非点源污染模型中土壤侵蚀因子研究进展

非点源污染模型是进行非点源污染模拟研究的重要手段，而土壤侵蚀模型是非点源污染模型的基础，土壤侵蚀因子的研究是土壤侵蚀模型的重要基础。本文对国内外主要土壤侵蚀因子研究的成果进行了概述，并指出在今后相当一段时期内，土壤侵蚀因子的研究仍是土壤侵蚀模型研究的重要工作。     

头屯河流域水土流失现状及治理对策

介绍头屯河流域气候、植被、水土资源状况,分析了流域水土流失的现状,提出了水土流失治理对策,总结了水土流失治理措施并提出一些建议。     

降雨与植被耦合关系对土壤侵蚀的影响分析——以密云水库上游为例

基于TRMM降雨降雨资料时间序列数据和MODIS-NDVI16d合成产品的时间序列数据,分析密云水库上游降雨与植被的耦合关系对侵蚀的影响。结果表明：（1）侵蚀将发生在降雨强度大,同时植被覆盖差的时段,而密云水库上游地区植被的年内生长曲线形态与降雨的分布形态相似性较大,表明研究区的植被具有较好的保护水土能力;（2）研究区侵蚀主要发生在7—8月,而在1—3月以及11—12月几乎不会发生侵蚀;（3）研究区侵蚀的发生与植被覆盖有很紧密的联系,大部分的侵蚀发生在植被覆盖差的＂其他＂类内。研究方法可以清楚地了解研究区内降雨与植被的耦合关系及对侵蚀的影响,研究的结果将为在年内选择具有代表性的时段分析侵蚀状况提供很好的参考资料。     

Coupling a land use model and an ecosystem model for a crop-pasture zone

This paper describes the development of a land use model coupling ecosystem processes. For a given land use pattern in a region, a built-in regional ecosystem model (TESim) simulates leaf physiology of plants, carbon and nitrogen dynamics, and hydrological processes including runoff generation and run-on re-absorption, as well as runoff-induced soil erosion and carbon and nitrogen loss from ecosystems. The simulation results for a certain period from 1976 to 1999 were then used to support land use decisions and to assess the impacts of land use changes on environment. In the coupling model, the land use type for a land unit was determined by optimization of a weighted suitability derived from expert knowledge about the ecosystem state and site conditions. The model was applied to the temperate crop-pasture band in northern China (CCPB) to analyze the interactions between land use and major ecosystem processes and functions and to indicate the added value of the feedbacks by comparing simulations with and without the coupling and feedbacks between land use module and ecosystem processes. The results indicated that the current land use in CCPB is neither economical nor ecologically judicious. The scenario with feedbacks increased NPP by 46.78 g C m⁻² a⁻¹, or 32.23% of the scenario without feedbacks, also decreased soil erosion by 0.65 kg m⁻² a⁻¹, or 23.13%. Without altering the regional land use structure (proportions of each land use type). The system developed in this study potentially benefits both land managers and researchers.     

Application of a ‘bio-engineering’ technique to protect ghoramara island (Bay of Bengal) from severe erosion

Ghoramara Island is located ca. 150 km south of Kolkata, Bay of Bengal, India, in the Sundarban Delta complex. This sparsely populated island is suffering from severe coastal erosion and areal reduction for the last three decades, which results in the loss of major areas on the northwest coast. Both numerous households and a significant area of agricultural land and coastal stretches for fish drying have been lost. This has rendered thousands of people homeless as ‘environmental refugess’. In the present paper an attempt is made to study the erosion and accretion process through time series analysis using a GIS technique. Also, a study of remedial measures to protect the island using a ‘bio-engineering’ technique is reported in this paper. It has been shown that, in the absence of protection measures, the eastern shore will merge with the Indian mainland during the next 25 years, while the western part will be completely washed off.     

基于RUSLE模型的东江源区土壤侵蚀时空变化分析

研究东江源区土壤侵蚀对于加强东江流域的生态环境保护和建设,提高粤港地区的用水安全,保证粤港地区的繁荣、稳定发展意义重大。基于1995—2020年的降雨数据、土壤数据、DEM数据和Landsat影像数据,采用RS、GIS技术以及RUSLE模型定量分析东江源区土壤侵蚀时空特征。结果表明：(1)东江源区土壤侵蚀以微度和轻度侵蚀为主,严重侵蚀区域主要分布在源区东南部,果园和矿区等的开发使得局部区域侵蚀加剧。(2)1995—2020年,土壤侵蚀程度总体有所下降,微度以上侵蚀面积共减少了10.19%,土壤侵蚀模数下降了57.75%。其中2008年土壤侵蚀模数最大,达到2397.13 t · (km² · a)^-1,2020年土壤侵蚀模数最小,为669.47 t · (km² · a)^-1。(3)近26 a以来,东江源区土壤侵蚀改善区域的面积达到16.52%,侵蚀加剧区为4.28%,以矿区侵蚀加剧情况最为明显。(4)源区内土壤侵蚀较严重区域主要发生在矿区、裸地、耕地和果园区,矿产资源的过度开采、不合理的农业耕作方...     

常州市裸露地面风蚀扬尘排放清单及分布特征研究

以2014年为基准年,以常州市行政边界为研究区域,利用卫星遥感解译的土地利用类型和裸土面积信息,并通过国土、气象等部门提供的土壤类型、气象因子等相关资料获取本地化因子和参数,估算常州市行政区域内裸露地面土壤扬尘中颗粒物的年排放量。结果表明:常州市裸露地面主要分布在金坛市、溧阳市和武进区,市中心区域最少,裸露土地利用类型主要为农田、滩涂、裸露山体、荒地及未硬化或未绿化的空地等;2014年常州市行政区域内裸露地面风蚀扬尘中TSP、PM 10、PM 2.5的年排放量分别为62.66 t、5.63 t、0.24 t,其中,金坛市土壤起尘量最大,其次为武进区,再次为新北区、溧阳市,市中心区域土壤扬尘最少。     

降雨过程中红壤团聚体粒径变化对溅蚀的影响

为揭示团聚体粒径动态变化对溅蚀的影响,通过室内人工模拟降雨试验,以第四纪粘土、泥质页岩发育红壤为研究对象,研究了酒精预湿润后的2~5 mm团聚体在降雨过程中粒径动态变化及溅蚀率的变化。试验结果表明：在60 mm/h雨强下,团聚体受雨滴机械打击破碎主要发生在降雨的最初阶段,团聚体＞0.25 mm百分含量（P＞0.25）及平均重量直径（M）均随降雨时间（T）增加呈幂函数减小,溅蚀率（Dr）随降雨时间（T）增加呈幂函数增加,而溅蚀率（Dr）随团聚体平均重量直径（M）减小呈幂函数增大。为揭示不同土样在降雨溅蚀过程中溅蚀率的变化规律,利用团聚体稳定性特征参数-机械破碎指数（R）及降雨时间（T）,建立了不同团聚体稳定性土样溅蚀率随降雨时间变化的经验方程,且方程可决系数较高（R2=0.82）,揭示出团聚体稳定性越好,其破碎过程越缓慢,溅蚀率越小。研究结果为红壤区土壤侵蚀的防治及侵蚀机理研究提供了新思路     

基于多因子指数集成的流域面源污染风险研究

为掌握流域面源污染风险的整体趋势,基于风险评价时,单个因子对系统某种风险的贡献率可能大于1且因子对系统风险贡献呈一定结构性的问题,定义了风险标准值的概念和算法,建立了系统风险多因子集成评价方法,并在地理信息系统支持下对泸沽湖流域进行了案例研究.结果表明,泸沽湖流域面源污染流失风险处于较高的水平;系统风险多因子集成评价法在对多个同类系统间进行比较时,具有较大的优势;该方法可以与其他多种方法相结合对系统属性进行全面综合评价.     

Repeatability,Sensitivity, and Uncertainty Analyses of the BANCS Model Developed to Predict Annual Streambank Erosion Rates

Accelerated streambank erosion caused by channel instability can be the leading cause of sediment impairment of streams. Obtaining accurate streambank erosion rates for sediment budgeting and prioritizing mitigation efforts can be difficult and costly. One approach to quantifying streambank erosion rates is through the development and implementation of an empirically derived “Bank Assessment for Non‐point Source Consequences of Sediment” (BANCS) model. This study aims to improve the BANCS model application by evaluating repeatability between users and identifying sensitive and/or uncertain model inputs. Statistical analysis of streambank evaluations conducted by 10 different individuals suggests the implementation of the BANCS model may not be repeatable. This finding may be due to sensitive model inputs, such as streambank height and near‐bank stress level prediction method selection, and/or uncertain model inputs, such as bank material identification and the associated adjustment of erosion potential. Furthermore, it was found assessing streambanks as a group by obtaining a measure of central tendency from individual evaluations, as well as obtaining a higher level of training, may improve model implementation precision. Application of these suggestions may result in improved prediction of streambank erosion rates utilizing the BANCS model methodology.