Research Progress on Spatial-Temporal Variation of and Measurement Technologies for Soil and Water Loss on Whole Hillslope

XU Wen-sheng; GU Jin-yu; SUN Bao-yang; ZHANG Zhi-hua; ZHANG Wen-jie; LI Li

doi:10.11988/ckyyb.20221131

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Journal of Changjiang River Scientific Research Institute ›› 2023, Vol. 40 ›› Issue (6) : 77-85. DOI: 10.11988/ckyyb.20221131

Soil and Water Conservation and Ecological Restoration

Research Progress on Spatial-Temporal Variation of and Measurement Technologies for Soil and Water Loss on Whole Hillslope

XU Wen-sheng^1,2, GU Jin-yu³, SUN Bao-yang^1,2, ZHANG Zhi-hua^1,2, ZHANG Wen-jie^1,2, LI Li^1,2

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Abstract

Whole hillslope is a basic unit for multi-scale measurement and conversion of water and soil loss, which lies between traditional slope and watershed scales. Based on the analysis of the basic unit of water and soil loss, we define the scope of whole hillslope surface as a complete geomorphic unit located between the watershed and from the top to the foot of the slope. Spatial heterogeneity, such as slope length, slope gradient, slope position, and land use distribution pattern, is a crucial factor that differentiates the whole slope from traditional slope research and affects the spatial differentiation of water and soil loss. Runoff, sediment, carbon, nitrogen, phosphorus, and other flux materials of water and soil loss are key elements for studying the erosion law of the whole hillslope. The migration and transformation of key elements of the whole hillslope is a complex physical and chemical process, while current measurement techniques are insufficiently efficient to identify, extract, and quantitatively analyze each element, thus requiring the establishment of a measurement technology system for the whole hillslope. The study of spatio-temporal variation of and measurement techniques for soil and water loss on the whole hillslope can provide an essential reference and basis for constructing multi-scale nested measurement system and simulating and predicting erosion, runoff, and sediment processes at different scales.

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soil and water loss / key elements of soil and water / spatio-temporal variation / measurement techniques / whole hillslope

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XU Wen-sheng, GU Jin-yu, SUN Bao-yang, ZHANG Zhi-hua, ZHANG Wen-jie, LI Li. Research Progress on Spatial-Temporal Variation of and Measurement Technologies for Soil and Water Loss on Whole Hillslope[J]. Journal of Changjiang River Scientific Research Institute. 2023, 40(6): 77-85 https://doi.org/10.11988/ckyyb.20221131

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] 张光辉. 对土壤侵蚀研究的几点思考[J]. 水土保持学报, 2020, 34(4): 21-30.
[3] LI L, NEARING M A, HEILMAN P, et al. Rangeland Hillslope Lengths: A Case Study at the Walnut Gulch Experimental Watershed, Southeastern Arizona[J]. International Soil and Water Conservation Research, 2022, 10(4): 597-609.
[4] 何丙辉,徐霞,辜世贤.潼南县土地利用景观格局特征分析[J].水土保持研究,2005,12(5):130-133.
[5] 张光辉. 从土壤侵蚀角度诠释泥沙连通性[J]. 水科学进展, 2021, 32(2): 295-308.
[6] 郑粉莉, 唐克丽, 白红英. 标准小区和大型坡面径流场径流泥沙监测方法分析[J]. 人民黄河, 1994, 16(7): 19-22.
[7] 唐政洪, 蔡强国, 许峰, 等. 不同尺度条件下的土壤侵蚀实验监测及模型研究[J]. 水科学进展, 2002, 13(6): 781-787.
[8] 李智广, 姜学兵, 刘二佳, 等. 我国水土保持监测技术和方法的现状与发展方向[J]. 中国水土保持科学, 2015, 13(4): 144-148.
[9] 朱梦阳, 杨勤科, 王春梅, 等. 区域土壤侵蚀遥感抽样调查方法[J]. 水土保持学报, 2019, 33(5): 64-71.
[10]史志华, 宋长青. 土壤水蚀过程研究回顾[J]. 水土保持学报, 2016, 30(5): 1-10.
[11]陈晓燕. 不同尺度下紫色土水土流失效应分析[D]. 重庆: 西南大学, 2009.
[12]杨育红, 阎百兴, 严登华. 核素²¹⁰Pb_ex示踪法在小流域农业氮磷流失研究中的应用[J]. 农业环境科学学报, 2012, 31(10): 1994-1998.
[13]LI M, YAO W, SHEN Z, et al. Erosion Rates of Different Land Uses and Sediment Sources in a Watershed Using the ¹³⁷Cs Tracing Method: Field Studies in the Loess Plateau of China[J]. Environmental Earth Sciences, 2016, 75(7): 591.
[14]丁文峰, 李占斌, 丁登山. 稀土元素示踪法在坡面侵蚀产沙垂直分布研究中的应用[J]. 农业工程学报, 2003, 19(2): 65-69.
[15]NING S K,CHANG N B,JENG K-Y,et al. Soil Erosion and Non-point Source Pollution Impacts Assessment with the Aid of Multi-temporal Remote Sensing Images[J].Journal of Environmental Management,2006,79(1):88-101.
[16]FU Y, LI G L, ZHENG T H, et al. Splash Detachment and Transport of Loess Aggregate Fragments by Raindrop Action[J]. CATENA, 2017, 150: 154-160.
[17]严坤, 王玉宽, 刘勤, 等. 三峡库区规模化顺坡沟垄果园氮、磷输出过程及流失负荷[J]. 环境科学, 2020, 41(8): 3646-3656.
[18]肖冬,吴海霞,康占艳,等.不同空间尺度水土流失动态监测方法的标准化探讨[J].内蒙古水利,2011(2):139-141.
[19]XU X, ZHENG F, WILSON G V, et al. Upslope Inflow, Hillslope Gradient and Rainfall Intensity Impacts on Ephemeral Gully Erosion[J]. Land Degradation & Development, 2017, 28(8): 2623-2635.
[20]WU B, WANG Z, ZHANG Q, et al. Distinguishing Transport-Limited and Detachment-Limited Processes of Interrill Erosion on Steep Slopes in the Chinese Loessial Region[J]. Soil and Tillage Research,2018,177:88-96.
[21]徐恒力, 陈植华, 高云福, 等. 坡地系统土壤侵蚀定量评价方法[J]. 地球科学, 1997, 22(6): 652-655.
[22]MONTGOMERY D R. Slope Distributions, Threshold Hillslopes, and Steady-State Topography[J]. American Journal of Science, 2001, 301(4/5): 432-454.
[23]WISCHMEIER W H, SMITH D. Predicting Rainfall Erosion Losses: A Guide to Conservation Planning[K]. Washington DC: U.S. Department of Agriculture Handbook, 1978.
[24]NEARING M A, WEI H, STONE J J, et al. A Rangeland Hydrology and Erosion Model[J]. Transactions of the ASABE, 2011, 54(3): 901-908.
[25]HERNANDEZ M,NEARING M A,AL-HAMDAN O Z,et al. The Rangeland Hydrology and Erosion Model: A Dynamic Approach for Predicting Soil Loss on Rangelands[J]. Water Resources Research,2017,53(11):9368-9391.
[26]TAROLLI P,DALLA FONTANA G.Hillslope-to-Valley Transition Morphology:New Opportunities from High Resolution DTMS[J]. Geomorphology,2009,113(1/2):47-56.
[27]TARBOTON D G, BRAS R L, RODRIGUEZ-ITURBE I. A Physical Basis for Drainage Density[J]. Geomorphology, 1992, 5(1/2): 59-76.
[28]COCHRANE T A, FLANAGAN D C. Representative Hillslope Methods for Applying the Wepp Model with DEMs and GIS[J]. Transactions of the ASAE, 2003, 46(4): 1041-1049.
[29]SCHWANGHART W, HECKMANN T. Fuzzy Delineation of Drainage Basins through Probabilistic Interpretation of Diverging Flow Algorithms[J]. Environmental Modelling & Software, 2012, 33: 106-113.
[30]PELLETIER J D. A Robust, Two-Parameter Method for the Extraction of Drainage Networks from High-resolution Digital Elevation Models (DEMs): Evaluation Using Synthetic and Real-World DEMs[J]. Water Resources Research, 2013, 49(1): 75-89.
[31]PASSALACQUA P,DO TRUNG T,FOUFOULA-GEORGIOU E,et al. A Geometric Framework for Channel Network Extraction from Lidar: Nonlinear Diffusion and Geodesic Paths[J]. Journal of Geophysical Research, 2010, 115(F1): F01002.
[32]CLUBB F J, MUDD S M, MILODOWSKI D T, et al. Objective Extraction of Channel Heads from High-resolution Topographic Data[J]. Water Resources Research, 2014, 50(5): 4283-4304.
[33]王全九, 王力, 李世清. 坡地土壤养分迁移与流失影响因素研究进展[J]. 西北农林科技大学学报(自然科学版), 2007, 35(12): 109-114, 119.
[34]张冠华, 胡甲均. 径流驱动土壤分离过程的影响因素及机制研究进展[J].水科学进展,2019,30(2):294-304.
[35]DE VENTE J, POESEN J, ARABKHEDRI M, et al. The Sediment Delivery Problem Revisited[J]. Progress in Physical Geography: Earth and Environment, 2007, 31(2): 155-178.
[36]蔡强国, 袁再健, 程琴娟, 等. 分布式侵蚀产沙模型研究进展[J]. 地理科学进展, 2006, 25(3): 48-54.
[37]张乐涛, 李占斌, 王贺, 等. 流域系统径流侵蚀链内泥沙输移的空间尺度效应[J]. 农业工程学报, 2016, 32(13): 87-94.
[38]PARSONS A J, BRAZIER R E, WAINWRIGHT J, et al. Scale Relationships in Hillslope Runoff and Erosion Reply[J]. Earth Surface Processes and Landforms, 2008, 33(10): 1637-1638.
[39]蔡强国. 坡长在坡面侵蚀产沙过程中的作用[J]. 泥沙研究, 1989(4): 84-91.
[40]雷廷武, 张晴雯, 赵军, 等. 细沟侵蚀动力过程输沙能力试验研究[J]. 土壤学报, 2002, 39(4): 476-482.
[41]郑粉莉, 唐克丽, 周佩华. 坡耕地细沟侵蚀影响因素的研究[J]. 土壤学报, 1989, 26(2): 109-116.
[42]潘雅文, 马文龙, 潘庆宾, 等. 流域侵蚀输沙空间尺度效应及其影响因素研究进展[J]. 水土保持研究, 2022, 29(3): 88-97, 105.
[43]陈永宗. 黄河泥沙来源及侵蚀产沙的时间变化[J]. 中国水土保持, 1988(1): 25-31,65.
[44]柳长顺,齐实,史明昌. 土地利用变化与土壤侵蚀关系的研究进展[J].水土保持学报,2001,15(增刊1): 10-13, 17.
[45]马瞳宇, 张晓萍, 孙艳萍, 等. 水蚀风蚀交错区典型流域景观格局变化对土壤侵蚀过程的影响[J]. 水土保持学报, 2012, 26(4): 43-48, 53.
[46]傅伯杰, 邱扬, 王军, 等. 黄土丘陵小流域土地利用变化对水土流失的影响[J]. 地理学报, 2002, 57(6): 717-722.
[47]朱冰冰, 霍云霈, 周正朝. 黄土高原坡沟系统植被格局对土壤侵蚀影响研究进展[J]. 中国水土保持科学(中英文), 2021, 19(4): 149-156.
[48]丁琳, 许海超, 秦伟, 等. 不同坡面草被格局下的侵蚀产沙量及其连通性指数表征[J]. 农业工程学报, 2022, 38(9): 119-128.
[49]王庚, 查轩, 黄少燕, 等. 福建省永定县的水土流失动态变化[J]. 水土保持通报, 2016, 36(6): 272-277.
[50]CHEN S, ZHANG G, ZHU P, et al. Impact of Slope Position on Soil Erodibility Indicators in Rolling Hill Regions of Northeast China[J]. CATENA, 2022, 217: 106475.
[51]敖畅. 黄土坡地径流养分流失特征及其化学调控机制研究[D]. 北京: 中国农业大学, 2018.
[52]TAO W, WANG Q, GUO L, et al. A New Analytical Model for Predicting Soil Erosion and Nutrient Loss during Crop Growth on the Chinese Loess Plateau[J]. Soil and Tillage Research, 2020, 199: 104585.
[53]钱婧. 模拟降雨条件下红壤坡面菜地侵蚀产沙及土壤养分流失特征研究[D]. 杭州: 浙江大学, 2015.
[54]JANEAU J-L, GILLARD L-C, GRELLIER S, et al. Soil Erosion, Dissolved Organic Carbon and Nutrient Losses under Different Land Use Systems in a Small Catchment in Northern Vietnam[J]. Agricultural Water Management, 2014, 146: 314-323.
[55]王万忠, 焦菊英, 魏艳红. 黄河主要产沙区雨沙关系及泥沙变化特征[J]. 泥沙研究, 2019, 44(2): 41-47.
[56]张晓霞, 李占斌, 李鹏, 等. 黄土高原小流域不同地貌下土壤有机碳的分布特征[J]. 西安理工大学学报, 2010, 26(3): 309-313.
[57]展晓莹, 张爱平, 张晴雯. 农业绿色高质量发展期面源污染治理的思考与实践[J]. 农业工程学报, 2020, 36(20): 1-7.
[58]肖波, 喻定芳, 赵梅, 等. 保护性耕作与等高草篱防治坡耕地水土及氮磷流失研究[J]. 中国生态农业学报, 2013, 21(3): 315-323.
[59]WANG L, YEN H, HUANG C H, et al. Erosion and Covered Zones Altered by Surface Coverage Effects on Soil Nitrogen and Carbon Loss from an Agricultural Slope under Laboratory-Simulated Rainfall Events[J]. International Soil and Water Conservation Research, 2022, 10(3): 382-392.
[60]REMUND D, LIEBISCH F, LINIGER H P, et al. The Origin of Sediment and Particulate Phosphorus Inputs into Water Bodies in the Swiss Midlands - A Twenty-year Field Study of Soil Erosion[J]. CATENA, 2021, 203: 105290.
[61]CHENG Y, LI P, XU G, et al. Effects of Soil Erosion and Land Use on Spatial Distribution of Soil Total Phosphorus in a Small Watershed on the Loess Plateau, China[J]. Soil and Tillage Research, 2018, 184: 142-152.
[62]马琨, 王兆骞, 陈欣, 等. 不同雨强条件下红壤坡地养分流失特征研究[J]. 水土保持学报, 2002, 16(3): 16-19.
[63]GARCA-RUIZ J M, BEGUERA S, LANA-RENAULT N, et al. Ongoing and Emerging Questions in Water Erosion Studies[J]. Land Degradation & Development, 2017, 28(1): 5-21.
[64]尹黎明. APEX模型在土壤侵蚀模拟中的适用性和不确定性分析研究: 以淮河流域中上游径流小区为例[D]. 南京: 南京农业大学, 2007.
[65]康玲玲, 朱小勇, 王云璋, 等. 不同雨强条件下黄土性土壤养分流失规律研究[J]. 土壤学报, 1999, 36(4): 536-543.
[66]史志华, 陈利顶, 杨长春, 等. 三峡库区土质道路侵蚀产沙过程的模拟降雨试验[J]. 生态学报, 2009, 29(12): 6785-6792.
[67]ABROL V, BEN-HUR M, VERHEIJEN F G A, et al. Biochar Effects on Soil Water Infiltration and Erosion under Seal Formation Conditions: Rainfall Simulation Experiment[J]. Journal of Soils and Sediments, 2016, 16(12): 2709-2719.
[68]RICKS M D, WILSON W T, ZECH W C, et al. Evaluation of Hydromulches as an Erosion Control Measure Using Laboratory-Scale Experiments[J]. Water, 2020, 12(2): 515.
[69]ZHANG Z, XU W, LI L, et al. Effects of Temporal Conservation Measures on Water Erosion Processes of Disturbed Soil Accumulation in Construction Projects[J]. Journal of Cleaner Production, 2021, 319: 128612.
[70]张志华, 聂文婷, 许文盛, 等. 不同水土保持临时措施下工程堆积体坡面减流减沙效应[J]. 农业工程学报, 2022, 38(1): 141-150.
[71]吕一河, 傅伯杰. 生态学中的尺度及尺度转换方法[J]. 生态学报, 2001, 21(12): 2096-2105.
[72]文雄飞, 张穗, 张煜, 等. 无人机倾斜摄影辅助遥感技术在水土保持动态监测中的应用潜力分析[J]. raybet体育在线院报, 2016, 33(11): 93-98.
[73]赵军, 雷廷武, 张晴雯, 等. 激光微地貌扫描仪的开发研制及在坡面侵蚀研究应用初步[J]. 山东农业大学学报(自然科学版), 2001, 32(2): 201-206.
[74]戚继阳, 张富, 赵传燕, 等. 基于GIS和RS的称钩河流域土壤侵蚀与土地利用关系分析[J]. 甘肃农业大学学报, 2018, 53(2): 94-102.
[75]马力, 卜兆宏, 梁文广, 等. 基于USLE原理和3S技术的水土流失定量监测方法及其应用研究[J]. 土壤学报, 2019, 56(3): 602-614.
[76]汤瑞. 3S技术在水土保持与荒漠化防治中的应用[J]. 工程技术研究, 2021, 6(18): 253-254.
[77]章恒, 窦银科, 于家坤. 基于RTK的自主海水环境探测无人艇[J]. 舰船科学技术, 2020, 42(1): 43-46.
[78]钟壬琳, 张平仓. 人工降雨和放水冲刷试验下红壤坡面径流与泥沙特征分析[J]. raybet体育在线院报, 2019, 36(2): 33-38.
[79]高云飞, 李智广, 刘晓燕. 黄河流域水土流失遥感监测中土地利用现状分类体系构建[J]. 水土保持通报, 2018, 38(1): 111-115.
[80]詹小国, 谭德宝, 朱永清, 等. 基于RS和GIS的三峡库区水土流失快速动态监测研究[J]. raybet体育在线院报, 2003, 20(1): 44-46.
[81]吕威, 李淑芹, 雷廷武, 等. 聚丙烯酰胺应用对黄土复合坡面降雨产流的影响[J]. 农业工程学报, 2014, 30(6): 71-79.
[82]吕威, 武新英, 李法虎. 径流量和坡度对复合坡薄层径流水力学特性的影响[J]. 水土保持学报, 2016, 30(5): 11-17.
[83]RIEKE-ZAPP D H, NEARING M A. Slope Shape Effects on Erosion[J]. Soil Science Society of America Journal, 2005, 69(5): 1463-1471.
[84]吴淑芳, 刘勃洋, 雷琪, 等. 基于三维重建技术的坡面细沟侵蚀演变过程研究[J]. 农业工程学报, 2019, 35(9): 114-120.