Elsevier

Journal of Hydrology

Volume 335, Issues 3–4, 15 March 2007, Pages 247-258
Journal of Hydrology

The effect of land uses and rainfall regimes on runoff and soil erosion in the semi-arid loess hilly area, China

https://doi.org/10.1016/j.jhydrol.2006.11.016Get rights and content

Summary

The main purpose of this article is to analyze runoff and soil loss in relation to land use and rainfall regimes in a loess hilly area of China. Based on 14 years of field measurements and K-means clustering, 131 rainfall events were classified into three rainfall regimes. Rainfall Regime II is an aggregation of rainfall events with such features as high intensity, short duration and high frequency. Regime I is the aggregation of rainfall events of medium intensity, medium duration and less frequent occurrence. Regime III is the aggregation of events of low intensity and long duration and infrequent occurrence. The following results were found. (1) Mean runoff coefficient and erosion modulus among the five land use types are: cropland > pastureland > woodland > grassland > shrubland. (2) The sensitivity of runoff and erosion to the rainfall regimes differ. Rainfall Regime II causes the greatest proportion of runoff and soil loss, followed by Regime I and Regime III. (3) The processes of runoff and soil loss, however, are complicated and uncertain with the interaction of rainfall and land use. This is mainly due to the different stages of vegetation succession. Based on these results, it was suggested that more attention should be paid to Rainfall Regime II since it had the most erosive effect. Shrubland is the first choice to control soil erosion when land use conversion is implemented, whereas pastureland (alfalfa) is not. Large-scale plantation of alfalfa therefore, should be avoided. Grassland and woodland can be used as important supplements to shrubland.

Introduction

Soil erosion, defined as the detachment and displacement of soil particles from the surface to another location (Govers et al., 1990, Flanagan, 2002), continues to be a primary cause of soil degradation throughout the world (Fu and Gulinck, 1994), and has become an issue of significant and severe societal and environmental concern (Elsen et al., 2003, Singha et al., 2006). Land use/cover, as one of the most important factors, influences the occurrence and the intensity of runoff and sediment yield (Hovius, 1998, Karvonen et al., 1999, Chen et al., 2001). Non-uniform variations in land use/vegetation coverage proved to be closely related to hydrological responses over catchments (Siriwardena et al., 2006). By properly adjusting of land use/land cover patterns, soil properties can be greatly improved, consequently reducing soil erosion to the allowed threshold (Fu, 1989, Chen et al., 2003), and the improved soil physical properties can also positively affect the establishment of vegetation (Kosmas et al., 2000). On the other hand, improper land use and/or cover patterns can cause severe water, soil and nutrient losses, and further land degradation (Luk et al., 1989, Costa et al., 2003).

Runoff and erosion processes, however, are strongly affected by many other factors besides land use/land cover. Among these factors, the one most mentioned is rainfall. Rainfall can cause soil erosion and runoff when it reaches the ground (Sharma et al., 1993, Dijk et al., 2002, Kinnell, 2005). Also, the spatiotemporal heterogeneity and uneven characteristics of rainfall play a key role in soil erosion (Li et al., 2000, Nearing, 2001, Bürger, 2002, Endale et al., 2006). Morin et al. (2006) found that complex interactions exist between the spatiotemporal distributions of rainfall systems and watershed hydrological responses. Local storm patterns are important in determining the shape of the runoff hydrograph (de Lima and Singh, 2002). Runoff and sediment generation in different land use types may thus vary greatly with various rainfall types. Addressing the response of runoff/erosion to different land use/land cover types and different rainfall types is therefore important for land use structure adjustment and vegetation restoration.

Rainfall classification, however, is an important problem, which needs to be solved. Most studies focused on the response of the runoff/erosion process to single rainfall pattern and different vegetation types (Yeh et al., 2000, de Lima et al., 2003, Kirkby et al., 2005). Undoubtedly, controlling soil erosion requires much more detailed and accurate data in the real world (Elsen et al., 2003). Many studies, however, are based on rainfall simulations, and thus the conclusions are often not applicable to the real world. For example, some authors have suggested that the nozzles of rainfall simulators produce low kinetic energies relative to natural rainfall (Luk et al., 1986). Madden et al. (1998) also found that the kinetic energy and erosivity of rainfall produced by simulators could be lower than that of natural rainfall. This insufficiency of energy plays an important role in infiltration capacity, preventing surface crusting and sediment detachment (Mathys et al., 2005). Other results also show that rainfall simulators are unable to reproduce natural rainfall conditions (Aizen et al., 2000, Mazi et al., 2004, Nearing et al., 2005). Accordingly, finding real rainfall-runoff-sediment patterns based on measurements are important for soil erosion control.

Soil loss and runoff studies at plot scales have been confirmed to be of crucial importance (Licznar and Nearing, 2003). Reliable and consistent erosion measurements and extensive field data have played primary roles in soil erosion analysis and prediction on larger scales (Zhang et al., 1996, Nearing et al., 1999). In addition, soil properties are always affected by land uses/vegetation evolution over long time scales (e.g., months-centuries), which then further influence runoff and soil erosion (Eagleson, 1982, Xu, 2005). For example, the accumulation of litter under plants contributes to increased surface roughness, higher infiltration rates, and decreased runoff generation thresholds (Boer and Puigdefábregas, 2005). Bochet et al. (1999) also found that topsoil modification and erosion processes are mainly due to the differential influences of species morphology (i.e., above-ground structure) and components (i.e., litter cover and organic matter). Moreover, the impact of plant roots on soil resistance to erosion by water is also significant (Hou, 1990, Zou et al., 2000, Gyssels et al., 2005, Mao et al., 2006). In general however, these kinds of long-term consecutive studies in arid and semi-arid areas are relatively scarce.

In this study, based on 14 years of field measurements in plots in a semi-arid loess hilly area, 131 rainfall events that produced runoff were recorded. On the basis of rainfall depth, duration and maximum 30-min intensity, all the events were classified into three categories. They were then used to analyze the effects of varying land uses and rainfall regimes on runoff and soil erosion. The specific objectives were: (1) to analyze the effects of land use/land cover on soil and water loss, (2) to determine the response of runoff and soil erosion to different rainfall regimes, and (3) to study the role of different land use types on soil erosion control under different rainfall regimes.

Section snippets

Study area

Our experiments were all conducted in a small catchment, Anjiapo Catchment, Dingxi, Gansu province, China (35°35′N, 104°39′E) in the middle reaches of the Yellow River (Fig. 1). This region is dominated by a temperate terrestrial climate with warm-humid summers and cold-dry winters. The average annual precipitation is about 427 mm, of which more than 80% falls from May to September. The potential annual transpiration, however, can reach 1510 mm. The mean monthly temperature ranges from −7.6 °C to

Rainfall regimes

Using K-means clustering, the 131 rainfall events were divided into three groups based upon three rainfall eigenvalues, including rainfall depth, duration and maximum 30-min intensity (Table 1).

In general, Rainfall Regime III has the highest values of mean rainfall depth and duration, followed by Rainfall Regime I and Rainfall Regime II. Mean maximum 30-min intensity, however, decreases in the order of Rainfall Regime II, Rainfall Regime I and Rainfall Regime III. Average rainfall eigenvalues

Effects of land uses on runoff and soil loss

In this study we found that runoff and soil loss varied among land use types (Table 2). This was explained in various ways by different scholars. First of all, vegetation canopy was thought to play a key role in protecting surfaces from erosion (Hovius, 1998, Karvonen et al., 1999, Xu, 2005, Pizarro et al., 2006). For example, Hou et al. (1996) found that when the coverage rate of vegetation increased from 10%, to 28%, 56% and 60%, soil erosion decreased from 1523 t km−2 to 527 t km−2, 218 t km−2 and

Conclusion and suggestion

In this study, three rainfall regimes were classified using K-means clustering based on rainfall depth, intensity and duration. Rainfall Regime II is the dominant aggregation of rainfall events, which have such features as high intensity, short duration and high frequency. Rainfall Regime I is the aggregation of rainfall events of medium intensity, duration and frequency. Rainfall Regime III is the aggregation of rainfall events of weak intensity, long duration and low frequency.

Results showed

Acknowledgements

The authors thank the Dingxi Institute of Soil and Water Conservation in Gansu province for providing experimental plots and pure-hearted field assistance. Sincere thanks are also expressed to Gansu Research Institute of Forestry. Ms. Victoria Wilhoite, at the University of South Florida School of Library and Information Science, is acknowledged for her valuable comments and English improvement. The authors express their appreciation to the reviewers by whose constructive remarks this paper has

References (80)

  • S. De Baets et al.

    Effects of grass roots on the erodibility of topsoils during concentrated flow

    Geomorphology

    (2006)
  • J.L.M.P. de Lima et al.

    The influence of the pattern of moving rainstorms on overland flow

    Advances in Water Resources

    (2002)
  • J.L.M.P. de Lima et al.

    The influence of storm movement on water erosion: storm direction and velocity effects

    Catena

    (2003)
  • K. Descheemaeker et al.

    Litter production and organic matter accumulation in exclosures of the Tigray highlands, Ethiopia

    Forest Ecology and Management

    (2006)
  • D.M. Endale et al.

    Hydrology of a zero-order Southern Piedmont watershed through 45 years of changing agricultural land use. Part 1. Monthly and seasonal rainfall-runoff relationship

    Journal of Hydrology

    (2006)
  • J.S. Famiglietti et al.

    Variability in surface moisture content along a hillslope transect: Rattlesnake Hill, Texas

    Journal of Hydrology

    (1998)
  • G. Gyssels et al.

    The impact of sowing density of small grains on rill and ephemeral gully erosion in concentrated flow zones

    Soil and Tillage Research

    (2002)
  • Sz. Horváth

    Spatial and temporal patterns of soil moisture variations in a sub-catchment of River Tisza

    Physics and Chemistry of the Earth

    (2002)
  • Y. Huang et al.

    The wheat yield and water-use efficiency in the Loess Plateau: straw mulch and irrigation effects

    Agricultural Water Management

    (2005)
  • I.J. Jackson

    Relationship between rainfall parameters and interception by tropical forest

    Journal of Hydrology

    (1975)
  • Y. Jia et al.

    Soil water and alfalfa yields as affected by alternating ridges and furrows in rainfall harvest in a semiarid environment

    Field Crops Research

    (2006)
  • T. Karvonen et al.

    A hydrological model for predicting runoff from different land use areas

    Journal of Hydrology

    (1999)
  • M.J. Kirkby et al.

    The influence of rainfall distribution and morphological factors on runoff delivery from dryland catchments in SE Spain

    Catena

    (2005)
  • C. Kosmas et al.

    The effect of land use on runoff and soil erosion rates under Mediterranean conditions

    Catena

    (1997)
  • C. Kosmas et al.

    The effect of land use change on soils and vegetation over various lithological formations on Lesvos (Greece)

    Catena

    (2000)
  • Y. Li et al.

    Changes of soil physical properties under long-term natural vegetation restoration in the Loess Plateau of China

    Journal of Arid Environment

    (2006)
  • P. Licznar et al.

    Artificial neural networks of soil erosion and runoff prediction at the plot scale

    Catena

    (2003)
  • S.H. Luk et al.

    Spatial and temporal variations in the strength of loess soils, Lishi, China

    Geoderma

    (1989)
  • N. Mathys et al.

    Runoff and erosion in the Black Marls of the French Alps: observations and measurements at the plot scale

    Catena

    (2005)
  • K. Mazi et al.

    Erratum to “A groundwater-based, objective-heuristic parameter optimisation method for a precipitation-run-off model and its application to a semi-arid basin” [Journal of Hydrology 290 (2004) 243–258]

    Journal of Hydrology

    (2004)
  • E. Morin et al.

    Spatial patterns in thunderstorm rainfall events and their coupling with watershed hydrological response

    Advances in Water Resources

    (2006)
  • M.A. Nearing et al.

    Modeling response of soil erosion and runoff to changes in precipitation and cover

    Catena

    (2005)
  • C. Perruchet

    Constrained agglomerative hierarchical classification

    Pattern Recognition

    (1983)
  • R. Pizarro et al.

    The effects of changes in vegetative cover on river flows in the Purapel river basin of central Chile

    Journal of Hydrology

    (2006)
  • J.W.A. Poesen et al.

    Soil losses due to harvesting of chicory roots and sugar beet: an underrated geomorphic process?

    Catena

    (2001)
  • G. Ruysschaert et al.

    Inter-annual variation of soil losses due to sugar beet harvesting in West Europe

    Agriculture, Ecosystems and Environment

    (2005)
  • L. Siriwardena et al.

    The impact of land use change on catchment hydrology in large catchment: The Comet River, Central Queensland, Australia

    Journal of Hydrology

    (2006)
  • H.-Y. Yeh et al.

    An objective approach for classifying precipitation patterns to study climatic effects on tree growth

    Forestry Ecology and Management

    (2000)
  • F. Zheng et al.

    Effects of erosion patterns on nutrient loss following deforestation on the Loess Plateau of China

    Agriculture, Ecosystems and Environment

    (2005)
  • Z. Zhou et al.

    Modeling vegetation coverage and soil erosion in the Loess Plateau Area of China

    Ecological Modeling

    (2006)
  • Cited by (380)

    View all citing articles on Scopus
    View full text