Quantitative Study on Soil Erosion of Waste Residue from Production and Construction Project in Jiangxi Province

Fang Huanying; Xie Songhua; Huang Pengfei; Liu Ying

doi:10.13961/j.cnki.stbctb.2019.02.021

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Quantitative Study on Soil Erosion of Waste Residue from Production and Construction Project in Jiangxi Province

- Quantitative Study on Soil Erosion of Waste Residue from Production and Construction Project in Jiangxi Province
- Bulletin of Soiland Water Conservation Vol. 39, Issue 2, Pages: 131-137(2019)
- 作者机构：
  
  1. 江西省水土保持科学研究院,江西,南昌,330029
  2. 江西农业大学,江西,南昌,330045
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2019.02.021
  CLC： S157.1
- Published：2019
- 稿件说明：
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Fang Huanying, Xie Songhua, Huang Pengfei, et al. Quantitative Study on Soil Erosion of Waste Residue from Production and Construction Project in Jiangxi Province[J]. Bulletin of Soiland Water Conservation, 2019, 39(2): 131-137.
DOI：

Fang Huanying, Xie Songhua, Huang Pengfei, et al. Quantitative Study on Soil Erosion of Waste Residue from Production and Construction Project in Jiangxi Province[J]. Bulletin of Soiland Water Conservation, 2019, 39(2): 131-137. DOI： 10.13961/j.cnki.stbctb.2019.02.021.

摘要

[目的]对江西省生产建设项目弃土弃渣土壤侵蚀状况进行研究，为定量研究该区自然降雨条件下弃土弃渣土壤侵蚀规律和生产建设项目土壤侵蚀预测提供科学依据。[方法]采用基于K均值分类法，将研究区降雨划分为A（极大雨量、较长降雨历时、中雨强、低频次）、B（中雨量、中等降雨历时、小雨强、高频次）、C（大雨量、长降雨历时、大雨强、低频次）、D（中雨量、短降雨历时、极大雨强、高频次）4种类型，并依托江西省德安县国家水土保持生态科技园内的8种弃土弃渣径流试验小区，开展弃土弃渣土壤侵蚀定量研究。[结果]通过1 a内43场侵蚀降雨小区观测，结果表明：① A，D雨型是导致弃土弃渣产流输沙的主要类型，B雨型影响最小，C雨型则介于A，D雨型之间。②红砂岩红壤（HSY），第四纪红黏土（SJHT），紫色土（ZSYY），煤矸石（MGS），房渣土（FZT），其产流输沙间呈显著相关性；稀土尾矿（XYWK），花岗岩红壤（HGY），电厂灰渣（DCHZ），则不具有显著的水沙关系；③不同弃土弃渣次降雨产沙量以大雨量以上雨型占比最高，均60%以上，最高达97%以上。[结论]建议生产实践中预测或监测裸露弃土弃渣时，宜根据实际需求选取不同类型降雨开展，最主要预测或观测50 mm以上大雨量侵蚀量，以提高预测准确度，大幅减少监测成本，提高监测效率。

Abstract

[Objective] The main objective of this paper is to quantitatively study soil erosion status of waste residue (such as spoil and slag) from production and construction project under natural rainfall conditions

and provide reference for soil erosion prediction in Jiangxi Province.[Methods] Based on K-means method

the local rainfall was classified into four types:A(maximum rainfall

long rainfall duration

moderate rain intensity

low frequency)

B(medium rainfall

medium rainfall duration

light rain intensity

high frequency)

C(large rainfall

long rainfall duration

heavy rain intensity

low frequency)

and D(medium rainfall

short rainfall duration

extremely heavy rain intensity

high frequency medium rainfall). In addition

the 8 kinds of spoil ground runoff test plots were chosen to carry out quantitative research on soil erosion of spoil in the National Soil and Water Conservation Ecological Science and Technology Park of De'an County

Jiangxi Province.[Results] Through the observation of 43 erosive rainfall in 1 year

the results show that:① The rainfall pattern of A and D are the main types

B has the least influence

and C falls in between A and D. ② There is significant correlation between runoff and sediment for red sandstone(HSY)

stencil red clay(SJHT)

purple soil (ZSYY)

coal gangue(MGS)

slag soil(FZT). ③ The rain pattern above large rainfall will lead to the highest sediment yield from the single abandoned waste residue.[Conclusion] When the bare abandoned soil and slag are predicted or monitored in production practice

different types of rainfall should be selected to carry out according to the actual demand

and the largest amount of large-scale rainfall over 50 mm is predicted or observed so as to improve the prediction accuracy and reduce the monitoring cost and improve the monitoring efficiency.

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