soil evidence
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2021 ◽  
Vol 7 (SpecialIssue) ◽  
pp. 389-399
Author(s):  
Suwardji Suwardji ◽  
‪I Made Sudantha

The fate of glyphosate in soil and water is dependent on the properties of glyphosate and its envoronement. Behaviour of glyphosate in soil, sediment and water is strongly influenced the way by which it can be adsorbed by soils, sediments, and suspended material in water. The role of soil organic matter, clay mineral, and amorphous minerals on the adsorption of glyphosate depends primarily on the nature and properties of the soil itself and the properties of glyphosate. Environmental factors have some influence on sorption and degradation of glyphosate. Glyphosate is rapidly inactivated in soil, is in part due to adsorption. Some soil properties have been identified strongly influence adsorption of glyphosate, such as clay minerals, composition of cations in exchangeable site of clay and organic matter, unoccupied phosphate adsorption site, degree of humification, and soil pH. Adsorption limits the availability of glyposate for microbial degradation. The sorbed glyphosate is not directly available to microorganisms in soil. Evidence also suggests that not only a strongly sorbed compound such as paraquat but also weakly sorbed compounds such as flumetsulam and picloram can persist for long periods when they are sorbed by soil constituents. This suggests that the interaction between sorption and biodegradation should be considered in predicting the fate of pesticides in soils and sediments.


2021 ◽  
Vol 44 (2) ◽  
pp. 1-14
Author(s):  
Cristiane Ribeiro de Melo ◽  
Paulo Abadie Guedes ◽  
Samuel França Amorim ◽  
Fellipe Henrique Borba Alves ◽  
José Almir Cirilo

Landslide susceptibility and water balance in the soil, in the community of Lagoa Encantada, Recife Metropolitan Area, Brazil, were assessed using the computational models SINMAP and HYDRUS-1D. The SINMAP input parameters were the physical and hydrodynamic characteristics of the soil, evidence of landslides and the DEM; and for the HYDRUS-1D model, the hydraulic parameters of the soil. For both programs, simulations were also carried out, based on the rain recorded in the area. The soil was classified using the Unified Soil Classification System (USCS). To assess infiltration processes that cause landslides, HYDRUS-1D was used, under the same scenarios simulated by the SINMAP model and also in the evaluation of the infiltrated volume, in real landslides. The SINMAP results (susceptibility maps) show a 71% increase in the susceptible area (SI < 1; SI = stability index) between the two precipitation scenarios, and are consistent with evidence of landslides. The HYDRUS-1D results complement SINMAP results and suggest that infiltration values for simulated scenarios were similar to those of real landslides. It is concluded that it is possible to map areas of greater instability and to predict possible landslides in different precipitation scenarios, by quantitatively assessing the infiltrated volume that contributes to the destabilization of the soil.


2021 ◽  
Vol 23 (1) ◽  
pp. 1
Author(s):  
Durrotus Sunniyyah

AbstractForensic taphonomy is a branch of forensic science which in its application uses processes related to the decomposition of corpses and uses soil evidence to estimate post-mortem interval (PMI) or post burial. Soil has evidential value because it contains minerals, plants and animal materials that are useful for characterization. This research was conducted by analyzing soil characteristics, namely soil pH and soil moisture and total nitrogen content in soil samples taken from under rabbit carcasses that were placed on the soil surface, buried 25 cm and 50 cm at each decomposition stage. The results obtained showed significant differences at each stage of decomposition and laying of the carcasses.


Talanta ◽  
2020 ◽  
Vol 219 ◽  
pp. 121304 ◽  
Author(s):  
Antonella Profumo ◽  
Agnese Gorroni ◽  
Sonia Alessandra Guarnieri ◽  
Giorgio Giacomo Mellerio ◽  
Lucia Cucca ◽  
...  

2020 ◽  
Vol 309 ◽  
pp. 110231 ◽  
Author(s):  
Can Hu ◽  
Hongcheng Mei ◽  
Hongling Guo ◽  
Ping Wang ◽  
Jun Zhu
Keyword(s):  

2020 ◽  
Vol 97 ◽  
pp. 103169
Author(s):  
Kazumori Mise ◽  
Yuki Koyama ◽  
Arisa Matsumoto ◽  
Kazuki Fujita ◽  
Takashi Kunito ◽  
...  

Author(s):  
Zhi-hua Tang ◽  
Ting-ping Ouyang ◽  
Ming-kun Li ◽  
Ning-sheng Huang ◽  
Yao-qiu Kuang ◽  
...  

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