An evaluation of the pesera soil erosion model and its application to a case study in Zakynthos, Greece

Abstract. The Pan‐European Soil Erosion Risk Assessment (pesera ) model was evaluated using existing soil erosion data collected under various types of climate, vegetation, landscape and soil conditions. The data used represent a variety of typical Mediterranean land uses such as winter wheat, vines, olives and bare, stony land prevailing in hilly areas. Using this data, the model was calibrated for sediment transport by overland flow and results compared to measured soil erosion values from runoff plots and a watershed on a monthly basis. The performance of the model was assessed statistically, showing that it can be satisfactorily used for predicting soil erosion rates under the conditions included in the study. The overall model estimate including all the available experimental data was 0.69 t ha^?1 yr^?1 with a maximum error of 1.49 t ha^?1 yr^?1. After validation, the model was applied to a small watershed (60 ha) of great ecological importance for the sea turtle Caretta caretta. For this purpose, soil and vegetation maps were compiled from all the necessary data for applying the model. The model was run for three years using daily data from an existing nearby meteorological station. The predicted and measured soil erosion rates for a 7‐month period were 0.31 t and 0.18 t, respectively. Application of the model to each mapping unit showed the over‐riding importance of land use for sediment generation under the given climatic conditions. Bare land, occupying 5.5% of the watershed area, generated up to 69% of the total sediments estimated for the watershed. It is concluded that the pesera model can be used as a regional diagnostic tool under a range of soil, topographic and climatic conditions for identifying the best land use type and vegetation cover to protect hilly areas from soil erosion. The calculated overall root mean square error for the model is 0.06 t ha^?1 yr^?1, compared to a soil erosion rate of 0.04 t ha^?1 yr^?1, which can be tolerated for protecting the area for the sea turtle.     

大尺度水文条件变化对建筑工程环

研究了大尺度水文条件变化对建筑环境的影响，分析了大尺度水文条件变化对建筑物维护、建筑设计、建筑施工、建筑材料等建筑环境的影响。依据不同的影响程度，提出了建筑物设计、运行维护与管理的对策与措施。     

Hydraulic-hydrological simulations of canal-command for irrigation water management

A modelling system that combines the hydraulic simulations of the canal and hydrological simulations of the irrigated command is introduced. It uses MIKE 11 and MIKE SHE, two well-established modelling systems, for the hydraulic and hydrological simulations respectively. In addition, it also has an irrigation scheduling module and a crop growth module. The modelling system is applied to the Mahanadi Reservoir Irrigation Scheme, a large irrigation project in Central India. The results show that presently a significant amount of water is wasted in the command during the monsoon season. It is demonstrated that the minimization of this wastage could lead to a substantial crop production in the subsequent dry season. Furthermore, the simulations illustrate the versatility of the modelling system for planning and analysing the various aspects of an irrigation project.     

沿渡河流域分布式水文模型的构建

按照综合分布式概念性水文模型和分布式水文物理模型长处的建模思路，应用改进的格林-安普特下渗理论和地貌水文学的水滴运动理论，建立了一个具有物理基础的松散结构分布式流域水文模型。模型的产流方法融合了邓恩产流理论和霍顿超渗产流理论，考虑土壤水分剖面、土壤各向异性和地形坡度等对流域产流的影响；模型的汇流方法利用地貌水文学理论，寻求水文过程与流域地形地貌的相互作用及定量关系，以确定模型参数，其优势在于可以考虑净雨空间分布不均和流速空间分不均对流域汇流的影响问题。以湿润地区典型流域沿渡河为对象进行水文模拟应用研究，结果良好,说明模型较为可靠。     

The Validation of Pesticide Leaching Models

The validation of pesticide leaching models presents particular problems where the number of model predictions is far in excess of the observed data. Normally, however, there are more frequent field observations for other parameters (notably the site hydrology) than for pesticide concentrations in either water or soil. A five-stage validation procedure which takes advantage of the most frequently available observations and which tests each of the components of the model in a cumulative way, is thus advocated: Stage 1: Parameterisation of the model using only independently measured parameters. Stage 2: Hydrological validation: the validation of the predictions of water movement and water content of the soil. Stage 3: Solute movement validation: where field data are available for solutes other than pesticide, the model should first be validated for them, especially if they are more abundant than the pesticide observations. Conserved solutes such as chloride or bromide are preferred, although nitrate may be used for short periods. Stage 4: Pesticide fate in the soil: models should use parameters of pesticide fate derived from independent studies. Stage 5: Pesticide leaching: only in the last stage are the relatively small number of pesticide observations compared with the model predictions with respect to patterns and orders of magnitude of occurrence. With this scheme, the results of each stage are carried forward to the next, and confidence in the model is built with each stage. This is illustrated using the CRACK-P model and hydrological, nitrate and pesticide data from the Brimstone Farm Experiment Oxfordshire, UK.     

基于水文分析的动物通道选址——以龙栖山自然保护区为例

自然保护区内道路等基础设施的建设不可避免地会对动物生境产生影响,造成动物死亡率提升。动物通道的设置是改善由道路建设引起的生境破碎化的有效途径,而正确选择动物通道的位置才能使其真正发挥作用。以福建省将乐县龙栖山国家级自然保护区为对象,选取对林区生境影响较大的6种环境因子:树种类型、树种平均年龄、胸径、坡度、海拔以及郁闭度,使用层次分析法(AHP)进行权重分析,相对权重依次为0.296、0.235、0.163、0.085、0.076、0.145。将因子进行叠加构建出生境适宜性指数(HSI)评价模型,并对研究区的生境适宜性进行评价。在此基础上采用ArcGIS的水文分析模块模拟动物潜在的活动路径与道路叠加,从而确定合适的动物通道位置。结果表明,HSI较高的区域多集中在自然保护区中部高海拔地区与缓坡地带,植被主要以天然阔叶林为主,树种的平均年龄大,覆盖面积广,郁闭度高,能够为大中型的走兽提供较好的觅食、隐蔽、繁殖场所,结合量化出的动物活动路径,得到2处动物通道的理想位置。此经HSI模型模拟出的路线只能是一种大概率情况,所建议的通道建设完成后,还需进行持续的野生动物利用情况监测,以评估通道的有效性,进而进行有针对性的改造设计,直到野生动物通道的利用效果良好。对于所得到的动物活动路径,不仅可以为动物通道选址提供参考,也可为动物迁移廊道修正、林区择伐等提供科学依据。     

倭肯河上游两种林型枯落物和土壤持水特性

为探讨不同树种组成的林分持水特性,采用实地调查与室内浸泡法,对倭肯河上游杂木林和阔叶红松林枯落物的蓄积量和持水特性进行测定,采用环刀法对土壤持水量进行测定。结果表明:两种林型枯落物厚度约7.5 cm,蓄积量为8.07~9.85 t/hm²,最大持水量相当于可吸收2.0~2.5 mm的降水,有效拦蓄量相当于可吸收1.0 mm的降水。枯落物持水量与浸水时间呈对数函数关系(R 2>0.9843),吸水速率与浸水时间呈幂函数关系(R 2>0.9999)。两种林型土壤总孔隙度范围为50.32%~51.41%,非毛管孔隙度范围为3.00%~4.44%,土壤最大持水量范围为1509.74~1542.17 t/hm²,土壤有效持水量范围为89.96~133.32 t/hm²。阔叶红松林密度低,生产力高,枯落物层最大持水量、有效拦蓄量,土壤层最大持水量、有效持水量均高于杂木林,但各评价指标差异不显著(p>0.05)。两林地持水能力中等偏低,以提高森林水源涵养为目标时,可维持现有结构,进一步开展密度调整研究。     

植物根系对土壤水力参数影响的定量研究综述

植物根系是土壤结构以及土壤水力参数变化的重要影响要素。目前不仅缺乏定量描述“根-孔隙-土壤水力参数”相互作用的研究方法,在更大尺度上根系作用的客观表达也尚不明确,由此导致降雨入渗、径流和蒸发等流域水文过程的精细刻画与模拟预测具有很大的不确定性。基于文献检索,本文对国内外相关研究进行了回顾与梳理,量化了植物根系对土壤水力参数的改变和影响,并提出其与植被、土壤类型的响应方式,总结了植物根系动态性生长下的土壤水力参数定量表述及其预测模型进展。同时分析了在定量研究根-土复合系统中存在的问题及未来研究的发展方向,指出目前根系影响土壤水力参数的研究主要集中在小尺度控制实验方面,忽略了大尺度下土壤空间异质性及外部环境因素的干扰,强调大尺度根系作用和根系参数纳入土壤结构的重要性和实际意义,进一步与水文模型的深度耦合逐渐成为未来研究的热点。     

气候变化对水文水资源影响的研究进展

自进入21世纪以来,气候变化问题成了全世界关注的焦点,各国政府都加大对气候变化所引起环境问题的重视,尤其是因气候变化对水文水资源的影响是不容忽视的.文章将对当前气候变化对水文水资源的相关研究展开论述.     

辽宁省东部山区5种森林植被类型水文生态效益综合评判

利用层次分析与Fuzzy数学相结合方法,对辽宁省东部山区5种森林植被类型水源涵养能力进行了多目标综合评判。首先利用层次分析法确定了评价因子林冠截留、林冠蒸散、枯落物蓄水、土壤容重、非毛管孔隙度、初渗速率、稳渗速率、土壤总蓄水和土壤有效水的权重集为C=(0.0245,0.0051,0.1993,0.0109,0.0762,0.0565,0.2827,0.0573,0.2866),然后利用最大模糊熵原则确定了评价因子的隶属函数,最后利用Fuzzy综合评判得出油松、落叶松、红松、柞木林、杂木林评价结果模糊子集为B=(0.4686,0.3784,0.4145,0.6128,0.4808),结果表明阔叶林水源涵养效益高于针叶林,其中柞木林效益最佳。