土地利用规划方案综合评价的研究

在介绍评价系数法的基础上,进行了相应改进,提出了修正理想点法,并确定了土地利用规划方案综合评价因素指标及其权重,使综合评价结果合理。     

Whether human-induced activities could change the gradient pattern of coastal land use along the sea-land direction: a case study in Manila Bay,Philippines

Increasing intense human activities have largely changed the coastal landscape and caused many environmental issues. However, whether human-induced activities could change the coastal land use gradient pattern, an important coastal zonal characteristic along the sea–land direction, remains unclear. Manila Bay was selected as the study area in this work. According to the distance of the land use and land cover(LULC) to the coastline, we clustered the typical coastal land use sequence patterns(CLU...     

流域土地利用分区空间管制研究与初步实践——以太湖流域为例

流域空间开发和土地利用在推动经济社会发展的同时,对流域生态系统的健康和安全造成了剧烈影响,迫切需要在流域综合管理中充实完善土地利用分区与管制等研究内容,因而成为推动湖泊-流域相互作用研究的重要科学问题之一.本文在回顾相关土地利用分区与管制研究基础上,从流域自然地理单元特殊性和管理目标复杂性出发,探讨了流域水陆系统相互作用机制,分析了流域土地利用分区与空间管制的研究重点与基本思路,提出了流域土地利用分区的技术路线及关键方法,并以太湖流域为例进行了初步的实践探索,提出严格保护区、适度发展区、开发利用区和保留发展区四种类型区及其空间管制要求,符合流域资源环境与经济社会发展实际,为流域可持续开发和保护提供指导.最后,讨论了未来流域土地利用分区空间管制需要进一步研究的重点方向与关键问题.     

苏南太湖流域地下水过度开采引起的地面沉降及其防治对策

因地下水过量开采而引起的地面沉降是重要的地质灾害和生态环境问题,据最新统计资料,全国96个城市或地区发生了不同程度的地面沉降。苏南太湖流域由于城镇用水和工业用水的迅速增加,大量开采地下水,导致区域内出现了5000km^2的地区地面沉降,有些地区累计沉降量超过2．0m。地面沉降已经影响到区域的供水安全和生态安全,增加了基础设施建设成本,加快区域供水步伐,调整工业结构,加强水资源综合规划和管理是防治地面沉降的重要措施。     

低效用海评价指标体系构建研究——以浙江省普陀区填海用海为例

本文旨在针对当前海域节约集约利用的要求下,缺乏低效用海客观评价体系的现状。采用层次分析法和德尔菲专家打分法等技术,在DPSIR框架下,从指标选取、权重设立以及综合评价等方面构建低效用海评价指标体系,并在浙江省普陀区进行应用示范。结果显示,普陀区41个填海项目中,有17个项目评价等级为优,有4个评价等级为良好。等级为一般和较差的项目各10个,占评价项目48.7%。这表明普陀区填海项目中批而未填、填而未建或闲置用海情况较为明显。本研究在指标体系构建和实际应用方面具有创新性和先进性,对于低效用海的节约集约利用具有一定的实际意义和应用价值。     

第三次全国国土调查质量控制技术探讨

如何做好第三次全国国土调查(以下简称"三调")的质量控制,保证三调数据成果质量,成为该项工作能否圆满完成的关键所在.笔者根据从事三调工作积累的经验,介绍了实施三调工作的技术路线,提出了市县级"五位一体"的三调质量控制流程,并详细阐述了三调工作全过程质量控制的检查要点和方法.从基础层面保障三调质量管理工作有序高效,确保三...     

强度折减法在滑坡稳定性分析中的应用

沁水县侯村煤矿边坡处治后,I~III段使用良好,IV段抗滑挡墙失效。本文采用有限元强度折减法计算,强度指标比原定的降低了1.29倍。同时,在折减过程中,通过计算分析剪应力集中部位,确定滑面是在老滑面的基础上发展的部分新滑面,形成新的剪出口。利用折减后强度参数,计算对比新滑面与次级滑面的滑坡推力,认为挡墙破坏为新滑面推力过大所致,与原设的“次级滑面为最危险滑面”情况不符,计算结果与实际情况较吻合。      

Potential wind erosion rate response to climate and land‐use changes in the watershed of the Ningxia–Inner Mongolia reach of the Yellow River,China, 1986–2013

Climate and land‐use changes could strongly affect wind erosion and in turn cause a series of environmental problems. Thus, the objective of this study was to assess potential wind erosion rate (PWER) response to climate and land‐use changes in the watershed of the Ningxia–Inner Mongolia Reach of the Yellow River (NIMRYR), China. The watershed of NIMRYR suffers from serious wind erosion hazards, and over recent decades, wind erosion intensity and distribution has changed, following climate and land‐use changes. To understand these processes in the NIMRYR watershed, the Integrated Wind Erosion Modelling System (IWEMS) and the Revised Wind Erosion Equation (RWEQ) were used to calculate the PWER under different climate conditions and land‐use scenarios, and to assess the influences of climate and land‐use changes on the PWER. The results show the PWER in the whole watershed had a significant declining trend from 1986 to 2013. The results of the relationship among PWER, climate change, and land‐use changes showed that climate change was the dominant control on the PWER change in this watershed. Compared to the period 1986–1995, the average PWER decreased 23.32% and 64.98% as a result of climate change in the periods 1996–2005 and 2006–2013, respectively. In contrast with climate change, the effects of land‐use changes on the average PWER were much lower, and represented a change in PWER of less than 3.3% across the whole watershed. The study method we used could provide some valuable reference for wind erosion modelling, and the research results should help climate and land‐use researchers to develop strategies to reduce wind erosion. Copyright © 2017 John Wiley & Sons, Ltd.     

The effect of land cover change on duration and severity of high and low flows

Land cover has been increasingly recognized as an important factor affecting hydrologic processes at the basin and regional level. Therefore, improved understanding of how land cover change affects hydrologic systems is needed for better management of water resources. The objective of this study is to investigate the effects of land cover change on the duration and severity of high and low flows by using the Soil Water Assessment Tool model, Bayesian model averaging and copulas. Two basins dominated by different land cover in the Ohio River basin are used as study area in this study. Two historic land covers from the 1950s and 1990s are considered as input to the Soil Water Assessment Tool model, thereby investigating the hydrologic high and low flow response of different land cover conditions of these two basins. The relationships between the duration and severity of both low and high flow are defined by applying the copula method; changes in the frequency of the duration and severity are investigated. The results show that land cover changes affect both the duration and severity of both high and low flows. An increase in forest area leads to a decrease in the duration and severity during both high and low flows, but its impact is highest during extreme flows. The results also show that the land cover changes have had significant influences on changes in the joint return periods of duration and severity of low and high flows. While this study sheds light on the role of land cover change on severity and duration of high and low flow conditions, more studies using various land cover conditions and climate types are required in order to draw more reliable conclusions in the future. Copyright © 2016 John Wiley & Sons, Ltd.     

Multicriteria sensitivity analysis as a diagnostic tool for understanding model behaviour and characterizing model uncertainty

Complex hydrological models are being increasingly used nowadays for many purposes such as studying the impact of climate and land‐use change on water resources. However, building a high‐fidelity model, particularly at large scales, remains a challenging task, due to complexities in model functioning and behaviour and uncertainties in model structure, parameterization, and data. Global sensitivity analysis (GSA), which characterizes how the variation in the model response is attributed to variations in its input factors (e.g., parameters and forcing data), provides an opportunity to enhance the development and application of these complex models. In this paper, we advocate using GSA as an integral part of the modelling process by discussing its capabilities as a tool for diagnosing model structure and detecting potential defects, identifying influential factors, characterizing uncertainty, and selecting calibration parameters. Accordingly, we conduct a comprehensive GSA of a complex land surface–hydrology model, Modélisation Environmentale–Surface et Hydrologie (MESH), which combines the Canadian land surface scheme with a hydrological routing component, WATROUTE. Various GSA experiments are carried out using a new technique, called Variogram Analysis of Response Surfaces, for alternative hydroclimatic conditions in Canada using multiple criteria, various model configurations, and a full set of model parameters. Results from this study reveal that, in addition to different hydroclimatic conditions and SA criteria, model configurations can also have a major impact on the assessment of sensitivity. GSA can identify aspects of the model internal functioning that are counter‐intuitive and thus help the modeller to diagnose possible model deficiencies and make recommendations for improving development and application of the model. As a specific outcome of this work, a list of the most influential parameters for the MESH model is developed. This list, along with some specific recommendations, is expected to assist the wide community of MESH and Canadian land surface scheme users, to enhance their modelling applications.