Spatially distributed modelling of soil erosion and sediment yield at regional scales in Spain

Initiated by the need to quantify erosion rates and the impacts of global changes on erosion, several attempts have been made to apply erosion models at regional scales. However, these models have often been directed towards on-site soil erosion estimates, emphasising sheet and rill erosion processes, and disregarding gully erosion, channel erosion and sediment transport. These models are therefore of limited use for the assessment of sediment yield, off-site impacts of erosion, and for the development of environmental management to control these impacts at regional scale. This study analyses and compares three spatially distributed models for the prediction of soil erosion and/or sediment yield at regional scales: the WATEM-SEDEM model that is based on the empirical Revised Universal Soil Loss Equation (RUSLE) in combination with a sediment transport equation, the physics-based Pan European Soil Erosion Risk Assessment model (PESERA), and a newly developed Spatially Distributed Scoring model (SPADS). The three models were applied to 61 Spanish drainage basins and model predictions were evaluated against data on measured reservoir sedimentation rates. Global data sets on land use, climate, elevation and soil characteristics were used as model input for WATEM-SEDEM and SPADS, whereas published soil erosion estimates of PESERA at 1 km² resolution were used directly. SPADS and WATEM-SEDEM provided best results after separate calibration for basins with a Sediment Delivery Ratio (SDR) higher than 5% and those with an SDR lower than 5%. In this way, SPADS explained 67% of variation in sediment yield, while WATEM-SEDEM explained 48% of the variation. PESERA represents a promising alternative to the use of empirical models at the regional scale as it can be applied to very diverse environments with little calibration. However, PESERA provides soil erosion rates and not sediment yield estimates. For most basins PESERA soil erosion rates vary between fifty and close to zero percent of total sediment yield. Two major factors may explain this discrepancy between modelled soil erosion rates and measured sediment yield. First, it may be that PESERA underestimates soil erosion under Mediterranean conditions, although PESERA soil erosion rates are of the same order of magnitude as erosion rates measured in erosion plot studies. Second, gully-, river channel erosion and sediment transport processes may be much more important than sheet- and rill erosion for regional scale sediment yield in these environments. These issues therefore require further attention in future model development. Although spatially lumped models provide better predictions of sediment yield at the basin scale, and while validation of the predicted spatial patterns of sources and sinks of sediment requires further research, spatially distributed models are expected to be of value to support management decisions regarding the assessment of on-site and off-site impacts of erosion at the regional scale.     

水资源全成本定价问题

随着经济的发展,人们对水资源的需求越来越多,水资源的天然供给与人类需求的矛盾越来越突出。在我国一些地区水资源不足已成为制约经济发展的一个主要瓶颈。但是一方面是水资源的不足,一方面又存在水资源的大量浪费,因此,合理配置水资源的使用已成为当务之急。配置资源的方式有2种,一种是计划手段,一种是经济手段,水资源的合理配置应将2种方法结合使用。文章依据马克思的劳动价值论,对水资源全成本定价方法进行了探讨。     

城市地下空间开发利用容量评估的基础研究

该文探讨了城市地下空间开发利用容量评估的必要性,容量评估研究的基本内容及其关键技术。指出当前城市地下空间容量评估基础研究包括指标体系、评估模型、评估平台与评估示范四方面。城市地下空间容量评估研究不仅有利于城市地下空间的合理利用和有序开发,也有利于引导城市地面设施的合理布局与科学规划,对保障现代城市的可持续发展具有重要意义。     

西北干旱区水资源约束下城市化过程及生态效应研究的理论探讨

城市化是西北干旱区实现小康目标的必由之路,然而最大的自然障碍因素是水资源严重短缺。现实的城市化与水资源及生态环境保护之间存在着各种矛盾与胁迫。从城市化过程及其生态效应研究的重要性出发,透过对国内外研究进展的分析与评述,把水资源作为西北干旱区先决约束条件。提出了水资源约束下西北干旱区城市化过程及其生态效应的研究思路,包括选择水资源变化过程与城市化过程之间相互胁迫的驱动因子,揭示水资源变化对城市化过程的胁迫机制与规律;分析城市化过程引起的与水相关的生态效应;建立城市化过程及其生态效应预警指标体系。对不同强度水资源约束下城市化过程进行动态预警和情景分析;选择最节水的城市化发展模式和建设节水型城镇体系等。进而为加快西北干旱区城市化发展进程、改善干旱区生态环境、实现小康目标提供科学的决策依据。     

宁夏煤矿资源的可持续发展与采矿区生态保护

在对可持续发展的认识和意义进行简单论述的基础上,着重介绍了宁夏的煤炭资源概况、发展现状及采矿区的地质灾害,并提出了宁夏煤炭资源实现可持续发展、矿区地质灾害的防治和生态保护应坚持的原则与采取的办法及措施。     

矿物白度的影响因素与增白机理研究

白度是矿物的重要光学性质之一。为了深化矿物的光学性质及白色矿物功能材料的研究与应用,根据测试分析结果和叶大年的结构光性矿物学理论,系统研究了影响矿物白度的主要因素,以及矿物增白效果的差异性及其产生机理。研究结果表明:(1)晶体化学是决定不同种类透明矿物白度的最主要因素,但对于某种透明矿物来说,影响其白度的主要因素是矿物中的碳质有机质、含铁钛矿物杂质、杂质元素的价态与晶体化学环境、介质环境、矿物中的水和粒度大小等。(2)证明了透明矿物白度大小与折射率呈正相关。白度相同的不同矿物的增白效果存在很大差异性,其根本原因是由矿物折射率所决定的反射率存在很大差别。(3)提出了真白度和假白度的概念,即主要由自色产生的白度称为真白度,主要由假色产生的白度称为假白度;真白度高的矿物具有增白作用,而真白度低的矿物,即使粉末白度高,也没有增白作用。(4)在影响矿物白度的主要因素中,矿物中的碳质有机质、含铁钛矿物杂质、杂质元素的价态等杂质成分对矿物白度和增白效果起负面作用。(5)矿物中与晶体结构相关的水所产生的颜色属于自色,脱去结晶水、层间水和结构水都有利于提高矿物的真白度或增白效果,但脱去沸石水的效果正好相反;由矿物粒度大小变化产生的颜色属于假色;通过降低粉体粒度大小所提高的白度属于假白度,由此增加的白度没有增白作用。另外,矿物粉体与使用介质之间的折射率大小差别越大,增白效果越明显。     

某规划区地下水环境影响评价研究

为预测某规划区地下水环境影响,本次研究运用FEFLOW地下水数值模拟软件,在分析研究区水文地质、地下水渗流场等的基础上建立了溶质运移数值模型。模拟结果显示,模型能够真实反映研究区实际水文地质条件,预测两种工况下的氨氮、氰化物和COD进行溶质运移变化规律,可以作为地下水环境影响评价的依据。同时,污水处理厂在事故工况下对地下水环境影响较大,规划区应制定相应的地下水风险应急预案并采取严格的防渗措施,减小对地下水的影响。     

基于灰色关联度模型的区域滑坡敏感性评价

数理统计和机器学习模型如支持向量机(support vector machine,SVM)等,在区域滑坡敏感性评价中得到广泛的应用.但这些模型的建模过程往往较复杂,如在对机器学习进行训练和测试时难以选取合理的非滑坡栅格单元,而且有较多的模型参数需要确定.为提高滑坡敏感性评价建模的效率和精度,提出基于灰色关联度的敏感性评价模型.灰色关联度模型能有效计算各比较样本与参考样本之间的定量的关联度,具有建模过程简洁和评价精度高的优点,该模型目前在区域滑坡敏感性评价中的应用还没有引起研究人员的足够关注且有待进一步拓展.拟将灰色关联度模型用于浙江省飞云江流域南田—雅梅图幅(南田地区)的滑坡敏感性评价,并将得到的评价结果与SVM模型的敏感性评价结果作对比分析.结果显示,灰色关联度模型在高和极高敏感区的滑坡预测精度优于SVM模型,而在中等敏感区的滑坡预测精度略低于SVM模型;整体而言,灰色关联度模型对整个南田地区滑坡敏感性分布的预测精度略高于SVM模型.对两个模型建模过程的对比结果显示,灰色关联度模型建模较简单,具有比SVM模型更高的建模效率,为滑坡敏感性评价提供了一种新思路.     

FeSO4对铬污染土的稳定特性及风险评价试验研究

采用硫酸亚铁（FeSO4）对铬污染土进行稳定化处理。选用浸出试验、Cr(VI)残留值试验和形态提取试验,研究了粒径和有机质对铬污染土稳定特性的影响规律。试验结果表明,粒径和有机质对铬污染土稳定特性有较大影响。粒径的减小可显著降低稳定土中Cr(VI)和总Cr的浸出浓度及稳定土中Cr(VI)的含量;当污染土粒径小于2 mm时,Fe(II)/Cr(VI)摩尔比为3,稳定土中Cr(VI)和总Cr的浸出浓度分别为4.68、8.9 mg/L,均低于我国《危险废弃物鉴别标准 浸出毒性鉴别》（GB/T5085.3－2007）的限值。有机质添加量的增加可明显降低稳定土中Cr(VI)和总Cr的浸出浓度及Cr(VI)的含量。当Fe(II)/Cr(VI)摩尔比为3时,有机质的添加量为5%,稳定土中Cr(VI)的含量为28.3 mg/kg,低于我国《土壤环境质量标准》（GB15618－2008）中工业和商业用地限值（30 mg/kg）;当有机质的添加量为10%时,稳定土中Cr(VI)的含量为4.8 mg/kg,低于居住用地限值（5 mg/kg）。形态提取试验结果表明：粒径的减小可降低弱酸提取态的铬含量,增加可还原态的铬含量,而对可氧化态和残渣态的铬含量影响不大;有机质可促使弱酸提取态、可还原态的铬转化为可氧化态的铬,而残渣态的铬变化不大。稳定土中铬从活性态向较稳定态转化,是铬稳定土稳定特性和环境风险变化的根本原因。     

Heavy Oils and Oil Sands: Global Distribution and Resource Assessment

Gl obal recoverable resources of heavy oil and oil sands have been assessed by CNPC using a geology-based assessment method combined with the traditional volumetric method, spatial interpolation method, parametric-probability method etc. The most favourable areas for exploration have been selected in accordance with a comprehensive scoring system. The results show: (1) For geological resources, CNPC estimate 991.18 billion tonnes of heavy oil and 501.26 billion tonnes of oil sands globally, of which technically recoverable resources of heavy oil and oil sands comprise 126.74 billion tonnes and 64.13 billion tonnes respectively. More than 80% of the resources occur within Tertiary and Cretaceous reservoirs distributed across 69 heavy-oil basins and 32 oil-sands basins. 99% of recoverable resources of heavy oil and oil sands occur within foreland basins, passive continental-margin basins and cratonic basins. (2) Since residual hydrocarbon resources remain following large-scale hydrocarbon migration and destruction, heavy oil and oil sands are characterized most commonly by late hydrocarbon accumulation, the same basin types and source-reservoir conditions as for conventional hydrocarbon resources, shallow burial depth and stratabound reservoirs. (3) Three accumulation models are recognised, depending on basin type: degradation along slope; destruction by uplift; and migration along faults. (4) In addition to mature exploration regions such as Canada and Venezuela, the Volga-Ural Basin and the Pre-Caspian Basin are less well-explored and have good potential for oil-sand discoveries, and it is predicted that the Middle East will be an important region for heavy-oil development.