Mitigating environmental risks: Modeling the interaction of water quality parameters and land use cover
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F. Witlox | K. Gebrehiwot | H. Azadi | M. Gholamalifard | S. M. Moghaddam | M. Mirzaei | A. Jafari | Sharif Joorabian Shooshtari | S. J. Shooshtari
[1] R. Ayers,et al. Irrigation water quality criteria , 1985 .
[2] S. Lek,et al. Predicting stream nitrogen concentration from watershed features using neural networks , 1999 .
[3] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[4] R. O'Neill,et al. Predicting nutrient and sediment loadings to streams from landscape metrics: A multiple watershed study from the United States Mid-Atlantic Region , 2001, Landscape Ecology.
[5] R. Tauler,et al. Identification and distribution of contamination sources in the Ebro river basin by chemometrics modelling coupled to geographical information systems. , 2006, Talanta.
[6] N. Jarvis. A review of non‐equilibrium water flow and solute transport in soil macropores: principles, controlling factors and consequences for water quality , 2007 .
[7] M. Bahar,et al. Relationship between river water quality and land use in a small river basin running through the urbanizing area of Central Japan , 2008, Limnology.
[8] Qingzhong Liu,et al. Predicting injection profiles using ANFIS , 2007, Inf. Sci..
[9] S. Shrestha,et al. Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan , 2007, Environ. Model. Softw..
[10] K. Abbaspour,et al. Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT , 2007 .
[11] Siyue Li,et al. Water quality in relation to land use and land cover in the upper Han River Basin, China , 2008 .
[12] C. Shu,et al. Regional flood frequency analysis at ungauged sites using the adaptive neuro-fuzzy inference system , 2008 .
[13] Maryam Abbasi,et al. Results uncertainty of solid waste generation forecasting by hybrid of wavelet transform-ANFIS and wavelet transform-neural network , 2009, Expert Syst. Appl..
[14] B. Amiri,et al. Modeling the Linkage Between River Water Quality and Landscape Metrics in the Chugoku District of Japan , 2009 .
[15] Dawei Han,et al. Evaporation Estimation Using Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference System Techniques , 2009 .
[16] Lazaros S. Iliadis,et al. Hydrological Neural Modeling Aided by Support Vector Machines , 2009, AIAI Workshops.
[17] Soon-Jin Hwang,et al. Landscape ecological approach to the relationships of land use patterns in watersheds to water quality characteristics , 2009 .
[18] I. Delpla,et al. Impacts of climate change on surface water quality in relation to drinking water production. , 2009, Environment international.
[19] R. Noori,et al. Multivariate statistical analysis of surface water quality based on correlations and variations in the data set , 2010 .
[20] Derek R. Shiels. Implementing landscape indices to predict stream water quality in an agricultural setting: An assessment of the Lake and River Enhancement (LARE) protocol in the Mississinewa River watershed, East-Central Indiana , 2010 .
[21] S. M. Mazloumzadeh,et al. Irrigation water quality evaluation using adaptive network-based fuzzy inference system , 2010, Paddy and Water Environment.
[22] Landscape metrics as a tool for evaluating scenarios for flood prevention and nature conservation , 2011 .
[23] R. Pontius,et al. Detecting the Dynamic Linkage between Landscape Characteristics and Water Quality in a Subtropical Coastal Watershed, Southeast China , 2011, Environmental Management.
[24] Yuncong C. Li,et al. Land use disturbance indicators and water quality variability in the Biscayne Bay Watershed, Florida , 2011 .
[25] Dawei Han,et al. Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward selection techniques for monthly stream flow prediction , 2011 .
[26] Ahmed El-Shafie,et al. An application of different artificial intelligences techniques for water quality prediction , 2011 .
[27] Renzhi Liu,et al. Correlation Analysis of Landscape Pattern and Water Quality in Baiyangdian Watershed , 2012 .
[28] Damian Łowicki. Prediction of flowing water pollution on the basis of landscape metrics as a tool supporting delimitation of Nitrate Vulnerable Zones , 2012 .
[29] B. G. Lockaby,et al. Assessment of Fecal Coliform and Escherichia Coli Across a Land Cover Gradient in West Georgia Streams , 2012, Water Quality, Exposure and Health.
[30] Gholamalifard Mehdi,et al. Monitoring Land Cover Changes of Forests and Coastal Areas of Northern Iran (1988-2010): A Remote Sensing Approach , 2012 .
[31] O. Kisi,et al. SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment , 2012 .
[32] K. Sudheer,et al. Linkage Between In-Stream Total Phosphorus and Land Cover in Chugoku District, Japan: An Ann Approach , 2012 .
[33] Xiaojun Yang. An assessment of landscape characteristics affecting estuarine nitrogen loading in an urban watershed. , 2012, Journal of environmental management.
[34] M. Wu,et al. Modelling the Linkage Between Landscape Metrics and Water Quality Indices of Hydrological Units in Sihu Basin, Hubei Province, China: An Allometric Model , 2012 .
[35] A. El-Shafie,et al. Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS) , 2013, Water Resources Management.
[36] Ciobanu Dumitru,et al. Advantages and Disadvantages of Using Neural Networks for Predictions , 2013 .
[37] Elaheh Motevali,et al. Evaluation of neural network base models in estimation of effective rainfall , 2013 .
[38] J. Adamowski,et al. Assessing the Impacts of Four Land Use Types on the Water Quality of Wetlands in Japan , 2013, Water Resources Management.
[39] M. Gholamalifard,et al. Investigating the Land Cover Changes in Mazandaran Province Using Landscape Ecology’s Metrics Between 1984 - 2010 , 2013 .
[40] Aini Hussain,et al. Erratum to: Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS) , 2013, Water Resources Management.
[41] L. Yuanyuan,et al. River Basin Planning Principles: Procedures and Approaches for Strategic Basin Planning , 2013 .
[42] Yousef Sakieh,et al. Modeling relationships between catchment attributes and river water quality in southern catchments of the Caspian Sea , 2015, Environmental Science and Pollution Research.
[43] Mohsen Mirzayi,et al. Analysis of the physical and chemical quality of Mazandaran province (Iran) rivers using multivariate statistical methods , 2014 .
[44] W. Meng,et al. Relationships between land use patterns and water quality in the Taizi River basin, China , 2014 .
[45] E. Jeppesen,et al. Hydrological and water quality impact assessment of a Mediterranean limno-reservoir under climate change and land use management scenarios , 2014 .
[46] Massoud Tabesh,et al. A comparison between performance of support vector regression and artificial neural network in prediction of pipe burst rate in water distribution networks , 2014 .
[47] K. Clarke,et al. Water Quality Restoration Using Landscape Metrics Analysis: A Case Study in the Golestan Province of Iran , 2014 .
[48] F. Othman,et al. Assessment of water quality parameters using multivariate analysis for Klang River basin, Malaysia , 2015, Environmental Monitoring and Assessment.
[49] Chun Kiat Chang,et al. Prediction of water quality index in constructed wetlands using support vector machine , 2015, Environmental Science and Pollution Research.
[50] William H Benson,et al. Sustainable Watersheds: Integrating Ecosystem Services and Public Health , 2015, Environmental health insights.
[51] S. Ncube. An assessment of the contribution of agricultural non-point source pollution on the water quality of the Vaal River within the Grootdraai Dam catchment , 2015 .
[52] Jafari Ali,et al. DEVELOPING A PATTERN FOR ECOLOGICAL MONITORING IN CENTRAL ZAGROS FORESTS (CASE STUDY: HELEN PROTECTED FOREST) , 2015 .
[53] M. Gholamalifard,et al. Scenario-based land cover change modeling and its implications for landscape pattern analysis in the Neka Watershed, Iran , 2015 .
[54] Zhenyao Shen,et al. Impact of landscape pattern at multiple spatial scales on water quality: A case study in a typical urbanised watershed in China , 2015 .
[55] J. Adamowski,et al. Modeling the Relationship between Catchment Attributes and In-stream Water Quality , 2015, Water Resources Management.
[56] Shien-Tsung Chen,et al. Mining Informative Hydrologic Data by Using Support Vector Machines and Elucidating Mined Data according to Information Entropy , 2015, Entropy.
[57] Mohammad Ali Abdoli,et al. Retraction notice to "Results uncertainty of solid waste generation forecasting by hybrid of wavelet transform-ANFIS and wavelet transform-neural network" , 2016, Expert Syst. Appl..
[58] W. Meng,et al. Effects of land-use patterns on in-stream nitrogen in a highly-polluted river basin in Northeast China. , 2016, The Science of the total environment.
[59] Minghua Zhang,et al. Impacts of land use and population density on seasonal surface water quality using a modified geographically weighted regression. , 2016, The Science of the total environment.
[60] Zhonghao Zhang,et al. Multi-scale analysis of relationship between landscape pattern and urban river water quality in different seasons , 2016, Scientific Reports.
[61] K. Lindenschmidt,et al. Impacts of Climate Change on the Water Quality of a Regulated Prairie River , 2017 .
[62] Chamara P. Liyanage,et al. Impact of Population Growth on the Water Quality of Natural Water Bodies , 2017 .
[63] Gholamreza Naser,et al. Support Vector Machines in Urban Water Demand Forecasting Using Phase Space Reconstruction , 2017 .
[64] Seongjoon Kim,et al. Assessment of integrated watershed health based on the natural environment, hydrology, water quality, and aquatic ecology , 2017 .
[65] J. López‐Moreno,et al. Land cover change modelling in Hyrcanian forests, Northern Iran: a landscape pattern and transformation analysis perspective , 2017, Cuadernos de Investigación Geográfica.
[66] P. Srivastava,et al. Quantifying land use/land cover spatio-temporal landscape pattern dynamics from Hyperion using SVMs classifier and FRAGSTATS® , 2018 .
[67] Haiyan Yang,et al. The Impacts of Spatiotemporal Landscape Changes on Water Quality in Shenzhen, China , 2018, International journal of environmental research and public health.