FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4207036794> ?p ?o ?g. }

• W4207036794 endingPage "428" @default.
• W4207036794 startingPage "407" @default.
• W4207036794 abstract "River water, the most important natural resource, also considered as a limiting resource in terms of growth and livelihood. Some prominent issues like water scarcity, water pollution, heavy metal pollution, and degradation of water biomes impacted the terrestrial and aquatic ecosystem with extreme severity. This chapter studied the concept of a modeling approach to analyze the status of hydrological regime of the Jumar river and its catchment area which lied in Ranchi district of Jharkhand, Eastern India. The sustainability of Jumar river was found highly sensitive to extreme events like water scarcity and drought conditions. The frequent droughts in summer and overflow in rainy season resulted in eutrophication, soil erosion and sediment pollution in Jumar river basin. This overflow in rainy season was caused due to inflow from non-point sources of water pollution. River water quality assessments and prediction can be done based on various qualitative factors like pH, turbidity, acidity, alkalinity, hardness, dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD). The tools which can be helpful in river water quality modelling were identified as statistical tools, geospatial tools, and technological tools. Some of the statistical tools like descriptive statistics (DS), principle component analysis (PCA), cluster analysis (CA), analysis of variance (ANOVA), multivariate analysis of variance (MANOVA), geospatial tools like geographic information system (GIS), remote sensing (RS), global positioning system (GPS), and technological modeling tools like artificial neural network (ANN), river sustainability Bayesian network (RSBN), universal soil loss equation (USLE), annualized agricultural non-point source pollution (Ann AGNPS), soil water assessment tool (SWAT) were already used in surface water quality modeling. These tools not only helped in understanding and simulating past and current datasets but also assisted in future predictions. Therefore, for understanding the Jumar river sustainability, RSBN model was reviewed using Bayesian network. The RSBN model offered a unique combination of parameters which include water quality and quantity, socio economic and other environmental factors. This framework may help water managers in decision making process for sustainable planning and management of Jumar river watershed." @default.
• W4207036794 created "2022-01-26" @default.
• W4207036794 creator A5022120163 @default.
• W4207036794 creator A5072240823 @default.
• W4207036794 date "2022-01-01" @default.
• W4207036794 modified "2023-10-02" @default.
• W4207036794 title "Sustainability Assessment of Jumar River in Ranchi District of Jharkhand using River Sustainability Bayesian Network (RSBN) model Approach" @default.
• W4207036794 cites W1482867610 @default.
• W4207036794 cites W1485954334 @default.
• W4207036794 cites W1607854336 @default.
• W4207036794 cites W1629256440 @default.
• W4207036794 cites W1848280225 @default.
• W4207036794 cites W1898485863 @default.
• W4207036794 cites W1966779807 @default.
• W4207036794 cites W1969399508 @default.
• W4207036794 cites W1973548398 @default.
• W4207036794 cites W1976452670 @default.
• W4207036794 cites W1980410212 @default.
• W4207036794 cites W1983724666 @default.
• W4207036794 cites W2003401687 @default.
• W4207036794 cites W2007820927 @default.
• W4207036794 cites W2008784339 @default.
• W4207036794 cites W2016535051 @default.
• W4207036794 cites W2021099999 @default.
• W4207036794 cites W2022298133 @default.
• W4207036794 cites W2024198945 @default.
• W4207036794 cites W2028459236 @default.
• W4207036794 cites W2031111380 @default.
• W4207036794 cites W2035846061 @default.
• W4207036794 cites W2036751815 @default.
• W4207036794 cites W2037496050 @default.
• W4207036794 cites W2038899756 @default.
• W4207036794 cites W2038901158 @default.
• W4207036794 cites W2040397490 @default.
• W4207036794 cites W2050607405 @default.
• W4207036794 cites W2058967196 @default.
• W4207036794 cites W2059247791 @default.
• W4207036794 cites W2060180261 @default.
• W4207036794 cites W2070905404 @default.
• W4207036794 cites W2075555234 @default.
• W4207036794 cites W2077885361 @default.
• W4207036794 cites W2078349282 @default.
• W4207036794 cites W2080193036 @default.
• W4207036794 cites W2080767706 @default.
• W4207036794 cites W2082984352 @default.
• W4207036794 cites W2085022151 @default.
• W4207036794 cites W2086645056 @default.
• W4207036794 cites W2089551640 @default.
• W4207036794 cites W2095055668 @default.
• W4207036794 cites W2125161405 @default.
• W4207036794 cites W2129207889 @default.
• W4207036794 cites W2151041351 @default.
• W4207036794 cites W2152064015 @default.
• W4207036794 cites W2152417983 @default.
• W4207036794 cites W2164526292 @default.
• W4207036794 cites W2164548241 @default.
• W4207036794 cites W2171961624 @default.
• W4207036794 cites W2270380610 @default.
• W4207036794 cites W2276243945 @default.
• W4207036794 cites W2280568471 @default.
• W4207036794 cites W2299300137 @default.
• W4207036794 cites W2299999497 @default.
• W4207036794 cites W2321636064 @default.
• W4207036794 cites W2336395294 @default.
• W4207036794 cites W2345979796 @default.
• W4207036794 cites W2353575383 @default.
• W4207036794 cites W2400340553 @default.
• W4207036794 cites W2409717638 @default.
• W4207036794 cites W2508985863 @default.
• W4207036794 cites W2587088850 @default.
• W4207036794 cites W2603502923 @default.
• W4207036794 cites W2604349363 @default.
• W4207036794 cites W2604439373 @default.
• W4207036794 cites W2606138942 @default.
• W4207036794 cites W2608389350 @default.
• W4207036794 cites W2612659720 @default.
• W4207036794 cites W2612863800 @default.
• W4207036794 cites W2613887458 @default.
• W4207036794 cites W2617979241 @default.
• W4207036794 cites W2622086847 @default.
• W4207036794 cites W2735315346 @default.
• W4207036794 cites W2744587446 @default.
• W4207036794 cites W2746622207 @default.
• W4207036794 cites W2748570245 @default.
• W4207036794 cites W2752543351 @default.
• W4207036794 cites W2777518958 @default.
• W4207036794 cites W2785157613 @default.
• W4207036794 cites W2790303075 @default.
• W4207036794 cites W2802240316 @default.
• W4207036794 cites W2802250701 @default.
• W4207036794 cites W2804671007 @default.
• W4207036794 cites W2808478622 @default.
• W4207036794 cites W2808998299 @default.
• W4207036794 cites W2810169612 @default.
• W4207036794 cites W2840174621 @default.
• W4207036794 cites W2884518965 @default.
• W4207036794 cites W2884895114 @default.
• W4207036794 cites W288531067 @default.

• next