𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Using of neural networks for the prediction of nitrate groundwater contamination in rural and agricultural areas

✍ Scribed by Khamis Al-Mahallawi; Jacky Mania; Azzedine Hani; Isam Shahrour


Book ID
107682773
Publisher
Springer-Verlag
Year
2011
Tongue
English
Weight
692 KB
Volume
65
Category
Article
ISSN
1866-6280

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Spatial prediction of nitrate pollution
✍ Dr A. Gemitzi; C. Petalas; V. Pisinaras; V. A. Tsihrintzis πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 949 KB

## Abstract Neural network techniques combined with Geographical Information Systems (GIS), are used in the spatial prediction of nitrate pollution in groundwaters. Initially, the most important parameters controlling groundwater pollution by nitrates are determined. These include hydraulic conduct

Characteristics of organic matter as ind
✍ Rak-Hyeon Kim; Jeongho Lee; Ho-Wan Chang πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 338 KB

## Abstract The main purpose of this study was to examine the hydrogeochemical factors leading to nitrate contamination of shallow groundwater in an agricultural area. Another purpose was to identify relationships between variations in organic matter levels (as estimated by the BOD and COD paramete

A simulation and prediction of agricultu
✍ Xuesen Mao; Jinsheng Jia; Changming Liu; Zhimin Hou πŸ“‚ Article πŸ“… 2005 πŸ› John Wiley and Sons 🌐 English βš– 684 KB

## Abstract Declining groundwater levels caused by irrigation is the main problem for agricultural development in Northern China. Due to both economics and increased population, surface water has become almost non‐existent and groundwater is the only water resource left. Currently the groundwater i