|
|
Change analysis and future prediction of soil erosion in Yulin in the context of Grain for Green Project |
YANG Bo1, WANG Quanjiu2, ZHOU Pei3, XU Xiaoting1, DANG Jiangru1 |
1. Institute of Natural Resources Environment and Historical Culture of Xianyang Normal University, 712000, Xianyang, Shaanxi, China; 2. Institute of Water Resources and Hydro-electric Engineering of Xi'an University of Technology, 710048, Xi'an, China; 3. School of Geographical Sciences, Fujian Normal University, 350007, Fuzhou, China |
|
|
Abstract [Background] Yulin, located in the north of Shaanxi province, is one of the most serious soil loss and fragile districts of ecology in the middle reaches of the Yellow River in China. The ecological fragile environment causes threat for the sustainable development of economical society. The Grain for Green policy was launched by the Chinese government in 1999, resulting in the ecological environment nowadays becoming better. This indicated by the obviously reduced soil erosion. However, changes of soil erosion in the future are important to the ecological environment in Yulin city, which is related to the sustainable development of Grain for Green policy.[Methods] To investigate the benefit of soil and water conservation and the change trend of soil erosion under Grain for Green Project in Yulin, the Least Square Method and Neural Network Model were used to predict the vegetation cover and land use types in the future. The soil erosion series from 2000 to 2017 was calculated by the slope water erosion equation used in China. The future soil erosion modulus was simulated under the conditions of the min/max and the multi-year average rainfall erosivity.[Results] 1) The annual average rainfall erosivity of the hilly and gully areas, western area and northern region ranged from 1 150 to 1 350 MJ·mm/(hm2·h), from 800 to 1 050 MJ·mm/(hm2·h) and from 1 000 to 1 150 MJ·mm/(hm2·h), respectively. Compared with from 1988 to 2000, the average rainfall erosivity of from 2001 to 2017 increased by 268.24 MJ·mm/(hm2·h). 2) The soil erosion modulus under the annual average rainfall erosivity decreased significantly from 3 559.99 t/(km2·a) in 2000 to 1 369.19 t/(km2·a) in 2017, and the amount of soil erosion decreased by 9.585×106 t. 3) The vegetation coverage (C) factors decreased from 0.164 (year 2000) to 0.069 (year 2017), and the predicted future C factor was 0.053. However, the Hurst index showed that the C factor in the future will increase up to 51%. This result shows that there is a risk of vegetation degradation in the future, especially for county of Jingbian, Shenmu, Dingbian, Fugu, and Hengshan as well as Yuyang district. 4) In future, the soil erosion modulus in the most areas will be <2 000 t/(km2·a), mainly mild and slight.[Conclusions] These results suggested that the modulus of soil erosion in this area will be <2 000 t/(km2·a) in the future. Soil erosion intensity is mainly slight and light erosion. The ecological environment will be improved further. In the next stage, the more attention should be pay to water resources carrying capacity and the ecological and soil and water conservation benefits.
|
Received: 20 December 2018
|
|
|
|
|
[1] |
刘国彬,上官周平,姚文艺,等.黄土高原生态工程的生态成效[J]. 中国科学院院刊, 2017, 32(1):11. LIU Guobin, SHANGGUAN Zhouping, YAO Wenyi, et al. Ecological effects of soil conservation in Loess Plateau[J]. Bulletin of Chinese Academy of Sciences,2017,32(1):11.
|
[2] |
赵安周,张安兵,刘海新,等. 退耕还林(草)工程实施前后黄土高原植被覆盖时空变化分析[J]. 自然资源学报,2017,32(3):449. ZHAO Anzhou,ZHANG Anbing,LIU Haixin,et al. Spatiotemporal variation of vegetation coverage before and after implementation of Grain for Green Project in the Loess Plateau[J]. Journal of Natural Resources,2017,32(3):449.
|
[3] |
赵文启,刘宇,罗明良,等.黄土高原小流域植被恢复的土壤侵蚀效应评估[J].水土保持学报, 2016,30(5):89. ZHAO Wenqi,LIU Yu,LUO Mingliang,et al. Effect of revegetation on soil erosion in small watershed of the Loess Plateau[J]. Journal of Soil and Water Conservation,2016,30(5):89.
|
[4] |
杨波,王全九,郝姗姗. 佳芦河流域1988-2013年土壤侵蚀时空变化特征[J]. 水土保持学报, 2017,31(5):87. YANG Bo,WANG Quanjiu,HAO Shanshan. The characteristic of temporal and spatial variation of soil erosion change in Jialu River Watershed from1988 to 2013[J]. Journal of Soil and Water Conservation,2017,31(5):87.
|
[5] |
SUN Wenyi,SHAO Quanqin,LIU Jiyuan,et al. Assessing the effects of land use and topography on soil erosion on the Loess Plateau in China[J].Catena,2014,21(7):151
|
[6] |
张晨成. 黄土高原退耕还林的土壤水分效应研究[D].陕西杨凌:中国科学院教育部水土保持与生态环境研究中心,2017:54. ZHANG Chencheng. Study on soil water effects of returning farmland to forest on the Loess Plateau of China[D]. Yangling,Shaanxi:Institute of Soil and Water Conservation of Chinese Academy of Sciences,2017:54.
|
[7] |
李会霞,史兴民. 近50 a来黄土高原地区暖冬现象的气候特征[J]. 干旱区研究,2017,34(1):136. LI Huixia,SHI Xingmin. Climate change in warm winter over the Loess Plateau during the period of 1965-2014[J]. Arid Zone Research,2017,34(1):136.
|
[8] |
王利娜,朱清科,仝小林,等. 黄土高原近50年降水量时空变化特征分析[J]. 干旱地区农业研究,2016,34(3):206. WANG Lina,ZHU Qingke,TONG Xiaolin,et al. Characteristic analysis of temporal and spatial variation of precipitation during recent 50 years in Loess Plateau[J]. Agricultural Research in the Arid Areas,2016,34(3):206.
|
[9] |
高海东,庞国伟,李占斌,等. 黄土高原植被恢复潜力研究[J]. 地理学报,2017,72(5):863. GAO Haidong, PANG Guowei, LI Zhanbin, et al. Evaluating the potential of vegetation restoration in the Loess Plateau[J]. Acta Geographica Sinica,2017,72(5):863.
|
[10] |
YANG Bo,WANG Quanjiu,XU Xiaoting. Evaluation of soil loss change after Grain for Green Project in the Loss Plateau:A case study of Yulin,China[J]. Environmental Earth Sciences, 2018, 77(8):304.
|
[11] |
江忠善,郑粉莉,武敏. 中国坡面水蚀预报模型研究[J]. 泥沙研究,2005,50(4):1. JIANG Zhongshan,ZHENG Fenli,WU Min. Prediction model of water erosion on hillslopes[J]. Journal of Sediment Research,2005,50(4):1.
|
[12] |
谢云,刘宝元,章文波.侵蚀性降雨标准研究[J].水土保持学报,2000,14(4):6. XIE Yun,LIU Baoyuan,ZHANG Wenbo. Study on standard of erosive rainfall[J]. Journal of Soil Water Conservation,2000,14 (4):6.
|
[13] |
章文波,谢云,刘宝元,等.利用日雨量计算降雨侵蚀力的方法研究[J].地理科学,2002,22(6):705. ZHANG Wenbo,XIE Yun,LIU Baoyuan,et al. Rainfall erosivity estimation using daily rainfall amounts[J]. Scientia Geographica Sinica,2002,22(6):705.
|
[14] |
符素华,刘宝元,周贵云,等. 坡长坡度因子计算工具[J]. 中国水土保持科学, 2015, 13(5):105. FU Suhua,LIU Baoyuan,ZHOU Guiyun,et al. Calculation tool of topographic factors[J]. Science of Soil and Water Conservation,2015,13(5):105.
|
[15] |
WANG Bing,ZHENG Fenli,MATHIAS J M,et al. Comparison of soil erodibility factors in USLE,RUSLE2, EPIC and Dg models based on a Chinese soil erodibility database[J]. Acta Agriculturae Scandinavica,2013,63(1):69.
|
[16] |
蔡崇法,丁树文,史志华,等.应用USLE模型与地理信息系统IDRISI预测小流域土壤侵蚀量的研究[J].水土保持学报,2000,14(2):19. CAI Chongfa, DING Shuwen, SHI Zhihua, et al. Study of applying USLE and geographical information system IDRISI to predict soil erosion in small watershed[J]. Journal of Soil and Water Conservation,2000,14(2):19.
|
[17] |
林杰,张金池,顾哲衍,等. 基于叶面积指数的植被覆盖管理措施因子C的遥感定量估算[J]. 林业科学,2013,49(2):86. LIN Jie,ZHANG Jinchi,GU Zheyan,et al. Quantitative assessment of vegetation cover and management factor based on leaf area index and remote sensing[J]. Scientia Silvae Sinicae, 2013, 49(2):86.
|
[18] |
赵安周,刘宪锋,朱秀芳,等. 2000-2014年黄土高原植被覆盖时空变化特征及其归因[J]. 中国环境科学,2016,36(5):1568. ZHAO Anzhou,LIU Xianfeng,ZHU Xiufang,et al. Spatiotemporal analyses and associated driving forces of vegetation coverage change in the Loess Plateau[J]. Chinese Environmental Science,2016, 36(5):1568.
|
[19] |
LIU Xiaoping, XUN Liang, XIA Li, et al. A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects[J]. Landscape & Urban Planning,2017(168):94.
|
[20] |
曹帅,金晓斌,杨绪红,等.耦合MOP与GeoSOS-FLUS模型的县级土地利用结构与布局复合优化[J]. 自然资源学报,2019,34(6):1171. CAO Shuai,JIN Xiaobin,YANG Xuhong,et al. Coupled MOP and GeoSOS-FLUS models research on optimization of land use structure and layout in Jintan district[J]. Journal of Natural Resources, 2019,34(6):1171.
|
[21] |
谢红霞.延河流域土壤侵蚀时空变化及水土保持环境效应评价研究[D]. 西安:陕西师范大学, 2008:86. XIE Hongxia. Study on the spatio-temporal change of soil loss and on the assessment of impacts on environment of soil and water conservation[D].Xi'an:Shaanxi Normal University,2008:86.
|
[22] |
信忠保,许炯心. 黄土高原地区植被覆盖时空演变对气候的响应[J]. 自然科学进展,2007, 17(6):770. XIN Zhongbao,XU Jiongxin. Response of temporal and spatial evolution of vegetation cover to climate in loess plateau region[J].Progress in Natural Science,2007,17(6):770.
|
[23] |
杨泽粟. 黄土高原植被生理过程和蒸散量计算方法及变化特征研究[D].兰州:兰州大学,2016:56. YANG Zeli. Plants physiological processes and estimation and spatial-temporal variation of evapotranspiration over Loess Plateau[D]. Lanzhou:Lanzhou University,2016:56.
|
[24] |
孙淼. 黄土高原实际蒸散发模拟与植被用水可持续性分析[D].陕西杨凌:西北农林科技大学,2018:30. SUN Miao. Actual evapotranspiration modelling and the sustainability of vegetation water use in the Loess Plateau[D]. Yangling, Shaanxi:Northwest Agriculture & Forestry University,2018:30.
|
[25] |
中华人民共和国水利部. SL 190-2007土壤侵蚀分类标准[S].北京:中国水利水电出版社,2008:8. Ministry of Water Resources, the People's Republic of China. SL 190-2007 Standard for classification and gradation of soil erosion[S]. Beijing:China Water Conservancy and Hydropower Press,2008:8.
|
[26] |
汪明霞,程林,王卫东.黄土高原水-土-植被系统土壤侵蚀模型研究[J].人民黄河,2013,35(9):89. WANG Mingxia,CHENG Lin,WANG Weidong. Research on soil erosion under the changes of water-soil-plant system in Loess Plateau typical area[J]. Yellow River,2013,35(9):89.
|
[27] |
JIAN Shen,ZHAO Chun, FANG Shen, et al. Effects of different vegetation restoration on soil water storage and water balance in the Chinese Loess Plateau[J]. Agricultural & Forest Meteorology, 2015,206:85.
|
[28] |
白永红,高志永,陆静等. 模拟干化土壤中的植被生长及土壤水分变化[J]. 西北林学院学报, 2018,33(5):7. BAI Yonghong,GAO Zhiyong,LU Jing,et al. Effects of simulated dry soil on vegetation growth and soil water variaton[J]. Journal of Northwest Forestry University,2018,33(5):7.
|
[29] |
LI Shuai,LIANG Wei,FU Bojie, et al. Vegetation changes in recent large-scale ecological restoration projects and subsequent impact on water resources in China's Loess Plateau[J]. Science of the Total Environment,2016,570(1):1032.
|
[30] |
ZHAO Anzhou,ZHANG Anbing,CAO Sen,et al. Responses of vegetation productivity to multi-scale drought in Loess Plateau,China[J]. Catena, 2018(163):165.
|
|
|
|