標(biāo)題: Titlebook: Distributed Hydrologic Modeling Using GIS; Baxter E. Vieux Book 20042nd edition Springer Science+Business Media Dordrecht 2004 Filtration. [打印本頁] 作者: 灰塵 時(shí)間: 2025-3-21 20:06
書目名稱Distributed Hydrologic Modeling Using GIS影響因子(影響力)
書目名稱Distributed Hydrologic Modeling Using GIS影響因子(影響力)學(xué)科排名
書目名稱Distributed Hydrologic Modeling Using GIS網(wǎng)絡(luò)公開度
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
書目名稱Distributed Hydrologic Modeling Using GIS年度引用
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: Additive 時(shí)間: 2025-3-21 22:48
https://doi.org/10.1007/1-4020-2460-6Filtration; Infiltration; Precipitation; Rain; Scale; development; hydrology; hydrogeology作者: Contend 時(shí)間: 2025-3-22 03:38
978-94-017-4322-8Springer Science+Business Media Dordrecht 2004作者: 颶風(fēng) 時(shí)間: 2025-3-22 07:31 作者: bile648 時(shí)間: 2025-3-22 08:57 作者: Jubilation 時(shí)間: 2025-3-22 12:58 作者: Jubilation 時(shí)間: 2025-3-22 18:11 作者: Arctic 時(shí)間: 2025-3-22 21:16 作者: Accord 時(shí)間: 2025-3-23 02:12
https://doi.org/10.1057/9780230253070d the soil characteristics are usually done at point locations. Estimating infiltration from soil maps may be the only feasible alternative to making extensive measurements. In order to gain some idea of the spatial distribution of soil characteristics and infiltration over large areas, we must reso作者: 樣式 時(shí)間: 2025-3-23 07:39 作者: 豪華 時(shí)間: 2025-3-23 09:45 作者: defuse 時(shí)間: 2025-3-23 15:28
https://doi.org/10.1057/9780230253049oach is achieved through a . approach to ., which is a departure from traditional methods where runoff generation and routing are artificially separated. The mathematical analogy and numerical algorithms described are the foundation for modeling runoff at any location in a watershed..From a DEM, the作者: 雪白 時(shí)間: 2025-3-23 20:12
https://doi.org/10.1057/9780230253049logic quantities such as flow rates. Consequently, the response to parameter adjustment and interaction are predictable. Optimal values may be identified within suitable constraints, i.e., the spatial pattern of the parameter. If this spatial pattern is obtained from GIS/RS data, then we can adjust 作者: 籠子 時(shí)間: 2025-3-24 00:54 作者: PALL 時(shí)間: 2025-3-24 06:18
0921-092X uted context1. 5 REFERENCES 127 7 DIGITAL TERRAIN 129 1. 1 INTRODUCTION 129 1. 2 DRAINAGE NETWORK 130 1. 3 DEFINITION OF CHANNEL NETWORKS 135 1. 4 RESOLUTION DEPENDENT EFFECTS 138 1. 5 CONSTRAINING DRAINAGE DIRECTION 141 1. 6 SUMMARY 145 1. 7 REFERENCES 146 8 PRECIPITATION MEASUREMENT 149 1. 1 INTRO作者: Pruritus 時(shí)間: 2025-3-24 07:09
https://doi.org/10.1057/9780230253070on is expected within the mapping unit, uncertainty in the parameter value results. The amount of spatial detail in a soil map relative to a river basin has important consequences for the simulated hydrologic response.作者: 激勵(lì) 時(shí)間: 2025-3-24 13:12
https://doi.org/10.1057/9780230253049ar over rain gauge networks is the density of measurement. Combined use of radar and gauge networks produces more accurate precipitation measurements. Considering the importance of rainfall input to both distributed and lumped models, radar rainfall is proving to be a significant advance in hydrologic modeling.作者: 手榴彈 時(shí)間: 2025-3-24 16:50 作者: Obliterate 時(shí)間: 2025-3-24 21:10
Infiltration Modeling,on is expected within the mapping unit, uncertainty in the parameter value results. The amount of spatial detail in a soil map relative to a river basin has important consequences for the simulated hydrologic response.作者: 等待 時(shí)間: 2025-3-25 01:59
Precipitation Measurement,ar over rain gauge networks is the density of measurement. Combined use of radar and gauge networks produces more accurate precipitation measurements. Considering the importance of rainfall input to both distributed and lumped models, radar rainfall is proving to be a significant advance in hydrologic modeling.作者: 阻塞 時(shí)間: 2025-3-25 05:29
Finite Element Modeling,nd GIS maps of parameters with rainfall input, the runoff process is simulated from hillslope to the river basin. The next step is to produce runoff hydrographs and output maps of flow depth and cumulative infiltration that agree with observed hydrologic variables.作者: 清楚說話 時(shí)間: 2025-3-25 07:29
https://doi.org/10.1057/9780230253049ent observations notwithstanding, we have shown that an optimal solution does exist and that the PBD model can be calibrated. Discovery that an optimal parameter set exists for a PBD model is a major advance in hydrologic science.作者: dictator 時(shí)間: 2025-3-25 11:56 作者: 睨視 時(shí)間: 2025-3-25 18:12
Book 20042nd editionNDENT EFFECTS 138 1. 5 CONSTRAINING DRAINAGE DIRECTION 141 1. 6 SUMMARY 145 1. 7 REFERENCES 146 8 PRECIPITATION MEASUREMENT 149 1. 1 INTRODUCTION 149 1. 2 RAIN GAUGE ESTIMATION OF RAINFALL 151 ADAR STIMATION OF RECIPITATION 1. 3 R E P 155 1. 4 WSR-88D RADAR CHARACTERISTICS 167 1. 5 INPUT FOR HYDROLO作者: Femine 時(shí)間: 2025-3-25 22:16 作者: Loathe 時(shí)間: 2025-3-26 02:46
https://doi.org/10.1057/9780230253070optimal parameter set exists is a major advance in hydrologic science. As with the first edition, the scientific principles contained herein relate to the spatial variability, temporal and spatial resolution, information content, calibration, and application of a fully distributed physics-based dist作者: 同音 時(shí)間: 2025-3-26 08:08
https://doi.org/10.1057/9780230253070er maps, the parameter takes on the characteristic data structure of the original map. Thus, the data structure inherent in the original GIS map has lasting influence on the hydrologic process simulated using the derived parameters. In the following chapter we turn to the generation of surfaces from作者: 完成才能戰(zhàn)勝 時(shí)間: 2025-3-26 09:46 作者: BRINK 時(shí)間: 2025-3-26 14:26 作者: 僵硬 時(shí)間: 2025-3-26 17:18 作者: prediabetes 時(shí)間: 2025-3-27 00:58 作者: 法律的瑕疵 時(shí)間: 2025-3-27 03:32
Data Sources and Structure,er maps, the parameter takes on the characteristic data structure of the original map. Thus, the data structure inherent in the original GIS map has lasting influence on the hydrologic process simulated using the derived parameters. In the following chapter we turn to the generation of surfaces from作者: 使人煩燥 時(shí)間: 2025-3-27 05:40 作者: MEET 時(shí)間: 2025-3-27 10:19 作者: Guaff豪情痛飲 時(shí)間: 2025-3-27 13:42 作者: abracadabra 時(shí)間: 2025-3-27 18:05 作者: 和平主義者 時(shí)間: 2025-3-27 23:44
Distributed Hydrologic Modeling,IS. Depending on the reader’s interest, the techniques described should have wider application than just the subset of hydrologic processes that are addressed in the following chapters. The objective of this book is to present scientific principles of distributed hydrologic modeling. In an effort to作者: LUDE 時(shí)間: 2025-3-28 02:43
Data Sources and Structure, the watershed and runoff processes. GIS data often lacks sufficient detail, space-time resolution, attributes, or differs in some fundamental way from how the model expects the character of the parameter and how the parameter is measured. Existing data sources are often surrogate measures that atte作者: alcohol-abuse 時(shí)間: 2025-3-28 08:13
Spatial Variability,oped a measure of spital variability called information content adapted from communication theory. It is easily applied to a map of parameters to gauge the effects of resolution or other filters. If information content is not lost as we increase cell size, we may be able to use coarser resolution ma作者: 團(tuán)結(jié) 時(shí)間: 2025-3-28 14:20
Infiltration Modeling,d the soil characteristics are usually done at point locations. Estimating infiltration from soil maps may be the only feasible alternative to making extensive measurements. In order to gain some idea of the spatial distribution of soil characteristics and infiltration over large areas, we must reso作者: BRACE 時(shí)間: 2025-3-28 15:05 作者: Ganglion-Cyst 時(shí)間: 2025-3-28 22:12
Precipitation Measurement, representative rainfall over a watershed. Understanding how radar measures rainfall requires a probabilistic view of rainfall that describes the distribution of drop sizes per unit volume of the atmosphere. Both radar reflectivity and rainfall rate are sensitive to drop size distributions. The rela
