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1.
基于高光谱数据快速准确估算土壤养分含量,可为土壤养分监测及土壤理化参数反演提供优化方法.本研究在陕北黄土丘陵沟壑区选取典型样地,分析土壤养分含量与光谱反射率的定量关系,采用连续投影算法提取其光谱特征波长,利用偏最小二乘法、多元线性回归法、支持向量机法分别对土壤有机质、全氮、全磷、全钾含量进行预测并对比分析,构建该区域土壤养分含量的最优高光谱预测模型.结果表明: 黄土丘陵沟壑区土壤养分含量与光谱反射率在可见光区(400~760 nm)和近红外区(760~1100 nm)相关性较高,相关系数最大值均位于这两个光谱区间.4种土壤养分含量的SPA-SVM模型的普适性好且反演精度高,建模过程简单高效,适用于小数据量试验.本研究结果可为采用机器学习算法构建黄土丘陵沟壑区土壤养分含量高光谱预测模型提供参考.  相似文献   

2.
福建漳州市香蕉园土壤重金属污染调查分析   总被引:1,自引:0,他引:1  
调查福建省漳州市香蕉园土壤重金属Cd、Pb、Hg、Cr、Cu及非重金属有害元素As含量,并采用单项污染指数法和综合污染指数法进行评价。结果表明,以福建土壤背景值为评价标准,漳州市部分香蕉园土壤受到重金属污染,单项污染指数的顺序为Hg(1.60)> Pb(1.26)> Cd(1.07)> Cu(0.76)> As(0.50)> Cr(0.38),污染元素主要为Cd、Pb、Hg,其中Cd、Hg为中度污染;综合污染指数为1.16,属轻度污染。而以土壤环境质量二级标准为评价标准,其综合污染指数为0.34,表明未受污染。对不同取样点土壤重金属污染情况比较分析,说明道路交通、生活垃圾及生活污水均会造成香蕉园土壤不同程度的重金属污染,主要表现为Cd、Pb、Hg的污染。  相似文献   

3.
上海世博会规划区是工厂和居民区混杂的典型老城区.对其主要土地利用方式下附属绿地土壤的重金属进行调查分析.结果表明:部分样点的Ni、Cr、Cu、Zn、Pb和Cd含量超标,Hg和As的含量均没有超标;大部分绿地土壤没有出现重金属的污染,其中清洁安全和尚清洁占了69.83%和6.94%,轻度污染、中度污染和重度污染的分别占了12.87%、2.56%和7.81%;周边利用类型不同的附属绿地土壤重金属含量差别很大,居民办公区的绿地土壤没有出现重金属污染,试剂溶剂类工厂局部有重金属污染,重金属污染主要集中在造船厂、机械厂、钢铁厂等重型工厂的附属绿地;利用类型不同绿地土壤重金属的相关性也不同,重金属的相关性基本与产生污染的土地利用类型一致;污染源的距离以及对污染源保护不当是导致绿地土壤重金属污染的主要因素,注意对污染源的集中堆置或采取隔离措施,能有效减少重金属对绿地的污染.  相似文献   

4.
枯草芽孢杆菌肥在罗汉果上应用的效应分析   总被引:1,自引:0,他引:1  
以罗汉果永青2号品种为材料,在连作6 a罗汉果的地块上,用地膜覆盖和区间隔离的方法,施入不同浓度的枯草芽孢杆菌肥,观察土壤微生物数量、罗汉果叶绿素量、白绢病发生率、产量及皂苷Ⅴ的变化,研究枯草芽孢杆菌肥对多年种植罗汉果地块的土壤微生物,植株生长和品质的影响。结果表明:枯草芽孢杆菌肥明显提高0~20 cm土壤微生物的数量,尤其是细菌数量和放线菌明显高于对照;而引发植株发病的真菌数量显著减少,最多能减少13.8%。提高罗汉果植株叶片叶绿素含量,促进叶绿素a、叶绿素b的形成,有利光合作用积累,同时,能增加叶绿素c含量,提高植株抗逆性;能抑制或降低白绢病病菌感染,减少白绢病发生。罗汉果果实产量得到明显提高,最大提高17.5%,同时,大中果比率提高7.5%,优化了罗汉果商品的物理性状;能改善罗汉果品质,提高其内含物的含量,果实中的主效成份皂苷Ⅴ含量达到1.33%,显著高于对照。该研究结果为罗汉果产区使用枯草芽孢杆菌肥连续种植罗汉果提供了依据。  相似文献   

5.
为探讨铅锌矿废弃地优势植物在重金属污染土壤植物修复中的应用潜力,利用野外采样分析法,从粤东梅县丙村铅锌尾矿区采集其三种优势植物类芦、黄荆、盐肤木的根、茎、叶和土壤样品,测定和分析Pb、Zn、Cu、Cd四种重金属含量.结果表明:该矿区土壤污染严重,Pb、Zn、Cd含量远超土壤环境质量的三级标准,Cu超出二级标准;根际土壤和非根际土壤重金属含量均为Pb>Zn>Cu>Cd,但根际土壤的重金属含量显著低于非根际土壤;这三种植物对Pb、Zn、Cu的转移系数大于1.0,对Cu的富集系数最高,Pb最小,但对四种重金属的富集系数均小于1.0,均未达到超富集植物临界含量标准.三种植物为该矿区的优势植物,说明它们对土壤的重金属污染有很强的耐性,虽然并非典型的超富集植物,但对污染土壤仍有较好的修复效果.  相似文献   

6.
白银市不同功能区土壤重金属污染特征及其健康风险评价   总被引:2,自引:0,他引:2  
调查了白银市生活区、工业区、交通区、公园绿地和山区5个功能区表层土壤中重金属As、Cd、Cr、Cu、Hg、Ni、Pb和Zn含量,并采用单因子指数法、内梅罗综合指数法和健康风险表征模型评价重金属污染水平及对人体的健康风险。结果表明,白银市各功能区土壤Cu、Cd、Hg、Pb和Zn含量显著高于甘肃土壤背景值,且工业区土壤Cu含量超过了国家土壤质量二级标准。内梅罗综合指数表明:各功能区污染程度表现为工业区交通区公园绿地生活区山区;除山区外,各功能区受Hg、Zn、Pb和Cd污染较严重,其中以Hg污染最为严重。健康风险表征模型表明:重金属对儿童的HI(总非致癌风险)和TCR(总致癌风险)均大于成人,各功能区HI和TCR均表现为工业区、生活区交通区公园绿地山区;土壤As、Cr和Pb是各功能区非致癌风险最主要的3个贡献因子;土壤As和Cr是各功能区致癌风险最主要的2个贡献因子。  相似文献   

7.
阜新市农田土壤重金属含量及其分布特征   总被引:3,自引:0,他引:3  
通过对辽宁省阜新市城郊区县180处农田土壤的取样调查分析,初步了解了农田土壤重金属As、Cu、Zn、Ni的含量特征及其空间分布,并探讨了当地矿业开采活动对农田土壤重金属积累及空间分布的影响.结果表明,研究区域内农田土壤Cu、Zn和Ni的几何平均含量均高于背景值,且这3种重金属存在普遍累积的现象;不同种植类型土壤中,菜地土壤Cu、Zn、As含量显著高于粮田,且重金属积累更为明显;4种重金属的空间分布均呈城区高于郊县的趋势;重金属含量较高的区域与矿山开采区域基本重叠.研究区域内采矿活动是农田重金属的重要来源,同时畜禽养殖业所产生的畜禽粪便可能对农田土壤中Cu、Zn和As的增加有一定作用.当地农牧业生产和布局应适当考虑土壤污染的风险.  相似文献   

8.
天津公园灰尘与土壤重金属污染特征   总被引:4,自引:0,他引:4  
对天津市区41个代表性公园及滨海新区10个大型公园灰尘和土壤重金属理化性质及含量进行了测定,分析了灰尘和土壤中重金属的空间分布特征.结果表明:天津市公园灰尘和土壤粒径分布呈双峰或多峰分布特征;灰尘和土壤中有机质平均含量分别为49.10和27.15 g·kg-1.公园灰尘重金属Cu、Pb、Cr、Cd和Ni含量均值分别为113.88、76.81、141.53、1.30和114.70 mg·kg-1,土壤中则分别对应41.68、30.76、96.43、1.01和34.03 mg · kg-1,均高于天津市土壤背景值.天津和平区、南开区东北部与河西区所受重金属污染较小.相关分析与主成分分析表明,有机质是灰尘与土壤中重金属Cd的重要载体,包括交通流量、工业活动等在内的人为因素是公园灰尘、土壤重金属Cr、Ni、Cu、Pb的主要来源.  相似文献   

9.
河岸带土壤重金属元素的污染及危害评价   总被引:5,自引:0,他引:5  
测定了金水河流域河岸带土壤部分重金属的全量和土壤水溶液的离子含量,运用污染指数和生态风险评价法对流域内土壤重金属进行评价.不同土地利用类型中,漫滩V、Cr含量最高(130.89、363.29 mg·kg-1),草地Ni、Pb、Ti、Mn、Zn、Cu含量最高(32.52、24.61、4378.09、1289.62、91.44、29.71 mg·kg-1).这主要是因为草地、漫滩能够有效吸附和沉积重金属,同时人类活动明显增加重金属生态危害.金水河流域河岸带土壤Cr、Pb、Zn均超过土壤环境质量标准(GB 15618-1995).与此同时,河漫滩白浆化棕壤和钙质粗骨土碳酸钙含量高,对Pb、Zn有较强的吸附和固定作用,能够有效吸附和沉积重金属;河漫滩人类干扰较重,造成其重金属含量较高.评价结果表明,流域河岸带内重金属环境污染达到中、重度污染,生态危害等级为轻微到中等级别.提高土壤腐殖质含量是减轻污染危害及增强土壤自净能力的重要措施.  相似文献   

10.
在实地采样的基础上,应用MLP神经网络模型和GIS技术,对现代黄河三角洲3类不同道路两侧边际50m带状区域内的土壤重金属含量进行了逐栅格模拟.结果表明:东部和北部的自然保护区以及东北沿海地区道路边际土壤重金属含量较低,西南部人口密集区重金属含量较高.研究区道路边际土壤的Mn、Zn、Cr、Cu、Pb、Cd等重金属平均含量分别达到509.57、61.26、58.55 、32.40、26.07mg/kg和0.27mg/kg,Cd污染较为严重,其余金属含量均低于国家土壤环境质量I级标准.道路对其边际重金属的累积作用明显,但对环境尚未造成广泛和显著的危害.不同道路类型的土壤重金属含量高速公路RG>省道RS>县乡公路RX(除Pb外).在风向、土壤性质和地表植被覆盖等主要因素的影响下,道路边重金属含量在30m以内达到峰值,但因重金属扩散机理的差异,变化规律有所不同.  相似文献   

11.
朱立安  曾清苹  柳勇  柯欢  程炯  张会化  李俊杰 《生态学报》2020,40(13):4659-4669
富集重金属的枯落物分解可能提高重金属暴露率,增加人体接触健康风险。为了解南方城市土壤重金属在森林生态系统中的分布及流转情况,通过调查研究了佛山市8个典型森林群落土壤及枯落物重金属含量,分析了各森林群落枯落物对不同重金属的富集效应及重金属随枯落物回归土壤流通量。结果表明:1)城市森林各土壤重金属含量在不同典型群落间差异显著(P<0.05),差异最大为Pb、Cr、Zn,As、Cu、Ni次之,Hg、Cd最小;土层深度(0-20,20-40,40-60 cm)对重金属含量影响显著(P<0.05),差异最大为Cd、Hg,其次为As、Cu,最小为Zn、Ni、Pb、Cr。整体上,Cd、Hg、As、Pb、Zn在0-20 cm最高,表层富集特征明显,Cr和Ni在40-60 cm最高。2)8个森林群落中阴香-白楸-醉香含笑群落(CMMC)枯落物对8种重金属的综合富集系数(TBCF,66.76)最高,其中以Cd的富集效果最突出,富集系数为44.45,且对Pb、Cu、Zn也相对富集;最低的为黧蒴锥-香椿-樟树群落(CTCC),综合富集系数(TBCF)为8.09,仅对Cd、Cr、Cu相对富集,对其余重金属富集效应不明显。3)相关分析显示,群落重金属枯落物流通量与0-60 cm土壤重金属平均含量(Cr和Ni除外)无显著相关性。本研究对城市森林建设管理及筛选重金属富集植物及群落具有较强理论及实践意义。  相似文献   

12.
为探讨油茶(Camellia oleifera)产地土壤和油茶果实中金属元素分布和富集特征,在油茶果实成熟期,对浙江5个油茶产地土壤及油茶果实中金属元素进行污染分析和富集能力评价.结果表明,浙江油茶产地土壤中Pb、Cr、Cd、As、Hg、Ni、Cu和Zn含量低于农用地土壤污染风险筛选值,综合污染等级为安全.个别产区常山...  相似文献   

13.
A total of 455 agricultural soil samples from four nonferrous mines/smelting sites in Shaoguan City, China, were investigated for concentrations of 10 heavy metals (As, Cd, Co, Cr, Cu, Hg, Mn, Ni, Pb, and Zn). The mean concentrations of the metals were 72.4, 5.16, 13.3, 54.8, 84.5, 1.52, 425, 28.2, 529, and 722 mg kg?1, respectively. The values for As, Cd, Hg, Pb, and Zn were more than 8 and 1.5 times higher than their background values in this region and the limit values of Grade II soil quality standard in China, respectively. Estimated ecological risks based on contamination factors and potential ecological risk factors were also high or very high for As, Cd, Hg, and Pb. Multivariate analysis (Pearson's correlation analysis, hierarchical cluster analysis, and principal component analysis) strongly implied three distinct groups; i.e., As/Cu/Hg/Zn, Co/Cr/Mn/Ni, and Cd/Pb. Local anomalies for As, Cu, Hg, and Zn by a probably anthropogenic source (identified as mining activity), Co, Cr, Mn, and Ni by natural contribution, and a mixed source for Cd and Pb, were identified. This is one of the few studies with a focus on potential sources of heavy metals in agricultural topsoil around mining/smelting sites, providing evidence for establishing priorities in the reduction of ecological risks posed by heavy metals in Southern China and elsewhere.  相似文献   

14.
成都平原北部水稻土重金属含量状况及其潜在生态风险评价   总被引:13,自引:0,他引:13  
秦鱼生  喻华  冯文强  王正银  涂仕华 《生态学报》2013,33(19):6335-6344
为了解成都平原水稻土重金属含量状况和潜在的生态风险,选取成都平原北部水稻土典型区域为研究对象,采集了158个表层土壤样品,分析了土壤中pH值和Cd、Cu、As、Hg、Pb、Cr、Ni 7种重金属元素含量,以20世纪80年代测定的成都平原土壤重金属元素背景值为评价标准,采用Hakanson潜在生态危害指数法对研究区域的重金属潜在生态风险进行了评价。结果表明:研究区域水稻土Cd、Hg、Ni、Cu、Pb、Cr和As平均含量分别为0.709、0.187、32.08、34.12、31.52、82.13 mg/kg和7.25 mg/kg;Cd、Ni、Cu和Hg 4种重金属超过《土壤环境质量标准》(GB15618-1995) Ⅱ级标准值样本比例分别为87.34%、8.23%、3.80%和3.80%,Cd含量超标严重。7种重金属元素变异系数幅度为18.35%-49.03%,由大到小依次为Cd、Hg、Cu、As、Ni、Cr、Pb。75.32%的样本达到中度或较强重金属潜在生态风险,区域整体表现为中度潜在生态风险(RI平均值为198.65),Cd和Hg为高生态风险元素,对潜在生态风险贡献率分别为62.27%和20.78%,As、Pb、Cu、Ni、Cr为低生态风险元素;风险概率图显示城区周边和绵远河沿线的潜在生态风险等级较高。因此,成都平原水稻土农业生产中应采取一定的措施防控农产品Cd和Hg污染。  相似文献   

15.
新疆焉耆盆地辣椒地土壤重金属污染及生态风险预警   总被引:5,自引:0,他引:5  
从新疆加工辣椒主产地(焉耆盆地)采集105个辣椒地典型土壤样品,测定其中As、Cd、Cr、Cu、Mn、Ni、Pb和Zn等8种重金属元素的含量。采用污染负荷指数(Pollution load index,PLI)、潜在生态风险指数(Potential ecological risk index,RI)和生态风险预警指数(Ecological risk warning index,I_(ER))对辣椒地土壤重金属污染及生态风险进行评价。结果表明:(1)焉耆盆地辣椒地土壤Cd、Cr、Ni、Pb和Zn含量的平均值分别超出新疆灌耕土背景值的1.65、1.40、1.32、3.21、6.42倍。辣椒地土壤Pb和Zn呈现重度污染,Cd、Cr和Ni轻度污染,As、Mn和Cu无污染。(2)土壤PLI平均值为1.40,呈现轻度污染。各重金属元素单项生态风险指数从大到小依次为:Cd、Ni、As、Cu、Pb、Cr、Zn。土壤RI平均值为18.40,属于轻微生态风险态势,IER平均值为-4.78,属于无警态势;博湖县辣椒地污染水平、潜在生态风险程度与生态风险预警等级最高,焉耆县污染水平、潜在生态风险程度与生态风险预警等级最低。(3)辣椒地土壤As、Cd、Pb与Zn主要受到人类活动的影响,Cr、Cu、Mn和Ni主要受到土壤地球化学作用的控制。Cd是焉耆盆地辣椒地生态风险等级最高的重金属元素,研究区农业生产过程中要防范Cd的污染风险。  相似文献   

16.
贵州兴仁煤矿区农田土壤重金属化学形态及风险评估   总被引:2,自引:0,他引:2  
为了解煤矿区周边农田土壤重金属污染状况,采集了贵州省兴仁县某典型煤矿区农田土壤样品64份,测定了土样中重金属(As、Cr、Pb、Zn、Cd、Hg、Cu、Ni)总量及各形态含量,采用单因子指数法、潜在生态风险指数法(Hkanson法)和风险评估编码法(RAC)对研究区主要土壤利用类型(水稻土、薏米地、植烟土和菜园土)中重金属进行潜在生态风险评估和环境风险评价.结果表明: 不同利用类型土壤中重金属含量除Zn外,其他元素均明显超过贵州省背景值.单因子指数法评价结果表明,As、Pb、Hg和Cu污染较为严重,均属重度污染.形态分析表明,土壤中重金属形态构成差异明显,酸可提取态As、酸可提取态Cd所占比例较高;Cr、Zn、Cu、Ni主要以残渣态为主;Pb主要以可还原态和残渣态为主;而Hg的酸可提取态、可还原态、可氧化态均占有相当比例,三者之和大于55%.重金属可利用度大小顺序为:As(63.6%)>Hg(57.3%)>Cd(56.4%)>Pb(52.5%)>Cu(45.7%)>Zn(32.8%)>Ni(26.2%)>Cr(13.2%).潜在生态风险指数表明,各类型土壤潜在生态风险(RI)〖JP2〗为:菜园土(505.19)>薏米地(486.06)>植烟土(475.33)>水稻土(446.86),均处于较高风险.风险评估编码法结果显示,As在水稻土、薏米地及植烟土中均处于高风险,在菜园土中处于中等风险;Cd、Hg均处于中等风险,Cr、Pb、Zn、Cu和Ni均处于低风险.因此,对该区域农田土壤进行管控时应重点考虑As、Cd和Hg污染.  相似文献   

17.
The objective of this study is to assess the spatial distribution and uncertainty of the potential ecological risks of heavy metals in soil using sequential Gaussian simulation (SGS) and the Hakanson potential ecological risk index (PERI). We collected 130 soil samples in an area of 150 km2 in the High-Tech Park of Wuhan, China, and measured the concentrations of five heavy metals in soil (i.e., Cd, Cr, Cu, Pb, and Zn). We then simulated the spatial distribution of each heavy metal using SGS, and calculated Hakanson PERIs for individual metals and multiple metals based on the simulated realizations. The spatial uncertainty of the Cd PERI and its occurrence probabilities in different risk grades were further assessed. Results show that the potential ecological risks of Cr, Cu, Pb, and Zn are relatively low in the study area, but Cd indeed reaches a serious level that deserves much attention and essential treatment. The total PERI of multiple heavy metals indicates a moderate grade in most of the study area. In general, combining SGS and the Hakanson PERI appears to be an effective method for evaluating the potential ecological risks of heavy metals in soil and the priority areas for remediation.  相似文献   

18.
Superficial (0 to 2 cm) sediments were sampled from 62 sites in Kattegat and Skagerrak during autumn 1989 and spring 1990, tested for toxicity to Daphnia magna and Nitocra spinipes (Crustacea) and analyzed for heavy metals (Cd, Cr, Cu, Hg, N, Pb, Zn), nutrients (N and P) and organic carbon. Whole sediment toxicity to Nitocra spinipes, expressed as 96-h LC50, ranged from 1.8 to > > 32 percent sediment (wet wt), which is equivalent to 0.63 to 53 percent dry wt. Sediment total metal concentrations (mg kg-1 dry wt) ranged from 0.01 to 0.32 for Cd, 8 to 57 for Cr, 3 to 40 for Cu, 0.03 to 0.86 for Hg, 3 to 43 for Ni, 6 to 37 for Pb and 21 to 156 for Zn. Analyzed concentrations of heavy metals were tested for correlation with whole sediment toxicity normalized to dry wt, and significant correlations (Spearman p<0.05) were found for Cd, Cr, Cu, Hg, and Ni. However, the analyzed concentrations of these metals were below the spiked sediment toxicity of these heavy metals to N. spinipes, except for Cr and Zn for which analyzed maximum concentrations approached the 96-h spiked sediment LC50s. There was no improvement in correlation between the sum of heavy metal concentrations normalized to their spiked toxic concentrations (Toxic Unit approach) and the whole sediment toxicity. Calculated heavy-metal-derived toxicity based on toxic units and whole sediment toxicity ranged from 0.1 to 24 (mean value 2.3 and SD 4.2). Theoretically, a value of 1.0 would explain whole sediment toxicity from measured metal concentrations using this approach. Thus, in spite of the fact that the total concentrations of the heavy metals were sufficient to cause toxicity based on an additive model for most of these sediments, the observed toxicity of the sediments from Kattegat and Skagerrak could not exclusively be explained by the concentrations of heavy metals, except for Cr and Zn at their maximum concentrations. Therefore, other pollutants than these heavy metals must also be considered as possible sediment toxicants.  相似文献   

19.
To identify sources of heavy metal(loid) (HM) contamination in agricultural soils of Huzhou, surface soil samples were sampled from 89 different agricultural regions in 2012. Concentrations of heavy metal(loid)s, along with pH, total phosphorus (TP), total nitrogen (TN), and soil organic matter (SOM), were determined. Ecological risk was then assessed using a modified Hakanson ecological risk index, and the sources of contamination were determined using principal component analysis (PCA). Mean concentrations of heavy metal(loid)s were 10.26, 23.21, 83.75, 22.81, 0.25, 61.86, 33.03, and 0.15 mg kg?1 for As, Cu, Zn, Ni, Cd, Cr, Pb, and Hg, respectively. Cu, Zn, Ni, Cr, Cd, Hg, and Pb were correlated positively with TP and there were obvious positive correlations among Cu, Zn, Ni, Cr, and Cd. Risk index (RI) values varied from 39 to 1246 with a mean value of 137. Enrichment of Pb, Zn, Cu, and especially Cd can be attributed to excessive use of nitrogen and phosphorus fertilizers containing heavy metals, as well to surface irrigation and natural soil formation. While the ecological risk of most agricultural soils in Huzhou is low, it is recommended that the use of phosphate and nitrogen fertilizers be restricted and production technology be improved to reduce the heavy metal(loid) concentrations. Results suggest that the Chinese environmental quality standard for soil should be revised to better address heavy metal(loid) contamination.  相似文献   

20.
The contamination of coal-mine soil by heavy metals is a widespread problem. This study analyzes the heavy metals (Cu, Zn, Ni, Pb, Cr, Cd, and Hg) found in 33 surface soil samples from Xinzhuangzi, China restored coal-mining land used as cultivated land. The results show that the selected elements were cumulative, especially for Cd. An index of geo-accumulation indicates that the soil was practically uncontaminated by Cu, Zn, Ni, and Hg, uncontaminated to moderately contaminated by Pb and Cr, and moderately to heavily contaminated by Cd. Based on the U.S. Environmental Protection Agency's ecological soil screening levels (Eco-SSLs) for Cu, Zn, Ni, Pb, and Cd and the Dutch Target and Intervention Values for Cr and Hg, the plants and soil invertebrates were not likely greatly influenced by the selected metals. Although the Cd concentration was found to have no significant effect on plants and soil invertebrates, it is the only metal with a concentration significantly above that required by Chinese standards (HJ/T 332–2006) for edible agricultural products, indicating that Cd is the predominant factor that determines the use of the reclaimed coal-mining area for farmland. Thus, employing the reclaimed land as farmland may not be a good option.  相似文献   

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