东南湿润区坡面土壤水文过程研究进展与展望

doi:10.18306/dlkxjz.2018.04.003

Abstract

Abstract:

The humid region of Southeast China is one of the most prominent areas of environmental problems. Eutrophication of water bodies is a major problem that hampers the economic and social developments in the region. Especially in recent years, affected by government policies and market forces, the development of hilly and mountainous areas was intensified. Increasingly more virgin bamboo forests have been developed into economic land (such as tea garden). However, the land-use and land-cover change brings economic benefits as well as changes of soil pore structure and hydrological processes, which greatly affect the migration and transformation of nutrients in the soil. Within the National Natural Science Foundation of China (NSFC) supported project “Research on the physical mechanism and numerical simulation of hillslope soil hydrological processes in the hilly region of the Taihu Lake Basin” we made important progresses in the following three aspects: (1) spatiotemporal variations and influencing factors of hillslope soil moisture under different land use; (2) hillslope hydrological processes and water balance; and (3) influencing mechanism of hillslope soil hydrological processes. Despite these progresses, further research should focus on mechanisms of such processes, which would be of great importance for the control of eutrophication of the Taihu lake and non-point source pollution.

Key words: Taihu Lake Basin, hillslope scale, soil hydrological processes, numerical simulation, influencing factors

Kaihua LIAO, Ligang LV. Advances in research of hillslope soil hydrological processes in the humid region of Southeast China[J].PROGRESS IN GEOGRAPHY, 2018, 37(4): 476-484.

Figures/Tables 5

References 49

[1]	常龙飞, 王晓龙, 李恒鹏, 等. 2012. 巢湖典型低山丘陵区不同土地利用类型壤中流养分流失特征[J]. 生态与农村环境学报, 28(5): 511-517. doi: 10.3969/j.issn.1673-4831.2012.05.007
	[Chang L F, Wang X L, Li H P, et al.2012. Characteristics of soil nutrient loss with interflow from uplands as affected by land uses in low hill region of Chaohu Basin[J]. Journal of Ecology and Rural Environment, 28(5): 511-517.] doi: 10.3969/j.issn.1673-4831.2012.05.007
[2]	陈红, 冯云, 周建梅, 等. 2013. 植物根系生物学研究进展[J]. 世界林业研究, 26(5): 25-29. doi: 10.3969/j.issn.1004-7549.2011.02.002
	[Chen H, Feng Y, Zhou J M, et al.2013. Research Advance of Plant Root Biology[J]. World Forestry Research, 26(5): 25-29.] doi: 10.3969/j.issn.1004-7549.2011.02.002
[3]	陈晓安, 杨洁, 汤崇军, 等. 2017. 雨强和坡度对红壤坡耕地地表径流及壤中流的影响[J]. 农业工程学报, 33(9): 141-146. doi: 10.11975/j.issn.1002-6819.2017.09.018
	[Chen X A, Yang J, Tang C J, et al.2017. Effects of rainfall intensity and slope on surface and subsurface runoff in red soil slope farmland[J]. Transactions of the Chinese Society of Agricultural Engineering, 33(9): 141-146.] doi: 10.11975/j.issn.1002-6819.2017.09.018
[4]	杜志勇, 刘苑秋, 郑诗樟, 等. 2007. 退化红壤区不同模式重建森林土壤水分空间变异性[J]. 水土保持学报, 21(5): 101-105. doi: 10.3321/j.issn:1009-2242.2007.05.024
	[Du Z Y, Liu Y Q, Zheng S Z, et al.2007. Spatial variability of soil moisture in different models of rehabilitated forest in degraded red soil region[J]. Journal of Soil and Water Conservation, 21(5): 101-105.] doi: 10.3321/j.issn:1009-2242.2007.05.024
[5]	段剑, 刘窑军, 汤崇军, 等. 2017. 不同下垫面红壤坡地壤中流对自然降雨的响应[J]. 水利学报, 48(8): 977-985.
	[Duan J, Liu Y J, Tang C J, et al.2017. Responses of subsurface flow characteristics to natural rainfall in red soil slopes of different surface covers[J]. Journal of Hydraulic Engineering, 48(8): 977-985.]
[6]	韩莹, 李恒鹏, 聂小飞, 等. 2012. 太湖上游低山丘陵地区不同用地类型氮、磷收支平衡特征[J]. 湖泊科学, 24(6): 829-837. doi: 10.18307/2012.0604
	[Han Y, Li H P, Nie X F, et al.2012. Nitrogen and phosphorus budget of different land use types in hilly area of Lake Taihu upper-river basin[J]. Journal of Lake Sciences, 24(6): 829-837.] doi: 10.18307/2012.0604
[7]	侯旭蕾, 吕殿青, 王辉, 等. 2013. 坡度对红壤土坡面降雨侵蚀及水文过程的影响[J]. 灌溉排水学报, 32(6): 118-121. doi: 10.7631/j.issn.1672-3317.2013.06.031
	[Hou X L, Lv D Q, Wang H, et al.2013. Effect of slope gradients on rainfall erosion and hydrological process on red soil land-slope[J]. Journal of Irrigation and Drainage, 32(6): 118-121.] doi: 10.7631/j.issn.1672-3317.2013.06.031
[8]	李恒鹏, 刘晓玫, 黄文钰. 2004. 太湖流域浙西区不同土地类型的面源污染产出[J]. 地理学报, 59(3): 401-408. doi: 10.3321/j.issn:0375-5444.2004.03.010
	[Li H P, Liu X M, Huang W Y.2004. The non-point output of different landuse types in Zhexi hydraulic region of Taihu Basin[J]. Acta Geographica Sinica, 59(3): 401-408.] doi: 10.3321/j.issn:0375-5444.2004.03.010
[9]	林绍霞, 张清海, 张珍明, 等. 2012. 不同垦植模式茶园土壤性状及团聚体特征研究[J]. 水土保持研究, 19(6): 45-49.
	[Lin S X, Zhang Q H, Zhang Z M, et al.2012. Research for soil properties and aggregates in tea plantation with different planting patterns[J]. Research of Soil and Water Conservation, 19(6): 45-49.]
[10]	刘宏伟, 高菲, 余钟波, 等. 2016. 湿润地区坡面土壤含水率时空变异性研究[J]. 水资源保护, 32(5): 17-23.
	[Liu H W, Gao F, Yu Z B, et al.2016. Study on temporal-spatial variability of soil moisture content on hillslope in a humid area[J]. Water Resources Protection, 32(5): 17-23.]
[11]	王小燕, 李朝霞, 蔡崇法. 2012. 砾石覆盖紫色土坡耕地水文过程[J]. 水科学进展, 23(1): 38-45.
	[Wang X Y, Li Z X, Cai C F.2012. Hydrological processes on sloped farmland in purple soil regions with rock fragment cover[J]. Advances in Water Science, 23(1): 38-45.]
[12]	谢颂华, 涂安国, 莫明浩, 等. 2015. 自然降雨事件下红壤坡地壤中流产流过程特征分析[J]. 水科学进展, 26(4): 526-534. doi: 10.14042/j.cnki.32.1309.2015.04.009
	[Xie S H, Tu A G, Mo M H, et al.2015. Analysis on the characteristic of interflow production processes on red soil slopes in the case of natural rainfall events[J]. Advances in Water Science, 26(4): 526-534.] doi: 10.14042/j.cnki.32.1309.2015.04.009
[13]	杨超杰, 贺斌, 段伟利, 等. 2017. 太湖典型丘陵水源地水质时空变化及影响因素分析: 以平桥河流域为例[J]. 长江流域资源与环境, 26(2): 273-281. doi: 10.11870/cjlyzyyhj201702013
	[Yang C J, He B, Duan W L, et al.2017. Analysing the spatial and temporal variations and influencing factors of the water quality in a typical hilly water source of Lake Taihu Basin: A case study in Pingqiao river watershed[J]. Resources and Environment in the Yangtze Basin, 26(2): 273-281.] doi: 10.11870/cjlyzyyhj201702013
[14]	Bárdossy A, Lehmann W.1998. Spatial distribution of soil moisture in a small catchment. Part 1: Geostatistical analysis[J]. Journal of Hydrology, 206(1-2): 1-15. doi: 10.1016/S0022-1694(97)00152-2
[15]	Brolsma R J, van Vliet M T H, Bierkens M F P.2010. Climate change impact on a groundwater-influenced hillslope ecosystem[J]. Water Resources Research, 46(11): 389-400. doi: 10.1029/2009WR008782
[16]	Cambardella C A, Moorman T B, Parkin T B, et al.1994. Field-scale variability of soil properties in central Iowa soils[J]. Soil Science Society of America Journal, 58(5):1501-1511. doi: 10.2136/sssaj1994.03615995005800050033x
[17]	Freer J, Mcdonnell J J, Beven K J, et al.2002. The role of bedrock topography on subsurface storm flow[J]. Water Resources Research, 38(12): 1269. doi: 10.1029/2001WR000872
[18]	Fu B J, Yang Z J, Wang Y L, et al.2001. A mathematical model of soil moisture spatial distribution on the hillslopes of the loess plateau[J]. Science in China: Earth Sciences, 44(5): 395-402. doi: 10.1007/BF02909778
[19]	Grayson R B, Western A W, Chiew F H S, et al.1997. Preferred states in spatial soil moisture patterns: Local and nonlocal controls[J]. Water Resources Research, 33(12):2897-2908. doi: 10.1029/97WR02174
[20]	Hopp L, Harman C, Desilets S L E, et al.2009. Hillslope hydrology under glass: Confronting fundamental questions of soil-water-biota co-evolution at Biosphere 2[J]. Hydrology and Earth System Sciences, 13(11): 2105-2118. doi: 10.5194/hessd-6-4411-2009
[21]	Lan M, Hu H C, Tian F Q, et al.2013. A two-dimensional numerical model coupled with multiple hillslope hydrodynamic processes and its application to subsurface flow simulation[J]. Science China: Technological Sciences, 56(10): 2491-2500. doi: 10.1007/s11431-013-5347-6
[22]	Liao K H, Lai X M, Liu Y J, et al.2016. Uncertainty analysis in near-surface soil moisture estimation on two typical land-use hillslopes[J]. Journal of Soils and Sediments, 16(8): 2059-2071. doi: 10.1007/s11368-016-1405-6
[23]	Liao K H, Lai X M, Lv L G, et al.2016. Uncertainty in predicting the spatial pattern of soil water temporal stability at the hillslope scale[J]. Soil Research, 54(6): 739-748. doi: 10.1071/SR15059
[24]	Liao K H, Lai X M, Zhou Z W, et al.2017a. Applying fractal analysis to detect spatio-temporal variability of soil moisture content on two contrasting land use hillslopes[J]. Catena, 157: 163-172. doi: 10.1016/j.catena.2017.05.022
[25]	Liao K H, Lai X M, Zhou Z W, et al.2017b. Combining the ensemble mean and bias correction approaches to reduce the uncertainty in hillslope-scale soil moisture simulation[J]. Agricultural Water Management, 191: 29-36. doi: 10.1016/j.agwat.2017.05.014
[26]	Liao K H, Lv L G, Yang G S, et al.2016. Sensitivity of simulated hillslope subsurface flow to rainfall patterns, soil texture and land use[J]. Soil Use and Management, 32(3): 422-432. doi: 10.1111/sum.12282
[27]	Liao K H, Xu F, Zheng J S, et al.2014. Using different multimodel ensemble approaches to simulate soil moisture in a forest site with six traditional pedotransfer functions[J]. Environmental Modelling & Software, 57: 27-32. doi: 10.1016/j.envsoft.2014.03.016
[28]	Liao K H, Zhou Z W, Lai X M, et al.2017. Evaluation of different approaches for identifying optimal sites to predict mean hillslope soil moisture content[J]. Journal of Hydrology, 547: 10-20. doi: 10.1016/j.jhydrol.2017.01.043
[29]	Lin H S, Bouma J, Wilding L P, et al.2005. Advances in Hydropedology[J]. Advances in Agronomy, 85:1-89. doi: 10.1016/S0065-2113(04)85001-6
[30]	McGuire K J, Weiler M, Mcdonnell J J.2007. Integrating tracer experiments with modeling to assess runoff processes and water transit times[J]. Advances in Water Resources, 30(4): 824-837. doi: 10.1016/j.advwatres.2006.07.004
[31]	Mualem Y.1976. A new model for predicting the hydraulic conductivity of unsaturated porous media[J]. Water Resources Research, 12(3): 513-522. doi: 10.1029/WR012i003p00513
[32]	Pachepsky Y A, Rawls W J, Lin H S.2006. Hydropedology and pedotransfer functions[J]. Geoderma, 131(3-4): 308-316. doi: 10.1016/j.geoderma.2005.03.012
[33]	Penna D, Tromp-Van Meerveld H J, Gobbi A, et al.2011. The influence of soil moisture on threshold runoff generation processes in an alpine headwater catchment[J]. Hydrology and Earth System Sciences, 15(3): 689-702. doi: 10.5194/hessd-7-8091-2010
[34]	Pionke H B, Hoover J R, Schnabel R R, et al.1988. Chemical-hydrologic interactions in the near-stream zone[J]. Water Resources Research, 24(7): 1101-1110. doi: 10.1029/WR024i007p01101
[35]	Qiu Y, Fu B J, Wang J, et al.2010. Spatial prediction of soil moisture content using multiple-linear regressions in a gully catchment of the Loess Plateau, China[J]. Journal of Arid Environments, 74(2): 208-220. doi: 10.1016/j.jaridenv.2009.08.003
[36]	Ritchie J T.1972. Model for predicting evaporation from a row crop with incomplete cover[J]. Water Resources Research, 8(5): 1204-1213. doi: 10.1029/WR008i005p01204
[37]	Schume H, Jost G, Katzensteiner K.2003. Spatio-temporal analysis of the soil water content in a mixed Norway spruce (Picea abies(L.) Karst.)-European beech (Fagus sylvatica L.) stand[J]. Geoderma, 112(3-4): 273-287. doi: 10.1016/S0016-7061(02)00311-7
[38]	Shi Y N, Baldwin D C, Davis K J, et al.2015. Simulating high-resolution soil moisture patterns in the Shale Hills watershed using a land surface hydrologic model[J]. Hydrological Processes, 29(21): 4624-4637. doi: 10.1002/hyp.10593
[39]	Šimůnek J, Šejna M, van Genuchten M T.1999. The HYDRUS-2D software package for simulating the two-dimensional movement of water, heat, and multiple solutes in variably-saturated media[R]. Version 2.0. Riverside, CA, USA: Salinity Laboratory Agricultural Research Service.
[40]	van Genuchten M T.1980. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils[J]. Soil Science Society of America Journal, 44(5): 892-898. doi: 10.2136/sssaj1980.03615995004400050002x
[41]	van Genuchten M T.1987. A numerical model for water and solute movement in and below the root zone[R]. Riverside, CA, USA: US Salinity Laboratory.
[42]	Vepraskas M J, Heitman J L, Austin R E.2009. Future directions for hydropedology: quantifying impacts of global change on land use[J]. Hydrology and Earth System Sciences, 13(8): 1427-1438. doi: 10.5194/hess-13-1427-2009
[43]	Wanke H, Dünkeloh A, Udluft P.2008. Groundwater Recharge Assessment for the Kalahari Catchment of North-eastern Namibia and North-western Botswana with a Regional-scale Water Balance Model[J]. Water Resources Management, 22(9): 1143-1158. doi: 10.1007/s11269-007-9217-5
[44]	Weiler M, Mcdonnell J J.2007. Conceptualizing lateral preferential flow and flow networks and simulating the effects on gauged and ungauged hillslopes[J]. Water Resources Research, 43(3): W03403. doi: 10.1029/2006WR004867
[45]	Western A W, Zhou S L, Grayson R B, et al.2004. Spatial correlation of soil moisture in small catchments and its relationship to dominant spatial hydrological processes[J]. Journal of Hydrology, 286(1-4): 113-134. doi: 10.1016/j.jhydrol.2003.09.014
[46]	Williams C J, Mcnamara J P, Chandler D G.2009. Controls on the temporal and spatial variability of soil moisture in a mountainous landscape: the signature of snow and complex terrain[J]. Hydrology and Earth System Sciences, 13(7):1325-1336. doi: 10.5194/hessd-5-1927-2008
[47]	Zhao N N, Yu F L, Li C Z, et al.2015. Soil moisture dynamics and effects on runoff generation at small hillslope scale[J]. Journal of Hydrologic Engineering, 20(7): 1-13. doi: 10.1061/(ASCE)HE.1943-5584.0001062
[48]	Zhu Q, Schmidt J P, Bryant R B.2012. Hot moments and hot spots of nutrient losses from a mixed land use watershed[J]. Journal of Hydrology, 414-415: 393-404. doi: 10.1016/j.jhydrol.2011.11.011
[49]	Zhu Q, Schmidt J P, Buda A R, et al.2011. Nitrogen loss from a mixed land use watershed as influenced by hydrology and seasons[J]. Journal of Hydrology, 405(3-4): 307-315. doi: 10.1016/j.jhydrol.2011.05.028

Advances in research of hillslope soil hydrological processes in the humid region of Southeast China

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 5

References 49

Related Articles 15

Metrics

Comments

Recommended 0

[1]	JIANG Wanbei, LIU Weidong, LIU Zhigao, HAN Mengyao. Inequality and driving forces of energy-related CO₂ emissions intensity in China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(9): 1425-1435.
[2]	FU Zhanhui, MEI Lin, ZHENG Rumin, WANG Tongtong. Spatial differentiation mechanism of urban female employment rate in Northeast China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(8): 1308-1318.
[3]	CHENG Hanbei, ZOU You, LIN Sainan, LI Zhigang. Review of recent research on the impacts of residential mobility on health [J]. PROGRESS IN GEOGRAPHY, 2020, 39(7): 1210-1223.
[4]	DING Jianjun, WANG Zhang, LIU Yanhong, YU Fangwei. Measurement of economic resilience of contiguous poverty-stricken areas in China and influencing factor analysis [J]. PROGRESS IN GEOGRAPHY, 2020, 39(6): 924-937.
[5]	HU Xiaofang, LI Xiaoya, WANG Tianyu, ZHAO Hongmin, YANG Shuo, DENG Lei, LI Jingwang. Spatial agglomeration pattern of homestay inn and influencing factorsbased on the comparison of Hangzhou, Huzhou, and Enshi cities [J]. PROGRESS IN GEOGRAPHY, 2020, 39(10): 1698-1707.
[6]	YANG Kui,ZHANG Yu,ZHAO Xiaofeng,WEN Qi,ZHONG Taiyang. Temporal and spatial characteristics and influencing factors of structural efficiency of rural land use [J]. PROGRESS IN GEOGRAPHY, 2019, 38(9): 1393-1402.
[7]	CHEN Yangfen, LIU Yu, WANG Guogang. Rural development in metropolitan areas and implications for rural vitalization strategy [J]. PROGRESS IN GEOGRAPHY, 2019, 38(9): 1403-1411.
[8]	Yang LIU, Jianshu LV, Jun BI. Characterizing water purification services and quantifying their driving factors in watershed terrestrial ecosystems [J]. PROGRESS IN GEOGRAPHY, 2019, 38(4): 588-599.
[9]	LI Xueming, LIU He, TIAN Shenzhen, GONG Yilu. Network structure and influencing factors of urban human habitat activities in the three provinces of Northeast China：Based on Baidu Post Bar data [J]. PROGRESS IN GEOGRAPHY, 2019, 38(11): 1726-1734.
[10]	HE Ping, CUI Meiyan, LI Jinxiao, LIU Shuhua. Characteristics and influencing factors of surface solar radiation variation in Kunming City [J]. PROGRESS IN GEOGRAPHY, 2019, 38(11): 1793-1801.
[11]	YANG Wenyue, CAO Xiaoshu. Progress of research on influencing factors of CO₂ emissions from multi-scale transport [J]. PROGRESS IN GEOGRAPHY, 2019, 38(11): 1814-1828.
[12]	Qiong SONG, Xinzheng ZHAO, Tongsheng LI, Jingyu LIU. Spatial structures and influencing factors of multiple urban networks based on the perspective of directed-multivalued relation [J]. PROGRESS IN GEOGRAPHY, 2018, 37(9): 1257-1267.
[13]	Weixuan SONG, Yuzhu MA, Yanru CHEN. Spatiotemporal differentiation and influencing factors of housing selling and rental prices: A case study of Nanjing City [J]. PROGRESS IN GEOGRAPHY, 2018, 37(9): 1268-1276.
[14]	Zheng CAO, Zhifeng WU, Wenjun MA. Effect of anthropogenic heat release on temperature in different types of built-up land in Guangzhou, China [J]. PROGRESS IN GEOGRAPHY, 2018, 37(4): 515-524.
[15]	Lin MEI, Yanhua GUO, Yan CHEN. Spatiotemporal characteristics and influencing factors of population aging in Jilin Province [J]. PROGRESS IN GEOGRAPHY, 2018, 37(3): 352-362.