Temporal and Spatial Distribution of Soil Erosion and Erosion Hotspots Analysis:A Case Study of Wangyi District,Shaanxi Province

CHEN Si-bin; HUO Ai-di; CHEN Si-ming; ZHAO Zhi-xin; CHEN Jian

doi:10.11988/ckyyb.20210394

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Journal of Changjiang River Scientific Research Institute ›› 2022, Vol. 39 ›› Issue (8) : 50-57. DOI: 10.11988/ckyyb.20210394

SOIL AND WATER CONSERVATION AND ECOLOGICAL RESTORATION

Temporal and Spatial Distribution of Soil Erosion and Erosion Hotspots Analysis:A Case Study of Wangyi District,Shaanxi Province

CHEN Si-bin¹, HUO Ai-di^1,2, CHEN Si-ming¹, ZHAO Zhi-xin¹, CHEN Jian¹

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Abstract

The aim of this study is to evaluate the soil erosion change since the implementation of ecological measures such as gully consolidation and highland protection in Wangyi District.The vegetation coverage is estimated by Dimidiate Pixel Model,the distribution of soil erosion intensity in 2000 and 2019 is analyzed and the spatial aggregation evolution characteristics of soil erosion intensity are revealed based on GIS and exploratory spatial data analysis (ESDA-GIS).The results demonstrate that:(1) The area of forest and grassland in Wangyi District has increased markedly,and the area with high coverage (>75%) grew by 16.51 km².(2) The condition of soil erosion in Wangyi district alleviated obviously.Soil erosion area in 2000 was as high as 70.92% of the whole area,and 55.84% in 2019.The structure of soil erosion intensity has also changed.In 2000,the study area was dominated by moderate erosion,followed by strong erosion,mild erosion,and extremely strong erosion in sequence,while in 2019,mild erosion dominated,followed by moderate erosion,strong erosion,and extremely strong erosion in sequence.(3) The distribution of soil erosion intensity has obvious spatial aggregation characteristics.The Global Moran’ I index is around 0.5,and the erosion hotspots transformed from large continuous distribution to locally concentrated scattered distribution.The erosion hotspots are mainly distributed in the slope range of 15°-25°,especially in the southwest and southeast regions.The research findings provide data support for water and soil conservation planning,design and treatment in Wangyi District.

Key words

soil erosion / vegetation coverage / ESDA / erosion hotspots / Wangyi District

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CHEN Si-bin, HUO Ai-di, CHEN Si-ming, ZHAO Zhi-xin, CHEN Jian. Temporal and Spatial Distribution of Soil Erosion and Erosion Hotspots Analysis:A Case Study of Wangyi District,Shaanxi Province[J]. Journal of Changjiang River Scientific Research Institute. 2022, 39(8): 50-57 https://doi.org/10.11988/ckyyb.20210394

References

[1] 李占斌,朱冰冰,李鹏.土壤侵蚀与水土保持研究进展[J].土壤学报,2008,45(5):802-809.
[2] 郑粉莉,王占礼,杨勤科.我国土壤侵蚀科学研究回顾和展望[J].自然杂志,2008,30(1):12-16,63.
[3] 魏鹳举.2000—2013年北洛河河源区土壤侵蚀潜在风险时空变化分析[J].水土保持研究,2017,24(4):168-173,181.
[4] 郭力宇,郭昭,王涛,等.陕西渭河流域近15年土壤侵蚀时空变化分析[J].江苏农业科学,2018,46(2):185-190.
[5] 孙厚才,赵健.中外水土保持理念对比[J].长江科学院院报,2008,25(3):9-13.
[6] 陈起伟,熊康宁,兰安军.基于GIS技术的贵州省土壤侵蚀危险性评价[J].长江科学院院报,2020,37(12):47-52,66.
[7] HUO A D,PENG J B,CHENG Y X,et al.Hydrological Analysis of Loess Plateau Highland Control Schemes in Dongzhi Plateau[J].Frontiers in Earth Science,2020,8,doi:10.3389/feart.2020.528632.
[8] 操玥,王世杰,白晓永,等.喀斯特槽谷区土壤侵蚀时空演变及未来情景模拟[J].生态学报,2019,39(16):6061-6071.
[9] 王小帆,霍艾迪,朱兴华,等.陇东黄土塬区固沟保塬工程治理模式研究[J].人民黄河,2019,41(9):106-109.
[10] 彭建兵,兰恒星,钱会,等.宜居黄河科学构想[J].工程地质学报,2020,28(2):189-201.
[11] 黄硕文,李健,张欣佳,等.河南省近十年来土壤侵蚀时空变化分析[J].农业资源与环境学报,2021,38(2):232-240.
[12] 郑小路,霍艾迪,朱兴华,等.黄土高原土壤侵蚀预报模型研究进展[J].应用化工,2019,48(4):902-906,912.
[13] 刘宝元,谢云,张科利.土壤侵蚀预报模型[M].北京:中国科学技术出版社,2001.
[14] ZHENG M G,CAI Q G,CHENG Q J.Modelling the Runoff-Sediment Yield Relationship Using a Proportional Function in Hilly Areas of the Loess Plateau,North China[J].Geomorphology,2008,93(3/4):288-301.
[15] 王建勋,郑粉莉,江忠善,等.WEPP模型坡面版在黄土丘陵沟壑区的适用性评价:以坡度因子为例[J].泥沙研究,2008(6):52-60.
[16] HUO A D,YANG L,LUO P P,et al.Influence of Landfill and Land Use Scenario on Runoff,Evapotranspiration,and Sediment Yield over the Chinese Loess Plateau[J].Ecological Indicators,2021,121:107208.
[17] HUO A D,CHEN S M,PENG J B,et al.UAV-based Gully Retrogressive Erosion Status Dynamic Variability Investigations in Chinese Loess Plateau[J].Arabian Journal of Geosciences,2021,14(4):263.
[18] SL 190—2007,土壤侵蚀分类分级标准[S].北京:中国水利水电出版社,2007.
[19] 李雪月.铜川市王益区王益塬固沟保塬综合治理模式研究[J].陕西水利,2018(3):130-132.
[20] 庞国伟,山琳昕,杨勤科,等.陕西省不同地貌类型区植被覆盖度时空变化特征及其影响因素[J].长江科学院院报,2021,38(3):51-58,76.
[21] 李苗苗,吴炳方,颜长珍,等.密云水库上游植被覆盖度的遥感估算[J].资源科学,2004,26(4):153-159.
[22] 王朗,傅伯杰,吕一河,等.生态恢复背景下陕北地区植被覆盖的时空变化[J].应用生态学报,2010,21(8):2109-2116.
[23] ZRIBI M,HEGARAT-MASCLE L,TACONET O,et al.Derivation of Wild Vegetation Cover Density in Semi-arid Regions:ERS2/SAR Evaluation[J].International Journal of Remote Sensing,2003,24(6):1335-1352.
[24] 王志刚,涂人猛,孙佳佳,等.基于地类、坡度与植被的小流域土壤侵蚀量估算方法:以毕节市毛家湾小流域为例[J].长江科学院院报,2013,30(5):22-26.
[25] 张乐涛,高照良.生产建设项目区土壤侵蚀研究进展[J].中国水土保持科学,2014,12(1):114-122.
[26] 万方秋,丘世钧.水蚀地区城市水土流失强度分级指标体系探讨[J].华南师范大学学报(自然科学版),2003(4):115-120.
[27] 万方秋.珠江三角洲地区城市水土流失类型和强度分级研究[D].广州:华南师范大学,2003.
[28] 吴启发,张洪江.土壤侵蚀学[M].北京:科学出版社,2012.
[29] 王志刚,韩培,周耀华,等.超大城市水土流失空间分布格局及其防治策略:以武汉市为例[J].水土保持通报,2018,38(5):122-126,353.
[30] 刘纪根,赵健,张平仓,等.基于RS和GIS的乌东德水电站坝址区土壤侵蚀预测研究[J].长江科学院院报,2007,24(4):10-13.
[31] 游松财,李文卿.GIS支持下的土壤侵蚀量估算:以江西省泰和县灌溪乡为例[J].自然资源学报,1999(1):63-69.
[32] 胡续礼,姜小三,潘剑君,等.GIS支持下淮河流域土壤侵蚀的综合评价[J].土壤,2007,39(3):404-407.
[33] 李丹丹,周忠发,王历,等.喀斯特山区土壤侵蚀强度空间分布与风险评价:以贵州省绥阳县为例[J].科技通报,2019,35(4):15-20.
[34] 王志杰,柳书俊,苏嫄.喀斯特高原山地贵阳市2008—2018年土壤侵蚀时空特征与侵蚀热点变化分析[J].水土保持学报,2020,34(5):94-102,110.
[35] 周筱雅,刘志强,王俊帝,等.中国建制市人均公园绿地面积的探索性空间数据分析[J].生态经济,2019,35(10):86-93.
[36] 黑哲,王飞,韩剑桥,等.退耕还林(草)以来陕北白于山区植被覆盖与土壤侵蚀强度变化[J].水土保持研究,2020,27(4):39-46.
[37] 苏嫄,王志杰,杨瑞,等.基于RUSLE的陕南地区土壤侵蚀时空变化特征[J].水土保持研究,2018,25(5):1-11.
[38] 王建洪.黄土台塬区土地承载力动态分析[D].西安:陕西师范大学,2012.