[en] Understanding the influence of land use/land cover (LULC) on water quality is pertinent to sustainable water management. This study aimed at assessing the spatio-seasonal variation of water quality in relation to land use types in Lake Muhazi, Rwanda. The National Sanitation Foundation Water Quality Index (NSF-WQI) was used to evaluate the anthropogenically-induced water quality changes. In addition to Principal Components Analysis (PCA), a Cluster Analysis (CA) was applied on 12-clustered sampling sites and the obtained NSF-WQI. Lastly, the Partial Least Squares Path Modelling (PLS-PM) was used to estimate the nexus between LULC, water quality parameters, and the obtained NSF-WQI. The results revealed a poor water quality status at the Mugorore and Butimba sites in the rainy season, then at Mugorore and Bwimiyange sites in the dry season. Furthermore, PCA displayed a sample dispersion based on seasonality while NSF-WQI's CA hierarchy grouped the samples corresponding to LULC types. Finally, the PLS-PM returned a strong positive correlation (+ 0.831) between LULCs and water quality parameters in the rainy season but a negative correlation coefficient (- 0.542) in the dry season, with great influences of cropland on the water quality parameters. Overall, this study concludes that the lake is seasonally influenced by anthropogenic activities, suggesting sustainable land-use management decisions, such as the establishment and safeguarding protection belts in the lake vicinity.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Umwali, Edovia Dufatanye; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi, 830011, China ; Key Laboratory of GIS & RS Application Xinjiang Uyghur Autonomous Region, Urumqi, 830011, China ; University of Chinese Academy of Sciences, Beijing, 100039, China ; University of Lay Adventists of Kigali (UNILAK), Faculty of Environmental Sciences, P.O Box 6392, Kigali, Rwanda ; Joint Research Center for Natural Resources and Environment in East Africa, P.O. Box 6392, Kigali, Rwanda
Kurban, Alishir; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi, 830011, China. alishir@ms.xjb.ac.cn ; University of Chinese Academy of Sciences, Beijing, 100039, China. alishir@ms.xjb.ac.cn ; Joint Research Center for Natural Resources and Environment in East Africa, P.O. Box 6392, Kigali, Rwanda. alishir@ms.xjb.ac.cn
Isabwe, Alain; Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, Fujian, China
Mind'je, Richard; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi, 830011, China ; University of Chinese Academy of Sciences, Beijing, 100039, China ; University of Lay Adventists of Kigali (UNILAK), Faculty of Environmental Sciences, P.O Box 6392, Kigali, Rwanda ; Joint Research Center for Natural Resources and Environment in East Africa, P.O. Box 6392, Kigali, Rwanda
Azadi, Hossein ; Université de Liège - ULiège > TERRA Research Centre > Modélisation et développement ; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi, 830011, China ; Department of Geography, Ghent University, Ghent, Belgium ; Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic
Guo, Zengkun; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi, 830011, China ; Key Laboratory of GIS & RS Application Xinjiang Uyghur Autonomous Region, Urumqi, 830011, China ; University of Chinese Academy of Sciences, Beijing, 100039, China
Udahogora, Madeleine; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi, 830011, China ; University of Chinese Academy of Sciences, Beijing, 100039, China
Nyirarwasa, Anathalie; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi, 830011, China ; University of Chinese Academy of Sciences, Beijing, 100039, China ; Joint Research Center for Natural Resources and Environment in East Africa, P.O. Box 6392, Kigali, Rwanda
Umuhoza, Jeanine; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi, 830011, China ; Key Laboratory of GIS & RS Application Xinjiang Uyghur Autonomous Region, Urumqi, 830011, China ; University of Chinese Academy of Sciences, Beijing, 100039, China ; University of Lay Adventists of Kigali (UNILAK), Faculty of Environmental Sciences, P.O Box 6392, Kigali, Rwanda ; Joint Research Center for Natural Resources and Environment in East Africa, P.O. Box 6392, Kigali, Rwanda
Nzabarinda, Vincent; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi, 830011, China ; Key Laboratory of GIS & RS Application Xinjiang Uyghur Autonomous Region, Urumqi, 830011, China ; University of Chinese Academy of Sciences, Beijing, 100039, China
Gasirabo, Aboubakar; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi, 830011, China ; Key Laboratory of GIS & RS Application Xinjiang Uyghur Autonomous Region, Urumqi, 830011, China ; University of Chinese Academy of Sciences, Beijing, 100039, China ; University of Lay Adventists of Kigali (UNILAK), Faculty of Environmental Sciences, P.O Box 6392, Kigali, Rwanda ; Joint Research Center for Natural Resources and Environment in East Africa, P.O. Box 6392, Kigali, Rwanda
Sabirhazi, Gulnur; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi, 830011, China ; University of Chinese Academy of Sciences, Beijing, 100039, China
Language :
English
Title :
Spatio-seasonal variation of water quality influenced by land use and land cover in Lake Muhazi.
The authors express their sincere gratitude for the research funding supported by the key program for the bureau of international cooperation, Chinese Academy of Science (CAS), Grant number 151542KYSB20200018. In addition, we express our appreciation to the Rwanda Environment Management Authority (REMA) for facilitating the water sample analysis.
Water, U. N. Policy brief: water quality. United Nations. (2011). http://www.unwater.org/downloads/waterquality_policybrief.pdf.
Iqbal, K., Ahmad, S. & Dutta, V. Pollution mapping in the urban segment of a tropical river: Is water quality index (WQI) enough for a nutrient-polluted river?. Appl. Water Sci. 9(8), 197. 10.1007/s13201-019-1083-9 (2019). DOI: 10.1007/s13201-019-1083-9
Tyagi, S., Sharma, B., Singh, P. & Dobhal, R. Water quality assessment in terms of water quality index. Am. J. Water Resour. 1(3), 34–38. 10.12691/ajwr-1-3-3 (2013). DOI: 10.12691/ajwr-1-3-3
Mukanyandwi, V. et al. Seasonal assessment of drinking water sources in Rwanda using GIS, Contamination Degree (Cd), And Metal Index (Mi). Environ. Monit. Assess. 191, 734. 10.1007/s10661-019-7757-9 (2019). DOI: 10.1007/s10661-019-7757-9
Wu, Z. et al. Water quality assessment based on the water quality index method in Lake Poyang: The largest freshwater lake in China. Sci. Rep. 7, 1–10. 10.1038/s41598-017-18285-y (2017). DOI: 10.1038/s41598-017-18285-y
Lai, Y., Yang, C., Hsieh, C., Wu, C. & Kao, C. Evaluation of non-point source pollution and river water quality using a multimedia two-model system. J. Hydrol. 409, 583–595. 10.1016/j.jhydrol.2011.08.040 (2011). DOI: 10.1016/j.jhydrol.2011.08.040
Rudra, R. P. et al. Currents status, challenges, and future directions in identifying critical source areas for non-point source pollution in Canadian conditions. Agriculture 10(10), 468 (2020). DOI: 10.3390/agriculture10100468
Neogi, B., Tiwari, A. K., Singh, A. K. & Pathak, D. D. Evaluation of metal contamination and risk assessment to human health in a coalmine region of India: A case study of the North Karanpura coalfield. Hum. Ecol. Risk Assess. Int. J. 24(8), 2011–2023. 10.1080/10807039.2018.1436434 (2018). DOI: 10.1080/10807039.2018.1436434
Tabari, H. Climate change impact on flood and extreme precipitation increases with water availability. Sci. Rep. 10(1), 1–10 (2020). DOI: 10.1038/s41598-019-56847-4
Cuffney, T. F., Kennen, J. G., & Waite, I. R. Aquatic ecosystems as indicators of status and trends in water quality. 1, 122–126 (2014).
Boyacioglu, H. Surface water quality assessment using factor analysis. Water SA 32(3), 389–393. 10.4314/wsa.v32i3.5264 (2006). DOI: 10.4314/wsa.v32i3.5264
Ding, J. et al. Impacts of land use on surface water quality in a subtropical River Basin: A case study of the Dongjiang River Basin, Southeastern China. Water 7(8), 4427–4445. 10.3390/w7084427 (2015). DOI: 10.3390/w7084427
Madriñán, M. J. M., Al-Hamdan, M. Z., Rickman, D. L. & Ye, J. Relationship between watershed land-cover/land-use change and water turbidity status of Tampa Bay major tributaries, Florida, USA. Water Air Soil Pollut. 223, 2093–2109. 10.1007/s11270-011-1007-2 (2012). DOI: 10.1007/s11270-011-1007-2
Namugize, J. N., Jewitt, G. & Graham, M. Effects of land use and land cover changes on water quality in the uMngeni river catchment, South Africa. Phys. Chem. Earth Parts A/B/C 105, 247–264. 10.1016/j.pce.2018.03.013 (2018). DOI: 10.1016/j.pce.2018.03.013
Teixeira, Z., Teixeira, H. & Marques, J. C. Systematic processes of land use/land cover change to identify relevant driving forces: Implications on water quality. Sci. Total Environ. 470, 1320–1335 (2014). DOI: 10.1016/j.scitotenv.2013.10.098
Julian, J. P., Beurs, K. M. D., Owsley, B., Davies-Colley, R. J. & Ausseil, A.-G.E. River water quality changes in New Zealand over 26 years: Response to land use intensity. Hydrol. Earth Syst. Sci. 21, 1149–1171 (2017). DOI: 10.5194/hess-21-1149-2017
Rodrigues, V. et al. Effects of land use and seasonality on stream water quality in a small tropical catchment: The headwater of Córrego Água Limpa, São Paulo (Brazil). Sci. Total Environ. 622, 1553–1561 (2018). DOI: 10.1016/j.scitotenv.2017.10.028
Shukla, A. K. et al. Population growth, land use and land cover transformations, and water quality nexus in the Upper Ganga River basin. Hydrol. Earth Syst. Sci. 22, 4745–4770 (2018). DOI: 10.5194/hess-22-4745-2018
Vrebos, D., Beauchard, O. & Meire, P. The impact of land use and spatial mediated processes on the water quality in a river system. Sci. Total Environ. 601, 365–373 (2017). DOI: 10.1016/j.scitotenv.2017.05.217
Nhapi, I. et al. Heavy metals inflow into Lake Muhazi, Rwanda. Eng. J. 5(1), 10. 10.2174/1874829501205010056 (2012). DOI: 10.2174/1874829501205010056
Wang, H. et al. Water and wastewater treatment in Africa—Current practices and challenges. Clean: Soil, Air, Water 42(8), 1029–1035. 10.1002/clen.201300208 (2014). DOI: 10.1002/clen.201300208
Omosa, I. B., Wang, H., Cheng, S., & Li, F. Sustainable tertiary wastewater treatment is required for water resources pollution control in Africa. Environ. Sci. Technol. 46(13), 7065–7066. 10.1021/es3022254 (2012). DOI: 10.1021/es3022254
Nahayo, L. et al. Seasonal drinking water quality monitoring for the community wellbeing in the Eastern Rwanda. J. Environ. Prot. Sustain. Dev. 4(1), 1–6 (2018).
Hernández-Romero, A. H., Tovilla-Hernández, C., Malo, E. A. & Bello-Mendoza, R. Water quality and presence of pesticides in a tropical coastal wetland in southern Mexico. Mar. Pollut. Bull. 48(11–12), 1130–1141. 10.1016/j.marpolbul.2004.01.003 (2004). DOI: 10.1016/j.marpolbul.2004.01.003
Haldar, D., Halder, S., Das, P. & Halder, G. Assessment of water quality of Damodar River in South Bengal region of India by Canadian Council of Ministers of Environment (CCME) Water Quality Index: A case study. Desalin. Water Treat. 57(8), 3489–3502. 10.1080/19443994.2014.987168 (2016). DOI: 10.1080/19443994.2014.987168
Kachroud, M., Trolard, F., Kefi, M., Jebari, S. & Bourrié, G. Water quality indices: Challenges and application limits in the literature. Water 11(2), 361. 10.3390/w11020361 (2019). DOI: 10.3390/w11020361
Mnisi, L. N. Assessment of the state of the water quality of the Lusushwana River, Swaziland, using selected water quality indices (2012).
Santy, S., Mujumdar, P. & Bala, G. Potential impacts of climate and land use change on the water quality of Ganga River around the industrialized Kanpur region. Sci. Rep. 10, 1–13 (2020). DOI: 10.1038/s41598-020-66171-x
Zhang, J., Li, S. & Jiang, C. Effects of land use on water quality in a River Basin (Daning) of the Three Gorges Reservoir Area, China: Watershed versus riparian zone. Ecol. Indic. 113, 106226 (2020). DOI: 10.1016/j.ecolind.2020.106226
Mupenzi, J. P., Ge, J., & Habiyaremye, G. Major elements in lake Muhazi, Rwanda, East Africa. Acta Geol. Sin. (Eng. Edn.) 83, 927–931 (2009). DOI: 10.1111/j.1755-6724.2009.00114.x
Nhapi, I. et al. Distribution of heavy metals in Lake Muhazi, Rwanda. Open Environ. Eng. J. 10.2174/1874829501205010096 (2012). DOI: 10.2174/1874829501205010096
National Institute of Statistics of Rwanda, Ministry of Finance and Economic Planning (MINECOFIN) [Rwanda]. Rwanda Fourth Population and Housing Census. Thematic Report: Population Size, Structure and Distribution (2012).
Federation, Water Environmental, & APH Association. Standard methods for the examination of water and wastewater (American Public Health Association (APHA), Washington, DC, 2005).
Stillinger, T., Roberts, D. A., Collar, N. M. & Dozier, J. Cloud masking for Landsat 8 and MODIS Terra over snow-covered terrain: Error analysis and spectral similarity between snow and cloud. Water Resour. Res. 55, 6169–6184 (2019). DOI: 10.1029/2019WR024932
Ogbozige, F. J., Adie, D. B. & Abubakar, U. A. Water quality assessment and mapping using inverse distance weighted interpolation: A case of River Kaduna, Nigeria. Niger. J. Technol. 37(1), 249–261. 10.4314/njt.v37i1.33 (2018). DOI: 10.4314/njt.v37i1.33
Sapna, K., et al. Spatial analysis of river water quality using inverse distance weighted interpolation in Noyyal watershed in Coimbatore, Tamilnadu, India. Res. J. Life Sci. Bioinform. Pharm. Chem. Sci. 4, 150 (2018).
Kumar, S., & Sangeetha, B. Assessment of ground water quality in Madurai city by using geospatial techniques. Groundw. Sustain. Dev. 10, 100297 (2020). DOI: 10.1016/j.gsd.2019.100297
Paul, R., et al. Identification of hydrogeochemical processes controlling groundwater quality in Tripura, Northeast India using evaluation indices, GIS, and multivariate statistical methods. Environ. Earth Sci. 78, 1–16 (2019). DOI: 10.1007/s12665-019-8479-6
Gradilla-Hernández, M. S. et al. Assessment of the water quality of a subtropical lake using the NSF-WQI and a newly proposed ecosystem specific water quality index. Environ. Monit. Assess. 192, 1–19. 10.1007/s10661-020-08265-7 (2020). DOI: 10.1007/s10661-020-08265-7
Noori, R., Berndtsson, R., Hosseinzadeh, M., Adamowski, J. F. & Abyaneh, M. R. A critical review on the application of the National Sanitation Foundation Water Quality Index. Environ. Pollut. 244, 575–587. 10.1016/j.envpol.2018.10.076 (2019). DOI: 10.1016/j.envpol.2018.10.076
Sharifinia, M., Ramezanpour, Z., Imanpour, J., Mahmoudifard, A. & Rahmani, T. Water quality assessment of the Zarivar Lake using physico-chemical parameters and NSF-WQI indicator, Kurdistan Province-Iran. Int. J. Adv. Biol. Biomed. Res. 1(3), 302–312 (2013).
Brown, R. M., McClelland, N. I., Deininger, R. A. & Tozer, R. G. Water quality index-do we dare?. Water Sew. Works 117(10), 339–343 (1970).
Kettenring, J. R. The practice of cluster analysis. J. Classif. 23, 3–30 (2006). DOI: 10.1007/s00357-006-0002-6
Fernandes, L. S., Fernandes, A., Ferreira, A., Cortes, R. & Pacheco, F. A partial least squares—Path modeling analysis for the understanding of biodiversity loss in rural and urban watersheds in Portugal. Sci. Total Environ. 626, 1069–1085 (2018). DOI: 10.1016/j.scitotenv.2018.01.127
Patrícia Salgado Terêncio, D., et al. Can land cover changes mitigate large floods? A reflection based on partial least squares-path modeling. Water, 11, 684 (2019). DOI: 10.3390/w11040684
Barter, R. L. & Yu, B. Superheat: An R package for creating beautiful and extendable heatmaps for visualizing complex data. J. Comput. Graph. Stat. 27, 910–922 (2018). DOI: 10.1080/10618600.2018.1473780
Harrell, Jr. F. E., Harrell, Jr. M. F. Package ‘hmisc’. CRAN2018 (Harrell Miscellaneous, 2021).
Kassambara, A. Practical guide to principal component methods in R: PCA, M (CA), FAMD, MFA, HCPC, factoextra (STHDA, 2017).
Sanchez, G., Trinchera, L., & Russolillo, G. Introduction to the R package plspm (2014).
Wickham, Hadley, W. Chang, and L. Henry. "ggplot2.". http://ggplot2.org (2012).
Mukaka, M. M. Statistics corner: A guide to appropriate use of correlation coefficient in medical research. Malawi Med. J. 24, 69–71 (2012).
Mupenzi, C. et al. Spatial pattern assessment of Lake Kivu basin rivers water quality using National Sanitation Foundation water quality and rivers pollution indices. Desalin. Water Treat. 95, 118–127. 10.5004/dwt.2017.21566 (2017). DOI: 10.5004/dwt.2017.21566
Khodzher, T. V., Domysheva, V. M., Sorokovikova, L. M., Sakirko, M. V. & Tomberg, I. V. Current chemical composition of Lake Baikal water. Inland Waters 7(3), 250–258. 10.1080/20442041.2017.1329982 (2017). DOI: 10.1080/20442041.2017.1329982
Carr, G. M. & Neary, J. P. Water Quality for Ecosystem and Human Health (UNEP/Earthprint, 2008).
Hamid, A., Bhat, S. U. & Jehangir, A. Local determinants influencing stream water quality. Appl. Water Sci. 10(1), 24. 10.1007/s13201-019-1043-4 (2020). DOI: 10.1007/s13201-019-1043-4
Mustapha, M. K. Assessment of the water quality of Oyun Reservoir, Offa, Nigeria, using selected physico-chemical parameters. Turk. J. Fish. Aquat. Sci. 8(2), 309–319 (2008).
Saad, A. S., Massoud, M. A., Amer, R. A. & Ghorab, M. A. Assessment of the physicochemical characteristics and water quality analysis of Mariout Lake, Southern of Alexandria, Egypt. J. Environ. Anal. Toxicol. 7(1), 421. 10.4172/2161-0525.1000421 (2017). DOI: 10.4172/2161-0525.1000421
Umer, A., Assefa, B. & Fito, J. Spatial and seasonal variation of lake water quality: Beseka in the Rift Valley of Oromia region, Ethiopia. Int. J. Energy Water Resour. 4, 47–54 (2020). DOI: 10.1007/s42108-019-00050-8
Rajendran, A. & Mansiya, C. Physico-chemical analysis of ground water samples of coastal areas of south Chennai in the post-Tsunami scenario. Ecotoxicol. Environ. Saf. 121, 218–222. 10.1016/j.ecoenv.2015.03.037 (2015). DOI: 10.1016/j.ecoenv.2015.03.037
Benouara, N., Laraba, A. & Hachemi Rachedi, L. Assessment of groundwater quality in the Seraidi region (northeast of Algeria) using NSF-WQI. Water Sci. Technol. Water Supply 16(4), 1132–1137. 10.2166/ws.2016.030 (2016). DOI: 10.2166/ws.2016.030
Edition, F. Guidelines for drinking-water quality. WHO Chron. 38(4), 104–108 (2011).
Ichwana, I., Syahrul, S. & Nelly, W. Water quality index by using national sanitation foundation-Water quality index (NSF-WQI) method at krueng tamiang aceh. In International Conference on Technology, Innovation, Universitas Syiah Kuala, Indonesia (2016).
Deepa, P., Raveen, R., Venkatesan, P., Arivoli, S. & Samuel, T. Seasonal variations of physicochemical parameters of Korattur lake, Chennai, Tamil Nadu, India. Int. J. Chem. Stud. 4(3), 116–123 (2016).
Delpla, I., Jung, A.-V., Baures, E., Clement, M. & Thomas, O. Impacts of climate change on surface water quality in relation to drinking water production. Environ. Int. 35, 1225–1233 (2009). DOI: 10.1016/j.envint.2009.07.001
Van Vliet, M. & Zwolsman, J. Impact of summer droughts on the water quality of the Meuse river. J. Hydrol. 353, 1–17. 10.1016/j.jhydrol.2008.01.001 (2008). DOI: 10.1016/j.jhydrol.2008.01.001
Zwolsman, J. & Van Bokhoven, A. Impact of summer droughts on water quality of the Rhine River—A preview of climate change?. Water Sci. Technol. 56, 45–55. 10.2166/wst.2007.535 (2007). DOI: 10.2166/wst.2007.535
Li, D. & Liu, S. Water Quality Monitoring and Management: Basis (Academic Press, 2018).
Lokhande, R. S., Singare, P. U. & Pimple, D. S. Study on physico-chemical parameters of wastewater effluents from Taloja industrial area of Mumbai, India. Int. J. Ecosyst. 1(1), 1–9. 10.5923/j.ije.20110101.01 (2011). DOI: 10.5923/j.ije.20110101.01
Sudarshan, P., Mahesh, M. K. & Ramachandra, T. V. Assessment of seasonal variation in water quality and water quality index (WQI) of Hebbal Lake, Bangalore, India. Environ. Ecol. 37, 309–317 (2019).
Dhinamala, K., Pushpalatha, M., Samuel, T. & Raveen, R. Spatial and temporal variations in the water quality parameters of Pulicat Lake, Tamil Nadu, India. Int. J. Fish. Aquat. Stud. 3(2), 255–259 (2015).
Katakwar, M. Water quality and pollution status of Narmada river’s Anjan tributary in Madhya Pradesh, India. Int. J. Curr. Res. Acad. Rev. 2(11), 93–98 (2014).
Saksena, D. N., Garg, R. K. & Rao, R. J. Water quality and pollution status of Chambal river in National Chambal sanctuary, Madhya Pradesh. J. Environ. Biol. 29(5), 701–710 (2008).
Akpe, A. R., Femi, I. J., Okwu, G. I. & Obiazi, H. Seasonal variations in the physicochemical parameters of Ikpoba river water samples. Int. J. Life. Sci. Sci. Res. 2455(1716), 1716. 10.21276/ijlssr.2018.4.3.12 (2018). DOI: 10.21276/ijlssr.2018.4.3.12
Zhao, Z., Liu, G., Liu, Q., Huang, C. & Li, H. Studies on the spatiotemporal variability of river water quality and its relationships with soil and precipitation: A case study of the Mun River Basin in Thailand. Int. J. Environ. Res. Public Health 15(11), 2466. 10.3390/ijerph15112466 (2018). DOI: 10.3390/ijerph15112466
Gayathri, S., Latha, N. & Ramachandra Mohan, M. Impact of climate change on water quality of Shoolkere Lake, Bangalore. J. Acad. Ind. Res. 2, 362 (2014).
Tasdighi, A., Arabi, M. & Osmond, D. L. The relationship between land use and vulnerability to nitrogen and phosphorus pollution in an urban watershed. J. Environ. Qual. 46(1), 113–122. 10.2134/jeq2016.06.0239 (2017). DOI: 10.2134/jeq2016.06.0239
Riemersma, S., Little, J., Ontkean, G., & Moskal-Hébert, T. Phosphorus sources and sinks in watersheds: A review. Alberta soil phosphorus limits project 5 (2006).
Ross, D. S. et al. Impact of an extreme storm event on river corridor bank erosion and phosphorus mobilization in a mountainous watershed in the northeastern United States. J. Geophys. Res. Biogeosci. 124(1), 18–32. 10.1029/2018JG004497 (2019). DOI: 10.1029/2018JG004497
Najar, I. A. & Khan, A. B. Assessment of seasonal variation in water quality of Dal Lake (Kashmir, India) using multivariate statistical techniques. In Conference on Water Pollution-XI: Modeling, Monitoring and Management. WIT Trans. Ecol. Environ. 164, 123–134 (2012). DOI: 10.2495/WP120111
Solanki, H. A. Physico-chemical parameters of water in Bibi Lake, Ahmedabad, Gujarat, India. J. Pollut. Effects Control 1–5 (2015).
World Health Organization. Water Quality and Health-Review of Turbidity: Information for Regulators and Water Suppliers. https://apps.who.int/iris/bitstream/handle/10665/254631/WHO-FWC-WSH-17.01-eng.pdf (2017).
Environmental and Fondriest. Conductivity, salinity and total dissolved solids: fundamentals of environmental measurements (2014).
Phyllis, K. & Lawrence, K. Effects of total dissolved solids on aquatic organisms: A review of literature and recommendation for salmonid species. Am. J. Environ. Sci. 3, 1–6 (2007). DOI: 10.3844/ajessp.2007.1.6
Kodom, K., et al. Physicochemical parameters assessment and seasonal variations of surface water quality of the Volta lake in Ghana. Int. J. Res. 5 (2018).
Sharma, S. & Bhattacharya, A. Drinking water contamination and treatment techniques. Appl. Water Sci. 7(3), 1043–1067. 10.1007/s13201-016-0455-7 (2017). DOI: 10.1007/s13201-016-0455-7
Ding, S., Zhang, Y., Liu, B., Kong, W. & Meng, W. Effects of riparian land use on water quality and fish communities in the headwater stream of the Taizi River in China. Front. Environ. Sci. Eng. 7(5), 699–708. 10.1007/s11783-013-0528-x (2013). DOI: 10.1007/s11783-013-0528-x
Kang, J. H. et al. Linking land-use type and stream water quality using spatial data of fecal indicator bacteria and heavy metals in the Yeongsan river basin. Water Res. 44(14), 4143–4157. 10.1016/j.watres.2010.05.009 (2010). DOI: 10.1016/j.watres.2010.05.009
Ngoye, E. & Machiwa, J. F. The influence of land-use patterns in the Ruvu river watershed on water quality in the river system. Phys. Chem. Earth Parts A/B/C 29(15–18), 1161–1166. 10.1016/j.pce.2004.09.002 (2004). DOI: 10.1016/j.pce.2004.09.002
Huang, J., Zhan, J., Yan, H., Wu, F. & Deng, X. Evaluation of the impacts of land use on water quality: A case study in the Chaohu Lake basin. Sci. World J. 10.1155/2013/329187 (2013). DOI: 10.1155/2013/329187
Permatasari, P. A., Setiawan, Y., Khairiah, R. N. & Effendi, H. The effect of land use change on water quality: A case study in Ciliwung Watershed. In IOP Conference Series: Earth and Environmental Science, vol. 5, 012026 (IOP Publishing, 2017).
Wang, L., Li, H., Dang, J., Zhao, Y., Zhu, Y. E. & Qiao, P. Effects of urbanization on water quality and the macro benthos community structure in the Fen he River, Shanxi Province, China. J. Chem. 10.1155/2020/8653486 (2020). DOI: 10.1155/2020/8653486
Seo, Y. & Schmidt, A. R. The effect of rainstorm movement on urban drainage network runoff hydrographs. Hydrol. Process. 26, 3830–3841 (2012). DOI: 10.1002/hyp.8412
Kleinman, P. J. et al. Managing agricultural phosphorus for water quality protection: Principles for progress. Plant Soil 349, 169–182 (2011). DOI: 10.1007/s11104-011-0832-9
Mishra, S., Sharma, M. P. & Kumar, A. Assessment of water quality in Surha Lake based on physiochemical parameters, India. J. Mater. Environ. Sci. 6, 2446–2452 (2015).
De Oliveira, L. M., Maillard, P. & De Andrade Pinto, É. J. Modeling the effect of land use/land cover on nitrogen, phosphorous and dissolved oxygen loads in the Velhas River using the concept of exclusive contribution area. Environ. Monit. Assess. 188, 333 (2016). DOI: 10.1007/s10661-016-5323-2
Uriarte, M., Yackulic, C. B., Lim, Y. & Arce-Nazario, J. A. Influence of land use on water quality in a tropical landscape: A multi-scale analysis. Landsc. Ecol. 26, 1151–1164 (2011). DOI: 10.1007/s10980-011-9642-y
Huang, W., Mao, J., Zhu, D. & Lin, C. Impacts of land use and land cover on water quality at multiple buffer-zone scales in a Lakeside City. Water 12, 47 (2020). DOI: 10.3390/w12010047
Moreno-Rodenas, A. M., Tscheikner-Gratl, F., Langeveld, J. G. & Clemens, F. H. Uncertainty analysis in a large-scale water quality integrated catchment modelling study. Water Res. 158, 46–60 (2019). DOI: 10.1016/j.watres.2019.04.016
Mcintyre, N. R., Wagener, T., Wheater, H. S. & Yu, Z. S. Uncertainty and risk in water quality modelling and management. J. Hydroinform. 5, 259–274 (2003). DOI: 10.2166/hydro.2003.0022
