Matches in SemOpenAlex for { <https://semopenalex.org/work/W3199953302> ?p ?o ?g. }
- W3199953302 endingPage "1326" @default.
- W3199953302 startingPage "1315" @default.
- W3199953302 abstract "Recently, incentives have been provided in many countries, including Canada and Denmark, to produce biochar for construction usage. This is done because biochar is carbon negative and can help achieve the emission reduction goal of 2030. This technical note aims to analyse the efficiency of biochar in soils with varying grain size distributions for enhancing soil–water characteristic curve (SWCC). The combinations of biochar content and grain size distributions corresponding to the maximum and minimum efficiencies were explored. Artificial neural network-based model for predicting SWCC as a function of soil suction and grain size distribution was developed. A new factor (the ratio of fine (silt + clay) and coarse (sand) content) was proposed for the interpretation of the efficiency of biochar in soils. The newly developed model is able to predict SWCC reasonably well. Biochar amendment is found to influence both dry and wet sides of soils with a clay content lower than threshold content (6–8%). Beyond threshold content, the influence of biochar appears to reduce. However, in the case of high sand content soils (90%), the normalized water content value on the drier side is generally higher as compared to soils with lower sand content. Based on the sensitivity analysis, it was found that the ratio of fine to sand content is the most influential, while biochar content is the least influential." @default.
- W3199953302 created "2021-09-27" @default.
- W3199953302 creator A5034843355 @default.
- W3199953302 creator A5036179321 @default.
- W3199953302 creator A5043234551 @default.
- W3199953302 creator A5077357457 @default.
- W3199953302 date "2021-11-17" @default.
- W3199953302 modified "2023-10-04" @default.
- W3199953302 title "Exploring efficiency of biochar in enhancing water retention in soils with varying grain size distributions using ANN technique" @default.
- W3199953302 cites W1985103823 @default.
- W3199953302 cites W1987279776 @default.
- W3199953302 cites W2006620664 @default.
- W3199953302 cites W2013138537 @default.
- W3199953302 cites W2028202762 @default.
- W3199953302 cites W2032515808 @default.
- W3199953302 cites W2040064671 @default.
- W3199953302 cites W2059577926 @default.
- W3199953302 cites W2063502925 @default.
- W3199953302 cites W2070452748 @default.
- W3199953302 cites W2086810019 @default.
- W3199953302 cites W2092521540 @default.
- W3199953302 cites W2094569867 @default.
- W3199953302 cites W2119522390 @default.
- W3199953302 cites W2129711897 @default.
- W3199953302 cites W2134490314 @default.
- W3199953302 cites W2161455561 @default.
- W3199953302 cites W2163056700 @default.
- W3199953302 cites W2326988946 @default.
- W3199953302 cites W2332691246 @default.
- W3199953302 cites W2409219597 @default.
- W3199953302 cites W2492999485 @default.
- W3199953302 cites W2598737477 @default.
- W3199953302 cites W2624057787 @default.
- W3199953302 cites W2789229902 @default.
- W3199953302 cites W2800930355 @default.
- W3199953302 cites W2801769496 @default.
- W3199953302 cites W2802629727 @default.
- W3199953302 cites W2899768178 @default.
- W3199953302 cites W2907308266 @default.
- W3199953302 cites W2914162980 @default.
- W3199953302 cites W2922547952 @default.
- W3199953302 cites W2980532416 @default.
- W3199953302 cites W2981219020 @default.
- W3199953302 cites W2990184918 @default.
- W3199953302 cites W2991033185 @default.
- W3199953302 cites W2996254836 @default.
- W3199953302 cites W2999544866 @default.
- W3199953302 cites W3000813879 @default.
- W3199953302 cites W3001588044 @default.
- W3199953302 cites W3002920647 @default.
- W3199953302 cites W3003401083 @default.
- W3199953302 cites W3003462774 @default.
- W3199953302 cites W3005186255 @default.
- W3199953302 cites W3008382133 @default.
- W3199953302 cites W3010944152 @default.
- W3199953302 cites W3013498854 @default.
- W3199953302 cites W3016002332 @default.
- W3199953302 cites W3019645317 @default.
- W3199953302 cites W3022848813 @default.
- W3199953302 cites W3027334179 @default.
- W3199953302 cites W3031010648 @default.
- W3199953302 cites W3039763843 @default.
- W3199953302 cites W3041586580 @default.
- W3199953302 cites W3041664029 @default.
- W3199953302 cites W3065855552 @default.
- W3199953302 cites W3081536799 @default.
- W3199953302 cites W3084208808 @default.
- W3199953302 cites W3089239941 @default.
- W3199953302 cites W3091022083 @default.
- W3199953302 cites W3097706930 @default.
- W3199953302 cites W3102501576 @default.
- W3199953302 cites W3121971582 @default.
- W3199953302 cites W3126706509 @default.
- W3199953302 cites W3134522081 @default.
- W3199953302 cites W3135422552 @default.
- W3199953302 cites W3153686214 @default.
- W3199953302 cites W3201556490 @default.
- W3199953302 cites W342786817 @default.
- W3199953302 cites W4244197658 @default.
- W3199953302 cites W590982132 @default.
- W3199953302 doi "https://doi.org/10.1007/s11440-021-01411-6" @default.
- W3199953302 hasPublicationYear "2021" @default.
- W3199953302 type Work @default.
- W3199953302 sameAs 3199953302 @default.
- W3199953302 citedByCount "25" @default.
- W3199953302 countsByYear W31999533022022 @default.
- W3199953302 countsByYear W31999533022023 @default.
- W3199953302 crossrefType "journal-article" @default.
- W3199953302 hasAuthorship W3199953302A5034843355 @default.
- W3199953302 hasAuthorship W3199953302A5036179321 @default.
- W3199953302 hasAuthorship W3199953302A5043234551 @default.
- W3199953302 hasAuthorship W3199953302A5077357457 @default.
- W3199953302 hasBestOaLocation W31999533022 @default.
- W3199953302 hasConcept C127313418 @default.
- W3199953302 hasConcept C127413603 @default.
- W3199953302 hasConcept C151730666 @default.
- W3199953302 hasConcept C159390177 @default.
- W3199953302 hasConcept C159750122 @default.