標(biāo)題: Titlebook: Distributed Hydrologic Modeling Using GIS; Baxter E. Vieux Book 2016Latest edition Springer Science+Business Media Dordrecht 2016 Distribu [打印本頁] 作者: 不友善 時(shí)間: 2025-3-21 16:28
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書目名稱Distributed Hydrologic Modeling Using GIS影響因子(影響力)學(xué)科排名
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書目名稱Distributed Hydrologic Modeling Using GIS網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Distributed Hydrologic Modeling Using GIS被引頻次
書目名稱Distributed Hydrologic Modeling Using GIS被引頻次學(xué)科排名
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書目名稱Distributed Hydrologic Modeling Using GIS年度引用學(xué)科排名
書目名稱Distributed Hydrologic Modeling Using GIS讀者反饋
書目名稱Distributed Hydrologic Modeling Using GIS讀者反饋學(xué)科排名
作者: Ointment 時(shí)間: 2025-3-21 21:33 作者: COUCH 時(shí)間: 2025-3-22 02:01
Book 2016Latest editionon have important effects on the hydrologic simulation of the major hydrologic components of a watershed, and the book provides examples illustrating how to represent a watershed with spatially distributed data along with the many pitfalls inherent in such an undertaking. Since the First and Second 作者: zonules 時(shí)間: 2025-3-22 08:04
Geospatial Data for Hydrology, area, or grid cell. Some data sources capture characteristics of the data in terms of measurement scale or sample volume. A rain gauge essentially measures rainfall at a point, whereas radar, satellites and other remote sensing techniques typically map the spatial variability over large geographic 作者: 清洗 時(shí)間: 2025-3-22 11:03 作者: facetious 時(shí)間: 2025-3-22 14:46
0921-092X of a watershed, and the book provides examples illustrating how to represent a watershed with spatially distributed data along with the many pitfalls inherent in such an undertaking. Since the First and Second 978-94-024-1439-4978-94-024-0930-7Series ISSN 0921-092X Series E-ISSN 1872-4663 作者: facetious 時(shí)間: 2025-3-22 17:36
Introduction to Physics-Based Distributed Hydrology, model parameters or inputs defining the hydrologic processes of surface and subsurface runoff. As soon as we embark on the simulation of hydrologic processes using GIS, the issues that are the subject of this book must be addressed.作者: ALIEN 時(shí)間: 2025-3-23 00:13
Infiltration,iguration as single or multiple layers, can affect the accuracy and reliability of hydrologic prediction. This chapter deals with deriving initial values of infiltration equation parameters from maps of soil properties.作者: arsenal 時(shí)間: 2025-3-23 04:26 作者: 連鎖 時(shí)間: 2025-3-23 07:57 作者: tenosynovitis 時(shí)間: 2025-3-23 13:03 作者: avulsion 時(shí)間: 2025-3-23 15:26
https://doi.org/10.1057/9780230253070.. Thus, it is more likely than not, such?parameters would require some adjustment. This chapter presents a method for calibrating a distributed model consistent with the conservation equations that underlie PBD models.作者: 詞匯記憶方法 時(shí)間: 2025-3-23 18:40 作者: 額外的事 時(shí)間: 2025-3-24 00:41 作者: 吸引力 時(shí)間: 2025-3-24 03:26
The Commonwealth of the Bahamastive of the land use/cover, at least as a starting point for calibration. Channel roughness will be seen to differ markedly from overland flow roughness coefficients and should be assigned based on channel characteristics rather than LULC. Deriving hydraulic roughness coefficients from land use classification schemes is the theme of this chapter.作者: 形狀 時(shí)間: 2025-3-24 06:34
https://doi.org/10.1057/9780230253070c approach to watershed modeling has advantages that make it possible to represent both local and main-stem flows with the same model setup and simultaneously. This integrated approach is useful for urban and natural watershed applications, reservoir inflow forecasting, flood prediction, and hydrologic analysis?of land use and climate change.作者: 植物群 時(shí)間: 2025-3-24 12:48
Surface Generation, than having a more natural distribution geographically. It is important to understand how these surfaces are generated and the influence of the resulting surface on hydrologic modeling. The subject of this chapter is the methods and pitfalls of interpolation.作者: Traumatic-Grief 時(shí)間: 2025-3-24 18:10
Hydraulic Roughness,tive of the land use/cover, at least as a starting point for calibration. Channel roughness will be seen to differ markedly from overland flow roughness coefficients and should be assigned based on channel characteristics rather than LULC. Deriving hydraulic roughness coefficients from land use classification schemes is the theme of this chapter.作者: medium 時(shí)間: 2025-3-24 21:04 作者: 加花粗鄙人 時(shí)間: 2025-3-25 02:33 作者: capsaicin 時(shí)間: 2025-3-25 05:05
https://doi.org/10.1057/9780230253070echarge. The objective of this chapter is to explore the model formulation and the geospatial data used to define topography, land use/cover, soils, and precipitation input within a physics-based distributed framework.作者: 拖債 時(shí)間: 2025-3-25 08:52 作者: 細(xì)絲 時(shí)間: 2025-3-25 13:02
Distributed Model Calibration,.. Thus, it is more likely than not, such?parameters would require some adjustment. This chapter presents a method for calibrating a distributed model consistent with the conservation equations that underlie PBD models.作者: 植物茂盛 時(shí)間: 2025-3-25 16:37
Case Studies in Distributed Hydrology, theme, namely each case study relies on high-resolution rainfall derived from radar and rain gauge; model parameters developed using geospatial data; and hydrologic predictions generated for analyzes spanning a range of space-time scales.作者: Homocystinuria 時(shí)間: 2025-3-25 22:53
The Statesman‘s Year-Book 1985-86 model parameters or inputs defining the hydrologic processes of surface and subsurface runoff. As soon as we embark on the simulation of hydrologic processes using GIS, the issues that are the subject of this book must be addressed.作者: 感情 時(shí)間: 2025-3-26 02:11 作者: 嬉耍 時(shí)間: 2025-3-26 04:50 作者: 輕信 時(shí)間: 2025-3-26 10:57 作者: 變色龍 時(shí)間: 2025-3-26 14:17
Introduction to Physics-Based Distributed Hydrology,les include maps describing slope and drainage direction, land use/cover, soil parameters such as porosity or hydraulic conductivity, rainfall, and meteorological variables controlling evapotranspiration. The subject of this book is how these maps of geospatial information can be harnessed to become作者: 凹處 時(shí)間: 2025-3-26 18:18 作者: 脫毛 時(shí)間: 2025-3-27 00:57 作者: LIMN 時(shí)間: 2025-3-27 04:18
Spatial Variability Measuring Information Content, for capturing the spatial variability of a parameter or input? The model computational elements, whether finite element or difference, require parameter values that are representative of the grid cell. The composite for the model should then be representative of the spatial variation found in the w作者: ENDOW 時(shí)間: 2025-3-27 06:11
Infiltration, areas poses a challenge to distributed watershed modeling. Accuracy may vary depending on how well the soil maps represent the soil and the hydrologic conditions controlling the process across scales from field to watershed. How the soil properties are represented in the distributed model, its conf作者: BARGE 時(shí)間: 2025-3-27 09:39
Hydraulic Roughness,ortant since land use/cover categories must be interpreted to yield a hydraulic parameter that governs the relationship between runoff depth and velocity. Despite what the map classification indicates, a more important aspect is the hydraulic roughness that runoff experiences as it flows over the la作者: superfluous 時(shí)間: 2025-3-27 15:29
Watersheds and Drainage Networks,ing the terrain and drainage network. Processing steps and DEM cell size affect the land surface slope, drainage network length and connectivity properties. Derived drainage networks and the hydraulic parameters used to represent the conveyance of runoff to the outlet of the river basin are dependen作者: 傻 時(shí)間: 2025-3-27 20:54
Distributed Precipitation Estimation,ts and therefore may not accurately reflect the spatial distribution of rainfall, especially from convective storms. Interest in using radar estimates of rainfall in distributed modeling comes from the desire to reduce errors due to imprecise knowledge of rainfall distribution in time and space. Tra作者: SLUMP 時(shí)間: 2025-3-27 22:00 作者: 吸氣 時(shí)間: 2025-3-28 03:24
Distributed Model Calibration,istributed model. As we have shown in previous chapters, the drainage length, slope, and other parameters extracted from DEMs and geospatial data are .. Thus, it is more likely than not, such?parameters would require some adjustment. This chapter presents a method for calibrating a distributed model作者: instill 時(shí)間: 2025-3-28 08:24 作者: 種類 時(shí)間: 2025-3-28 11:56 作者: infelicitous 時(shí)間: 2025-3-28 15:26
https://doi.org/10.1007/978-94-024-0930-7Distributed hydrologic modeling; GIS; Geographic Information Systems; Physics-based hydrology; Rainfall 作者: Iatrogenic 時(shí)間: 2025-3-28 21:32
978-94-024-1439-4Springer Science+Business Media Dordrecht 2016作者: Androgen 時(shí)間: 2025-3-29 01:14 作者: 安心地散步 時(shí)間: 2025-3-29 04:04
https://doi.org/10.1057/9780230271142/cover, soils and impervious areas and the derivative model parameters that govern the hydrologic processes of infiltration, evapotranspiration, and runoff. Geospatial data exist that can be harnessed for model setup. Digital representation of topography, soils, land use/cover, and precipitation may作者: EWER 時(shí)間: 2025-3-29 07:41 作者: mighty 時(shí)間: 2025-3-29 12:47
The Statesman‘s Year-Book 1985-86 for capturing the spatial variability of a parameter or input? The model computational elements, whether finite element or difference, require parameter values that are representative of the grid cell. The composite for the model should then be representative of the spatial variation found in the w作者: 類似思想 時(shí)間: 2025-3-29 15:50 作者: grenade 時(shí)間: 2025-3-29 21:31
The Commonwealth of the Bahamasortant since land use/cover categories must be interpreted to yield a hydraulic parameter that governs the relationship between runoff depth and velocity. Despite what the map classification indicates, a more important aspect is the hydraulic roughness that runoff experiences as it flows over the la作者: Antecedent 時(shí)間: 2025-3-30 02:00
https://doi.org/10.1057/9780230271142ing the terrain and drainage network. Processing steps and DEM cell size affect the land surface slope, drainage network length and connectivity properties. Derived drainage networks and the hydraulic parameters used to represent the conveyance of runoff to the outlet of the river basin are dependen作者: 的染料 時(shí)間: 2025-3-30 05:31 作者: Merited 時(shí)間: 2025-3-30 12:04
https://doi.org/10.1057/9780230253070loped spatial data analysis and management techniques of a GIS. Digital maps of soils, land use, topography, and rainfall are used to compute rainfall runoff in each grid cell in the drainage network. In principle, runoff generation caused by rainfall rates exceeding infiltration rates or soil profi
