【摘要】：針對稀疏采樣條件下農(nóng)用地土壤砷含量空間分布難以高效準(zhǔn)確識別的問題,以廣東省東南部農(nóng)用地為例,采集表層土壤(0~20 cm)樣本104個,借助空間分析與多元回歸建模手段,分菜地、水田和果園3類農(nóng)用地分析土壤砷含量統(tǒng)計特征、模擬揭示土壤砷含量空間分異的成因與空間分布格局。結(jié)果表明:1)研究區(qū)農(nóng)用地土壤砷含量總體上達(dá)標(biāo),但個別樣點土壤砷含量值高達(dá)137.80 mg/kg,顯著高于國家土壤環(huán)境質(zhì)量二級標(biāo)準(zhǔn)(GB156182-1995);2)3類農(nóng)用地中菜地土壤砷含量最高、水田次之、果園相對較低,均值分別為11.04、9.89和2.54 mg/kg;3)各類農(nóng)用地土壤砷污染來源不同,菜地砷污染主要在不同地形條件下,受河流污水灌溉和煙囪排放的廢氣沉降隨地表徑流累積影響,在空間上呈現(xiàn)北部偏高、其他地區(qū)偏低的分布格局;4)水田砷污染受河流污水灌溉影響顯著,空間上呈現(xiàn)南北部偏高、中部地區(qū)偏低的污染格局。研究結(jié)果對在稀疏采樣監(jiān)測地區(qū)開展農(nóng)用地土壤重金屬污染制圖與精細(xì)防控策略的制定提供了一種行之有效的方法。
[Abstract]:In order to solve the problem that the spatial distribution of arsenic content in agricultural land is difficult to identify efficiently and accurately under sparse sampling conditions, 104 samples of surface soil (0 ~ 20 cm) were collected by spatial analysis and multivariate regression modeling, taking agricultural land in the southeast of Guangdong Province as an example. The statistical characteristics of arsenic content in soil were analyzed by three types of agricultural land, namely vegetable field, paddy field and orchard, and the spatial distribution pattern and cause of spatial differentiation of arsenic content in soil were revealed by simulation. The results showed that: 1) the arsenic content of agricultural land in the study area was up to the standard on the whole, but the value of arsenic content in the soil reached 137.80 mg/kg, significantly higher than that of the second grade national standard for soil environmental quality (GB156182-1995); 2) the content of arsenic in vegetable soil was the highest in the three types of agricultural land, followed by paddy field, and the orchard was relatively low, with the mean values of 11.04 mg/kg; and 2.54 mg/kg;, respectively. 3) the sources of arsenic pollution in different agricultural land are different. The arsenic pollution of vegetable land is mainly affected by the accumulation of surface runoff by river sewage irrigation and exhaust gas deposition of chimney discharge under different topographic conditions, and the north side of the soil is relatively high in space. Low distribution pattern in other areas; 4) arsenic pollution in paddy fields was significantly affected by river sewage irrigation, and the spatial distribution of arsenic pollution was higher in the north and south and lower in the central region. The results provide an effective method for mapping and fine control strategies of heavy metal pollution in agricultural soil in sparse sampling monitoring area.
【作者單位】： 中南大學(xué)有色金屬成礦預(yù)測與地質(zhì)環(huán)境監(jiān)測教育部重點實驗室;中南大學(xué)冶金與環(huán)境學(xué)院國家重金屬污染防治工程技術(shù)研究中心;
【基金】：中南大學(xué)‘創(chuàng)新驅(qū)動計劃’項目(2015CXS005) 中國博士后科學(xué)基金特別資助項目(2013T60780)
【分類號】：X53

【相似文獻】

相關(guān)期刊論文 前10條

1 張愛玲;楊麗娟;孫尉豪;祖艷群;;幾種蔬菜中砷含量及影響因素[J];安徽農(nóng)業(yè)科學(xué);2012年19期

2 姚春霞;尹雪斌;宋靜;李晨曦;錢薇;趙其國;駱永明;;某電子廢棄物拆卸區(qū)土壤、水和農(nóng)作物中砷含量狀況研究[J];環(huán)境科學(xué);2008年06期

3 李偉;劉暉;;成都地區(qū)典型土壤與農(nóng)作物中砷含量研究[J];四川環(huán)境;2008年05期

4 劉兆峰;;石墨爐原子吸收法測定河水中的砷含量[J];中國藥物經(jīng)濟學(xué);2012年02期

5 李力軍;李鵬;姜延國;張兆瑞;張光早;;氫化物原子熒光法測定生活飲用水中砷含量的不確定度評估[J];中國衛(wèi)生檢驗雜志;2011年06期

6 劉紅忠;;2006年且末縣生活飲用水氟化物、砷含量檢測結(jié)果分析[J];地方病通報;2007年05期

7 馬亞楠;何宗霖;李春;張伯偉;劉德陽;王志琴;姚剛;;新疆阿克蘇和伊犁地區(qū)肉牛產(chǎn)地土壤和水中砷含量的測定研究[J];新疆農(nóng)業(yè)科學(xué);2013年09期

8 喻光華,吳唐松;底泥中砷含量測定的4種前處理方法的比較[J];黑龍江環(huán)境通報;2001年01期

9 周榮群,溫興章,蔡輝光,張少忠;五華縣農(nóng)村井水中砷含量調(diào)查[J];公共衛(wèi)生與預(yù)防醫(yī)學(xué);2005年02期

10 王明國;李社紅;王慧;肖唐付;鄭寶山;;西藏地表水中砷的分布[J];環(huán)境科學(xué);2012年10期

相關(guān)會議論文 前1條

1 張愛玲;楊麗娟;孫尉豪;祖艷群;;幾種蔬菜中砷含量及影響因素研究[A];十一五農(nóng)業(yè)環(huán)境研究回顧與展望——第四屆全國農(nóng)業(yè)環(huán)境科學(xué)學(xué)術(shù)研討會論文集[C];2011年

，

本文編號：2379335