河西走廊疏勒河流域水资源管理问题分析

从水资源管理体制、配置程序、市场化管理等方面探讨了河西走廊疏勒河流域水资源管理及存在的问题。目前流域已建成较健全的用水者协会体系,水价和水权在不断调整以适应水资源管理的需求。其管理存在以下问题：受地方行政、企业等多方权力博弈的影响,地表水和地下水处于双线管理状态,未能实现流域水资源的全面统一管理;用水者协会的职能未得到充分发挥,公众参与水资源管理不积极;流域内水价、水权制度不完善。建议如下：应在甘肃省水利厅和酒泉市政府之间形成协调机制,以协调各相关方的权益,完善流域管理局和地方政府统一协调的水资源管理体系,实现流域水资源的集成管理;加强流域机构立法,实现流域水资源的统一管理与调配;将协会的职责和义务融入到村委会的职务中,并完善水价制度,建立水权交易市场,以调动公众的自我管理和实现水资源的高效利用。     

国际上水资源综合管理进展

中国近年实施最严格水资源管理制度、全面推行河长制等一系列政策,不断探索完善水资源综合管理的体制和机制。为加强对水资源综合管理的认识,推动中国水资源综合管理的实施,结合国际社会对水资源综合管理认识和实践新成果,主要梳理总结水资源综合管理理念的形成过程、主要组成、实施状况、存在问题和发展趋势。结果显示:(1)随着对传统水资源管理存在分散化等问题的认识,水资源综合管理的理念逐渐形成,并已被国际社会所接受;(2)水资源综合管理实施"综合"途径管理水资源,强调通过完善实施的环境条件、机构框架、具体管理手段和稳健的水基础设施投资机制,实现用水效率、社会公平、环境可持续的均衡;(3)许多国家已把综合管理的理念和措施纳入到其水资源管理政策和体制框架设计中,并在水管理的实践过程中取得新进展;(4)国际上水资源综合管理理念和经验为进一步完善中国水资源管理提供了启示和借鉴;(5)未来水资源综合管理将进一步得到推广实施,从理念到解决具体水问题的实践过程将进一步加强,并呈现多样性和动态性特征。尽管面临由于气候变化影响和水与社会经济交互作用导致的不确定性、复杂性等问题的挑战,随着水资源综合管理的实践和水科学研究进步,水资源管理将进一步采用整体、多学科和可持续的途径,助力可持续发展目标的实现。     

The Digital Belt and Road program in support of regional sustainability

The Belt and Road initiative has a significant focus on infrastructure, trade, and economic development across a vast region, and it also provides significant opportunities for sustainable development. The combined pressure of climate variability, intensified use of resources, and the fragility of ecosystems make it very challenging, however, to achieve future sustainability. To develop the path in a sustainable way, it is important to have a comprehensive understanding of these issues across nations and evaluate them in a scientific and well-informed approach. In this context, the Digital Belt and Road (DBAR) program was initiated as an international venture to share expertise, knowledge, technologies, and data to demonstrate the role of Earth observation science and technology and big Earth data applications to support large-scale development. In this paper, we identify pressing challenges, present the research priorities and foci of the DBAR program, and propose solutions where big Earth data can make significant contributions. This paper calls for further joint actions and collaboration to build a digital silk road in support of sustainable development at national, regional and global levels.     

Development of groundwater favourability map using GIS-based driven data mining models: an approach for effective groundwater resource management

The development of groundwater favourability map is an effective tool for the sustainability management of groundwater resources in typical agricultural regions, such as southern Perak Province, Malaysia. Assessing the potentiality and pollution vulnerability of groundwater is a fundamental phase of favourability mapping. A geographic information system (GIS)-based Boolean operator of a spatial analyst module was applied to combine a groundwater potentiality map (GPM) model and a groundwater vulnerability to pollution index (GVPI) map, thereby establishing the favourable zones for drinking water exploration in the investigated area. The area GPM model was evaluated by applying a GIS-based Dempster–Shafer–evidential belief function model. In the evaluation, six geoelectrically determined groundwater potential conditioning factors (i.e. overburden resistivity, overburden thickness, aquifer resistivity, aquifer thickness, aquifer transmissivity and hydraulic conductivity) were synthesized by employing the probability-based algorithms of the model. The generated thematic maps of the seven hydrogeological parameters of the DRASTIC model were considered as pollution potential conditioning factors and were analysed with the developed ordered weighted average–DRASTIC index model algorithms to construct the GVPI map. Approximately 88.8 and 85.71% prediction accuracies for the Groundwater Potentiality and GVPI maps were established using the reacting operating characteristic curve method and water quality status–vulnerability zone relationship scheme, respectively. Finally, the area groundwater favourability map (GFM) model was produced by applying a GIS-based Boolean operator on the Groundwater Potentiality and GVPI maps. The GFM model reveals three distinct zones: ‘not suitable’, ‘less suitable’ and ‘very suitable’ zones. The area analysis of the GFM model indicates that more than 50% of the study area is covered by the ‘very suitable’ zones. Results produce a suitability map that can be used by local authorities for the exploitation and management of drinking water in the area. The study findings can also be applied as a tool to help increase public awareness of groundwater issues in developing countries.     

A novel approach to leveraging social media for rapid flood mapping: a case study of the 2015 South Carolina floods

Rapid flood mapping is critical for local authorities and emergency responders to identify areas in need of immediate attention. However, traditional data collection practices such as remote sensing and field surveying often fail to offer timely information during or right after a flooding event. Social media such as Twitter have emerged as a new data source for disaster management and flood mapping. Using the 2015 South Carolina floods as the study case, this paper introduces a novel approach to mapping the flood in near real time by leveraging Twitter data in geospatial processes. Specifically, in this study, we first analyzed the spatiotemporal patterns of flood-related tweets using quantitative methods to better understand how Twitter activity is related to flood phenomena. Then, a kernel-based flood mapping model was developed to map the flooding possibility for the study area based on the water height points derived from tweets and stream gauges. The identified patterns of Twitter activity were used to assign the weights of flood model parameters. The feasibility and accuracy of the model was evaluated by comparing the model output with official inundation maps. Results show that the proposed approach could provide a consistent and comparable estimation of the flood situation in near real time, which is essential for improving the situational awareness during a flooding event to support decision-making.     

浅议矿山地质环境问题及其生态环境修复措施以某矿区为例

矿山地质环境问题治理是一项复杂的长期系统工程,本文以某矿区为例,简要阐述了矿山地质环境存在问题,有针对性地提出治理措施。经济建设同时,坚持生态优先、绿色发展道路,切实把绿色发展理念贯穿于矿山资源开发、利用、保护的全过程,全力推进矿山地质环境治理和生态修复工程。     

湿陷性黄土边坡预应力锚索耐久性与改善措施研究

随着预应力锚索在湿陷性黄土边坡加固工程中的广泛应用,其耐久性问题就变得日益突出,湿陷性黄土边坡预应力锚索出现了较多因预应力损失而引起的失效事故。基于湿陷性黄土边坡预应力锚索运行现状进行研究,研究表明:黄土腐蚀性对边坡预应力锚索耐久性影响微弱,黄土湿陷性和地质条件变化对边坡预应力锚索耐久性影响显著;通过采用加强排水措施、提升浅部注浆工艺和注重运行维护等措施可以改善湿陷性黄土边坡预应力锚索耐久性;改善后的预应力锚索在监测期内处于平稳波动的服役状态,运行效果良好。本研究以期为湿陷性黄土边坡预应力锚索的设计、施工和运行维护等提供借鉴。     

对甘肃矿山生态保护修复资金管理的思考及建议

矿山开采生产的生态保护与修复工作,涉及自然资源、生态环境、水利、林草等多部门,结合矿政管理工作实际,梳理了矿山生态保护修复资金类型,总结剖析了目前不同部门分头管理存在的问题,在此基础上,提出应整合各部门矿山生态保护修复方案及资金,形成管理合力,把生态保护修复工作贯穿到从地质勘查、矿山建设、开采、闭坑、管护的全过程,边开采边治理,整体保护,综合整治,系统修复。     

Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management

Machine learning algorithms are an important measure with which to perform landslide susceptibility assessments,but most studies use GIS-based classification methods to conduct susceptibility zonation.This study presents a machine learning approach based on the C5.0 decision tree(DT)model and the K-means cluster algorithm to produce a regional landslide susceptibility map.Yanchang County,a typical landslide-prone area located in northwestern China,was taken as the area of interest to introduce the proposed application procedure.A landslide inventory containing 82 landslides was prepared and subse-quently randomly partitioned into two subsets:training data(70％landslide pixels)and validation data(30％landslide pixels).Fourteen landslide influencing factors were considered in the input dataset and were used to calculate the landslide occurrence probability based on the C5.0 decision tree model.Susceptibility zonation was implemented according to the cut-off values calculated by the K-means clus-ter algorithm.The validation results of the model performance analysis showed that the AUC(area under the receiver operating characteristic(ROC)curve)of the proposed model was the highest,reaching 0.88,compared with traditional models(support vector machine(SVM)=0.85,Bayesian network(BN)=0.81,frequency ratio(FR)=0.75,weight of evidence(WOE)=0.76).The landslide frequency ratio and fre-quency density of the high susceptibility zones were 6.76/km2 and 0.88/km2,respectively,which were much higher than those of the low susceptibility zones.The top 20％interval of landslide occurrence probability contained 89％of the historical landslides but only accounted for 10.3％of the total area.Our results indicate that the distribution of high susceptibility zones was more focused without contain-ing more"stable"pixels.Therefore,the obtained susceptibility map is suitable for application to landslide risk management practices.     

太阳辐射管理地球工程对海洋酸化影响的模拟研究

研究地球工程对海洋酸化的影响对于评估地球工程对全球气候和环境的影响有重要意义。文中使用中等复杂程度的地球系统模式,模拟了典型CO₂高排放情景RCP8.5下,实施太阳辐射管理地球工程对海洋表面的pH和文石（碳酸钙的一种亚稳形态）饱和度的影响,并定量分析了各环境因子对海洋酸化影响的机理。模拟结果表明,在RCP8.5情景下,到2100年,相对于工业革命前水平,全球海洋表面平均pH下降了0.43,文石饱和度下降了1.77。相对于RCP8.5情景,2100年地球工程情景下全球海洋表面平均pH增加了0.003,而文石饱和度降低了0.16。地球工程通过改变溶解无机碳、碱度、温度等环境因子影响海洋酸化。相对于RCP8.5情景,实施地球工程引起的溶解无机碳浓度的增加使pH和文石饱和度均减小,碱度的增加使pH和文石饱和度均增大,温度的降低使pH增大而使文石饱和度减小。总体而言,太阳辐射管理地球工程可以降低全球温度,但无法减缓海洋酸化。