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Python for water and environment

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Python for water and environment/ by Anil Kumar, Manabendra Saharia.
作者:	Anil Kumar.
其他作者:	Saharia, Manabendra.
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xix, 288 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	Data Analysis in the Water and Environment -- Python Environment and Basics -- Python Essentials -- Exploratory Analysis of Hydrological Data -- Graphical Hydrological Data Analysis -- Curve Fitting and Regression Analysis -- Hydrological Time Series Analysis -- Common Hypothesis Testing -- Uncertainty Estimation -- Introduction -- Surface Flow Models -- Subsurface Flow Models -- Transport Phenomena -- Contaminant Transport Models -- Conclusion.
Contained By:	Springer Nature eBook
標題:	Hydrology - Computer simulation. -
電子資源:	https://doi.org/10.1007/978-981-99-9408-3
ISBN:	9789819994083

Python for water and environment
Anil Kumar.

Python for water and environment[electronic resource] /by Anil Kumar, Manabendra Saharia. - Singapore :Springer Nature Singapore :2024. - xix, 288 p. :ill. (chiefly col.), digital ;24 cm. - Innovations in sustainable technologies and computing,2731-8818. - Innovations in sustainable technologies and computing..

Data Analysis in the Water and Environment -- Python Environment and Basics -- Python Essentials -- Exploratory Analysis of Hydrological Data -- Graphical Hydrological Data Analysis -- Curve Fitting and Regression Analysis -- Hydrological Time Series Analysis -- Common Hypothesis Testing -- Uncertainty Estimation -- Introduction -- Surface Flow Models -- Subsurface Flow Models -- Transport Phenomena -- Contaminant Transport Models -- Conclusion.

This textbook delves into the practical applications of surface and groundwater hydrology, as well as the environment. The Part I, "Practical Python for a Water and Environment Professional," guides readers through setting up a scientific computing environment and conducting exploratory data analysis and visualization using reproducible workflows. The Part II, "Statistical Modeling in Hydrology," covers regression models, time series analysis, and common hypothesis testing. The Part III, "Surface and Subsurface Water," illustrates the use of Python in understanding key concepts related to seepage, groundwater, and surface water flows. Lastly, the Part IV, "Environmental Applications," demonstrates the application of Python in the study of various contaminant transport phenomena.

ISBN: 9789819994083

Standard No.: 10.1007/978-981-99-9408-3doiSubjects--Topical Terms:

924161
Hydrology
--Computer simulation.

LC Class. No.: GB656.2.C63

Dewey Class. No.: 551.480285

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