王金亮导师研究小组论文在SCI期刊Advances in Space Research上线发表

2021年8月28日，以玉院和（云南师范大学旅游与地理科学学院地图学与地理信息系统专业2017级硕士研究生，现为南京师范大学地理科学学院地图学与地理信息系统专业2020级博士研究生）为第一作者、王金亮教授为通讯作者撰写题为“Simulation and mapping of drought and soil erosion in Central Yunnan Province, China”论文在SCI/SCIE期刊Advances in Space Research（升级版三区，2020年IF 2.152）上线发表（https://doi.org/10.1016/j.asr.2021.08.028）。

滇中是云南省的政治、经济、文化和交通枢纽，进行滇中地区干旱和水土流失的模拟与制图对实现可持续发展具有重要意义。基于多源遥感数据，考虑多种干旱因子和土壤侵蚀因素，构建了综合干旱监测模型和土壤侵蚀模型，探讨2010-2018年滇中地区干季干旱和土壤侵蚀的时空变化特征，并利用土壤侵蚀强度指数（SEII）探讨不同单元的土壤侵蚀程度。研究发现土壤侵蚀强度指数与干旱程度呈显著正相关，而造林种草、提高植被覆盖度等水土保持措施有利于改善滇中地区的土壤侵蚀和干旱情况。

Fig. 1. Drought characteristics of Central Yunnan Province, China from 2009 to 2018. (a) Drought coverage of Central Yunnan Province during the dry season; (b) Mean value of the multi-year, dry-season comprehensive drought index (CDI); (c) Drought frequency (times); (d) Mann-Kendall (M-K) trend test of CDI during the dry season

Fig. 2. Spatial distribution of soil erosion (a, b and c represent 2010, 2015, and 2018, respectively) and soil erosion intensity index (SEII) of each county (d, e, and f represent 2010, 2015, and 2018, respectively) within Central Yunnan Province, China from 2009 to 2018

该论文得到了王金亮教授主持的国家重点研发计划政府间国际科技创新合作重点专项：用地理空间技术监测和评估土地利用/土地覆被变化对区域生态安全的影响（2018YFE0184300）、云南基础研究重点项目：北回归线（云南）旅游大健康产业地理环境科学考察（项目批准号：2019FA017）和云南省高校高原山地资源环境遥感监测与评估科技创新团队（IRTSTYN）的资助。

这是玉院和同学发表的第6篇SCIE学术论文（详见录1），让我们恭喜玉院和同学！希望她再接再厉！也热烈祝贺团队取得好成绩！

截止2021年9月8日，王金亮团队2021年发表学术论文16篇，其中SCIE论文6篇，CSCD论文10篇（详见附录2、附录3）。

论文相关信息

标题：Simulation and mapping of drought and soil erosion in Central Yunnan Province, China

作者：Yuanhe Yu^{a, c,d}, Yuzhen Shen^a,c,d, Jinliang Wang^b,*, Yuchun Wei^{a, c,d,}*, Zhiyuan Liu ^e

通讯作者：Jinliang Wang

作者单位：

^a School of Geography, Nanjing Normal University, Nanjing 210023, China;

^b Faculty of Geography, Yunnan Normal University, Kunming 650500, China;

^c Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China;

^d Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing, 210023, China;

^e Institute of Meteorological Science of Qinghai Province, Xining 810001, China

出版物：Advances in Space Research

摘要：Central Yunnan Province is the political, economic, cultural, and transportation hub of Yunnan Province, China. Climate change has resulted in increased seasonality of global averaged precipitation, temperature, runoff, and evapotranspiration, thereby exacerbating extreme events such as drought and soil erosion. The simulation and mapping of drought and soil erosion within Central Yunnan Province is important for achieving sustainable development. This study constructed a comprehensive drought monitoring model and a soil erosion model based on multiple sources of remote sensing data, considering numerous drought and soil erosion factors. The temporal and spatial characteristics of dry-season drought and soil erosion for 2010 to 2018 in Central Yunnan Province were explored, and the extents of soil erosion in different parts of Central Yunnan Province were quantified using the soil erosion intensity index. The results showed that: (1) The multi-year average percentage dry-season drought coverage and average drought frequency were 33.98% and 18.33 months, respectively. Although drought frequency was higher in areas with high drought intensity, dry-season drought showed a long-term weakening trend. (2) Over the study period, the multi-year average soil erosion of Central Yunnan Province was 1,551.45 t km⁻²·yr⁻¹. Soil erosion showed an initial overall increasing trend, followed by a decreasing trend, dominated by micro erosion, mild erosion, and moderate erosion, whereas the mountains and valleys in north and southwest parts of Central Yunnan Province experienced severe erosion. Vegetation coverage and slope were identified as the main factors driving soil erosion. (3) The soil erosion intensity index was a good indicator of soil erosion severity across different spatial scales and different drought grades. The soil erosion intensity index showed a positive relationship with drought grade. The correlation coefficients between soil erosion intensity and drought frequency and between soil erosion intensity and drought intensity were 0.2623 and −0.2679, respectively. This study demonstrated that drought affects soil erosion and that water and soil conservation measures such as afforestation and vegetation greening are beneficial to mitigating soil erosion and drought in Central Yunnan Province.

关键词：Comprehensive drought index; Soil erosion; Soil erosion intensity index; Climate change; Central Yunnan Province

附录1 玉院和同学发表6篇SCI论文清单

2017年9月硕士入学至今，玉院和在王金亮教授指导下发表了9篇学术论文，其中的SCI论文6篇。6篇SCI论文信息如下：

[6] Yuanhe Yu,Yuzhen Shen, Jinliang Wang*, Yuchun Wei, Zhiyuan Liu. Simulation and mapping of drought and soil erosion in Central Yunnan Province, China[J] Advances in Space Research, 2021,  online.

DOI: https://doi.org/10.1016/j.asr.2021.08.028  (SCI升级版三区, 2020年IF: 2.152)

[5] Jinliang Wang, Yuanhe Yu^*. Comprehensive drought monitoring in Yunnan Province, China using multisource remote sensing data[J]. Journal of Mountain Science, 2021, 18(6):1537-1549.

DOI: https://doi.org/10.1007/s11629-020-6333-7  (SCIE三区, 2020 IF: 2.071)

[4] Yuanhe Yu, Yuzhen Shen, Jinliang Wang^*, Yuchun Wei^*, Lanping Nong, Huan Deng. Assessing the response of vegetation change to drought during 2009-2018 in Yunnan Province, China[J]. Environmental Science and Pollution Research, 2021, 28: 47066–47082.

DOI: https://doi.org/10.1007/s11356-021-13835-4  (SCI/SCIE 三区, 2020年IF: 4.223)

[3] Yuanhe Yu, Jinliang Wang^*, Feng Cheng, Huan Deng, Sheng Chen. Drought monitoring in Yunnan Province based on a TRMM precipitation product[J]. Natural Hazards, 2020, 104(3): 2369-2387.

DOI: https://doi.org/10.1007/s11069-020-04276-2  (SCI 三区, 2019年IF: 2.427)

[2] Yuanhe Yu, Jinliang Wang^*, Feng Cheng, Yun Chen. Soil Moisture by Remote Sensing Retrieval in the Tropic of Cancer of Yunnan Province[J]. Polish Journal of Environmental Studies, 2020, 29(2): 1981-1993.

DOI: https://doi.org/10.15244/pjoes/110203  (SCI 四区, 2019年IF: 1.383)

[1] Yuanhe Yu, Jinliang Wang^*, Guangjie Liu, Feng Cheng. Forest Leaf Area Index Inversion Based on Landsat OLI Data in the Shangri-La City[J]. Journal of the Indian Society of Remote Sensing, 2019, 47(6): 967-976.

DOI: https://doi.org/10.1007/s12524-019-00950-6  (SCI 四区, 2019年IF: 0.997)

附录2  王金亮导师团队2021年发表6篇SCIE论文清单

截止2021年9月8日，王金亮导师团队2021年已经发表SCI论文6篇。信息如下：

[6]Yuanhe Yu, Yuzhen Shen, Jinliang Wang*, Yuchun Wei, Zhiyuan Liu. Simulation and mapping of drought and soil erosion in Central Yunnan Province, China[J].Advances in Space Research

DOI: https://doi.org/10.1016/j.asr.2021.08.028  (SCI升级版三区, 2020年IF 2.152)

(Online August 30, 2021)

[5]Jinliang Wang, Yuanhe Yu^*. Comprehensive drought monitoring in Yunnan Province, China using multisource remote sensing data[J]. Journal of Mountain Science, 2021, 18(6):1537-1549.

DOI: https://doi.org/10.1007/s11629-020-6333-7  (SCIE三区, 2019年IF 1.550)

(Online June 17, 2021)

[4]Jie Li, Jinliang Wang*, Jun Zhang, Jianpeng Zhang, Han Kong.Dynamic changes of vegetation coverage in China-Myanmar economic corridor over the past 20 years[J], International Journal of Applied Earth Observation and Geoinformation

DOI: https://doi.org/10.1016/j.jag.2021.102378  (SCIE一区,Top期刊,2019年IF 4.650)

(Online June 8, 2021)

[3]Fang Liu, Wanbin Wang, Jinliang Wang*, Xingzi Zhang, Jing Ren, Yuexiong Liu. Multi- scale Analysis of the Characteristics of the Changing Landscape of the Typical

 Mountainous Region of Southwest China over the Past 40 Years[J], Peer J

DOI: https://doi.org/10.7717/peerj.10923  (SCIE 三区，2019年 IF 2.380)  

(Published May 14, 2021)

[2]Yuanhe Yu, Yuzhen Shen, Jinliang Wang*, Yuchun Wei*, Lanping Nong & Huan Deng.  Assessing the response of vegetation change to drought during 2009–2018 in Yunnan Province, China[J], Environmental Science and Pollution Research

DOI: https://doi.org/10.1007/s11356-021-13835-4  (SCIE 三区，2019年IF3.056)

 (Published: 22 April 2021)

[1]Qianwei Liu, Weifeng, Jianpeng Zhang, Yicheng Liu, Dongfan Xu, Jinliang Wang*. Point‑cloud segmentation of individual trees in complex natural forest scenes based on a trunk‑growth method[J]，Journal of Forestry Research 

DOI: https://doi.org/10.1007/s11676-021-01303-1  (SCIE 三区，2019年IF1.689)

 (Published: 04 March 2021)

附录3  王金亮导师团队2021年发表14篇CSCD论文清单

截止2021年9月8日，王金亮导师团队2021年已经发表中文学术论文篇。信息如下：

[14]祁兰兰,王金亮*,叶辉,朱泓.滇中“三湖流域”土地利用景观格局与水质变化关系研究[J/OL].水土保持研究: 1-10[2021-09-08].https://doi.org/10.13869/j.cnki.rswc.20210831.001.  (CSCD, 扩展库）

[13]农兰萍,王金亮*,玉院和.基于改进型遥感生态指数(MRSEI)模型的滇中地区生态环境质量研究[J].生态与农村环境学报,2021,37(08):972-982.  DOI：10.19741/j.issn.1673-4831.2020.0821

（CSCD, 核心库）

[12] YE Hui，BAl Die，TAN Shucheng, SHAO Dajiang, WANG Jinliang*. Evaluating the Ecological Security of Land Resources based on Multi-source Data in the Altay Region of China[J]. Journal of Resources and Ecology, 2021，12(6): 757–765. （CSCD, 核心库）

[11]何苏玲，王金亮*.国土空间规划视角下资源环境承载力评价分析——以昆明市为例[J], 中国农业资源与区划,2021, 网络首发时间:2021-07-13 11:25:56。网络首发地址: https://kns.cnki.net /kcms/detail/11.3513.S.20210713.1111.006.html  （CSCD, 核心库）

[10]麻卫峰,王金亮,麻源源,赵锦平.一种改进的输电线模型参数求解方法[J].测绘工程,2021,30(04):20-25+34.

[9]何苏玲,邹凤琼,王金亮*.基于AHP和MSE赋权法的龙南县生态敏感性评价[J/OL].生态学杂志: 1-12[2021-06-14]. 网络首发地址:https://doi.org/10.13292/j.1000-4890.202109.022. （CSCD,核心库）

[8]刘钱威,王金亮*, 麻卫峰, 张建鹏. 一种复杂背景下林木点云精细提取方法[J], 测绘科学, 2021, 46(8):105-111. DOI:10. 16251/j cnki 1009—2307.202108 015. （CSCD,核心库）

[7]麻卫峰,王成,王金亮,麻源源.点云数据温度变化环境下输电线形态模拟[J].电力系统保护与控制,2021,49(09):90-96.

[6]麻卫峰,王成,王金亮,麻源源,张建鹏.基于激光点云的高压输电线覆冰厚度反演[J].电力系统保护与控制, 2021,49(04):89-95. （CSCD, 核心库）

[5]刘一成,王成,习晓环,王金亮,张海清.距离加权与冠层控制的LiDAR CHM凹坑去除方法[J].测绘科学,2021,46(04):108-113. （CSCD, 核心库）

[4]叶辉,王金亮*,赵娟娟.基于DPSIR-EES模型的北回归线(云南段)生态安全评价[J].水土保持研究,2021,28(03):291-298. （CSCD,扩展库）

[3]张艳可,王金亮*,苏怀,程峰.基于CART决策树的双尺度流域单元地貌分类研究——以北回归线(云南段)地区为例[J].地理与地理信息科学,2021,37(02):84-92. （CSCD,核心库）

[2]张建鹏,王成,王金亮*.点云密度和体素大小对单木LAI反演的影响[J].遥感信息, 2021, 36(01): 112-119.（CSCD, 核心库）

[1]张艳可,王金亮*.,农兰萍,程峰,张云峰.基于MODIS时序数据北回归线（云南段）地区植被物候时空变化及其对气候响应分析[J].生态环境学报,2021,30(02):274-287. （CSCD,核心库）

（2021年9月8日 王金亮导师研究小组供稿）