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相关概念视频

GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

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A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
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Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

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Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

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Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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Quality of Water01:19

Quality of Water

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In concrete preparation, the quality of water is paramount as it affects the strength and durability of the concrete. Potable water is usually preferred; however, it must not have excessive sodium or potassium to prevent compromising the concrete's integrity. Water quality is typically evaluated based on impurities such as dissolved solids, chlorides, and sulfates, and its pH value is ideally between 6 and 8. Even slightly acidic natural water may be acceptable unless it contains harmful...
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Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
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相关实验视频

Updated: Jan 8, 2026

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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一个改进的全球河流矢量数据集,基于多源河流数据的融合.

Yensen Liu1, Jianhua Wang1, Changjun Liu1

  • 1State Key Laboratory of Water Cycle and Water Security, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.

Scientific data
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概括
此摘要是机器生成的。

一个新的全球河流数据集,GSriver,通过融合OpenStreetMap,HydroRIVERS和GRIT数据,显著提高了空间准确性. 这种增强的数据集为水文和环境研究提供了更精确的河流系统表示.

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科学领域:

  • 水文学的水文学
  • 地理空间科学 地理空间科学
  • 环境科学 环境科学

背景情况:

  • 高精度的全球河流数据集对于水文和环境研究至关重要.
  • 现有的数据集经常表现出显著的空间不准确性,限制了它们的实用性.
  • 当前数据集的局限性需要改进全球河流绘图的方法.

研究的目的:

  • 开发一种新的多源向量河流数据融合框架,以生成具有拓信息的高空间精度全球河流数据集.
  • 为了解决现有的全球河流数据集的空间准确性限制.
  • 创建一个公开可用的,可扩展和具有成本效益的全球河流数据集.

主要方法:

  • 集成OpenStreetMap (OSM) 水道 (高分辨率,不完整的拓) 与HydroRIVERS.
  • 使用全球河流拓 (GRIT) 数据集来补充缺失的河流段.
  • 融合框架旨在保持完整的河流拓,同时提高空间精度.

主要成果:

  • 由此产生的数据集,GSriver,与MERIT,GRIT和HydroRIVERS相比,显著提高了空间准确性.
  • GSriver 的精度比 MERIT 的精度提高了 36.3%,比 GRIT 的精度提高了 40.7%,比 HydroRIVERS 的精度提高了 56.7%.
  • 超过40%的GSriver节点与高精度NHDPlus数据集的偏差小于10米.

结论:

  • 拟议的融合框架有效地利用众包数据 (OSM) 来克服传统的DEM衍生河流数据集的空间精度限制.
  • GSriver提供了一个可扩展和具有成本效益的解决方案,用于构建大规模,高精度的河流数据集.
  • 公开可用的GSriver数据集为推进水文和环境研究提供了宝贵的资源.