Abstract
It is of great significance for air pollution control and personnel safety guarantee to master the release characteristics of harmful gases in the process of Limnoperna fortunei corruption. In view of the lack of research on the environmental pollution caused by the corruption of Limnoperna fortunei, a model experiment was designed to study the three harmful gases of NH3, H2S, and CH4 in the putrid process of Limnoperna fortunei by considering the density of Limnoperna fortunei and the time of leaving water. The results show that: (1) The recognition and processing of outliers based on wavelet decomposition and K-means algorithm can effectively reduce the standard deviation and coefficient of variation of the data set and improve the accuracy of the data set. (2) The variation of NH3 and H2S gas concentrations with the time of water separation satisfies polynomial linear regression (R2 > 99%). (3) At a density of 0.5–7.0 × 104 mussels/m2, the highest concentration of NH3 reached 47.9777–307.9454 mg/m3 with the increase in the density of Limnoperna fortunei and the extension of the time away from water, far exceeding the occupational exposure limit of NH3 of 30 mg/m3, potentially threatening human health and safety. The highest detection value of H2S concentration is 0.1909–5.0946 mg/m3, and the highest detection concentration of CH4 is 0.02%, both of which can be ignored.
Highlights
Limnoperna fortunei belongs to the Mollusca phylum, bivalve class, and mussel family
The maximum value of all data within 22 min was recorded as the monitoring value of the harmful gas concentration of Limnoperna fortunei in this period; that is, about 329 valid data were obtained for each test group
On the third day (Figure 4b), the Limnoperna fortunei turned into dark yellow grout, but only a small part of the grout flowed out, and most of the grout was still hanging on the wall inside the Limnoperna fortunei
Summary
Limnoperna fortunei (dunker 1857) belongs to the Mollusca phylum, bivalve class, and mussel family. It is very important and urgent to study the release rules of harmful gases in the putrid process of Limnoperna fortunei. It is important to strengthen the identification of monitoring data and the processing of outliers to analyze the release characteripsrtioccseossfihnagromf fouultgliaesresstofraonmalpyuzetrtehfieerdelLeiamsenocphearrnaactfoerrtisutnicesi.of harmful gases from putrefied LimnIonpevrineawfoortfutnheei.lack of research on the impact of Limnoperna fortunei putrification on ecoloIgnicvaileewnvoifrothnemleanckt soafferteys,etahrrceheohnartmhefuiml gpaascetso, Nf LHim3,nHop2Se,rnana dfoCrtHun4,eiwphuictrhifiacraethioignholyn veocolalotigleic, airlreintavtiirnogn,manednttsoaxfiect,yw, tehrreeesehlaercmtefdulagsarseeasl,-tNimHe3,mHo2nSi,taonridngCHob4j,ewcthsitcoh oabretahinigthhley cvhoalantgilee,diartraitaotfinggas, acnodncteonxtirca,twioenreinsetlheectperdocaessrseaolf-tLiimmenompeornniatofroirntugnoebi jpeucttsretfoicoabtitoanin. The concentration of the three harmful gases NH3, H2S, and CH4 released during the spoilage of the 14 groups of Limnoperna fortunei and the changes in the three environmental factors of temperature, humidity, and O2 in the test device were continuously monitored for a period of 5 days. The data recording frequency of the online gas detector is 1 s/time; that is, the cumulative amount of data for a single indicator in a single set of tests is about 432,000
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