Stochastic Transfer Function Model and Neural Networks to Estimate Soil Moisture1

Abstract: A practical methodology is proposed to estimate the three‐dimensional variability of soil moisture based on a stochastic transfer function model, which is an approximation of the Richard’s equation. Satellite, radar and in situ observations are the major sources of information to develop a model that represents the dynamic water content in the soil. The soil‐moisture observations were collected from 17 stations located in Puerto Rico (PR), and a sequential quadratic programming algorithm was used to estimate the parameters of the transfer function (TF) at each station. Soil texture information, terrain elevation, vegetation index, surface temperature, and accumulated rainfall for every grid cell were input into a self‐organized artificial neural network to identify similarities on terrain spatial variability and to determine the TF that best resembles the properties of a particular grid point. Soil moisture observed at 20 cm depth, soil texture, and cumulative rainfall were also used to train a feedforward artificial neural network to estimate soil moisture at 5, 10, 50, and 100 cm depth. A validation procedure was implemented to measure the horizontal and vertical estimation accuracy of soil moisture. Validation results from spatial and temporal variation of volumetric water content (vwc) showed that the proposed algorithm estimated soil moisture with a root mean squared error (RMSE) of 2.31% vwc, and the vertical profile shows a RMSE of 2.50% vwc. The algorithm estimates soil moisture in an hourly basis at 1 km spatial resolution, and up to 1 m depth, and was successfully applied under PR climate conditions.     

铬渣中铬的浸出行为

采用BCR法连续浸提研究铬渣中铬的存在形态,结果表明:铬渣中总铬和六价铬主要以残渣态和可氧化态形式存在;通过铬渣动态连续浸提实验与静态浸提实验研究了浸提剂和活性炭对铬渣中铬浸出行为的影响,研究发现p H值为3.1的醋酸浸提剂浸出液中铬浓度最低,且添加活性炭后的静态浸出液中铬的浓度有不同程度降低。     

广州市“南肺”果园土壤H g和A s的形态分析

采用Tessier连续提取法、BCR连续提取法和Leleyter连续提取法,研究广州"南肺"果园土壤Hg和As的形态分布和生物可给性。结果表明,果园土壤Hg和As形态分布都以残渣态为主;3种方法的土壤生物可给性分析均表明,Hg和As生物可利用态的含量较少;生物不可利用态是主要形态,其次是潜在可利用态。     

序批式生物反应器填埋场脱氮微生物多样性分析

为探究序批式生物反应器填埋场脱氮过程中的微生物作用机制,本研究采用建立脱氮功能基因(amoA、nosZ)克隆文库及PCR-RFLP技术对序批式生物反应器填埋场垃圾稳定化后期的主要脱氮功能微生物多样性进行分析.结果表明,矿化垃圾反应器中检测到的氨氧化细菌存在高度多样性,大部分为未知类群,且均为不可培养菌或未经分离获得的细菌,经系统发育树分析系统内氨氧化细菌以β-变形菌门中的亚硝化单胞菌属(Nitrosomonas)为主;新鲜垃圾反应器中反硝化细菌种群丰富,主要有β-变形菌纲中的陶厄氏菌属(Thauera)和硫杆菌属(Thiobacillus).Thauera属在好氧条件下具有反硝化特性,Thiobacillus属中的脱氮硫杆菌(Thiobacillus denitrificans)是一种硫自养反硝化菌,可见新鲜垃圾单元稳定化后期以好氧反硝化和自养反硝化的脱氮途径为主.此外文库中检测到的一部分反硝化细菌可能归属于α-变形菌纲的慢生根瘤菌科(Bradyrhizobiaceae).     

黄河源区鄂陵湖中多环芳烃的百年沉积记录

为研究黄河源区多环芳烃（PAHs）的污染历史,于2016年7月在鄂陵湖中采集了沉积物柱芯,采用²¹⁰Pb定年,利用气相色谱串联三重四级杆质谱仪（GC-MS/MS）分析了16种PAHs,运用有序聚类分析对PAHs的垂向分布进行分带,并采取主成分分析及多元线性回归定量分析了PAHs的来源.结果表明,鄂陵湖沉积柱的沉积速率为0.176cm/a,慢于青藏高原多数湖泊.总PAHs的含量为11.3~54.7ng/g,平均值为29.2ng/g,与其他高原和偏远地区湖泊沉积物相比,处于较低水平,可被视为PAHs的全球沉积物背景值.PAHs的垂向变化分为1948年以前、1948~1976和1976~2016年3个时间段,5~6环PAHs在1948~2016年间呈上升趋势,与青海省人口及大型牲畜数量显著相关,反映了鄂陵湖地区近70a来的人类活动以农牧业为主.PAHs来源分为本地源（23%）以及长距离迁移与本地混合源（77%）.本地源的垂向变化与5~6环PAHs一致,代表了青藏高原地区以牛粪饼为主要燃料的生物质燃烧源.     

简化连续提取法评价污染土壤中Zn、Cd的植物有效性

以0.01 mol·L^-1CaCl₂和0.005 mol·L^-1 DTPA作为提取剂,用简化的3步连续提取法对贵州省赫章县土法炼锌污染土壤中Zn、Cd的形态进行了分析.结果显示,污染土壤中Zn、Cd主要以残渣态的形式存在,CaCl₂提取态和DTPA提取态Zn、Cd平均仅占全量的0.63%、3.91%和10.94%、10.13%.土壤中不同形态Zn、Cd含量与玉米中Zn、Cd含量的相关分析结果显示,CaCl₂提取态金属与玉米中金属含量没有显著的相关关系,而DTPA提取态、残渣态以及总量Zn、Cd与玉米根、茎叶中Zn、Cd含量显著正相关.这些结果表明CaCl₂提取态Zn、Cd对土壤中该元素的植物有效态可能不具重要贡献,而DTPA提取态金属和金属总量在一定程度上能作为评价土壤中元素植物有效性的标准.     

Electro-remediation of tailings from a multi-metal sulphide mine: comparing removal efficiencies of Pb,Zn, Cu and Cd

Sulphidic mine tailings characterised by high concentrations of heavy metals (Pb 3532?±?97?mg/kg, Zn 8450?±?154?mg/kg, Cu 239?±?18?mg/kg and Cd 14.1?±?0.3?mg/kg) and abundant carbonate (17%) were subjected to eight lab-scale electrodialytic remediation (EDR) experiments to investigate the influence of current density, treatment time and particle size on removal efficiency. Pb and Cu removal improved when increasing current density, while Zn and Cd removal did not. In contrast Zn and Cd removal improved by grinding the tailings, while Pb and Cu removal did not. At the highest current density (1.2?mA/cm²), 94%, 75%, 71% and 67% removal of Pb, Zn, Cu and Cd could be achieved, respectively, on grinded tailings in 28 days. Sequential chemical extraction made before and after EDR revealed larger oxidisable fractions of Zn, Cu and Cd, representing large fractions of sulphides, which was likely to be the main barrier to be removed as efficiently as Pb. This was in accordance with acid/base extraction tests in which Pb showed high solubility at both high and low pH (up to 65% and 86% of extraction, respectively), while considerable extraction of Zn (55%) happened only at low pH; and very limited extraction (<20%) of Cu and Cd occurred at any pH.     

Heavy Metals in the Bed and Suspended Sediments of Anyang River, Korea: Implications for Water Quality

The objective of this study is to compare Anyang River bed sediments with water chemical composition and to assess the anthropogenic chemical inputs into the river system. Eight sampling locations were chosen along the river channel. Bed and suspended river sediments and water samples were collected, and analyzed for their chemical and physical composition. Data revealed that trace element concentrations in the river water were generally below world average, except for As, Mn, Ni and Cr. Among the three phases: water, bed and suspended sediment, more than 99% of the trace elements was associated with the bed sediment. Concentrations of trace elements in the sediment were a function a particle size distribution and organic content. The calculated degrees of enrichment based on the least influenced sample (ASD 1) indicated the river sediments were enriched with respect to background. The enrichment factors for Pb, Zn and As were relatively lower than for Cr, Co, Ni and Zn. The difference in the enrichment seems to reflect the human activities influence in the basin, and specially for Cd. Speciation of the elements in the five different chemical forms in the sediment by sequential extraction indicated that the reducible fraction was predominant for Fe, Zinc and Cu showed an irregular variation among the different fractions; whereas, Cd and Pb were more regular. Zinc and Cu highly existed mostly in exchangeable forms. Acid soluble and reducible forms were also important for most metals. The speciation implies that the metals associated with the sediment are subject to release into water bodies as goechemical variables (pH and Eh) change. Currently, the introduced metals are deposited near the source area and are mostly associated with the sediment, implying that the river bed sediment acts mainly as a sink, rather than a pool. The accumulated and enriched toxic trace elements can pose a potential pollution of river water.     

Bioaccessibility of arsenic in soils developed over Jurassic ironstones in eastern England

Jurassic ironstones outcropping over parts of eastern England give rise to soils with arsenic concentrations in excess of the UK soil guideline value of 20 mg kg⁻¹ for residential areas. Total arsenic concentrations were determined for 73 ironstone derived soils and bioaccessible arsenic determined using an in vitro physiologically based extraction test. The bioaccessible arsenic concentration for these soils was found to be well below the soil guideline value with a mean concentration of 4 mg kg⁻¹ and a range of 2–17 mg kg⁻¹. The bioaccessible fraction ranges from 1.2 to 33%. Data from a sequential extraction test based on the use of aqua regia as the main extractant is presented for a subset of 20 of the soils. Chemometric data reduction is used to demonstrate that the bioaccessible arsenic is mainly contained within calcium iron carbonate (sideritic) assemblages and only partially iron aluminosilicates, probably berthierine, and iron oxyhydroxide phases, probably goethite. It is suggested that the bulk of the non-bioaccessible arsenic is bound up with less reactive iron oxide phases.     

Concentrations and chemical forms of potentially toxic metals in road-deposited sediments from different zones of Hangzhou, China

The 25 road-deposited sediments were collected from five different land-use zones (industrial, residential, commercial, park, and countryside) in Hangzhou, China. The concentrations of metals (Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, and Zn) in these samples were determined using the ICP-AES after digestion with the mixture of HNO3-HF-HCl (aqua regia), and chemically fractionated using the modified BCR (the European Community Bureau of Reference) sequential extraction procedure. The highest metal concentration level was detected in the sample from industrial zone and commercial zone having heavy traffic. While the lowest metal level was noted in the street dust sample from residential zone, park, and countryside zone. The mobility sequence based on the sum of the BCR sequential extraction stages was: Zn (80.28%), Pb (78.68%), Cd (77.66%) ＞ Cu (73.34%) ＞ Mn (67.92%) ＞ Co (41.66%) ＞ Ni (30.36%) ＞ Cr (21.56%), Fe (20.86%). Correlation analysis and principal component analysis were applied to the data matrix to evaluate the analytical results and to identify the possible pollution sources of metals. Factor analysis showed that these areas were mainly contaminated by three sources, namely lithology, traffic, and industry.