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Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

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2018 Impact Factor: 1.205

Front. Earth Sci.    2022, Vol. 16 Issue (3) : 819-833    https://doi.org/10.1007/s11707-021-0959-9
RESEARCH ARTICLE
Assessing effects of land use and land cover changes on hydrological processes and sediment yield in the Xunwu River watershed, Jiangxi Province, China
Guihua LIU1(), Britta SCHMALZ2, Qi ZHANG3, Shuhua QI1, Lichao ZHANG4,5, Shiyu LIU4
1. School of Geography and Environment, Key Laboratory of Poyang Lake Wetland and Watershed Research (Ministry of Education), Jiangxi Normal University, Nanchang 330022, China
2. Department of Civil and Environmental Engineering, Key Laboratory of Engineering Hydrology and Water Management, Technical University of Darmstadt, Darmstadt 64287, Germany
3. Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
4. College of Land Resources and Environment, Jiangxi Agricultural University, Nanchang 330045, China
5. Jiangxi Key Laboratory of Soil Erosion and Prevention, Jiangxi Institute of Soil and Water Conservation, Nanchang 330029, China
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Abstract

The effects of land use and land cover changes on hydrological processes and sediment yield are important issues in regional hydrology. The Xunwu River catchment located in the red soil hilly region of southern China has experienced drastic land use changes in the past 30 years, with orchard increases of approximately 42% and forest decreases of approximately 40%. These changes have resulted in some alterations of runoff and sediment yield. This study aims to evaluate effects of land use/land cover on runoff and sediment yield in the Xunwu River catchment. The SWAT model (Soil and Water Assessment Tool) was used for runoff and sediment simulation, and the results met the requirements of the model acceptance based on evaluation statistics of R2 (the coefficient of determination), PBIAS (percent bias), and NSE (Nash-Sutcliffe efficiency). Four land use scenarios representing the gradual expansion of orchards in the past 26 years were developed for assessment of hydrological processes and sediment yield simulation. As a result, both runoff and sediment yield were changed insignificantly with decrease rates of 1.84% and 5.29%, respectively. In addition, surface runoff accounts for the largest share of the runoff components, but the lateral flow changed more than other runoff components with a decrease rate of 10.96%. The results show that orchard expansion does not reveal severe water and soil loss. This study can contribute to the rational utilization of land and water resources in the red soil hilly area of southern Jiangxi Province.

Keywords land use change      orchard expansion      red soil hilly region      SWAT      runoff      sediment     
Corresponding Author(s): Guihua LIU   
Online First Date: 19 January 2022    Issue Date: 29 December 2022
 Cite this article:   
Guihua LIU,Britta SCHMALZ,Qi ZHANG, et al. Assessing effects of land use and land cover changes on hydrological processes and sediment yield in the Xunwu River watershed, Jiangxi Province, China[J]. Front. Earth Sci., 2022, 16(3): 819-833.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-021-0959-9
https://academic.hep.com.cn/fesci/EN/Y2022/V16/I3/819
Fig.1  A general orchard development process in the red soil hilly area of southern China. (a) Removing native land cover (forest is the majority of the original land use); (b) bare land before orchard planting (although there are soil and water conservation measures, soil erosion is very serious); (c) newly planted orchard tree seedlings (grass began to grow at this stage); (d) one year old orchard trees (soil erosion remains severe); (e) two year old orchard trees; (f) three year old orchards trees with fruit (increased surface coverage and reduced soil erosion); (g) mature orchard (four or more years old, with only slight soil erosion).
Fig.2  (a) Locations of the study area, climate stations, rainfall gauge stations, hydrological stations, and subbasins in the Xunwu River watershed; (b) soil map; (c) orchard terrace with grass planting in front ridge, back ditch and ladder wall (Duan et al., 2021).
Name Spatial/Temporal resolution Source
DEM 30 m ASTER GDEM
Land use 30 m (1990–2016) Downloaded from the National Earth System Science Data Center website
Soil 30 m Obtained from 1:500000 soil vector maps of Jiangxi Province
Climate Daily (1980–2018) China Meteorological Data Service Center (CMDC)
Rainfall Daily (1980–2018) Jiangxi Provincial Meteorological Bureau
Runoff Daily (1980–1992,
2009–2018)
Jiangxi Provincial Hydrological Resources Survey Bureau and Ganzhou Hydrology Bureau
Sediment Daily (2009–2018) Jiangxi Provincial Hydrological Resources Survey Bureau and Ganzhou Hydrology Bureau
Tab.1  The data sets used in the SWAT model for the Xunwu River watershed
Name Areal percentage/% Date Operation Comment
ORCD 39.22 1st March Fertilization NPK 15-15-15
1st July Fertilization NPK 15-15-15
15th August Fertilization Elemental N
15th December Harvest
Bench Terraces
& filter strips
FRST 51.83 default default
AGRL 7.70 default default
URHD 1.21 default default
WATR 0.04 default default
Tab.2  The land management setup in the SWAT model in the Xunwu River watershed
Rank Parameters* File Definition Range Fitted value
1 m_CN2 .mgt SCS runoff curve number 35–98 0.08
2 r_SURLAG .bsn Surface runoff lag time 0.05–24 2
3 r_USLE_P .mgt USLE equation support practices (P) factor 0–1 0.13
4 r_CH_N2 .rte Manning’s “n” value for the main channel 0–0.3 0.26
5 a_SLOPE .hru Mean slope within the HRU 0–0.6 0.02
6 r_ESCO .hru Soil evaporation compensation factor 0–1 0.48
7 r_SPCON .bsn Linear parameters for sediment 0.0001–0.01 0.0001
8 a_SOL_Z .sol Depth from soil surface to bottom of layer 0–3500 −50
9 r_ALPHA_BF .gw Baseflow alpha factor 0–1 0.04
10 r_GWQMN .gw Threshold depth of water in the shallow aquifer required for return flow to occur 0–5000 4908
11 r_CH_K2 .rte Effective hydraulic conductivity in main channel alluvium 0–500 146
12 m_SLSUBBSN .hru Average slope length 10–150 0.14
13 m_SOL_AWC .sol Available water capacity of the soil layer 0–1 0.11
14 r_SPEXP .bsn Exponent parameter for sediment re-entrainment 1–1.5 1.3
15 r_REVAPMN .gw Threshold depth of water in the shallow aquifer for “revap” to occur 0–500 9.57
16 r_GW_REVAP .gw Groundwater “revap” coefficient 0.02–0.2 0.1
17 r_RCHRG_DP .gw Deep aquifer percolation fraction 0–1 0.8
18 r_USLE_K .sol USLE equation soil erodibility (K) factor 0–0.65 0.2
19 r_OV_N .hru Manning’s “n” value for overland flow 0.01–30 18.5
20 r_PRF .bsn Peak rate adjustment factor for sediment routing in the main channel 0–2 1.5
Tab.3  Model parameters, the order of parameter sensitivity, the range and fitted values during the final iteration of the calibration process
Fig.3  Land use changes during 1990–2016. (a) Percent of various land use types; (b) distribution characteristics of different land use types.
Fig.4  Interannual variation characteristics of hydrometeorological data in the Xunwu River watershed: (a) variation trend of rainfall and runoff (1980–2018, runoff data missing during 1993−2008); (b) variation trend of sediment yield (2009–2018).
Period
Parameter
1980–1992 2009–2018
Rainfall Runoff Rainfall Runoff Sediment
Coefficient of variation (Cv) 0.16 0.29 0.23 0.35 0.54
Absolute variability ratio (K) 2.03 4.28 2.06 2.97 10.5
Interannual nonuniform coefficient (A) 0.75 0.6 0.62 0.54 0.51
Tab.4  Variations in the characteristic parameters of rainfall, runoff and sediment yield at Shuibei station
Fig.5  Temporal variability of observed and simulated monthly runoff at Shuibei station during 2009–2014: (a) calibration period; (b) validation period.
Model evaluation statistics Calibration period (2009–2011) Validation period (2012–2014)
Runoff/(m3·s−1) Sediment/t Runoff/(m3·s−1) Sediment/t
R2 0.94 0.78 0.84 0.82
PBIAS 5.88 20.26 −3.51 −2.36
NSE 0.92 0.73 0.91 0.74
Tab.5  Model evaluation statistics for monthly runoff and sediment yield during the calibration (2009–2011) and validation (2012–2014) periods
Fig.6  Temporal variability of observed and simulated values of monthly sediment yield during 2009–2014: (a) calibration period; (b) validation period.
Fig.7  Interannual variation in (a) annual runoff and (b) sediment yield under different simulated LUCC scenarios.
S1 S2 S3 S4 S1 vs. S2
Change/%
S2 vs. S3 Change/% S3 vs. S4 Change/% S1 vs. S4
Change/%
Runoff/(m3·s−1) 24.14 24.24 23.75 23.70 0.41 −2.04 −0.20 −1.84
Sediment/(104 t) 56.38 56.16 53.90 53.40 −0.40 −4.03 −0.91 −5.29
Tab.6  Statistics of runoff and sediment under different scenarios
Fig.8  Annual runoff components. (a) Surface runoff, (b) lateral flow, (c) groundwater flow, (d) water yield, and (e) evapotranspiration of HRU 320, HRU 321, and HRU 324 within Subbasin 45 under LUCC 2016 during 2009–2018.
HRU Type Soil Slope/(° ) SURQ/mm GWQ/mm LATQ/mm WYLD/mm ET/mm
320 ORCD Red soil 15−25 60.70 0.036 1.81 62.37 856.73
321 AGRL 69.83 0.040 1.45 71.12 753.3
324 FRST 63.35 0.038 2.03 65.24 822.3
Tab.7  The mean values of the runoff components (SURQ, GWQ, LATQ, and WYLD) under LUCC 2016 in HRU 320, HRU 321, and HRU 324 of subbasin 45 during 2009–2018
Fig.9  Elevation and slope distribution of orchards in the Xunwu River watershed during 1990–2016.
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