Gully erosion susceptibility maps and influence factor analysis in the Lhasa River Basin on the Tibetan Plateau, based on machine learning algorithms

冲沟侵蚀 腐蚀 高原(数学) 仰角(弹道) 水文学(农业) 流域 植被(病理学) 构造盆地 逻辑回归 环境科学 自然地理学 地质学 地貌学 地理 地图学 统计 岩土工程 几何学 数学分析 病理 医学 数学
作者
Jianjun Li,Yulan Chen,Juying Jiao,Yixian Chen,Tongde Chen,Chao Zhao,Li Wang,Tian‐Cui Shang,Qian Xu,Haolin Wang,Leichao Bai
出处
期刊:Catena [Elsevier]
卷期号:235: 107695-107695 被引量:1
标识
DOI:10.1016/j.catena.2023.107695
摘要

The environment of the Tibetan Plateau is under stress due to the warming climate and increased human activity, which also increases the risk of soil erosion. Gully erosion is one of the main environmental problems in the Tibetan Plateau. Taking Lhasa River Basin as a representative, investigating the spatial variation and influencing factors in this area will help to understand the current status and mechanism of gully erosion. However, gully erosion factor analysis has not been carried out at the regional scale. Therefore, three machine learning algorithms, including Random Forest (RF), Support Vector Machine, and Logistic Regression, were used to analyze 2224 samples and 18 influencing factors and detect the gully erosion susceptibility in the Lhasa River Basin. Seventy percent of the samples were used to train the model and rank the influencing factors by importance, and 30% were used to assess the prediction ability of the model. Approximately 15%–20% of the study area has a high or very high gully erosion susceptibility. The slopes of the lower Lhasa River and the Nyenchen Tanglha valleys were identified as areas with a high gully erosion susceptibility. The RF model exhibits the best performance, with area under the curve (AUC) values of 0.969 and 0.894 for the training and testing datasets, respectively. The main factors affecting the occurrence of gully erosion were determined to be the elevation, normalized difference vegetation index, relief, human footprint, mean annual temperature, and distance to the residential area. Elevation has the greatest effect on gully erosion, which can be explained as elevation indirectly controls gully erosion by affecting human activities and rainfall. The findings of this study provide insights into the effects of human activities, climate and permafrost on soil erosion and can serve as a basis for regional land use planning and gully erosion prevention and control in the Tibetan Plateau.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
张小苟完成签到,获得积分0
1秒前
1秒前
1秒前
赘婿应助小酒采纳,获得10
2秒前
高贵灵槐完成签到 ,获得积分10
2秒前
2秒前
十一完成签到 ,获得积分10
3秒前
cnkly完成签到,获得积分10
3秒前
酷波er应助激情的饼干采纳,获得10
3秒前
帅哥牛紫发布了新的文献求助10
3秒前
杨羕完成签到,获得积分10
4秒前
4秒前
陈永伟完成签到,获得积分10
4秒前
5秒前
情怀应助heidi采纳,获得10
5秒前
时尚凡雁完成签到,获得积分10
5秒前
WindDreamer完成签到,获得积分10
6秒前
舒心的怜翠完成签到 ,获得积分10
6秒前
6秒前
js110完成签到,获得积分10
6秒前
7秒前
客厅狂欢完成签到,获得积分10
7秒前
水聿_pursuing_1完成签到,获得积分10
7秒前
8秒前
时尚凡雁发布了新的文献求助10
8秒前
8秒前
河马发布了新的文献求助10
8秒前
墨aizhan发布了新的文献求助10
9秒前
9秒前
pbqyun完成签到,获得积分10
9秒前
121发布了新的文献求助10
9秒前
AFsumo完成签到,获得积分10
11秒前
11秒前
善学以致用应助吱哦周采纳,获得10
11秒前
北陌完成签到,获得积分10
11秒前
好不了一丶完成签到,获得积分10
11秒前
12秒前
美满的稚晴完成签到 ,获得积分10
12秒前
12秒前
大道发布了新的文献求助10
12秒前
高分求助中
The late Devonian Standard Conodont Zonation 2000
Nickel superalloy market size, share, growth, trends, and forecast 2023-2030 2000
The Lali Section: An Excellent Reference Section for Upper - Devonian in South China 1500
Very-high-order BVD Schemes Using β-variable THINC Method 890
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 800
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 800
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3257464
求助须知:如何正确求助?哪些是违规求助? 2899400
关于积分的说明 8305459
捐赠科研通 2568655
什么是DOI,文献DOI怎么找? 1395219
科研通“疑难数据库(出版商)”最低求助积分说明 652967
邀请新用户注册赠送积分活动 630767