Land Use and Water Quality
Material type:
ArticleLanguage: English Publication details: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020Description: 1 electronic resource (248 p.)ISBN: - books978-3-03943-504-3
- 9783039435036
- 9783039435043
- Research & information: general
- Environmental economics
- nitrate
- groundwater
- source apportionment
- modelling
- nitrogen sources
- leachate rate
- water quality
- machine learning
- recurrent neural network
- PCA
- DST
- software
- model
- drinking water
- diffuse pollution
- catchment management
- farm management
- farm advisors
- agricultural impact
- stream
- nitrogen concentration
- nitrogen losses
- eutrophication
- N sources
- spatiotemporal patterns of pollution
- N transport processes
- Qiandao Lake Basin
- fertilization
- stream water pollution
- land use pattern
- scale effect
- redundancy analysis
- urbanization
- nitrogen budget
- nitrogen balance
- water pollution
- nitrates
- agriculture
- deficit analysis
- phosphorus
- inland surface waters
- Water Framework Directive
- LAWA
- Schleswig-Holstein
- climate change
- land management
- extreme weather events
- concentration-discharge relationship
- export behaviour
- hysteresis
- lag times
- link indicator
- DPLSIR framework
- land use
- nutrients
- surplus
- management
- mitigation measures
- monitoring and mapping technologies
| Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
Electronic-Books
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OPJGU Sonepat- Campus | E-Books Open Access | Available |
Open Access star Unrestricted online access
This collection of 11 papers introduces broad topics covering various professional disciplines related to the research arena of land use and water quality. The papers exemplify the important links between agriculture and water quality in surface and ground waters as well as the pollution problems around urban areas. Advancement of new technologies for analyzing links between land use and water quality problems as well as insights into new tools for analyzing large monitoring datasets are highlighted in this collection of papers.
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