A temporal-contextual analysis of urban dynamics using location-based data

The dynamics of urban activities in Jerusalem were studied by analyzing a large-scale semantically rich movement dataset. The semantic enrichment process was based on coupling movement trajectories sampled by GPS loggers with contextual data derived from trajectory-based digital activity dairies. Although the utility of such procedures in generating trajectory-specific semantic data was noted before, their application stays limited. In this paper, we promote the utilization of these procedures by demonstrating that they are not only feasible but also important for mobility studies. We discuss the characteristics of the semantic enrichment process and the manner by which it was applied within the large-scale analysis of urban dynamics. This application uncovered a time- and context-dependent array of centers in Jerusalem, resulting in a semantically rich characterization of urban dynamics. Such characterization provides otherwise unobtainable insights crucial for urban analysis. Wider implications for movement studies may be derived, as this application demonstrates how diary-based enrichment approaches hold the potential to advance bridging the semantic gap in mobility research.     

The impact of aquifer stratification on saltwater intrusion characteristics. Comprehensive laboratory and numerical study

Laboratory experiments and numerical simulations were utilized in this study to assess the impact of aquifer stratification on saltwater intrusion. Three homogeneous and six layered aquifers were investigated. Image processing algorithms facilitated the precise calculation of saltwater wedge toe length, width of the mixing zone, and angle of intrusion. It was concluded that the length of intrusion in stratified aquifers is predominantly a function of permeability contrast, total aquifer transmissivity and the number of heterogeneous layers, being positively correlated to all three. When a lower permeability layer overlays or underlays more permeable zones its mixing zone widens, while it becomes thinner for the higher permeability strata. The change in the width of the mixing zone (WMZ) is positively correlated to permeability contrast, while it applies to all strata irrespectively of their relative vertical position in the aquifer. Variations in the applied hydraulic head causes the transient widening of WMZ. These peak WMZ values are larger during saltwater retreat and are negatively correlated to the layer's permeability and distance from the aquifer's bottom. Moreover, steeper angles of intrusion are observed in cases where low permeability layers overlay more permeable strata, and milder ones in the inverse aquifer setups. The presence of a low permeability upper layer results in the confinement of the saltwater wedge in the lower part of the stratified aquifer. This occurs until a critical hydraulic head difference is applied to the system. This hydraulic gradient value was found to be a function of layer width and permeability contrast alike.     

A RESTful proxy and data model for linked sensor data

Abstract

The vision of a Digital Earth calls for more dynamic information systems, new sources of information, and stronger capabilities for their integration. Sensor networks have been identified as a major information source for the Digital Earth, while Semantic Web technologies have been proposed to facilitate integration. So far, sensor data are stored and published using the Observations & Measurements standard of the Open Geospatial Consortium (OGC) as data model. With the advent of Volunteered Geographic Information and the Semantic Sensor Web, work on an ontological model gained importance within Sensor Web Enablement (SWE). In contrast to data models, an ontological approach abstracts from implementation details by focusing on modeling the physical world from the perspective of a particular domain. Ontologies restrict the interpretation of vocabularies toward their intended meaning. The ongoing paradigm shift to Linked Sensor Data complements this attempt. Two questions have to be addressed: (1) how to refer to changing and frequently updated data sets using Uniform Resource Identifiers, and (2) how to establish meaningful links between those data sets, that is, observations, sensors, features of interest, and observed properties? In this paper, we present a Linked Data model and a RESTful proxy for OGC's Sensor Observation Service to improve integration and inter-linkage of observation data for the Digital Earth.     

Sustainable groundwater management of the stressed Coastal aquifer in the Gaza region

Abstract

This study proposes an empirical approach that can lead to the sustainable management of groundwater resources. This approach enables a comprehensive understanding of an aquifer, delineates distinct hydrological scenarios, and recommends a set of operational activities for each sub-region of the aquifer. The paper focuses on the Coastal aquifer of the Gaza Strip region which has been divided into three sub-regions. The southern sub-region (WSW) is classified as scenario “+a2”, which indicates that it can be used as a multi-annual groundwater reservoir. The northern sub-region (NW-E) is designated scenario “-a2”, where the recommended operational measures include injection of freshwater in wells and cleaning of the surface environment. The third sub-region (CSE), is classified as scenario “-b2”, which requires severe management measures to correct both a negative hydrological and environmental situation. The approach also involves on-going monitoring of the aquifer, and can be considered as an empirical tool to provide preliminary guidelines for long-term groundwater management.     

A decade of Predictions in Ungauged Basins (PUB)—a review

Abstract

The Prediction in Ungauged Basins (PUB) initiative of the International Association of Hydrological Sciences (IAHS), launched in 2003 and concluded by the PUB Symposium 2012 held in Delft (23–25 October 2012), set out to shift the scientific culture of hydrology towards improved scientific understanding of hydrological processes, as well as associated uncertainties and the development of models with increasing realism and predictive power. This paper reviews the work that has been done under the six science themes of the PUB Decade and outlines the challenges ahead for the hydrological sciences community.

Editor D. Koutsoyiannis

Citation Hrachowitz, M., Savenije, H.H.G., Blöschl, G., McDonnell, J.J., Sivapalan, M., Pomeroy, J.W., Arheimer, B., Blume, T., Clark, M.P., Ehret, U., Fenicia, F., Freer, J.E., Gelfan, A., Gupta, H.V., Hughes, D.A., Hut, R.W., Montanari, A., Pande, S., Tetzlaff, D., Troch, P.A., Uhlenbrook, S., Wagener, T., Winsemius, H.C., Woods, R.A., Zehe, E., and Cudennec, C., 2013. A decade of Predictions in Ungauged Basins (PUB)—a review. Hydrological Sciences Journal, 58 (6), 1198–1255.     

不动产登记数据的建筑分层分户三维建模关键技术

随着实景三维建设的不断推进,城市管理向立体化、精细化和数字化发展,建筑分层分户三维模型能够承载更详细精准的属性信息,并能叠加倾斜三维模型进行场景渲染,可以更好地服务于城市不动产三维管理、数字赋能社会治理等工作。本文以“萧山区数字赋能社会治理”项目建设为背景,探索和实现了基于不动产登记数据的建筑分层分户三维建模关键技术,形成了从全空间多源异构数据归集至城市全域建筑分层分户三维模型建设的一整套生产技术流程,为城市不动产三维管理、数字赋能社会治理等提供了有效的技术支撑和数据基础。     

城市政府驻地搬迁对经济增长的影响研究

城市政府驻地搬迁是政府重新配置空间资源以达到优化空间结构并推动地区经济发展的行政手段。然而,当前中央政府对城市政府搬迁的谨慎态度与地方政府热衷搬迁的现实行为产生了矛盾,增强了对该政策评估研究的强烈需求。同时,以往研究较少关注城市政府驻地搬迁对整体经济的影响,且缺乏大样本实证证据。本文选取1996—2016年城市面板数据,采用倾向得分匹配倍差法检验城市政府驻地搬迁对经济增长的影响。结果表明,城市政府驻地搬迁对城市经济增长起到了显著的促进作用,而城市发展因素会调节搬迁带来的经济增长效应,产生异质性结果。其中,搬迁距离、经济发展水平、固定资产投资率、政府干预等城市发展因素会放大搬迁产生的经济增长效应,建设用地增长率会缩减这一效应,而城市规模对搬迁带来的经济增长没有显著的调节作用。从时间效应上来看,城市政府驻地搬迁对城市经济增长具有长期促进作用,并在搬迁约7年后随时间推移逐渐增强。本研究不仅直接检验了城市政府驻地搬迁对城市整体经济增长的促进效应,为优化行政区划调整提供学术依据,也对评估地方政府驻地搬迁效果具有重要参考价值。     

能源消费碳排放的影响因素特征及研究展望

碳排放影响因素是学术圈密切关注的重要研究方向,国内外学者开展了诸多案例研究并取得了丰富成果。因研究区社会经济发展水平、资源禀赋差异,不同学者在不同区域的研究结论不尽一致,缺少系统梳理和总结。有鉴于此,梳理国内外碳排放影响因素相关文献,基于文献综述,归纳碳排放影响因素特征。结果发现：① 碳排放影响因素具有时间效应、空间效应和空间尺度效应,即碳排放影响因素的影响程度、作用方向,随时间演变、区域差异和研究单元的空间尺度升降而发生规律性变化。② 碳排放影响因素的时间效应、空间效应和空间尺度效应,与中国短时间尺度内经济快速发展、经济发展水平存在区域差异、以及时间和空间尺度上经济发展水平的耦合相关。③ 碳排放影响因素特征对碳排放研究需立足区域发展方向、区域分类管控和空间降尺度提出客观要求。地域功能是自然承载力、社会经济水平和发展潜力的集成表达,城市、农业、生态功能区因在国土空间开发和保护格局中功能定位不同,其产业集聚和人口分布各有其特点,带来能源消费碳排放差异。以主体功能区为抓手、开展碳排放分类管控是重要的理论和实践尝试。     

小农户融入农业产业链的选择偏好及异质性研究——以河南省为例

为更好地揭示小农户融入农业产业链的行为逻辑,基于河南省463户小农户的调查数据,运用选择实验法和混合Logit模型分析小农户融入农业产业链的选择偏好。结果表明:相对于龙头企业,小农户更倾向于以加入农民专业合作社的方式融入农业产业链,紧密的利益联结机制和政策扶持会显著提升小农户对农业产业链的融入意愿。小农户对龙头企业、农资供应服务、农业信贷服务、农业补贴的行为存在异质性。兼业情况、家庭年纯收入以及收入在村中所处水平是小农户行为异质性的重要来源,对小农户融入农业产业链具有显著的负向影响。     

中国农村普惠金融对多维贫困的影响

减贫是联合国2030年可持续发展目标的首位目标,厘清普惠金融对农村贫困的作用机理与成效,可为乡村扶贫开发提供新视角、新路径。论文基于可持续生计分析框架探究农村普惠金融的减贫机理,并集成多源数据与多元方法对农村普惠金融的减贫效应、作用路径与影响的异质性进行了系统性实证检验。研究发现：农村普惠金融的减贫作用存在直接与间接双重路径。三维贫困标准下农村普惠金融指数对多维贫困发生率的减缓边际效应为67.5%,且减贫效应稳健。农村普惠金融的减贫效应存在群体差异,因贫困群体的贫困程度、受教育水平与贫困类型不同而呈分异特征,对深度贫困群体和低受教育水平贫困群体的减贫效应相对较小,对收入贫困、就业贫困、健康贫困与生活贫困均具减缓效应。需要科学识别农村普惠金融与贫困群体/地区的耦合过程,实现普惠金融的差异化供给及其与农村教育的深入关联以提升农村普惠金融减贫的深度、广度与可持续性。