基于高分一号影像的江汉平原表层土壤湿度指数反演研究

土壤湿度指数遥感监测在农业生产中具有重要的作用。为探讨国产高分一号（GF 1）遥感数据在江汉平原农情参数快速获取中的适用性,以潜江市2017年3月8日的GF 1 WFV影像和106个采样点的土壤湿度实测数据为数据源,选择垂直干旱指数（PDI）、改进型垂直干旱指数（MPDI）和植被调整垂直干旱指数（VAPDI）,对土壤湿度指数反演的效果进行比较和验证。研究结果表明：PDI、MPDI、VAPDI与土壤湿度实测含水量的决定系数分别达到0.649、0.802和0.821,实测土壤含水量验证精度评价也表明各模型均能满足反演的精度要求,说明基于GF 1 WFV影像开展江汉平原的大尺度土壤湿度反演是可行的;在植被覆盖中等区域,MPDI和VAPDI能够在一定程度上克服混合像元对土壤湿度光谱信息的影响,反演的精度要比PDI高,但在高植被覆盖度区,采用垂直植被指数（PVI）修正的VAPDI不易出现植被覆盖饱和现象,具有更高的反演精度;基于3种指数模型反演的土壤湿度指数空间异质性基本一致,但MPDI、VAPDI对土壤湿度变化更为敏感,能反映出不同植被覆盖类型下土壤湿度的实际水平。研究结果可为江汉平原大范围和动态监测表层土壤湿度指数提供理论基础和实践参考。 关键词： 高分一号;土壤湿度指数;PDI;MPDI;VAPDI;江汉平原     

Modelling organic matter dynamics in New Zealand soils.

To ensure the sustainability of land systems in terms of nutrient cycling and maintenance of soil physical conditions, there is a need to understand soil organic matter (SOM) and its dynamics. It has been suggested that soil-carbon (C) models developed internationally do not perform well under New Zealand's unique climatic and soil mineralogical conditions. To test this hypothesis, we conducted 14C-labelled ryegrass decomposition studies and assessed the influence of abiotic factors on decomposition rates. These factors were characterized by estimating system mean residence times (MRTs) from estimates of first-order rate coefficients in a simple, three-compartment model. A range of MRTs obtained for decomposition was related to climatic conditions and soil properties. We summarise this work and extend this study to apply the Rothamsted soil-C turnover model, a five-compartment model, to our data with the view of testing both the model projections and the decomposability factors assumed in the model.     

三峡库区不同水保措施下紫色土水分特征曲线特征及模型拟合

土壤水分特征曲线是反映土壤持水性、供水性及水分有效性等基本特性的重要曲线,是定量研究土壤水滞留与运移十分重要的土壤水动力学参数之一。通过分析比较等高绿篱农业系统和石坎梯田农业系统的紫色土水分特征曲线,探讨不同水保措施下紫色土水分特征曲线特征,将实测数据对国内外常见的几种土壤水分特征曲线模型分别进行拟合,并优选一种适合三峡库区紫色土的水分特征曲线模型。结果表明：不同处理紫色土水分特征曲线存在较大差异。同一土壤水吸力水平下,新银合欢处理土壤持水量最高,其次为石坎梯田处理,自然坡面处理土壤持水量最小。随土壤水吸力增大,各处理间差异越明显。Gardner模型和Van Genuchten模型均可用于描述三峡库区紫色土水分特征曲线,根据不同的需要选取不同的模型,Gardner模型适合简单快捷的田间土壤水分管理,Van Genuchten模型适合进一步土壤水力传导参数的推求应用.     

鄱阳湖湿地土壤-植物-地下水稳定氧同位素组成分析

近年来,鄱阳湖水位持续走低,极端干旱事件频繁发生,湿地生态系统结构与功能遭受破坏。为此,于2014年鄱阳湖湿地保护区两个断面分层采集0~100 cm土壤,并采集优势种植物和河湖水以及地下水数据,运用稳定同位素技术,分析了土壤-植物-河湖水-地下水稳定同位素变化特征,并探寻它们之间的补给关系。结果表明,两断面土壤水氧同位素变化范围分别为–10.48‰~–5.23‰和–12.39‰~–6.55‰,算术平均值分别为–8.36‰和–8.63‰。断面一表层(0~30 cm)土壤水氧重同位素较富集,且随深度增加而减小;断面二表层(0~40 cm)土壤水中氧同位素组成基本无变化。断面一的地下水主要是受降水补给,断面二可能是受降水和河湖水共同补给。鄱阳湖湿地两断面优势种植物虉草叶片水的氧同位素值最大,为–0.9‰,其次是灰化苔草和芦苇,分别为–4.23‰和–5.25‰。     

Soil-plant-animal transfer models to improve soil protection guidelines: a case study from Portugal

Food chain models are essential tools to assess risks of soil contamination in view of product quality including fodder crops and animal products. Here we link soil to plant transfer (SPT) models for potentially toxic elements (PTEs) including As, Ba, Cd, Co, Cu, Hg, Ni, Pb, Sb, U and Zn with models describing accumulation in animal organs. Current EU standards for food products and acceptable daily intake levels (ADI) for humans were used as critical limits. The combined model is used to assess the impact of soil contamination on animal health, product quality and human health using data from 100 arable fields. Results indicate that 42 existing arable fields near industrial and mining sites are unsuitable for animal grazing in view of food safety due to elevated intake of Cd, Cu, Hg and Pb by cows and sheep. At 10 sites daily intake levels of As by cows exceeded threshold concentrations regarding the quality of animal products.The food chain model also was used inversely to derive soil threshold concentrations in view of EU fodder standards. Calculated threshold levels in soil for As, Cd, Cu, Pb, Hg and Zn appear to be in line with those proposed or used in other EU countries. As such the approach applied here can form a conceptual basis for a more harmonized risk assessment strategy regarding the protection of animal and human health.     

Upward movement of tritium from contaminated groundwaters: a numerical analysis

This paper describes a research-oriented modelling exercise that addresses the problem of assessing the movement of tritium from a contaminated perched aquifer to the land surface. Participants were provided with information on water table depth, soil characteristics, hourly meteorological and evapotranspiration data. They were asked to predict the upward migration of tritium through the unsaturated soil into the atmosphere. Eight different numerical models were used to calculate the movement of tritium. The modelling results agree within a factor of two, if very small time and space increments are used. The agreement is not so good when the near-surface soil becomes dry. The modelling of the alternate upward and downward transport of tritium close to the ground surface generally requires rather complex models and detailed input because tritium concentration varies sharply over short distances and is very sensitive to many interactive factors including rainfall amount, evapotranspiration rate, rooting depth and water table position.     

Constructing a spatially-resolved database for modelling soil organic carbon stocks of croplands in European Russia

This paper describes the conception and construction of a geographic information system (GIS) for use in modelling changes in soil organic carbon stocks in European Russia. A GIS of croplands for European Russia was constructed to allow the RothC and CANDY models, and a statistical model of humus balance, to estimate how soil carbon stocks change in time. The soil map of Russia, the database of soil properties, the map of administrative division, the land use map, the climatic grid, the map of natural and agricultural zoning and an economic database serve as a basis for this system. A map and database of homogeneous units, for maximum accuracy and minimum uncertainty, was created. Homogeneous characteristics are the parameters required for modelling. In the course of this work, the sources of errors in the database and the possible ways of improving calculation accuracy were determined and are described. The methods used and decisions taken in constructing this database are applicable to other studies in which GIS databases need to be constructing from disparate sources.     

Changes in mineral soil organic carbon stocks in the croplands of European Russia and the Ukraine, 1990–2070; comparison of three models and implications for climate mitigation

Three soil carbon models (RothC, CANDY and the Model of Humus Balance) were used to estimate the impacts of climate change on agricultural mineral soil carbon stocks in European Russia and the Ukraine using detailed spatial data on land-use, future land-use, cropping patterns, agricultural management, climate and soil type. Scenarios of climate were derived from the Hadley Centre climate Version 3 (HadCM3) model; future yields were determined using the Soil–Climate–Yield model, and land use was determined from regional agricultural and economic data and a model of agricultural economics. The models suggest that optimal management, which entails the replacement of row crops with other crops, and the use of extra years of grass in the rotation could reduce Soil organic carbon (SOC) loss in the croplands of European Russia and the Ukraine by 30–44% compared to the business-as-usual management. The environmentally sustainable management scenario (SUS), though applied for a limited area within the total region, suggests that much of this optimisation could be realised without damaging profitability for farmers.     

An empirical model for primary sedimentation of sewage

Theoretical mathematical models of primary sedimentation and column settling tests have failed until now to predict the behaviour of sedimentation tanks under actual operating conditions due to the difficulties in simulating the effect of the density currents and the complex phenomenon of flocculation. Therefore, empirical models can be helpful in the design of sedimentation tanks. Using performance data from three different pilot-scale sedimentation tanks, empirical mathematical models were developed in this paper relating suspended solids (SS) removal efficiency to surface overflow rate, influent SS concentration, and sewage temperature. The model coefficients were derived from the combined analysis of three well correlated sets of data, thus giving a good indication for their possible general applicability. The analysis of experimental data also gave a relationship between SS and chemical oxygen demand (COD) removal efficiencies.     

Soil radium, soil gas radon and indoor radon empirical relationships to assist in post-closure impact assessment related to near-surface radioactive waste disposal

Least squares (LS), Theil’s (TS) and weighted total least squares (WTLS) regression analysis methods are used to develop empirical relationships between radium in the ground, radon in soil and radon in dwellings to assist in the post-closure assessment of indoor radon related to near-surface radioactive waste disposal at the Low Level Waste Repository in England. The data sets used are (i) estimated ²²⁶Ra in the <2 mm fraction of topsoils (eRa226) derived from equivalent uranium (eU) from airborne gamma spectrometry data, (ii) eRa226 derived from measurements of uranium in soil geochemical samples, (iii) soil gas radon and (iv) indoor radon data. For models comparing indoor radon and (i) eRa226 derived from airborne eU data and (ii) soil gas radon data, some of the geological groupings have significant slopes. For these groupings there is reasonable agreement in slope and intercept between the three regression analysis methods (LS, TS and WTLS). Relationships between radon in dwellings and radium in the ground or radon in soil differ depending on the characteristics of the underlying geological units, with more permeable units having steeper slopes and higher indoor radon concentrations for a given radium or soil gas radon concentration in the ground. The regression models comparing indoor radon with soil gas radon have intercepts close to 5 Bq m⁻³ whilst the intercepts for those comparing indoor radon with eRa226 from airborne eU vary from about 20 Bq m⁻³ for a moderately permeable geological unit to about 40 Bq m⁻³ for highly permeable limestone, implying unrealistically high contributions to indoor radon from sources other than the ground. An intercept value of 5 Bq m⁻³ is assumed as an appropriate mean value for the UK for sources of indoor radon other than radon from the ground, based on examination of UK data. Comparison with published data used to derive an average indoor radon: soil ²²⁶Ra ratio shows that whereas the published data are generally clustered with no obvious correlation, the data from this study have substantially different relationships depending largely on the permeability of the underlying geology. Models for the relatively impermeable geological units plot parallel to the average indoor radon: soil ²²⁶Ra model but with lower indoor radon: soil ²²⁶Ra ratios, whilst the models for the permeable geological units plot parallel to the average indoor radon: soil ²²⁶Ra model but with higher than average indoor radon: soil ²²⁶Ra ratios.     

Are the parasiticidal avermectins resistant to dissipation in the environment? The case of eprinomectin

Eprinomectin (EPM) is a veterinary drug currently licensed in many countries for the treatment of endo- and ecto-parasites in cattle. Despite the notable evidence for its high toxicity to the terrestrial and aquatic environment ecosystems, its environmental behavior and fate are currently unknown. In the present research, the dissipation of EPM was studied in three soils and in cattle manure by using the OECD 307 guideline and the recently developed European Medicines Agency (EMA/CVMP/ERA/430327) guideline, respectively. The procedure presented by the FOrum for Co-ordination of pesticide models and their USe (FOCUS) was adopted for estimating the EPM degradation kinetics in soil and cattle manure. The EPM dissipation in soil was best described by the SFO (Simple First Order) and the HS (Hockey Stick) models, under aerobic and anaerobic conditions, respectively. The EPM dissipation in cattle manure was best described by the FOMC (First Order Multi Compartment) model. The Dissipation Time for the 50% of the initial EPM mass (DT₅₀) range was 38–53 days under aerobic and 691–1491 days under anaerobic conditions. In addition, the DT₅₀ for EPM in cattle manure was 333 days. Therefore, EPM could be characterized as moderately to highly persistent to dissipation in soil, which depends on soil type, its oxygen content (aerobic or anaerobic conditions in soil) and the microbial activity. Moreover, the EPM resists dissipation in cattle manure, resulting to a high load in soil after manure application in agricultural land (or direct defecation in grassland). Consequently, the high possibility for EPM accumulation in soil and cattle manure should be considered when assessing the environmental risk of the drug.     

基于SCS-CN与MUSLE模型的三峡库区小流域侵蚀产沙模拟

传统土壤侵蚀模型模拟次降雨产沙时难以确定泥沙输移系数,分布式的侵蚀产沙模型对数据量需求量大。选择三峡库区宋家沟小流域为研究对象,基于2013年的降雨、植被盖度、地形、土壤等数据,利用SCS-CN和MUSLE模型耦合模拟流域的场降雨的产沙量。结果表明:该模型的模拟值的精确度在可接受范围内,整个流域2013年的泥沙流失量是3 923t,全年中5场较大的降雨贡献了泥沙流失量的80%以上;不同土地利用类型的泥沙输出量差异很大,耕地(面积44.63%)贡献了81.54%的泥沙,有林地(面积47.61%)贡献了17.63%的泥沙;坡度在0~8度的区域贡献的产沙量仅为1.75%,大于25度的区域占流域面积的比例是39.21%,产沙量占55.77%;泥沙模拟值相比实测值偏大,其原因可能是流域中分布的池塘改变了径流过程,发挥拦截泥沙功能。     

Climate change, drought risk and land capability for agriculture: implications for land use in Scotland

Land capability classification systems define and communicate biophysical limitations on land use, including climate, soils and topography. They can therefore provide an accessible format for both scientists and decision-makers to share knowledge on climate change impacts and adaptation. Underlying such classifications are complex interactions that require dynamic spatial analysis, particularly between soil and climate. These relationships are investigated using a case study on drought risk for agriculture in Scotland, which is currently considered less significant than wetness-related issues. The impact of drought risk is assessed using an established empirical system for land capability linking indicator crops with water availability. This procedure is facilitated by spatial interpolation of climate and soil profile data to provide soil moisture deficits and plant available water on a regular 1-km grid. To evaluate potential impacts of future climate change, land capability classes are estimated using both large-scale ensemble (multi-simulation) data from the HadRM3 regional climate model and local-scale weather generator data (UKCP09) derived from multiple climate models. Results for the case study suggest that drought risk is likely to have a much more significant influence on land use in the future. This could potentially act to restrict the range of crops grown and hence reduce land capability in some areas unless strategic-level adaptation measures are developed that also integrate land use systems and water resources with the wider environment.     

中亚热带红壤区不同土地利用土壤田间持水量估测

田间持水量是衡量土壤保水性的重要指标,也是进行农田灌溉、作物水管理和水文模型的重要参数,但其测定繁琐而耗时,迫切需要一种简捷精确的估测方法。采集了50个来自稻田和旱地的1 m深原状土壤剖面样,然后基于土壤基本理化性质,利用多元逐步回归方法对土壤田间持水量进行模型预测。结果显示:(1)对于稻田土壤,田间持水量主要受容重和有机碳影响,而对于旱地则主要受土壤质地影响;(2)构建的田间持水量传递函数,对于稻田土壤预测精确度较高,调整的确定系数达到0.79,对于旱地则相对较弱。研究表明土地利用方式对田间持水量精确估测影响较大,利用土壤传递函数法对田间持水量的快速获取有一定参考价值。     

Dynamics of leaf litter and soil respiration in a complex multistrata agroforestry system,Pernambuco, Brazil

High litter inputs in agroforestry systems contribute to soil microbial activity, soil fertility and productivity. Considering that the cycling of organic matter is essential to the maintenance of physical–chemical and microbiological properties of the soil, the aims of this work were to estimate the production, accumulation and decomposition of litter, and assess soil microbial respiration in a complex multistrata agroforestry system located in the north-east of Brazil. This agroforestry system has three strata formed by forest and fruit trees and species of multiple uses. During 3 years (2011–2013), leaf litter was sampled monthly to account for litterfall and quarterly to account for litter accumulation. The rates of litter decomposition were estimated using the ratio produced-to-accumulated litter, and the correlation between litter fall and rainfall was calculated. Precipitation data were provided by the water and climate agency of Pernambuco (APAC). Soil samples (0–15 cm) were also taken quarterly, simultaneously with the litter accumulation samples, and soil microbial respiration was assessed using the capture, by a KOH solution, of the evolved CO₂. The annual production of leaf litter was stable in the 3 years of study in this agroforestry system, and the monthly input of litter to the soil was influenced by rainfall, being higher in the dry seasons. The accumulated litter on the ground was constant, as was microbial activity (respiration) through time. The estimated litter decomposition rates were 1.49 (first year), 1.33 (second year) and 1.42 (third year), being considered rapid rates of decomposition. This guarantees (to the farmer) that this system is capable of maintaining soil fertility and eliminates the need for chemical fertilizers.     

Modelling radioiodine transport across a capillary fringe

Due to its long radioactive half-life, iodine-129 is considered to be an important radionuclide in the context of underground radioactive waste disposal safety assessment. Iodine speciates as iodide (I-) in reducing conditions and iodate (IO3-) in oxidizing conditions. As iodate is more reactive, it is much less mobile than iodide. Consequently, in considering vertically upward transport within a soil profile, iodine will tend to accumulate at the top of the capillary fringe. In this paper, a model of iodine transport across a capillary fringe is developed by coupling equations for variably saturated flow, oxygen dynamics and rate-limited sorption. Model parameters are obtained by consideration of literature values, calibration on soil column data and other supporting laboratory experiments. The results demonstrate the importance of rate kinetics on the migration and bioavailability of radioiodine in the near-surface environment.     

Revision and meta-analysis of selected biosphere parameter values for chlorine, iodine, neptunium, radium, radon and uranium

There is a continual supply of new experimental data that are relevant to the assessment of the potential impacts of nuclear fuel waste disposal. In the biosphere, the traditional assessment models are data intensive, and values are needed for several thousand parameters. This is augmented further when measures of central tendency, statistical dispersion, correlations and truncations are required for each parameter to allow probabilistic risk assessment. Recent reviews proposed values for 10-15 key element-specific parameters relevant to (36)Cl, (129)I, (222)Rn, (226)Ra, (237)Np and (238)U, and some highlights from this data update are summarized here. Several parameters for Np are revised downward by more than 10-fold, as is the fish/water concentration ratio for U. Soil solid/liquid partition coefficients, Kd, are revised downward by 10-770-fold for Ra. Specific parameters are discussed in detail, including degassing of I from soil; sorption of Cl in soil; categorization of plant/soil concentration ratios for U, Ra and Np; Rn transfer from soil to indoor air; Rn degassing from surface water; and the Ca dependence of Ra transfers.     

Validation of I ecological transfer models and thyroid dose assessments using Chernobyl fallout data from the Plavsk district, Russia

Within the project “Environmental Modelling for Radiation Safety” (EMRAS) organized by the IAEA in 2003 experimental data of ¹³¹I measurements following the Chernobyl accident in the Plavsk district of Tula region, Russia were used to validate the calculations of some radioecological transfer models. Nine models participated in the inter-comparison. Levels of ¹³⁷Cs soil contamination in all the settlements and ¹³¹I/¹³⁷Cs isotopic ratios in the depositions in some locations were used as the main input information. 370 measurements of ¹³¹I content in thyroid of townspeople and villagers, and 90 measurements of ¹³¹I concentration in milk were used for validation of the model predictions.A remarkable improvement in models performance comparing with previous inter-comparison exercise was demonstrated. Predictions of the various models were within a factor of three relative to the observations, discrepancies between the estimates of average doses to thyroid produced by most participant not exceeded a factor of ten.