基本信息：
周秋文 教授 硕士生导师
E-mail: zouqiuwen@163.com
地址：贵州省贵安新区花溪大学城 邮编：550025
研究方向：喀斯特生态水文过程，生态水文遥感。包括喀斯特关键带垂向水分互馈机制、喀斯特地区植被恢复的水文效应、喀斯特地区气候变化与土地利用变化的径流效应。
Dr. Qiuwen Zhou
Professor, School of Geography and Environmental Sciences, Guizhou Normal University, P. R. China
E-mail: zouqiuwen@163.com
Address: No. 116 Baoshanbeilu, Yunyan District, Guiyang, 550025, P. R. China
Dr. Zhou mainly studies the karst eco-hydrological processes, including the vertical water mutual feedback mechanism in the key zoneof karst area, the hydrological effects of vegetation restoration in karst areas, and the runoff effects of climate change and land cover change in karst areas.
工作经历:
2019.08-2020.08 美国德州农工大学 访问****
2018.12- 贵州师范大学 地理与环境科学学院 教授
2014.07-2018.12 贵州师范大学 地理与环境科学学院 副教授
Visiting Experience:
Aug. 2019 – Aug. 2020 Department of Ecological Science and Management, Texas A&M University, visiting Scholar, PI: Prof. Bradford Wilcox
Nov. 2012 Department of geography, University of Wisconsin–Madison, visiting student, PI: Prof. A-xing Zhu
教育背景:
2011.09-2014.07 北京师范大学 地理学与遥感科学学院 地图学与地理信息系统 博士研究生
Education:
Sep. 2011 – Jul. 2014 PhD. Hydrological Remote Sensing, School of Geography and Remote sensing, Beijing Normal University
获奖情况:
2018年度贵州省自然科学奖 一等奖
2018年度贵州省测绘地理信息科技进步奖（二等奖，排名第三）
2017年度贵州省测绘地理信息科技进步奖（二等奖，排名第四）
2017年贵州省事业单位工作人员年度考核 优秀
主持项目:
国家自然科学基金：喀斯特江河上游区植被恢复的水文综合响应研究（**）
贵州省科学技术基金：基于稀疏样点的喀斯特复杂地形区土壤水分空间估算方法研究（黔科合J字[2015]2118号）（已结题，优秀等次）
贵州省本科教学工程建设项目：地理与环境生态大学生创新训练中心（2016DC03）
黄河水利委员会项目：汾河流域典型区土地利用与植被盖度遥感信息提取（2015年）
郑州大学项目：汾河流域地表覆盖与植被信息解译（2015年）
参与项目：
国家自然科学基金委员会-贵州省人民政府喀斯特科学研究中心项目：喀斯特生物多样性形成和维持的钙依赖机制及其应用基础（U**）
Fundings:
Hydrological comprehensive response of vegetation restoration in the upper reaches of karst rivers, National Natural Science Foundation of China, Grant No. **
Calcium-dependent mechanism for the formation and maintenance of karst biodiversity and its application basis, National Natural Science Foundation of China - Guizhou Provincial Government Joint Program, Grant No. U**
野外实验与观测/ Field Sites and Works:


发表论文/Publications：
[1]Zhou, Q., Wei, X., Zhou, X., Cai, M., & Xu, Y.. (2019). Vegetation coverage change and its response to topography in a typical karst region: the lianjiang river basin in southwest china. Environmental Earth Sciences, 78(6). DOI：10.1007/s12665-019-8218-z
[2]Zhou, Q., Sun, Z.; Liu, X.; Wei, X.; Peng, Z.; Yue, C.; Luo, Y. Temporal Soil Moisture Variations in Different Vegetation Cover Types in Karst Areas of Southwest China: A Plot Scale Case Study. Water. 2019, 11, 1423.
[3]Zhou, Q., Luo, Y., Zhou, X., Cai, M., & Zhao, C. (2018). Response of vegetation to water balance conditions at different time scales across the karst area of southwestern China—A remote sensing approach.Science ofthe Total Environment,645, 460-470.
[4]Zhou, Q., Keith, D. M., Zhou, X., Cai, M., Cui, X., Wei, X., & Luo, Y. (2018). Comparing the Water-holding Characteristics of Broadleaved, Coniferous, and Mixed Forest Litter Layers in a Karst Region.Mountain research and development,38(3), 220-230.
[5]Zhou, Q., Zhou, X., Luo, Y., & Cai, M. (2018). The Effects of Litter Layer and Topsoil on Surface Runoff during Simulated Rainfall in Guizhou Province, China: A Plot Scale Case Study.Water,10(7), 915.
[6]Zhou, Q., Yang, S., Zhao, C., Cai, M., Lou, H., Luo, Y., & Hou, L. (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.
[7]Zhou, Q., Yang, S., Zhao, C., Cai, M., & Ya, L. (2014). A soil erosion assessment of the upper Mekong River in Yunnan Province, China.Mountain Research and Development,34(1), 36-48.
[8]Zhou, Q., Yang, S., Cai, M., Lu, Y., Zhao, H., & Luo, Y. (2014). Soil erosion and its relationship with topographical factors in a mountainous watershed in the upper Mekong River in Yunnan province, China. Fresenius Environmental Bulletin, 2014, 23(1A):215-222.
[9]Zhao, H., Yang, S., You, S., Huang, Y., Wang, Q., & Zhou, Q. (2018). Comprehensive evaluation of two successive V3 and V4 IMERG final run precipitation products over Mainland China.Remote Sensing,10(1), 34.
[10]Cai, M., Yang, S., Zhao, C., Zhou, Q., & Hou, L. (2017). Insight into runoff characteristics using hydrological modeling in the data-scarce southern Tibetan Plateau: Past, present, and future.PloS one,12(5), e**.
[11]Chen, K., Yang, S., Zhao, C., Li, Z., Luo, Y., Wang, Zhou, Q., & Yu, X. (2016). Conversion of Blue Water into Green Water for Improving Utilization Ratio of Water Resources in Degraded Karst Areas.Water,8(12), 569.
[12]Wang, Z., Yang, S., Zhao, C., Bai, J., Lou, H., Chen, K., ... & Zhou, Q. (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.
[13]Luo, Y., Yang, S., Liu, X., Liu, C., Zhang, Y., Zhou, Q., & Dong, G. (2016). Suitability of revision to MUSLE for estimating sediment yield in the Loess Plateau of China.Stochastic environmental research and risk assessment,30(1), 379-394.
[14]Zhou, X., Yang, S., Liu, X., Liu, C., Zhao, C., Zhao, H., Zhou, Q., & Wang, Z. (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.
[15]Lou, H., Yang, S., Zhao, C., Zhou, Q., Bai, J., Hao, F., & Wu, L. (2015). Phosphorus risk in an intensive agricultural area in a mid-high latitude region of China.Catena,127, 46-55.
[16]Zhao, H., Yang, S., Zhou, Q., Luo, Y., Wang, Z., Wu, L., & Zhou, X. (2014). Utilizing a distributed hydrological model to simulate runoff in the soil erosion region-case of Wei River catchment in Chinese Loess Plateau.Fresenius Environmental Bulletin,23(7a), 1708-1714.
[17]Cai, M. , Yang, S. , Zhao, C. , Zeng, H. , & Zhou, Q. (2013). Estimation of daily average temperature using multisource spatial data in data sparse regions of central asia. Journal of Applied Remote Sensing, 7, 073478.部分中文论文/ Chinese Publications：
[18]刘宽梅,周秋文.典型喀斯特森林土壤抗蚀性研究[J/OL].生态学报,2020(02):1-10[2019-11-20].http://kns.cnki.net/kcms/detail/11.2031.Q.**.1451.004.html.
[19]杨洋,蔡溢,周秋文,杨红梅,吴沛丽,殷红梅.旅游影响下民族村寨社会空间演化过程与机理研究——以贵州西江苗寨为例[J/OL].世界地理研究:1-10[2019-11-20].http://kns.cnki.net/kcms/detail/31.1626.P.**.0853.002.html.
[20]罗娅,杨建红,周秋文,周旭,钟九生,胡馨月,高齐云.贵州高原山区正负地形特征及其对人口分布的影响[J/OL].世界地理研究:1-12[2019-11-20].http://kns.cnki.net/kcms/detail/31.1626.p.**.1539.002.html.
[21]孙智妍,周秋文,张思琪,韦小茶,马龙生.喀斯特地区春季土壤水分空间插值方法对比[J/OL].热带地理:1-10[2019-11-20].https://doi.org/10. 13284/j.cnki.rddl.003169.
[22]孙智妍,周秋文,罗雅雪,韦小茶,余军林.黄壤径流小区植被覆盖度对土壤湿度的影响[J].水资源与水工程学报,2019,30(04):39-46.
[23]莫跃爽,周秋文.贵州省1960-2014年不同地貌类型的气温变化特征[J].水土保持研究,2019,26(04):166-170+176.
[24]周秋文, 李芳. TRMM降雨数据在喀斯特地区的适用性分析—以贵州省为例[J]. 水资源与水工程学报, 2018(2).
[25]周秋文, 李璇, 郭兴房. 喀斯特地区枯落物层对地表径流和土壤侵蚀的影响研究[J]. 水文, 2018(4).
[26]周秋文, 朱红. 基于Horton模型的涟江流域马尾松林冠截留模拟[J]. 生态科学, 2018(2).
[27]周秋文, 龙阳阳, 张思琪. 模拟降雨条件下岩溶地区马尾松林下地表径流特征[J]. 水电能源科学, 2018(2):24-27.
[28]罗雅雪, 张思琪, 颜红,等. 亚喀斯特林地野外模拟降雨条件下地表径流特征[J]. 水资源与水工程学报, 2018(1).
[29]韦小茶, 周秋文, 崔兴芬,等. 喀斯特针叶林枯落物层水文效应[J]. 生态科学, 2017, 36(4):120-127.
[30]周秋文, 杨胜天, 蔡明勇. 雅鲁藏布江-布拉马普特拉河流域GDP数据空间化估算与分析[J]. 南水北调与水利科技, 2017, 15(5):176-182.
[31]周秋文, 罗雅雪, 张思琪,等. 喀斯特地区土壤可蚀性因子空间估算研究进展[J]. 贵州师范大学学报(自然版), 2017(6):16-21.
[32]周秋文, 尤倩. 喀斯特地区不同林型土壤持水性分析[J]. 水资源与水工程学报, 2017(6):226-231.
[33]周秋文, 杨胜天, 廖华,等. 地缘环境单元划分方法及实例研究[J]. 世界地理研究, 2016, 25(4):58-66.
[34]周秋文, 韦小茶, 许幼霞,等. 清水河流域1978—2010年土地利用变化时空特征[J]. 测绘工程, 2016, 25(11):12-17.
[35]周秋文, 颜红, 马龙生,等. 喀斯特地区典型针叶林的降雨截留分配效应[J]. 生态科学, 2016, 35(6):140-145.
[36]周秋文, 马龙生, 颜红,等. 贵州省喀斯特阔叶林降雨截留分配特征[J]. 水土保持通报, 2016, 36(6):321-325.
[37]周秋文, 罗娅, 苏维词,等. 基于多元信息的岩溶区植被类型信息快速提取方法构建[J]. 生态科学, 2015, 34(1):135-141.