. https://doi.org/10.1016/j.agwat.2024.108985

7.      Wen, N., Han, Y., Qi, J., Marek, G.W., Sun, D., Feng, P., Srinivasan, R., Li Liu, D. and Chen, Y., 2024. Improving hydrological modeling to close the gap between elevated CO2 concentration and crop response: implications for water resources. Water Research, p.122279. https://doi.org/10.1016/j.watres.2024.122279

8.      Llanos-Paez, O., Qi, J., Gutierrez, N., Colls, M., Sabater, S. and Acuña, V., 2024. Dynamics of Organic Matter Transport, Storage, and Processing in a Non-perennial Mediterranean River Network. Ecosystems, pp.1-19.  https://doi.org/10.1007/s10021-024-00910-3

9.      Zhang, Y., Han, Y., Wen, N., Qi, J., Zhang, X., Marek, G.W., Srinivasan, R., Feng, P., Liu, D.L., Hu, K. and Chen, Y., 2024. Assessing the response mechanisms of elevated CO2 concentration on various forms of nitrogen losses in the Golden Corn Belt. Water Resources Research, 60(7), p.e2024WR037226. https://doi.org/10.1029/2024WR037226

10.  Lee, S., Kim, D., McCarty, G.W., Anderson, M., Gao, F., Lei, F., Moglen, G.E., Zhang, X., Yen, H., Qi, J. and Crow, W., 2024. Spatial calibration and uncertainty reduction of the SWAT model using multiple remotely sensed data. Heliyon, 10(10). https://doi.org/10.1016/j.heliyon.2024.e30923

11.  Kang, X., Qi, J., Bourque, C.P.A., Li, S., Jin, C. and Meng, F.R., 2024. Assessing watershed-scale impacts of best management practices and elevated atmospheric carbon dioxide concentrations on water yield. Science of The Total Environment, 926, p.171629. https://doi.org/10.1016/j.scitotenv.2024.171629

12.  Wei, X., Hayes, D.J., Butman, D.E., Qi, J., Ricciuto, D.M. and Yang, X., 2024. Modeling exports of dissolved organic carbon from landscapes: A review of challenges and opportunities. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ad3cf8

13.  Jeong, H., Lee, B., Kim, D., Qi, J., Lim, K.J. and Lee, S., 2024. Improving estimation capacity of a hybrid model of LSTM and SWAT by reducing parameter uncertainty. Journal of Hydrology, 633, p.130942. https://doi.org/10.1016/j.jhydrol.2024.130942

14.  Luo, X., Risal, A., Qi, J.*, Lee, S., Zhang, X., Alfieri, J.G. and McCarty, G.W., 2024. Modeling lateral carbon fluxes for agroecosystems in the Mid-Atlantic region: Control factors and importance for carbon budget. Science of The Total Environment, 912, p.169128. https://doi.org/10.1016/j.scitotenv.2023.169128

15.  Xu, F., Qu, Y., Bento, V.A., Song, H., Qiu, J., Qi, J., Wan, L., Zhang, R., Miao, L., Zhang, X. and Wang, Q., 2024. Understanding climate change impacts on drought in China over the 21st century: A multi-model assessment from CMIP6. npj Climate and Atmospheric Science, 7(1), p.32. https://doi.org/10.1038/s41612-024-00578-5

16.  Tijjani, S.B., Qi, J., Giri, S. and Lathrop, R., 2024. Crop production and water quality under 1.5° C and 2° C warming: Plant responses and management options in the mid-Atlantic region. Science of the Total Environment, 907, p.167874. https://doi.org/10.1016/j.scitotenv.2023.167874

2023

1.      Li, B., Tan, L., Zhang, X., Qi, J., Marek, G.W., Li, Y., Dong, X., Zhao, W., Chen, T., Feng, P. and Li Liu, D., 2023. Modeling streamflow response under changing environment using a modified SWAT model with enhanced representation of CO2 effects. Journal of Hydrology: Regional Studies, 50, p.101547. https://doi.org/10.1016/j.ejrh.2023.101547

2.      Liang, K., Qi, J., Zhang, X., Emmett, B., Johnson, J.M., Malone, R.W., Moglen, G.E. and Venterea, R.T., 2023. Simulated nitrous oxide emissions from multiple agroecosystems in the US Corn Belt using the modified SWAT-C model. Environmental Pollution, 337, p.122537. https://doi.org/10.1016/j.envpol.2023.122537

3.      Tan, L., Zhang, X., Qi, J., Sun, D., Marek, G.W., Feng, P., Li, B., Li Liu, D., Li, B., Srinivasan, R. and Chen, Y., 2023. Assessment of the sustainability of groundwater utilization and crop production under optimized irrigation strategies in the North China Plain under future climate change. Science of the Total Environment, 899, p.165619. https://doi.org/10.1016/j.scitotenv.2023.165619

4.      Tijjani, S.B., Qi, J.*, Giri, S. and Lathrop, R., 2023. Modeling Land Use and Management Practices Impacts on Soil Organic Carbon Loss in an Agricultural Watershed in the Mid-Atlantic Region. Water, 15(20), p.3534. https://doi.org/10.3390/w15203534

5.      Zhu, L., Qi, J., Wang, H., Zhou, M., Ye, Y., Li, Y., Tong, C., Deng, X., He, S. and Wang, K., 2023. Coupling SMAP brightness temperature into SWAT hydrological model for 30-m resolution soil moisture retrievals. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://doi: 10.1109/JSTARS.2023.3310197.

6.      Zhang, Y., Ge, J., Qi, J., Liu, H., Zhang, X., Marek, G.W., Yuan, C., Ding, B., Feng, P., Li Liu, D. and Srinivasan, R., 2023. Evaluating the effects of single and integrated extreme climate events on hydrology in the Liao River Basin, China using a modified SWAT-BSR model. Journal of Hydrology, 623, p.129772. https://doi.org/10.1016/j.jhydrol.2023.129772

7.      Zhang, R., Bento, V.A., Qi, J., Xu, F., Wu, J., Qiu, J., Li, J., Shui, W. and Wang, Q., 2023. The first high spatial resolution multi-scale daily SPI and SPEI raster dataset for drought monitoring and evaluating over China from 1979 to 2018. Big Earth Data, 7(3), pp.860-885. https://doi.org/10.1080/20964471.2022.2148331

8.      Ran, L., Fang, N., Wang, X., Piao, S., Chan, C.N., Li, S., Zeng, Y., Shi, Z., Tian, M., Xu, Y.J. and Qi, J., 2023. Substantially enhanced landscape carbon sink due to reduced terrestrial‐aquatic carbon transfer through soil conservation in the Chinese Loess Plateau. Earth's Future, 11(7), p.e2023EF003602. https://doi.org/10.1029/2023EF003602

9.      Karki, R., Qi, J.*, Gonzalez-Benecke, C.A., Zhang, X., Martin, T.A. and Arnold, J.G., 2023. SWAT-3PG: Improving forest growth simulation with a process-based forest model in SWAT. Environmental Modelling & Software, 164, p.105705. https://doi.org/10.1016/j.envsoft.2023.105705

10.  Zeng, J., Zhou, T., Qu, Y., Bento, V.A., Qi, J., Xu, Y., Li, Y. and Wang, Q., 2023. An improved global vegetation health index dataset in detecting vegetation drought. Scientific Data, 10(1), p.338. https://doi.org/10.1038/s41597-023-02255-3

11.  Du, X., Faramarzi, M., Qi, J., Lei, Q. and Liu, H., 2023. Investigating hydrological transport pathways of dissolved organic carbon in cold region watershed based on a watershed biogeochemical model. Environmental Pollution, 324, p.121390. https://doi.org/10.1016/j.envpol.2023.121390

12.  Shui, W., Shui, W., Qi, J., Deng, H. and Liu, S., 2023. Climate change and adaptive capacity building. Frontiers in Environmental Science, 11, p.1171032. https://doi:10.3389/fenvs.2023.1171032

13.  Zhang, Y., Liu, H., Qi, J., Feng, P., Zhang, X., Li Liu, D., Marek, G.W., Srinivasan, R. and Chen, Y., 2023. Assessing impacts of global climate change on water and food security in the black soil region of Northeast China using an improved SWAT-CO2 model. Science of the Total Environment, 857, p.159482. https://doi.org/10.1016/j.scitotenv.2022.159482

2022

1.      Qi, J.*, Li, S., Benoy, G., Xing, Z., Gao, L. and Meng, F.R., 2022. Impacts of sampling frequency on the estimation accuracy of exceedance for suspended solids and nitrates in streams in small to medium-sized watersheds. Journal of Hydrology X, 17, p.100139. https://doi.org/10.1016/j.hydroa.2022.100139

2.      Liang, K., Qi, J., Zhang, X. and Deng, J., 2022. Replicating measured site-scale soil organic carbon dynamics in the US Corn Belt using the SWAT-C model. Environmental Modelling & Software, 158, p.105553. https://doi.org/10.1016/j.envsoft.2022.105553

3.      Zhang, Y., Qi, J., Pan, D., Marek, G.W., Zhang, X., Feng, P., Liu, H., Li, B., Ding, B., Brauer, D.K. and Srinivasan, R., 2022. Development and testing of a dynamic CO2 input method in SWAT for simulating long-term climate change impacts across various climatic locations. Journal of Hydrology, 614, p.128544. https://doi.org/10.1016/j.jhydrol.2022.128544

4.      Li, X., Tan, L., Li, Y., Qi, J., Feng, P., Li, B., Li Liu, D., Zhang, X., Marek, G.W., Zhang, Y. and Liu, H., 2022. Effects of global climate change on the hydrological cycle and crop growth under heavily irrigated management–A comparison between CMIP5 and CMIP6. Computers and Electronics in Agriculture, 202, p.107408. https://doi.org/10.1016/j.compag.2022.107408

5.      Wang, Y., Zhou, Y., Franz, K.J., Zhang, X., Qi, J., Jia, G. and Yang, Y., 2022. Irrigation plays significantly different roles in influencing hydrological processes in two breadbasket regions. Science of The Total Environment, 844, p.157253. https://doi.org/10.1016/j.scitotenv.2022.157253

6.      Wu, X., Zhang, R., Bento, V.A., Leng, S., Qi, J., Zeng, J. and Wang, Q., 2022. The effect of drought on vegetation gross primary productivity under different vegetation types across China from 2001 to 2020. Remote Sensing, 14(18), p.4658.  https://doi.org/10.3390/rs14184658

7.      Qi, J.*, Kang, X., Li, S. and Meng, F., 2022. Evaluating Impacts of Detailed Land Use and Management Inputs on the Accuracy and Resolution of SWAT Predictions in an Experimental Watershed. Water, 14(15), p.2352. https://doi.org/10.3390/w14152352

8.      Kang, X., Qi, J., Li, S. and Meng, F.R., 2022. A watershed-scale assessment of climate change impacts on crop yields in Atlantic Canada. Agricultural Water Management, 269, p.107680. https://doi.org/10.1016/j.agwat.2022.107680

9.      Lee, S., Kim, D., McCarty, G.W., Anderson, M., Gao, F., Lei, F., Moglen, G.E., Zhang, X., Yen, H., Qi, J. and Crow, W., 2022. Enhanced Watershed Modeling by Incorporating Remotely Sensed Evapotranspiration and Leaf Area Index. Hydrology and Earth System Sciences Discussions, 2022, pp.1-41. https://doi.org/10.5194/hess-2022-187

10.  Lee, S., Qi, J., McCarty, G.W., Anderson, M., Yang, Y., Zhang, X., Moglen, G.E., Kwak, D., Kim, H., Lakshmi, V. and Kim, S., 2022. Combined use of crop yield statistics and remotely sensed products for enhanced simulations of evapotranspiration within an agricultural watershed. Agricultural Water Management, 264, p.107503. https://doi.org/10.1016/j.agwat.2022.107503

11.  Wang, Q., Zhang, R., Qi, J., Zeng, J., Wu, J., Shui, W., Wu, X. and Li, J., 2022. An improved daily standardized precipitation index dataset for mainland China from 1961 to 2018. Scientific Data, 9(1), pp.1-12. https://doi.org/10.1038/s41597-022-01201-z

12.  Leng, S., Huete, A., Cleverly, J., Gao, S., Yu, Q., Meng, X., Qi, J., Zhang, R. and Wang, Q., 2022. Assessing the Impact of Extreme Droughts on Dryland Vegetation by Multi-Satellite Solar-Induced Chlorophyll Fluorescence. Remote Sensing, 14(7), p.1581. https://doi.org/10.3390/rs14071581

13.  Zhang, R., Qi, J., Leng, S. and Wang, Q., 2022. Long-Term Vegetation Phenology Changes and Responses to Preseason Temperature and Precipitation in Northern China. Remote Sensing, 14(6), p.1396.  https://doi.org/10.3390/rs14061396

14.  Jingyu Zeng, Rongrong Zhang, Yanping Qu, Virgílio A. Bento, Tao Zhou, Yuehuan Lin, Xiaoping Wu, Junyu Qi, Wei Shui, Qianfeng Wang, 2022. Improving the drought monitoring capability of VHI at the global scale via ensemble indices for various vegetation types from 2001 to 2018. Weather and Climate Extremes, 35, 100412. https://doi.org/10.1016/j.wace.2022.100412

2021

1.      Qiu, H., Qi, J.*, Lee, S., Moglen, G.E., McCarty, G.W., Chen, M. and Zhang, X., 2021. Effects of temporal resolution of river routing on hydrologic modeling and aquatic ecosystem health assessment with the SWAT model. Environmental Modelling & Software, p.105232. https://doi.org/10.1016/j.envsoft.2021.105232

2.      Qi, J., Lee, S., Du, X., Ficklin, D.L., Wang, Q., Myers, D., Singh, D., Moglen, G.E., McCarty, G.W., Zhou, Y. and Zhang, X., 2021. Coupling Terrestrial and Aquatic Thermal Processes for Improving Stream Temperature Modeling at the Watershed Scale. Journal of Hydrology, p.126983. https://doi.org/10.1016/j.jhydrol.2021.126983

3.      Lee, S., Qi, J., McCarty, G.W., Yeo, I.Y., Zhang, X., Moglen, G.E. and Du, L., 2021. Uncertainty assessment of multi-parameter, multi-GCM, and multi-RCP simulations for streamflow and non-floodplain wetland (NFW) water storage. Journal of Hydrology, 600, p.126564. https://doi.org/10.1016/j.jhydrol.2021.126564

4.      Wang, Q., Qi, J. *, Qiu, H., Li, J., Cole, J., Waldhoff, S. and Zhang, X., 2021. Pronounced Increases in Future Soil Erosion and Sediment Deposition as Influenced by Freeze–Thaw Cycles in the Upper Mississippi River Basin. Environmental Science & Technology, 55(14), pp.9905-9915. https://doi.org/10.1021/acs.est.1c02692

5.      Lee, S., Qi, J., Kim, H., McCarty, G.W., Moglen, G.E., Anderson, M., Zhang, X. and Du, L., 2021. Utility of Remotely Sensed Evapotranspiration Products to Assess an Improved Model Structure. Sustainability, 13(4), p.2375.  https://doi.org/10.3390/su13042375

6.      Wang, Q., Zeng, J., Qi, J., Zhang, X., Zeng, Y., Shui, W., Xu, Z., Zhang, R., Wu, X. and Cong, J., 2021. A multi-scale daily SPEI dataset for drought characterization at observation stations over mainland China from 1961 to 2018. Earth System Science Data, 13(2), pp.331-341. https://doi.org/10.5194/essd-13-331-2021

2020

1.      Liang, K., Jiang, Y., Qi, J., Fuller, K., Nyiraneza, J. and Meng, F.R., 2020. Characterizing the impacts of land use on nitrate load and water yield in an agricultural watershed in Atlantic Canada. Science of the Total Environment, 729, p.138793.

2.      Gao, L., Qi, J., Li, S., Benoy, G., Xing, Z. and Meng, F.R., Effects of Sampling Frequency on Estimation Errors of Annual Loading for Water Quality Parameters in Different Sized Watersheds. Water Quality Research Journal, 2020.

3.  Qi, J., Zhang, X., Yang, Q., Srinivasan, R., Arnold, J.G., Li, J., Waldholf, S.T. and Cole, J., SWAT ungauged: Water quality modeling in the Upper Mississippi River Basin. Journal of Hydrology, 584, p.124601, 2020.

4.      Qi, J., Du, X., Zhang, X., Lee, S., Wu, Y., Deng, J., Moglen, G.E., Sadeghi, A.M. and McCarty, G.W. Modeling riverine dissolved and particulate organic carbon fluxes from two small watersheds in the northeastern United States. Environmental Modelling & Software, 124, p.104601, 2020.

5.      Qi, J., Lee, S., Zhang, X., Yang, Q., McCarty, G.W. and Moglen, G.E., Effects of surface runoff and infiltration partition methods on hydrological modeling: A comparison of four schemes in two watersheds in the Northeastern US. Journal of Hydrology, 581, p.124415, 2020.

2019

1.      Qi J., Zhang, X., Lee S., Moglen, G.E., Sadeghi, A.M., McCarty, G.W., A coupled surface water storage and subsurface water dynamics model in SWAT for characterizing hydroperiod of geographically isolated wetlands, Advances in Water Resources, 131:103380,2019.

2.      Qi, J.*, Wang, Q., Zhang, X., On the use of NLDAS2 weather data for hydrologic modeling in the Upper Mississippi River Basin. Water, 11: 960, 2019.

3.      Liang, K. , Jiang, Y., Qi, J., Fuller, K., Nyiraneza, J. and Meng, F.R., Characterizing the impacts of land use on nitrate load and water yield in an agricultural watershed in Atlantic Canada. Science of the Total Environment, p.138793.,2020.

4.      Qi, J., Zhang, X.,Wang, Q., Improving hydrological simulation in the Upper Mississippi River Basin through enhanced freeze-thaw cycle representation. Journal of Hydrology, 571:605-618, 2019.

5.      Qi, J.,* Zhang, X. and Cosh, M.H., Modeling soil temperature in a temperate region: A comparison between empirical and physically based methods in SWAT. Ecological Engineering, 129:134-143, 2019.

6.      Qi, J.,* 2019. A brief review on SWAT applications in the Great Lakes Watersheds

2018

1.      Qi, J., Zhang, X., McCarty, G.W., Sadeghi, A.M., Cosh, M.H., Zeng, X., Gao, F., Daughtry, C.S., Huang, C., Lang, M.W., Arnold, J.G., Assessing the performance of a physically-based soil moisture module integrated within the Soil and Water Assessment Tool. Environmental Modelling & Software, 109:329-341, 2018.

2.      Qi, J.*, Li, S., Bourque, C.P., Xing, Z. and Fan-Rui, M., Developing a decision support tool for assessing land use change and BMPs in ungauged watersheds based on decision rules provided by SWAT simulation. Hydrology and Earth System Sciences, 22(7):3789-3806, 2018.

3.      Qi, J.*, Liang, K. ∆, Li, S., Wang, L. and Meng, F.R., Hydrological evaluation of flow diversion terraces using downhill-slope calculation method for high resolution and accuracy DEMs. Sustainability,10(7):2414, 2018.

2017 and before

1.      Jiang, T., Qi, J., Liu, Q., Qu, C., Wang, M., Chu, J., Seasonal Variations of Hydrochemical Characteristics of Groundwater in Changping Plain, Beijing. Journal of Resources and Ecology, 8(6):655-663, 2017.

2.      Qi, J., Li, S., Yang, Q., Xing, Z., Meng, F.R., SWAT setup with long-term detailed landuse and management records and modification for a micro-watershed influenced by freeze-thaw cycles. Water Resources Management, 31(12): 3953-3974, 2017.

3.      Qi, J., Li, S., Jamieson, R., Hebb, D., Xing, Z., Meng, F.R., Modifying SWAT with an energy balance module to simulate snowmelt for maritime regions. Environmental Modelling & Software, 99:146-160, 2017.

4.      Zhang, C., Li, S., Qi, J., Xing, Z., Meng, F.R., Assessing impacts of riparian buffer zones on sediment and nutrients loading into streams at watershed scale using an integrated REMM-SWAT model. Hydrological Processes, 31(4): 916-924, 2016.

5.      Qi, J., Li, S., Li, Q., Xing, Z., Bourque, C.P.A., Meng, F.R., Assessing an enhanced version of SWAT on water quantity and quality simulation in regions with seasonal snow cover. Water Resources Management, 30(14):5021-5037, 2016.

6.      Qi, J., Li, S., Li, Q., Xing, Z., Bourque, C.P.A., Meng, F.R., A new soil-temperature module for SWAT application in regions with seasonal snow cover. Journal of Hydrology, 538:863-877, 2016.

7.      Sun, L., S., Yang, F., Wang, J., Fang, H., Qi, J., Impacts of forest types on soil C, N and DOC loss in runoff in the laterite hilly region of southern China. Environmental Earth Sciences,74(2):1391-1402, 2015.

8.      Chen, Y., Zhou, Q., Li, S., Meng, F.R., Bi, X., Wilson, J. P., Xing, Z., Qi, J., Li, Q., Zhang, C., The simulation of surface flow dynamics using a flow-path network model. International Journal of Geographical Information Science, 28(11): 2242-2260, 2014.

9.      Li, Q., Qi, J., Xing, Z., Li, S., Jiang, Y., Danielescu, S., Zhu, H., Wei, X., Meng, F.R., An approach for assessing impact of land use and biophysical conditions across landscape on recharge rate and nitrogen loading of groundwater. Agriculture, Ecosystems & Environment, 196:114-124, 2014.

10.  Duan, C., Zhang, S., Li, J., Zhang, C., Qi, J., Wu, Y., Analysis on rainfall-runoff characteristics and simulation of the different hydrologic year runoff of Xilin River Basin in Inner Mongolia based on SWAT model. Research of Soil and Water Conservation, 21(5):292-297, 2014.

11.  Xia, J., Chen, J., Weng, J., Yu, L., Qi, J., Liao, Q., Vulnerability of water resources and its spatial heterogeneity in Haihe River Basin, China. Chinese Geographical Science, 24(5):525–539, 2014.

12.  Qi, J., Cai, Q., Sun, L., Zonal differences of runoff and sediment reduction effects for typical management small watersheds in China. International Soil and Water Conservation Research,1(1):39-48, 2013.

13.  Huang, Q., Qi, J., Liu, J., Meng, F.R., Bourque, C.P., NDVI and WAM analysis for grassland desertification risk index modelling. International Journal of Applied Mathematics and Statistics, 51(24):575-584, 2013.

14.  "The influence of soil and water conservation on the relationship between water and sediment in different spatial scales and their effects on water and sediment reduction" in Cai, Q., et al., 2012. “Paradigms for integrated soil and water conservation over main water erosion regions in China”. China Water & Power Press, Beijing.

15.  Chen, X., Cai, Q., Zhang, L., Zheng, M., Qi, J., Li, J., Impact of slope length on soil erosion under different rainfall intensity in a hilly loess region on the Loess Plateau. Chinese Journal of Soil Science, 42(3):721-725, 2011.

16.  Qi, J., Cai, Q., Cai, L., Sun, L., Scale effect of runoff and sediment reduction effects of soil and water conservation measures in Chabagou, Dalihe and Wudinghe Basins. Progress in Geography,30(1):95-102, 2011.

17.  Nie, B., Cai, Q., Qi, J., Cui, P., Chen, X., Analysis on the suitability of natural ecological restoration for soil and water conservation. Science of Soil and Water Conservation, 8(4):114-120, 2010.

18.  Chen, X., Cai, Q., Zhang, L., Qi, J., Zheng, M., Nie, B., Research on critical slope of soil erosion in a hilly loess region on the Loess Plateau. Journal of Mountain Science, 28(4):415-421, 2010.

19.  Qi, J., Cai, Q., Fang, H., Chen, X., Nie, B., Cui, P., Effects of soil and water conservation on reduction of runoff and sediment in Chabagou Watershed. Science of Soil and Water Conservation, 8(1):28-33, 2010.