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黄河泥沙充填复垦耕地表层土壤垂直入渗特性研究

陈亚凯 邵芳 乔志勇 王婷婷 刘东文 蒋舒

中国生态农业学报Issue(7):798-805,8.
中国生态农业学报Issue(7):798-805,8.DOI:10.3724/SP.J.1011.2014.40086

黄河泥沙充填复垦耕地表层土壤垂直入渗特性研究

Vertical infiltration characteristics of reclaimed farmland soils with Yellow River sediment fill

陈亚凯 1邵芳 1乔志勇 1王婷婷 1刘东文 1蒋舒1

作者信息

  • 1. 中国矿业大学 北京 土地复垦与生态重建研究所 北京 100083
  • 折叠

摘要

Abstract

The technique of using Yellow River sediment to fill damaged farmlands in mining subsidence areas not only fully and rationally use Yellow River water and sediment resources, but also effectively increase farmland areas and improve re-gional environment. Infiltration is an important indicator for farmland soil and water conservation and nutrient retention. Lab infiltration apparatus was used to measure the vertical infiltration of reclaimed farmlands with Yellow River sediment fill. The aim of the study was to obtain the soil infiltration characteristics in Yellow River sediment fill farmland in the second year, and analyze and compare the experimental infiltration results of the first and second years of reclamation. Five infiltration models were selected to fit the characteristic curves of infiltration. The results showed that mean initial infiltration rate and mean sta-ble infiltration rate of control farmland were 13.95 mm·min-1 and 4.36 mm·min-1, which were 1.12 times and 2.19 times higher than that of fill farmlands in the second year of reclamation. The discrepancy was caused by the compaction effect of machi-nery used in the land reclamation process. The standard deviations of initial infiltration and stable infiltration rates of fill farmlands were 1.98 mm·min-1 and 2.1 mm·min-1, significantly lower than those of control farmland (P<0.05). Thus the in-filtration capacity of fill farmlands was steadier than control land. The mean initial infiltration rate and mean stable infiltration rate of fill farmlands in the second year of reclamation were 12.48 mm·min-1 and 1.99 mm·min-1, respectively;1.51 times and 1.43 times higher than that in the first year of reclamation. This suggested that infiltration rate of fill farmlands increased sig-nificantly (P<0.05) after two years of corn-wheat crop rotation. Thus farming practices, root development and the activities of soil microorganisms and small animals enhanced self-recovery capacity of fill farmlands. Therefore the study proposed cultivation of corps with well-developed root system to improve soil infiltration capacity in fill farmlands. In terms of the es- <br> timation of soil infiltration rated, Mezencev model was the best for fill farmland, followed by Kostiakov model, NRCS model, Horton model and the Philip model. For control farmlands, Kostiakov model was the best, followed by Mezencev model, NRCS model, Horton model and Philip model. For both fill farmlands and control farmlands, Mezencev model had the best fit result, followed by Kostiakov model, NRCS model, Horton model and then Philip model. As the difference in assessment in-dex between Mezencev model and Kostiakov model was small (P>0.05), both models had small fitting errors. However, be-cause some of the parameters of Mezencev model (a semi-empirical model) had real physical meaning, Mezencev model was considered to be better than Kostiakov model. In addition, the rankings of the models based on different assessment indices were basically similar. This led to a considerable consistency in RMSE, R2, SSE and Ajust-R2 of infiltration models. This study provided research methods for determining farmland infiltration characteristics and the significant results were achieved. The results therefore provided the scientific basis for the reconstruction and improvement of fill farmland soils. The study as well provided certain guiding codes and practical values for the management of farmland irrigation and drainage.

关键词

充填复垦/采煤沉陷地/黄河泥沙/耕地/入渗特征/入渗模型

Key words

Fill-reclamation/Coal-mine-subsidence/Yellow-River-sediment/Farmland/Infiltration-characteristics/Infiltration-model

分类

矿山工程

引用本文复制引用

陈亚凯,邵芳,乔志勇,王婷婷,刘东文,蒋舒..黄河泥沙充填复垦耕地表层土壤垂直入渗特性研究[J].中国生态农业学报,2014,(7):798-805,8.

基金项目

国家“十二五”科技支撑计划项目(2012BAC04B03)资助 (2012BAC04B03)

中国生态农业学报

OA北大核心CSCDCSTPCD

2096-6237

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