Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Response of Non-point Source Pollution Loads to Land Use Change under Different Precipitation Scenarios from a Future Perspective
by
Bai, Xiaoyan
, Wang, Peng
, He, Yanhu
, Chen, Xiaohong
, Shen, Wen
in
Atmospheric Sciences
/ Cellular automata
/ Changing environments
/ Civil Engineering
/ Cultivated lands
/ Distribution patterns
/ Earth and Environmental Science
/ Earth Sciences
/ Environment
/ Environmental management
/ Fertilizers
/ Geotechnical Engineering & Applied Earth Sciences
/ Hydrogeology
/ Hydrology
/ Hydrology/Water Resources
/ Land pollution
/ Land use
/ Load
/ Loads (forces)
/ Nonpoint source pollution
/ Point source pollution
/ Pollutant load
/ Pollution control
/ Pollution load
/ Pollution sources
/ Precipitation
/ Quality management
/ Regression analysis
/ Regression models
/ River basins
/ Spatial distribution
/ Trends
/ Water pollution
/ Water quality
2020
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Response of Non-point Source Pollution Loads to Land Use Change under Different Precipitation Scenarios from a Future Perspective
by
Bai, Xiaoyan
, Wang, Peng
, He, Yanhu
, Chen, Xiaohong
, Shen, Wen
in
Atmospheric Sciences
/ Cellular automata
/ Changing environments
/ Civil Engineering
/ Cultivated lands
/ Distribution patterns
/ Earth and Environmental Science
/ Earth Sciences
/ Environment
/ Environmental management
/ Fertilizers
/ Geotechnical Engineering & Applied Earth Sciences
/ Hydrogeology
/ Hydrology
/ Hydrology/Water Resources
/ Land pollution
/ Land use
/ Load
/ Loads (forces)
/ Nonpoint source pollution
/ Point source pollution
/ Pollutant load
/ Pollution control
/ Pollution load
/ Pollution sources
/ Precipitation
/ Quality management
/ Regression analysis
/ Regression models
/ River basins
/ Spatial distribution
/ Trends
/ Water pollution
/ Water quality
2020
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Response of Non-point Source Pollution Loads to Land Use Change under Different Precipitation Scenarios from a Future Perspective
by
Bai, Xiaoyan
, Wang, Peng
, He, Yanhu
, Chen, Xiaohong
, Shen, Wen
in
Atmospheric Sciences
/ Cellular automata
/ Changing environments
/ Civil Engineering
/ Cultivated lands
/ Distribution patterns
/ Earth and Environmental Science
/ Earth Sciences
/ Environment
/ Environmental management
/ Fertilizers
/ Geotechnical Engineering & Applied Earth Sciences
/ Hydrogeology
/ Hydrology
/ Hydrology/Water Resources
/ Land pollution
/ Land use
/ Load
/ Loads (forces)
/ Nonpoint source pollution
/ Point source pollution
/ Pollutant load
/ Pollution control
/ Pollution load
/ Pollution sources
/ Precipitation
/ Quality management
/ Regression analysis
/ Regression models
/ River basins
/ Spatial distribution
/ Trends
/ Water pollution
/ Water quality
2020
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Response of Non-point Source Pollution Loads to Land Use Change under Different Precipitation Scenarios from a Future Perspective
Journal Article
Response of Non-point Source Pollution Loads to Land Use Change under Different Precipitation Scenarios from a Future Perspective
2020
Request now
and choose the collection method
Overview
To optimize the management of non-point source (NPS) pollution in a changing environment, the cellular automata (CA) and Hydrological Simulation Program-Fortran (HSPF) models were used to study the response mechanism of NPS pollution loads to land use change and different precipitation scenarios. Taking the Dongjiang River Basin as a case study, the land use situation and its spatial distribution patterns in 2020, 2030 and 2050 were predicted by the logistic regression-based CA model. The trends of the NPS pollution loads under different land use and precipitation scenarios were quantitatively evaluated. The results show that the total accuracy of the land use change simulated by the CA model was 81%. Both the HSPF model and the CA model were highly applicable to this basin. Precipitation is proven to be the main driving force of NPS pollution. From 2020 to 2050, the annual load, average monthly load, maximum and minimum monthly load of the BOD and TP show an upward trend. TN shows a slight downward trend, which is related to the reduction in cultivated land area and the use of nitrogen fertilizer. In view of the future trend of NPS pollution, the basin should continue to control TN pollution and focus on strengthening BOD and TP control to achieve high-quality management of the water environment.
Publisher
Springer Netherlands,Springer Nature B.V
This website uses cookies to ensure you get the best experience on our website.