HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on elevation data obtained in 2000 by NASA's Shuttle Radar Topography Mission (SRTM).
最近近排水口以上的高度(HAND)是一个使用最近的排水口进行归一化的数字高程模型,用于水文和更广泛的用途,如灾害测绘、地貌分类和遥感。HAND的基本特征之一是它能够捕捉当地环境中的异质性,否则难以测量或建模。虽然学术文献中发表了许多HAND的应用,但还没有生成和分析全球规模的HAND数据集,特别是使用更高分辨率的DEM,如新的、一角秒(约30米)分辨率的SRTM版本。在这项工作中,我们提出了第一个使用两个DEM的镶嵌计算的全球版本的HAND。SRTM(30米)和Viewfinder Panoramas DEM(90米)。较低分辨率的DEM被用来覆盖北纬60度以上的纬度,在那里SRTM是缺失的。为了并行处理,生成了新的HydroBASINS集水区的同质化、等面积版本。新的集水区边界被用来用D8方法划定DEM。用于计算HAND的方法是用PCRaster软件实现的,在谷歌计算引擎并行平台上运行。
The Hydrologically Enforced Digital Elevation Model (DEM-H) was derived from the SRTM data acquired by NASA in February 2000. The model has been hydrologically conditioned and drainage enforced. The DEM-H captures flow paths based on SRTM elevations and mapped stream lines, and supports delineation of catchments and related hydrological attributes. The dataset was derived from the 1 second smoothed Digital Elevation Model (DEM-S; ANZCW0703014016) by enforcing hydrological connectivity with the ANUDEM software, using selected AusHydro V1.6 (February 2010) 1:250,000 scale watercourse lines (ANZCW0503900101) and lines derived from DEM-S to define the watercourses. The drainage enforcement has produced a consistent representation of hydrological connectivity with some elevation artefacts resulting from the drainage enforcement. A full description of the methods is in preparation (Dowling et al., in prep).
Every time it rains on Farmer John's fields, a pond forms over Bessie's favorite clover patch. This means that the clover is covered by water for awhile and takes quite a long time to regrow. Thus, Farmer John has built a set of drainage ditches so that Bessie's clover patch is never covered in water. Instead, the water is drained to a nearby stream. Being an ace engineer, Farmer John has also installed regulators at the beginning of each ditch, so he can control at what rate water flows into that ditch. Farmer John knows not only how many gallons of water each ditch can transport per minute but also the exact layout of the ditches, which feed out of the pond and into each other and stream in a potentially complex network. Given all this information, determine the maximum rate at which water can be transported out of the pond and into the stream. For any given ditch, water flows in only one direction, but there might be a way that water can flow in a circle.
为了拯救病人的生命,医生都要付出哪些行动?——他们甚至需要在病人的头骨钻孔并且把巨大的针头插入他们的大脑。 幸运的是,Duke大学的脑外科医生和工程师Andrew Cutler 以及 Shervin
Drainage Ditches Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others) Total Submission(s): 9580 Accepted Submission(s): 4541 Problem Description Every time it rains on Farmer John's fields, a pond forms over Bessie's
The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit (HU) data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the Federal Standards and Procedures for the National Watershed Boundary Dataset. Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. The intent of defining HUs for the WBD is to establish a baseline drainage boundary framework, accounting for all land and surface areas.
年度数据的分辨率为 0.0083333 X 0.0083333(赤道约 1 公里),覆盖 1992 年至 2018 年期间的全球数据。
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Xie, R. H. and A. H. Wang, 2020: Comparison of ten potential evapotranspiration models and their attribution analyses for ten Chinese drainage basins. Adv. Atmos. Sci., 37(9), 959−974, https://doi.org/10.1007/s00376-020-2105-0.
这里显示的数据是通过在800m²的网格单元内汇总当前USDA-NCSS的土壤调查数据(在没有SSURGO的地方用STATSGO回填)获得的。这种数据汇总技术导致地图可能与任何特定点的原始数据不一致,其目的是在全州范围内描述土壤属性的区域趋势。
Supplementary visualization layers for MERIT Hydro
https://github.com/open-mmlab/mmdetection
一道残阳铺水中,半江瑟瑟半江红。随着城市建设的迅速发展,每年都有大量新建管网水管通水运行。城市中有大量的排水设备,形成相应的城市排水系统,排水系统由检查井、排水泵站、污水处理厂、雨水口、排放口等等组成,排水设备中的检查井、雨水口、排放口等通过排水管网进行连接,日常的雨污水进入排水管网进行运输排放。目前,城市排水管网具有结构庞大,结构错综复杂等特点,现有技术中,对城市排水管网的监测、监控仍停留在大量依靠人工的模式,智能化水平,准确率都不能符合现有技术的需求。
请注意,本文编写于 1197 天前,最后修改于 74 天前,其中某些信息可能已经过时。
HydroLAKES v1.0 湖泊是生物地球化学和生态过程的关键组成部分,因此有关其分布、体积和停留时间的知识对于理解其特性和在地球系统中的相互作用至关重要。然而,全球信息匮乏,不同空间尺度和地区的信息也不一致。在这里,我们开发了一个地理统计模型,根据周围的地形信息,估计表面积至少为10公顷的全球湖泊的体积。
欧洲联盟(EU)的土地利用/覆盖面积框架调查(LUCAS)是为了提供统计信息而设立的。它是一项三年一次的原地土地覆盖和土地利用数据收集工作,涵盖了欧盟的全部领土。LUCAS收集了关于土地覆盖和土地利用、农业环境变量、土壤和草原的信息。这些调查还提供了空间信息,以分析农业、环境和农村之间的相互影响,如灌溉和土地管理。
The Land Use/Cover Area frame Survey (LUCAS) in the European Union (EU) was set up to provide statistical information. It represents a triennial in-situ landcover and land-use data-collection exercise that extends over the whole of the EU's territory. LUCAS collects information on land cover and land use, agro-environmental variables, soil, and grassland. The surveys also provide spatial information to analyse the mutual influences between agriculture, environment, and countryside, such as irrigation and land management.
本文档通过一些探索性数据分析来制定河流的评级曲线和流量预测。目的是利用 (1) 在底部安装单元的定期部署期间测量的瞬时流量和 (2) 来自长期部署在河流中的水位数据记录器的瞬时深度测量,以创建和更新评级曲线。额定曲线将用于计算 HOBO 压力传感器部署期间(大约 1 年)的流量。所得数据将用于创建和验证河流 10-15 年期间的回归和 DAR 流量估计。
Planet作为一家的航空航天和数据分析的综合性公司,运营着世界上最大的商业地球观测卫星群。Planet的数据和平台不仅面向商业应用,也深入研究和教育工作。
通过这1002个地理信息系统应用程序和应用程序,增强您的数据能力。(1)为你或你的学生寻找地理信息系统项目而苦苦挣扎时?(2)当有人问起地理信息系统到底能做什么时?(3)想让你的业务和服务多样化?经过一年的发展,以下是您最喜欢的GIS应用程序:
过去的 2018 年,我们认为是国内工业互联网可视化的元年,图扑软件作为在工业可视化领域的重度参与者,一线见证了众多 HTML5/Web 化、2D/3D 化的项目在工业界应用落地,我们觉得有必要在此分享下过去一年,基于 HT 实施的数百个工业互联网 2D 3D 可视化应用案例,希望能激发行业和学术工作者对可视化的深度思考,为推进国内工业互联网发展出份薄力。
请注意,本文编写于 1165 天前,最后修改于 1165 天前,其中某些信息可能已经过时。
看完人家的博客,发现任重道远。。。 一位高手对我的建议: 一般要做到50行以内的程序不用调试、100行以内的二分钟内调试成功.acm主要是考算法的,主要时间是花在思考算法上,不是花在写程序与debug上。 下面给个计划你练练: 第一阶段: 练经典常用算法,下面的每个算法给我打上十到二十遍,同时自己精简代码, 因为太常用,所以要练到写时不用想,10-15分钟内打完,甚至关掉显示器都可以把程序打 出来. 1.最短路(Floyd、Dijstra,BellmanFord) 2.最小生成树(先写个prim
【1】 Mortality in Germany during the Covid-19 pandemic 标题:德国冠状病毒大流行期间的死亡率
【1】 A Simplicial Model for KB4_n: Epistemic Logic with Agents that May Die标题:Kb4_n的单纯模型:具有可能死亡的主体的认知逻辑链接:https://arxiv.org/abs/2108.10293
【1】 Graph Attention Multi-Layer Perceptron 标题:图形注意多层感知器 链接:https://arxiv.org/abs/2108.10097
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