云南省可持续发展能力研究与评价

从可持续发展系统学研究方向 ,对区域可持续发展总体能力进行解析 ,设计评价指标体系对其进行表达 ;借鉴西方经济学中“比较优势理论”的基本思想 ,定义区域可持续发展比较优势能力及其计算方法。分别从数量角度 (总体能力 )和质量角度 (比较优势能力 )对云南省可持续发展水平进行研究 ,并进一步分析其可持续发展态势在全国和西部地区所处的位置     

任意形状重磁异常三度体人机联作反演

作者在文中介绍了一种基于三角形多面体模型的重磁三维反演技术，其特点是既可通过和自动迭代方式来改变反演模型，又可通过过人机交互方式来改变模型，该技术具有较高的实用性。     

新一轮二滩电站库区遥感调查

新一轮二滩电站库区遥感调查是在我国前20年滑坡、泥石流遥感调查技术方法基础上的一次革新。本文介绍了革新方法的数据源、工作平台、技术流程、及人机交互与自动分类相结合的遥感解译方法，并对获得的工作区滑坡、泥石流的数量、分布、特性及它们的环境背景作简要分析。     

Inelastic spectra for displacement-based seismic design

In recognition of the emergence of displacement-based seismic design as a potentially more rational approach than force-based techniques, this paper addresses derivation of inelastic displacement spectra and associated topics. A well-constrained earthquake strong-motion dataset is used to derive inelastic displacement spectra, displacement reduction factors and ductility–damping relationships. These are in a format amenable for use in design and assessment of structures with a wide range of response characteristics.     

利用多项式拟合模板法消除地震数据中的低频随机干扰

提出利用多项式拟合模板法消除地震数据中的低频随机干扰，分析模板的性质并推导出模板参数与低频随机干扰最高频率之间的关系式。     

Flood-type trend analysis for alpine catchments

ABSTRACT

In many places, magnitudes and frequencies of floods are expected to increase due to climate change. To understand these changes better, trend analyses of historical data are helpful. However, traditional trend analyses do not address issues related to shifts in the relative contributions of rainfall versus snowmelt floods, or in the frequency of a particular flood type. We present a novel approach for quantifying such trends in time series of floods using a fuzzy decision tree for event classification and applied it to maximal annual and seasonal floods in 27 alpine catchments for the period 1980–2014. Trends in flood types were studied with Sen’s slope and double mass curves. Our results reveal a decreasing number of rain-on-snow and an increasing number of short rainfall events in all catchments, with flash floods increasing in smaller catchments. Overall, the results demonstrate the value of incorporating a fuzzy flood-type classification into flood trend analyses.     

A minimalistic approach for evapotranspiration estimation using the Prophet model

ABSTRACT

This study aimed to evaluate the potential of the recently introduced Prophet model for estimating reference evapotranspiration (ETo). A comparative study was conducted for benchmarking the model results with support vector regression (SVR) and temperature-based empirical models (Thornthwaite and Hargreaves) in southern Japan. The performance of the Prophet, SVR and temperature-based empirical models was evaluated by Nash–Sutcliffe efficiency (NSE) and coefficient of determination (R²). The results indicate that temperature-based Prophet and SVR models have greater accuracy than the empirical models. The Prophet model with sole input of relative humidity, sunshine hours or windspeed showed acceptable accuracy (NSE > 0.80; R² > 0.80), while SVR models with similar inputs showed greater errors. Accuracy improved with increasing number of input parameters, giving excellent performance (NSE > 0.95; R² > 0.95) with all input parameters. Hence, the Prophet model is a new promising approach for modelling ETo with limited input variables.     

A workflow for Sustainable Development Goals indicators assessment based on high-resolution satellite data

ABSTRACT

For evaluating the progresses towards achieving the Sustainable Development Goals (SDGs), a global indicator framework was developed by the UN Inter-Agency and Expert Group on Sustainable Development Goals Indicators. In this paper, we propose an improved methodology and a set of workflows for calculating SDGs indicators. The main improvements consist of using moderate and high spatial resolution satellite data and state-of-the-art deep learning methodology for land cover classification and for assessing land productivity. Within the European Network for Observing our Changing Planet (ERA-PLANET), three SDGs indicators are calculated. In this research, harmonized Landsat and Sentinel-2 data are analyzed and used for land productivity analysis and yield assessment, as well as Landsat 8, Sentinel-2 and Sentinel-1 time series are utilized for crop mapping. We calculate for the whole territory of Ukraine SDG indicators: 15.1.1 – ‘Forest area as proportion of total land area’; 15.3.1 – ‘Proportion of land that is degraded over total land area’; and 2.4.1 – ‘Proportion of agricultural area under productive and sustainable agriculture’. Workflows for calculating these indicators were implemented in a Virtual Laboratory Platform. We conclude that newly available high-resolution remote sensing products can significantly improve our capacity to assess several SDGs indicators through dedicated workflows.     

遥感图像人机交互判读方法研究及其应用

对于大型复杂的遥感判读任务,往往需要灵活地运用不同的判读方法,才能取得令人满意的效果,然而传统目视判读和常规计算机分类都难以满足这一要求,笔者设计了屏幕目视判读,改进型监督自动分类,分区自动分类,辅助波段分类,动态变化判读,人机混合判读和多组分工判读等遥感图像人机交互判读方法,把计算机自动分类与人工判读的优势相结合,对于提高图像判读精度,速度和高效率的遥感专题信息生成,帮助判读人员更好地完成各种遥感图像的判读任务都具有重要的意义,该文探讨了以上方法的特点,适用范围与实现方法,并给出了一些实例加以说明。     

区域发展和水资源利用透明交互决策系统

区域发展与水资源是密切相关的 ,本文提出以时空运筹模型为核心的决策判断过程透明和分层交互的决策系统 ,简称透明交互决策系统。用户可以使用此系统找到研究区社会经济发展与水资源协调的方案。