农业工程学报
農業工程學報
농업공정학보
2013年
24期
227-234
,共8页
宋彩红%贾璇%李鸣晓%祝超伟%于燕波%魏自民%潘红卫
宋綵紅%賈璇%李鳴曉%祝超偉%于燕波%魏自民%潘紅衛
송채홍%가선%리명효%축초위%우연파%위자민%반홍위
堆肥%发酵%粪便%沼渣%腐熟度%综合评价
堆肥%髮酵%糞便%沼渣%腐熟度%綜閤評價
퇴비%발효%분편%소사%부숙도%종합평개
composting%fermentation%manures%biogas residue%maturity%comprehensive evaluation
采用正交试验设计方法实施了4组不同物料配比(以干质量计)沼渣与畜禽粪便混合物料堆肥试验,并采用模糊综合评价、灰色关联分析和属性识别法对其发酵效果进行了评价,为沼渣的肥料化利用提供参考。结果表明:T3(沼渣∶猪粪∶鸡粪=5.85∶8.49∶8.19)升温速率最快、高温维持时间最长,所达温度最高,T2(5.85∶7.425∶6.825)次之,T1(7.02∶7.425∶8.19)、T4(7.02∶8.49∶6.825)最差;从pH值、有机质、C/N、NH4+-N、NH4+-N/NO3--N和总养分等化学指标看,T2、T3发酵效果优于T1、T4;堆肥结束后,T1、T2、T3、T4粪大肠菌值分别为1、10-1、10-2、1,发芽指数GI分别为96.72%、103.35%、98.42%、85.13%。上述3种评价方法对T1、T2、T3发酵效果评价一致:较好腐熟,但对T4评价结果分别为较好、基本和极未腐熟。综上所述,由单一指标或单一评价方法评判堆肥腐熟度有局限性。对堆肥发酵效果的评价应综合考虑物理、化学和生物学指标,对比3种评价方法原理,灰色关联分析法是评价堆肥发酵效果的较优方法。
採用正交試驗設計方法實施瞭4組不同物料配比(以榦質量計)沼渣與畜禽糞便混閤物料堆肥試驗,併採用模糊綜閤評價、灰色關聯分析和屬性識彆法對其髮酵效果進行瞭評價,為沼渣的肥料化利用提供參攷。結果錶明:T3(沼渣∶豬糞∶鷄糞=5.85∶8.49∶8.19)升溫速率最快、高溫維持時間最長,所達溫度最高,T2(5.85∶7.425∶6.825)次之,T1(7.02∶7.425∶8.19)、T4(7.02∶8.49∶6.825)最差;從pH值、有機質、C/N、NH4+-N、NH4+-N/NO3--N和總養分等化學指標看,T2、T3髮酵效果優于T1、T4;堆肥結束後,T1、T2、T3、T4糞大腸菌值分彆為1、10-1、10-2、1,髮芽指數GI分彆為96.72%、103.35%、98.42%、85.13%。上述3種評價方法對T1、T2、T3髮酵效果評價一緻:較好腐熟,但對T4評價結果分彆為較好、基本和極未腐熟。綜上所述,由單一指標或單一評價方法評判堆肥腐熟度有跼限性。對堆肥髮酵效果的評價應綜閤攷慮物理、化學和生物學指標,對比3種評價方法原理,灰色關聯分析法是評價堆肥髮酵效果的較優方法。
채용정교시험설계방법실시료4조불동물료배비(이간질량계)소사여축금분편혼합물료퇴비시험,병채용모호종합평개、회색관련분석화속성식별법대기발효효과진행료평개,위소사적비료화이용제공삼고。결과표명:T3(소사∶저분∶계분=5.85∶8.49∶8.19)승온속솔최쾌、고온유지시간최장,소체온도최고,T2(5.85∶7.425∶6.825)차지,T1(7.02∶7.425∶8.19)、T4(7.02∶8.49∶6.825)최차;종pH치、유궤질、C/N、NH4+-N、NH4+-N/NO3--N화총양분등화학지표간,T2、T3발효효과우우T1、T4;퇴비결속후,T1、T2、T3、T4분대장균치분별위1、10-1、10-2、1,발아지수GI분별위96.72%、103.35%、98.42%、85.13%。상술3충평개방법대T1、T2、T3발효효과평개일치:교호부숙,단대T4평개결과분별위교호、기본화겁미부숙。종상소술,유단일지표혹단일평개방법평판퇴비부숙도유국한성。대퇴비발효효과적평개응종합고필물리、화학화생물학지표,대비3충평개방법원리,회색관련분석법시평개퇴비발효효과적교우방법。
In general biogas residue, along with livestock and poultry manure and straw as raw material, is not suitable for composting alone. Because it is mainly composed of cellulose and contains less readily biodegradable organic matter. The biogas residue mixed with livestock and poultry manure co-composting has two advantages. Firstly, the biogas residue fermentation is driven by easily degradable organic matter in manure. Secondly, the biogas residue is used as a conditioning agent during the composting, which is conducive to ventilation. A variety of comprehensive evaluation methods have been used for evaluating the compost maturity, but lack of study on the biogas residue mixed with livestock and poultry manure co-composting. In this study, four biogas residues mixed with pig manure and chicken manure co-composting experiments, with different material ratios (dry weight), were tested for amount of biogas residue, pig manure, and chicken manure using orthogonal experiment design. Physical (e.g. time required to reach 50℃, heating rate, duration time above 50℃, maximum temperature), chemical (e.g. pH value, organic matter, C/N, NH4+-N, NH4+-N/NO3--N, total nutrient) and biological (e.g. faecal coliform value and GI) indicators were characterized during composting. Correlation analysis among all above-mentioned indicators was conducted in order to determining the fermentation effect of biogas residue mixed with livestock and poultry manure co-composting more accurately,. A compost maturity evaluation index systemincluded pH value, duration time above 50℃, T value, NH4+-N, NH4+-N/NO3--N and GI after eliminating parameter overlap influnce. The fermentation effect of co-composting was evaluated using fuzzy comprehensive evaluation method, gray correlation analysis method and attribute recognition methodin order to provide a theoretical basis for biogas residue mixed with livestock and poultry manure compost utilized as fertilizer. The results showed that T3 (w (biogas residue amount): w (pig manure amount): w (chicken manure amount)=5.85:8.49:8.19), reaching the highest heating rate, the longest high temperature phase and the highest temperature in high temperature phase. T2 (5.85:7.425:6.825), was the second, T1 (7.02:7.425:8.19) and T4 (7.02:8.49:6.825) were the worst. The fermentation effect of T2 and T3 is better T1 and T4 based on the results of chemical indexes, such as pH, organic matter, C/N, NH4+-N, NH4+-N/NO3--N and total nutrient content. End facal coliform value of T1, T2, T3 and T4 was 1, 10-1, 10-2 and 1, respectively. GI of the four composting was 96.72%, 103.35%, 98.42% and 85.13%, respectively. Fermentation effects of T1, T2 and T3 were the same by fuzzy comprehensive evaluation method, gray correlation analysis method and attribute recognition method except T4. Better mature, better maturity reached for primary maturity and badly immature. In summary, the evaluation of compost fermentation effect should synthetically consider physical, chemical and biological indicators instead of a single index. Compared to other two methods, gray correlation analysis method is better suited for evaluating compost fermentation effect.