-
1
-
-
0031549460
-
Nitrate concentrations in Riyadh, Saudi Arabia drinking water supplies
-
Alabdula’aly AI (1997) Nitrate concentrations in Riyadh, Saudi Arabia drinking water supplies. Environ Monit Assess 47(3):315–324 DOI: 10.1023/A:1005756904710
-
(1997)
Environ Monit Assess
, vol.47
, Issue.3
, pp. 315-324
-
-
Alabdula’aly, A.I.1
-
3
-
-
0029412407
-
Monitoring pesticide and nitrate in Virginia’s groundwater—a pilot study
-
Bruggeman AC, Mostaghimi S, Holtzman GI, Shanholz VO, Shukla S, Ross BB (1995) Monitoring pesticide and nitrate in Virginia’s groundwater—a pilot study. Trans ASAE 38(3):797–807 DOI: 10.13031/2013.27894
-
(1995)
Trans ASAE
, vol.38
, Issue.3
, pp. 797-807
-
-
Bruggeman, A.C.1
Mostaghimi, S.2
Holtzman, G.I.3
Shanholz, V.O.4
Shukla, S.5
Ross, B.B.6
-
4
-
-
0022266419
-
Modelling non-point sources of nitrate pollution of groundwater in the Great Ouse Chalk, U.K
-
Carey MA, Lloyd JW (1985) Modelling non-point sources of nitrate pollution of groundwater in the Great Ouse Chalk, U.K. J Hydrol 78(1–2):83–106 DOI: 10.1016/0022-1694(85)90155-6
-
(1985)
J Hydrol
, vol.78
, Issue.1-2
, pp. 83-106
-
-
Carey, M.A.1
Lloyd, J.W.2
-
5
-
-
77954151133
-
Validation of an artificial neural network model for landslide susceptibility mapping
-
Choi J, Oh HJ, Won JS, Lee S (2010) Validation of an artificial neural network model for landslide susceptibility mapping. Environ Earth Sci 60(3):473–483 DOI: 10.1007/s12665-009-0188-0
-
(2010)
Environ Earth Sci
, vol.60
, Issue.3
, pp. 473-483
-
-
Choi, J.1
Oh, H.J.2
Won, J.S.3
Lee, S.4
-
6
-
-
85050933599
-
Determination of nitrate concentration in groundwater in agricultural area in Babol County
-
Ehteshami M, Biglarijoo N (2014) Determination of nitrate concentration in groundwater in agricultural area in Babol County. Iran J Health Sci 2(4):1–9
-
(2014)
Iran J Health Sci
, vol.2
, Issue.4
, pp. 1-9
-
-
Ehteshami, M.1
Biglarijoo, N.2
-
7
-
-
84929157926
-
Simulation of nitrate contamination in groundwater caused by livestock industry (case study: Rey)
-
Ehteshami M, Sefidkar Langeroudi A, Tavassoli S (2013) Simulation of nitrate contamination in groundwater caused by livestock industry (case study: Rey). J Environ Prot 4(7A):91–97 DOI: 10.4236/jep.2013.47A011
-
(2013)
J Environ Prot
, vol.4
, Issue.7A
, pp. 91-97
-
-
Ehteshami, M.1
Sefidkar Langeroudi, A.2
Tavassoli, S.3
-
8
-
-
0003638838
-
Managing nitrogen for groundwater quality and farm profitability: Overview and introduction
-
Follett RF, Kenney DR, Cruse RM, Proceedings of a symposium. Soil Science Society of America, Madison, Wisconsin
-
Follett RF, Keeney DR, Cruse RM (1991) Managing nitrogen for groundwater quality and farm profitability: overview and introduction. In: Follett RF, Kenney DR, Cruse RM (eds) Managing nitrogen for groundwater quality and farm profitability. Proceedings of a symposium. Soil Science Society of America, Madison, Wisconsin, pp 1–7
-
(1991)
Managing Nitrogen for Groundwater Quality and Farm Profitability
, pp. 1-7
-
-
Follett, R.F.1
Keeney, D.R.2
Cruse, R.M.3
-
10
-
-
84890408305
-
Nitrogen speciation and trends, and prediction of denitrification extent, in shallow US groundwater
-
Hinkle SR, Tesoriero AJ (2014) Nitrogen speciation and trends, and prediction of denitrification extent, in shallow US groundwater. J Hydrol 509:343–353 DOI: 10.1016/j.jhydrol.2013.11.048
-
(2014)
J Hydrol
, vol.509
, pp. 343-353
-
-
Hinkle, S.R.1
Tesoriero, A.J.2
-
11
-
-
79956061202
-
Spatial distribution pattern analysis of groundwater nitrate nitrogen pollution in Shandong intensive farming regions of China using neural network method
-
Huang J, Xu J, Liu X, Liu J, Wang L (2011) Spatial distribution pattern analysis of groundwater nitrate nitrogen pollution in Shandong intensive farming regions of China using neural network method. Math Comput Model 54(3):995–1004 DOI: 10.1016/j.mcm.2010.11.027
-
(2011)
Math Comput Model
, vol.54
, Issue.3
, pp. 995-1004
-
-
Huang, J.1
Xu, J.2
Liu, X.3
Liu, J.4
Wang, L.5
-
12
-
-
0031106314
-
Strategies and best practice for neural network image classification
-
Kanellopoulos I, Wilkinson G (1997) Strategies and best practice for neural network image classification. Int J Remote Sens 18(4):711–725 DOI: 10.1080/014311697218719
-
(1997)
Int J Remote Sens
, vol.18
, Issue.4
, pp. 711-725
-
-
Kanellopoulos, I.1
Wilkinson, G.2
-
13
-
-
0026826901
-
Nitrate risk management under uncertainty
-
Lee YW, Dahab MF, Bogardi I (1992) Nitrate risk management under uncertainty. J Water Resour Plan Manag 118(2):151–165 DOI: 10.1061/(ASCE)0733-9496(1992)118:2(151)
-
(1992)
J Water Resour Plan Manag
, vol.118
, Issue.2
, pp. 151-165
-
-
Lee, Y.W.1
Dahab, M.F.2
Bogardi, I.3
-
14
-
-
84990571875
-
The application of neural networks and a qualitative response model to the auditor’s going concern uncertainty decision
-
Lenard MJ, Alam P, Madey GR (1995) The application of neural networks and a qualitative response model to the auditor’s going concern uncertainty decision. Decis Sci 26(2):209–227 DOI: 10.1111/j.1540-5915.1995.tb01426.x
-
(1995)
Decis Sci
, vol.26
, Issue.2
, pp. 209-227
-
-
Lenard, M.J.1
Alam, P.2
Madey, G.R.3
-
15
-
-
0034749386
-
Multicomponent simulation of wastewater-derived nitrogen and carbon in shallow unconfined aquifers: II. Model application to a field site
-
MacQuarrie KT, Sudicky EA, Robertson WD (2001) Multicomponent simulation of wastewater-derived nitrogen and carbon in shallow unconfined aquifers: II. Model application to a field site. J Contam Hydrol 47(1):85–104 DOI: 10.1016/S0169-7722(00)00138-8
-
(2001)
J Contam Hydrol
, vol.47
, Issue.1
, pp. 85-104
-
-
MacQuarrie, K.T.1
Sudicky, E.A.2
Robertson, W.D.3
-
16
-
-
0032051569
-
The effect of internal parameters and geometry on the performance of back-propagation neural networks: an empirical study
-
Maier HR, Dandy GC (1998) The effect of internal parameters and geometry on the performance of back-propagation neural networks: an empirical study. Environ Model Softw 13(2):193–209 DOI: 10.1016/S1364-8152(98)00020-6
-
(1998)
Environ Model Softw
, vol.13
, Issue.2
, pp. 193-209
-
-
Maier, H.R.1
Dandy, G.C.2
-
17
-
-
74849107222
-
A neural network based urban growth model of an Indian city
-
Maithani S (2009) A neural network based urban growth model of an Indian city. J Indian Soc Remote Sens 37(3):363–376 DOI: 10.1007/s12524-009-0041-7
-
(2009)
J Indian Soc Remote Sens
, vol.37
, Issue.3
, pp. 363-376
-
-
Maithani, S.1
-
19
-
-
85086782599
-
Estimating the spatial distribution ofgroundwater quality parameters of Kashan plain with integration method of geostatistics–artificial neural network optimized by genetic-algorithm
-
Moasheri SA, Rezapour OM, Beyranvand Z, Poornoori Z (2013) Estimating the spatial distribution ofgroundwater quality parameters of Kashan plain with integration method of geostatistics–artificial neural network optimized by genetic-algorithm. Int J Agric Crop Sci 5(20):2434–2442
-
(2013)
Int J Agric Crop Sci
, vol.5
, Issue.20
, pp. 2434-2442
-
-
Moasheri, S.A.1
Rezapour, O.M.2
Beyranvand, Z.3
Poornoori, Z.4
-
20
-
-
3142538909
-
Improved streamflow forecasting using self-organizing radial basis function artificial neural networks
-
Moradkhani H, Kl Hsu, Gupta HV, Sorooshian S (2004) Improved streamflow forecasting using self-organizing radial basis function artificial neural networks. J Hydrol 205(1):246–262 DOI: 10.1016/j.jhydrol.2004.03.027
-
(2004)
J Hydrol
, vol.205
, Issue.1
, pp. 246-262
-
-
Moradkhani, H.1
Kl, H.2
Gupta, H.V.3
Sorooshian, S.4
-
21
-
-
0029415649
-
A review and analysis of backpropagation neural networks for classification of remotely sensed multispectral imagery
-
Paola JD, Schowengerdt RA (1995) A review and analysis of backpropagation neural networks for classification of remotely sensed multispectral imagery. Int J Remote Sens 16(16):3033–3058 DOI: 10.1080/01431169508954607
-
(1995)
Int J Remote Sens
, vol.16
, Issue.16
, pp. 3033-3058
-
-
Paola, J.D.1
Schowengerdt, R.A.2
-
22
-
-
84990585716
-
Two-group classification using neural networks
-
Patuwo E, Hu MY, Hung MS (1993) Two-group classification using neural networks. Decis Sci 24(4):825–845 DOI: 10.1111/j.1540-5915.1993.tb00491.x
-
(1993)
Decis Sci
, vol.24
, Issue.4
, pp. 825-845
-
-
Patuwo, E.1
Hu, M.Y.2
Hung, M.S.3
-
23
-
-
0028448573
-
A classification approach using multi-layered neural networks
-
Piramuthu S, Shaw MJ, Gentry JA (1994) A classification approach using multi-layered neural networks. Decis Support Syst 11(5):509–525 DOI: 10.1016/0167-9236(94)90022-1
-
(1994)
Decis Support Syst
, vol.11
, Issue.5
, pp. 509-525
-
-
Piramuthu, S.1
Shaw, M.J.2
Gentry, J.A.3
-
25
-
-
0034174354
-
Neural Networks for Agrichemical Vulnerability Assessment of Rural Private Wells
-
Ray C, Klindworth KK (2000) Neural Networks for Agrichemical Vulnerability Assessment of Rural Private Wells. J Hydrol Eng 5(2):162–171 DOI: 10.1061/(ASCE)1084-0699(2000)5:2(162)
-
(2000)
J Hydrol Eng
, vol.5
, Issue.2
, pp. 162-171
-
-
Ray, C.1
Klindworth, K.K.2
-
26
-
-
53149117415
-
Nitrate attenuation in groundwater: a review of biogeochemical controlling processes
-
Rivett MO, Buss SR, Morgan P, Smith JW, Bemment CD (2008) Nitrate attenuation in groundwater: a review of biogeochemical controlling processes. Water Res 42(16):4215–4232 DOI: 10.1016/j.watres.2008.07.020
-
(2008)
Water Res
, vol.42
, Issue.16
, pp. 4215-4232
-
-
Rivett, M.O.1
Buss, S.R.2
Morgan, P.3
Smith, J.W.4
Bemment, C.D.5
-
27
-
-
13744256757
-
Pesticide prediction in ground water in North Carolina domestic wells using artificial neural networks
-
Sahoo G, Ray C, Wade H (2005) Pesticide prediction in ground water in North Carolina domestic wells using artificial neural networks. Ecol Model 183(1):29–46 DOI: 10.1016/j.ecolmodel.2004.07.021
-
(2005)
Ecol Model
, vol.183
, Issue.1
, pp. 29-46
-
-
Sahoo, G.1
Ray, C.2
Wade, H.3
-
28
-
-
84939429345
-
Simulation, evaluation and prediction modeling of river water quality properties (case study: Ireland Rivers)
-
Salami ES, Ehteshami M (2015) Simulation, evaluation and prediction modeling of river water quality properties (case study: Ireland Rivers). Int J Eng Sci Technol 12(10):3235–3242. doi:10.1007/s13762-015-0800-7
-
(2015)
Int J Eng Sci Technol
, vol.12
, Issue.10
, pp. 3235-3242
-
-
Salami, E.S.1
Ehteshami, M.2
-
29
-
-
84954518100
-
Application of artificial neural networks to estimating DO and salinity in San Joaquin River basin
-
Salami ES, Ehteshami M (2016) Application of artificial neural networks to estimating DO and salinity in San Joaquin River basin. Desalin Water Treat 57(11):4888–4897. doi:10.1080/19443994.2014.995713 DOI: 10.1080/19443994.2014.995713
-
(2016)
Desalin Water Treat
, vol.57
, Issue.11
, pp. 4888-4897
-
-
Salami, E.S.1
Ehteshami, M.2
-
30
-
-
0742323231
-
Neural networks for predicting nitrate-nitrogen in drainage water
-
Sharma V, Negi SC, Rudra RP, Yang S (2003) Neural networks for predicting nitrate-nitrogen in drainage water. Agric Water Manag 63(3):169–183 DOI: 10.1016/S0378-3774(03)00159-8
-
(2003)
Agric Water Manag
, vol.63
, Issue.3
, pp. 169-183
-
-
Sharma, V.1
Negi, S.C.2
Rudra, R.P.3
Yang, S.4
-
31
-
-
0024825509
-
Nitrate pollution of groundwater in western Europe
-
Strebel O, Duynisveld W, Böttcher J (1989) Nitrate pollution of groundwater in western Europe. Agric Ecosyst Environ 26(3):189–214 DOI: 10.1016/0167-8809(89)90013-3
-
(1989)
Agric Ecosyst Environ
, vol.26
, Issue.3
, pp. 189-214
-
-
Strebel, O.1
Duynisveld, W.2
Böttcher, J.3
-
32
-
-
0344035546
-
Evaluation of neural networks for modeling nitrate concentrations in rivers
-
Suen J, Eheart J (2003) Evaluation of neural networks for modeling nitrate concentrations in rivers. J Water Resour Plan Manag 129(6):505–510 DOI: 10.1061/(ASCE)0733-9496(2003)129:6(505)
-
(2003)
J Water Resour Plan Manag
, vol.129
, Issue.6
, pp. 505-510
-
-
Suen, J.1
Eheart, J.2
-
33
-
-
0000596894
-
Groundwater quality near two cattle feedlots in Texas High Plains: a case study
-
Sweeten J, Marek T, McReynolds D (1995) Groundwater quality near two cattle feedlots in Texas High Plains: a case study. Appl Eng Agric 11(6):845–850 DOI: 10.13031/2013.25812
-
(1995)
Appl Eng Agric
, vol.11
, Issue.6
, pp. 845-850
-
-
Sweeten, J.1
Marek, T.2
McReynolds, D.3
-
36
-
-
0028034630
-
The use of artificial neural networks in a geographical information system for agricultural land-suitability assessment
-
Wang F (1994) The use of artificial neural networks in a geographical information system for agricultural land-suitability assessment. Environ and Plan A 26(2):265–284 DOI: 10.1068/a260265
-
(1994)
Environ and Plan A
, vol.26
, Issue.2
, pp. 265-284
-
-
Wang, F.1
-
37
-
-
84895743002
-
Groundwater flow path dynamics and nitrogen transport potential in the riparian zone of an agricultural headwater catchment
-
Williams MR, Buda AR, Elliott HA, Hamlett J, Boyer EW, Schmidt JP (2014) Groundwater flow path dynamics and nitrogen transport potential in the riparian zone of an agricultural headwater catchment. J Hydrol 511:870–879 DOI: 10.1016/j.jhydrol.2014.02.033
-
(2014)
J Hydrol
, vol.511
, pp. 870-879
-
-
Williams, M.R.1
Buda, A.R.2
Elliott, H.A.3
Hamlett, J.4
Boyer, E.W.5
Schmidt, J.P.6
-
38
-
-
0036010873
-
Reactive nitrogen and human health: acute and long-term implications
-
Wolfe AH, Patz JA (2002) Reactive nitrogen and human health: acute and long-term implications. AMBIO J Hum Environ 31(2):120–125 DOI: 10.1579/0044-7447-31.2.120
-
(2002)
AMBIO J Hum Environ
, vol.31
, Issue.2
, pp. 120-125
-
-
Wolfe, A.H.1
Patz, J.A.2
-
39
-
-
0033107134
-
Applications of neural networks to simulate soil-tool interaction and soil behavior
-
Zhang ZX, Kushwaha RL (1999) Applications of neural networks to simulate soil-tool interaction and soil behavior. Can Agric Eng 41(2):119–125
-
(1999)
Can Agric Eng
, vol.41
, Issue.2
, pp. 119-125
-
-
Zhang, Z.X.1
Kushwaha, R.L.2
|