基于RUSLE模型的云南省土壤侵蚀和养分流失特征分析

陈正发; 龚爱民; 宁东卫; 张刘东; 王建雄; 相彪

doi:10.13870/j.cnki.stbcxb.2021.06.002

您当前的位置：

首页 >

文章列表页 >

基于RUSLE模型的云南省土壤侵蚀和养分流失特征分析

更新时间：2025-03-12

- 基于RUSLE模型的云南省土壤侵蚀和养分流失特征分析
- Characteristics of Soil Erosion and Nutrient Loss in Yunnan Province Based on RUSLE Model
- 水土保持学报 2021年35卷第6期页码：7-14
- 作者机构：
  
  1. 云南农业大学水利学院,昆明,650201
  2. 云南省农业节水工程技术研究中心,昆明,650201
- 作者简介：
  
  [ "陈正发(1985-),男,云南砚山人,博士,讲师,主要从事水土生态工程方面的研究。E-mail:chenzhengfa2013@126.com" ]
- 基金信息：
  
  云南农业大学引进人才科研启动项目（A2032021031）
- DOI：10.13870/j.cnki.stbcxb.2021.06.002
  中图分类号： S157.1
- 纸质出版：2021
- 稿件说明：
移动端阅览
陈正发, 龚爱民, 宁东卫, 等. 基于RUSLE模型的云南省土壤侵蚀和养分流失特征分析[J]. 水土保持学报, 2021,35(6):7-14.

CHEN Zhengfa, GONG Aimin, NING Dongwei, et al. Characteristics of Soil Erosion and Nutrient Loss in Yunnan Province Based on RUSLE Model[J]. 2021, 35(6): 7-14.
陈正发, 龚爱民, 宁东卫, 等. 基于RUSLE模型的云南省土壤侵蚀和养分流失特征分析[J]. 水土保持学报, 2021,35(6):7-14. DOI： 10.13870/j.cnki.stbcxb.2021.06.002.

CHEN Zhengfa, GONG Aimin, NING Dongwei, et al. Characteristics of Soil Erosion and Nutrient Loss in Yunnan Province Based on RUSLE Model[J]. 2021, 35(6): 7-14. DOI： 10.13870/j.cnki.stbcxb.2021.06.002.

摘要

准确评估区域土壤侵蚀和养分流失空间分布特征，是开展区域水土保持规划和生态治理的基础。基于GIS空间分析技术和RUSLE模型，对云南省土壤侵蚀和养分流失特征进行定量化分析。结果表明：云南省土壤侵蚀面积为1 835.91×104 hm2，占总面积的48.07%，平均侵蚀模数为15.65 t/（hm2·a），土壤侵蚀以微度侵蚀、轻度侵蚀为主，但极强烈侵蚀、剧烈侵蚀是区域侵蚀产沙的主要来源。滇西南区土壤侵蚀强度较大，而滇西北区土壤侵蚀强度较小。区域土壤侵蚀主要发生在夏季，旱地是区域侵蚀产沙的主要策源地。流失土层厚度集中分布在0~2 mm/a，平均土层流失厚度为1.19 mm/a。土壤有机质（SOM）、全氮（TN）、速效钾（AK）、有效磷（AP）的平均流失模数分别为820.00，55.19，3.32，0.32 kg/（hm2·a），4种养分流失量空间分布均存在一定的聚集特征，总体表现为滇西区等西部区域大于东部区域。研究结果可为云南省水土保持规划和水土流失生态环境建设提供科学依据。

Abstract

Accurate assessment of spatial distribution characteristics of soil erosion and nutrient loss is the basis of regional soil and water conservation and ecological environment governance. Based on GIS spatial analysis technology and RUSLE model

soil erosion and nutrient loss were quantitatively evaluated in Yunnan Province. The results showed that the soil erosion area was 1 835.91×104 hm2 in Yunnan Province

accounting for 48.07% of the total area

and the mean annual erosion modulus was 15.65 t/(hm2·a) with a total of 597.52×106 t/a of potential soil loss. The intensity of soil erosion was mainly micro-erosion and mild erosion

but extremely strong erosion and severe erosion were the main sources of sediment yield. The soil erosion intensity was higher in southwestern Yunnan and lower in northwestern Yunnan. Soil erosion mainly occurred in summer (June-August)

and dry land was the main source of sediment yield. The thickness of the lost soil layer was mainly distributed between 0 and 2 mm/a

and the average value was 1.19 mm/a. As the thickness of the lost soil layer increasing

the proportion of the corresponding area presented a decreasing trend. The average loss modulus of soil organic matter (SOM)

total nitrogen (TN)

available potassium (AK) and available phosphorus (AP) was 820.00 kg/(hm2·a)

55.19 kg/(hm2·a)

3.32 kg/(hm2·a)

0.32 kg/(hm2·a)

respectively. The spatial distribution of the four nutrient losses had certain aggregation characteristics

and the overall performance was that the western region was larger than the eastern region. These findings could provide scientific basis for water and soil conservation planning and ecological environment construction in Yunnan Province.

关键词

Keywords

references

Karlen D L, Rice C W. Soil degradation:Will humankind ever learn?[J].Sustainability, 2015, 7:12490-12501.

Guo S S, Zhu Z R, Lyu L T. Effects of climate change and human activities on soil erosion in the Xihe River Basin, China[J/OL].Water, 2018, 10:1085. https://doi.org/10.3390/w10081085.

Uddin K, Matin A M, Maharjan S. Assessment of land cover change and its impact on changes in soil erosion risk in Nepal[J].Sustainability, 2018, 10(12):1-20.

贺缠生, 傅伯杰, 陈利顶.非点源污染的管理及控制[J].环境科学, 1998, 19(5):87-91.

Sharda V N, Ali S. Evaluation of the universal soil loss equation in semi-arid and sub-humid climates of India using stage dependent C-factor[J].Indian Journal of Agricultural Sciences, 2008, 78(5):422-427.

Amini H, Honarjoo N, Jalaliyan A, et al. A comparison of EPM and WEPP models for estimating soil erosion of Marmeh Watershed in the south Iran[J].Agriculture and Forestry, 2014, 60(4):299-315.

高海东, 李占斌, 李鹏, 等.黄土高原多尺度土壤侵蚀与水土保持研究[M].北京:科学出版社, 2016.

Bagarello V, Di Stefano C, Ferro V, et al. Predicting maximum annual values of event soil loss by USLE-type models[J].Catena, 2017, 155:10-19.

Chatterjee S, Krishna A P, Sharma A P. Geospatial assessment of soil erosion vulnerability at watershed level in some sections of the Upper Subarnarekha river basin, Jharkhand, India[J].Environmental Earth Sciences, 2014, 71(1):357-374.

武国胜, 林惠花, 曾宏达.用RS和GIS技术评价福建省长汀县土壤保持功能对生态系统变化的响应[J].生态学报, 2017, 37(1):321-330.

刘金巍, 靳甜甜, 刘国华, 等.黑河中上游地区2000-2010年土地利用变化及水土保持服务功能[J].生态学报, 2014, 34(23):7013-7025.

任艳芳, 何俊瑜, 张艳超, 等.贵州省开阳茶园土壤养分状况与肥力质量评价[J].土壤, 2016, 48(4):668-674.

Duan X W, Gu Z J, Li Y G, et al. The spatiotemporal patterns of rainfall erosivity in Yunnan Province, southwest China:An analysis of empirical orthogonal functions[J].Global and Planetary Change, 2016, 144:82-93.

杨长明, 欧阳竹, 杨林章, 等.农业土地利用方式对华北平原土壤有机碳组分和团聚体稳定性的影响[J].生态学报, 2006, 26(12):4148-4155.

Rezaei S A, Gilkes R J, Andrews S S. A minimum data set for assessing soil quality in range lands[J].Geoderma, 2006, 136:229-234.

赵明松, 李德成, 张甘霖, 等.基于RUSLE模型的安徽省土壤侵蚀及其养分流失评估[J].土壤学报, 2016, 53(1):28-38.

赵珂, 饶懿, 王丽丽, 等.西南地区生态脆弱性评价研究:以云南、贵州为例[J].地质灾害与环境保护, 2004, 15(2):38-42.

陈正发, 史东梅, 何伟, 等.1980-2015年云南坡耕地资源时空分布及演变特征分析[J].农业工程学报, 2019, 35(15):256-265.

王宇, 韩兴, 赵占军, 等.垄沟秸秆覆盖对黑土顺坡耕地氮、磷养分阻控效果[J].水土保持学报, 2016, 30(1):137-140.

郭新送, 宋付朋, 高杨, 等.模拟降雨下3种类型土壤坡面的泥沙流失特征及其养分富集效应[J].水土保持学报, 2014, 28(3):23-28.

杨子生.云南省金沙江流域土壤流失方程研究[J].山地学报, 2002, 20(增刊):1-9.

郭志民.山地赤红壤可蚀性特征研究[J].水土保持科技情报, 2001(3):8-9.

陈正发, 史东梅, 何伟, 等.云南省降雨侵蚀力时空分布与演变趋势研究[J].农业机械学报, 2017, 48(10):209-219.

刘宝元, 毕小刚, 符素华, 等.北京土壤流失方程[M].北京:科学出版社, 2010.

Hickey R. Slope angle and slope length solutions for GIS[J].Cartography, 2000, 29(1):1-8.

王克勤, 宋泽芬, 李太兴, 等.抚仙湖一级支流尖山河小流域的面源污染物贡献特征[J].环境科学学报, 2009, 29(6):1321-1328.

Biggelaar C D, Lal R, Eswaran H, et al. Crop yield losses to soil erosion at regional and global scales:Evidence from plot-level and GIS data[M].Land Quality, Agricultural Productivity, and Food Security; Wiebe K Ed, Edward Elgar:Cheltenham, UK, 2003:262-279.

Zhou Q W, Yang S T, Zhao C S, et al. A soil erosion assessment of the upper Mekong River in Yunnan Province, China[J].Mountain Research and Development, 2014, 34(1):36-47.

胡云锋, 韩月琪, 曹巍, 等.中国水土流失研究热点区的空间分布制图[J].生态学报, 2019, 39(16):5829-5835.

范建容, 刘飞, 郭芬芬, 等.基于遥感技术的三峡库区土壤侵蚀量评估及影响因子分析[J].山地学报, 2011, 29(3):306-311.

顾治家, 谢云, 李骜, 等.利用CSLE模型的东北漫川漫岗区土壤侵蚀评价[J].农业工程学报, 2020, 36(11):49-56.

Li Y Q, Zhang S H, Peng Y. Soil erosion and its relationship to the spatial distribution of land use patterns in the Lancang River Watershed, Yunnan Province, China[J].Agricultural Sciences, 2015, 6(8):823-833.

浏览量

1371

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

滇西北云龙县2000—2020年土壤侵蚀时空演变特征及影响因素

东北典型黑土区土壤侵蚀对有机碳时空变化特征的影响

龙川江流域近20年土壤侵蚀时空变化及驱动因素分析

RUSLE模型对黄土高原退耕植被恢复坡面

基于GIS的祖厉河流域土壤侵蚀治理模式模拟研究