Planting density affected biomass and grain yield of maize for seed production in an arid region of Northwest China

Field experiments were conducted from 2012 to 2015 in an arid region of Northwest China to investigate the effects of planting density on plant growth, yield, and water use efficiency（WUE） of maize for seed production. Five planting densities of 6.75, 8.25, 9.75, 11.25 and 12.75 plants/m^2 were conducted in 2012, and a planting density of 14.25 plants/m^2 was added from 2013 to 2015. Through comparison with the Aqua Crop yield model, a modified model was developed to estimate the biomass accumulation and yield under different planting densities using adjustment coefficient for normalized biomass water productivity and harvest index. It was found that the modified yield model had a better performance and could generate results with higher determination coefficient and lower error. The results indicated that higher planting density increased the leaf area index and biomass accumulation, but decreased the biomass accumulation per plant. The total yield increased rapidly as planting density increased to 11.25 plants/m^2, but only a slight increase was observed when the density was greater than 11.25 plants/m^2. The WUE also reached the maximum when planting density was 11.25 plants/m^2, which was the recommended planting density of maize for seed production in Northwest China.

Estimating canopy closure density and above-ground tree biomass using partial least square methods in Chinese boreal forests

Boreal forests play an important role in global environment systems. Understanding boreal forest ecosystem structure and function requires accurate monitoring and estimating of forest canopy and biomass. We used partial least square regression （PLSR） models to relate forest parameters, i.e. canopy closure density and above ground tree biomass, to Landsat ETM＋ data. The established models were optimized according to the variable importance for projection （VIP） criterion and the bootstrap method, and their performance was compared using several statistical indices. All variables selected by the VIP criterion passed the bootstrap test （p〈0.05）. The simplified models without insignificant variables （VIP 〈1） performed as well as the full model but with less computation time. The relative root mean square error （RMSE%） was 29% for canopy closure density, and 58% for above ground tree biomass. We conclude that PLSR can be an effective method for estimating canopy closure density and above ground biomass.

Increasing the appropriate seedling density for higher yield in dry direct-seeded rice sown by a multifunctional seeder after wheatstraw return

Dry direct-seeded rice(DDR) sown using a multifunctional seeder that performs synchronous rotary tillage and sowing has received increased attention because it is highly efficient,relatively cheap,and environmentally friendly.However,this method of rice production may produce lower yields in a rice–wheat rotation system because of its poor seedling establishment.To address this problem,we performed field experiments to determine the rice yield at five seedling density levels(B1,B2,B3,B4,and B5=100,190,280,370,and 460 seedlings m-2,respectively) and clarify the physiological basis of yield formation.We selected a representative high-quality rice variety and a multifunctional seeder that used in a typical rice–wheat rotation area in 2016 and 2018.The proportion of main stem panicle increased with increasing seedling density.There was a parabolic relationship between yield and seedling density,and the maximum yield(9.34-9.47 t ha-1) was obtained under B3.The maximum yield was associated with a higher total spikelet number m-2 and greater biomass accumulation from heading to maturity.The higher total spikelet number m-2 under B3 was attributed to an increase in panicle number m-2 compared with B1 and B2.Although the panicle numbers also increased under B4 and B5,these increases were insufficient to compensate for the reduced spikelet numbers per panicle.Lower biomass,smaller leaf area,and lower N uptake per plant from the stem elongation stage to the heading stage were partially responsible for the smaller panicle size at higher seedling density levels such as B5.The higher biomass accumulation under B3 was ascribed to the increases in the photosynthetic rate of the top three leaves m-2 of land,crop growth rate,net assimilation rate,and leaf area index.Furthermore,the B3 rice population was marked by a higher grain–leaf ratio,as well as a lower export ratio and transport ratio of biomass per stem-sheath.A quadratic function predicted that 260-290 seedlings m-2 is the optimum seedling density for achieving maximum yield.Together,these results suggested that appropriately increasing the seedling density,and thereby increasing the proportion of panicles formed by the main stem,is an effective approach for obtaining a higher yield in DDR sown using a multifunctional seeder in a rice–wheat rotation system.

Yield-density effects on growth and biomass partitioning in Leucaena leucocephala seedlings

Experiments were conducted to study the effects of density on growth and biomass partitioning of Leucaena leucocephala seedlings.Four plantations with densities of 10,000,20,000,40,000,and 80,000 seedlings ha^-1 were evaluated only from 15 to 25 months after planting.At 15 months,crown height and width decreased with increasing density.Seedling height/dbh ratios increased with increasing density.Biomass increased with greater density according to the yield–density effect equation,which was evident for all densities.With increasing age,biomass division to branches and leaves increased,whereas partitioning to roots decreased in the 10,000 and 20,000 seedlings ha-1 plantings.Partitioning to branches and leaves remained relatively steady,while partitioning to roots increased in the 40,000 and 80,000 seedlings ha^-1 plantings.Biomass division into stem and bark components remained relatively steady in all densities.Yield–density and organ yield–density curves shifted upward with increasing seedling age on a log–log graph throughout the experimental period.

Forest biomass density,utilization and production dynamics in a western Himalayan watershed

There is enough evidence to show that the forest biomass has decreased significantly in the Indian Himalayan state of Himachal Pradesh. The government has responded through restrictive measures to check this decline. Using tree biomass as proxy for degradation, we assessed the current state of biomass within dominant land use types and examined its implications for sustainability. The highest above-ground mean tree biomass density of 1158 t·ha-1 was recorded for the reserved forest followed by 728, 13, 11, 8, 5 and 3 t·ha-1in the protected forest, fallow land, cultivated-unirrigated land, grassland, orchard land and cultivated-irrigated land respectively. Of the total ac- cessible biomass, only 0.31% was extracted annually by the local people for fuel, fodder and other uses. Though, the current level of ex- traction may be sustainable in the short run, insufficient regeneration is observed for long term sustainability. Forest biomass production was simulated for the next 30 years with a logistic growth model and the relative significance of input variables in influencing system be- haviour was analysed through sensitivity analysis. The model results highlighted the declining forest resources in the long run. Positive response through appropriate government policies can, however, change the scenario for the better.

The Status of Canopy Density and above Ground Biomass along the Northern Coastal Forest Zone of Tanzania

Canopy density and forest biomass estimation are critical for understanding of the carbon cycle, climate change and detecting health status of the forest ecosystems. This study was conducted on the coastal forests reserves in Zanzibar and mainland Tanzania. A systematic sampling design was used to establish a total of 110 temporary sample plots in all study sites. The stratification of the forests was adopted to identify closed forest patches with less anthropogenic effects. The study assessed the forest canopy density and above ground biomass with relative carbon stock for closed forest classes. Jozani Chwaka Bay National Park in Zanzibar recorded higher average canopy densities of 63% followed by Ngezi (46%), Pugu forests (26%) and Kazimzumbwi (16%). However, Ngezi forest had higher forest biomass than all study sites with the overall mean AGB of 138.5 tAGB/ha equivalent to carbon stock of 67.9 tC/ha. Tree species, Bombax rhodognaphala (Msufi mwitu) and Antiaris toxicaria (Mgulele) recorded the highest biomass of 1099 tABG/ha and 703 tAGB/ha (equivalent to 538 tC/ha and (345 tC/ha)) respectively. The study revealed that about 35% of the total closed forest patches at Pugu FR were covered by lower canopy density which accounted about 490 ha. Kazimzumbwi FR was dominated by lower canopy density which represented about 64% of the total forest cover area (1750 ha).

Quantifying Shoot Density and Biomass of Seagrass Beds in the Central Coast of Vietnam

This study was conducted to provide a comprehensive database of shoot density and biomass characteristics of seagrass beds in several coastal waters in Central Vietnam.The survey process of the characteristics related to shoot density and biomass of seagrass beds was carried out mainly in the dry season(from April to September)during the period from 2017-2019.The data were collected at six sampling locations in Lang Co lagoon,Thua Thien Hue Province;five sampling locations at Cua Dai estuary in Quang Nam Province and Van Phong bay,Khanh Hoa Province;and finally in Ly Son MPA(Marine Protected Area)with nine sampling locations.The characteristics of shoot density collected through the field surveys obtained the difference in the Central Coast region.DW(Dry Weight)biomass of seagrass in Lang Co lagoon and Cua Dai estuary reached 76.56±52.38(g DW)/m2 and 53.21±57.66(g DW/m2),respectively dominated by Thalassia hemprichii and Halodule pinifolia in Lang Co lagoon and Cua Dai Estuary,respectively.The rate of above-and below-ground biomass was different.Seagrass species tended to grow below-ground part compared to above-ground part.The study results would be a significant database on environmental informatics to promote the sustainable management of seagrass resources in the central coastal areas of Vietnam.

Developing allometric equations to estimate forest biomass for tree species categories based on phylogenetic relationships

The development of allometric biomass models is important process in biomass estimation because the reliability of forest biomass and carbon estimations largely depends on the accuracy and precision of such models.National Forest Inventories(NFI)are detailed assessments of forest resources at national and regional levels that provide valuable data for forest biomass estimation.However,the lack of biomass allometric equations for each tree species in the NFI currently hampers the estimation of national-scale forest biomass.The main objective of this study was to develop allometric biomass regression equations for each tree species in the NFI of China based on limited biomass observations.These equations optimally grouped NFI and biomass observation species according to their phylogenetic relationships.Significant phylogenetic signals demonstrated phylogenetic conservation of the crown-to-stem biomass ratio.Based on phylogenetic relationships,we grouped and matched NFI and biomass observation species into 22 categories.Allometric biomass regression models were developed for each of these 22 species categories,and the models performed successfully(R^(2)=0.97,root mean square error(RMSE)=12.9​t·ha^(–1),relative RMSE=11.5%).Furthermore,we found that phylogeny-based models performed more effectively than wood density-based models.The results suggest that grouping species based on their phylogenetic relationships is a reliable approach for the development and selection of accurate allometric equations.

湖北杉木人工林生物量及其可变密度预估模型研究

利用6~59年生杉木人工林190个标准地资料和517株样木生物量测定数据,以建立的单木生物量估算方程为基础推算出各林分单位面积生物量,并基于林龄、立地指数以及7种不同林分密度指标构建并选择最优的全林分生物量预估方程,研究湖北杉木人工林林分生物量及其变化规律。结果表明:该区域杉木人工林平均单株生物量为52.8893 kg,以胸径和树高为变量的二元单木生物量方程的拟合优度为0.91,其拟合优度和精度更高;林分平均单位面积生物量为101.4923 t/hm^(2),总体上呈随林龄增加而增大的趋势;基于多元回归技术的经验方程构建了含7个林分密度指标和不含密度指标共计16种林分生物量预估模型,包含林分立木株数和林木大小信息的林分密度指标的模型均达到了较理想的拟合效果,其中密度指数SDI的Schumacher修正收获模型精度最高,确定系数为0.95,检验精度为97%,对本区域杉木生物量估算具有较好的适用性,能为其人工林经营和质量提升提供参考与支持。

城市绿地乔木固碳能力及碳抵消效果评估

定量测算城市绿地乔木固碳能力及抵消碳排放,可为森林城市建设的树种选择和配置提供决策支持。基于高清卫星遥感影像数据和有关经济社会统计数据,结合实地调查,利用生物量模型法测算南充市主城区绿地乔木的固碳能力,探讨群落结构与固碳能力的影响;分析抵消城市能源CO_(2)排放的成效。结果表明:1)南充市主城区绿化植被中木本植物共269种,分属76科163属。出现频度最高的为桂花、银杏、黄葛树、天竺桂、樟木、樱花等10个树种。2)各类绿地林分平均密度677±425株·hm^(-2),平均胸径21.01±7.15 cm,平均树高8.52±2.06 m。3)各类绿地碳密度按大小为广场用地>附属绿地>公园绿地>防护绿地;固碳速率最大的是附属绿地(2.54 t·hm^(-2)·a^(-1)),最小的是公园绿地(1.64 t·hm^(-2)·a^(-1))。4)南充市主城区绿地乔木2020年碳固定量为9 347 t,能源CO_(2)总排放量为1 016.55万t,绿地乔木大约抵消城市能源0.09%CO_(2)的排放量。最后,建议南充市在城市森林营建过程中,应优先考虑多树种混合使用,并适时调整群落密度以优化林分结构、改善生境条件,促进林木整体水平的生长,进而提高群落的固碳能力;同时尽量采用近自然、较为粗放的经营方式,以减少碳排放。

毛乌素沙地羊柴人工林生物量特征及固碳能力研究

为了巩固和提升沙地生态系统的碳汇能力,本研究选择毛乌素沙地羊柴(Corethroden‐dron fruticosum)人工林为研究对象,分析了不同林龄羊柴人工林的植被层、枯落物层、土壤层的生物量及碳密度特征。结果显示:羊柴地上生物量从8 a生到17 a生增加了1.76倍,而草本层生物量、枯落物层生物量差异不显著。羊柴的平均碳含量为48.11%,草本层的平均碳含量为42.83%,枯落物层的碳含量为42.29%。随着林龄增加,羊柴人工林碳密度显著增加(P<0.05),灌木层碳密度增长了175%,草本层增长了6.89%,枯落物层增长了15.12%,土壤有机碳含量增长了16.69%。研究表明,不同林龄的林分生物量存在较大差异,开展不同环境条件、林分结构下植被的生物量及碳密度研究,可为准确估算林分固碳能力提供科学依据。

使用二类调查数据对森林碳储量评估及多因素预测

为及时且准确地估算森林碳储量,以湖南省怀化市靖州县排牙山国有林场为研究对象,使用森林资源二类调查数据,在分树种(组)及龄组的情况下,采用联合国政府间气候变化专门委员会(IPCC)材积源生物法估算了研究区林场碳储量、碳密度及其分布。运用空间代替时间法,筛选碳储量的影响因子并对其量化,验证多因素方法预测的准确性。结果表明:林场乔木林总碳储量为192 508.07 t,林分平均碳密度为34.46 t·hm^(-2)。在人工抚育的林分中通过用胸径、株数密度、树种组成多样性因素参数化的多因素方法对碳储量进行量化。其预测结果较精确,而在大面积天然林中使用该方法结果则存在一定误差。碳储量多因素预测模型可以在较大面积的人工林中进行碳储量预测。

岷江上游干旱河谷地区油松和岷江柏细根生物量和根长密度

了解岷江上游干旱河谷地区12年生油松(Pinus tabulaeformis)和岷江柏(Cupressus chengiana)人工林细根(直径≤2 mm)生物量和根长密度在土层中的垂直分布状况,分析不同土层中细根系统的碳分配策略,为岷江上游干旱河谷地区植被恢复提供理论依据。以岷江上游干旱河谷地区的油松和岷江柏人工林为研究对象,采用土钻法进行取样,测定2种林分不同土层深度(h)(0 cm<h≤15 cm和15 cm<h≤30 cm)中吸收根(1~3级)和运输根(≥4级的细根)生物量和根长密度,以及吸收根占总细根生物量和根长密度比例。结果显示:油松和岷江柏吸收根生物量和根长密度在0 cm<h≤15 cm土层均显著高于15 cm<h≤30 cm土层,而运输根生物量和根长密度在土层间差异均不显著;油松和岷江柏吸收根占总细根生物量和根长密度比例在0 cm<h≤15 cm土层均显著高于15 cm<h≤30 cm土层(P<0.05);岷江柏吸收根占总细根生物量和根长密度比例在2个土层中均显著高于油松(P<0.05)。研究结果表明,在养分有效性最高的土壤表层,油松和岷江柏细根系统内将更多的碳分配到吸收根。

黄河三角洲互花米草功能性状及其影响因素

互花米草功能性状能够表征其对环境的适应策略。本研究在黄河三角洲调查了互花米草密度、株高、生物量和繁殖能力等特征。结果表明:五号桩互花米草密度、根冠比和生物量均高于其他采样点,种子产量显著低于其他采样点(P<0.05);互花米草入侵年限较短的一千二站和大汶流站互花米草的结穗密度和结穗率显著高于其他站点(P<0.05);互花米草成体密度、地上和地下生物量分别与土壤电导率(EC)及土壤总氮(TN)含量呈显著正相关(P<0.05),表明互花米草群落及个体生长受土壤水盐及养分条件制约。不同采样点的互花米草群落功能性状主要受入侵年限影响,入侵早期阶段治理更为有利,同时应考虑土壤环境因素、互花米草有性和无性繁殖状态。研究结果可为滨海湿地入侵植物互花米草的有效控制及管理提供参考。

露天煤矿人工林植被碳密度分配格局及其影响因素

定量研究露天煤矿人工林植被碳密度分配格局及其影响因素,进而为矿区森林碳汇服务功能的提升提供数据基础。本研究以安太堡矿区排土场油松(Pinus tabulaeformis)、小叶杨(Populus microphylla)、加拿大杨(Populus canadensis)、刺槐(Robinia pseudoacacia)、榆树(Ulmus pumila)和刺槐-榆树混交林为研究对象,基于样地本底调查和异速生长方程法,测定了不同人工林的碳密度及空间分布格局。加拿大杨林植被碳密度(36.95 t·hm-2)显著高于其他人工林(P<0.05),密植油松林植被碳密度显著高于疏植油松林(P<0.05);人工林各组分碳密度整体表现为:乔木层>凋落物层>草本层、灌木层(P<0.05),其中,乔木层碳密度占植被碳密度的78.3%~93.6%,表明人工林植被碳密度以乔木层为主;人工林乔木层树干中碳密度显著高于根、枝和叶(P<0.05),加拿大杨林树干碳密度显著高于刺槐林和刺槐-榆树混交林,密植油松林显著高于疏植油松林。乔木层和凋落物层碳密度均与林分密度显著正相关,与草本高度和盖度显著负相关,且乔木层碳密度与乔木高度显著正相关(P<0.05)。从固碳功能来看,安太堡煤矿排土场复垦合理密植油松和加拿大杨,有利于矿区的生态恢复,从而实现生态环境安全的可持续发展。

油松主要分布区林分碳储量特征与固碳潜力

根据北京市、河北省、辽宁省、陕西省、内蒙古自治区的油松(Pinus tabuliformis)资源二类调查数据,使用材积源生物量法结合油松含碳率计算中国油松主要分布区油松林碳储量与碳密度,分析不同地区、龄组、林种、起源的油松林碳储量分布特征与固碳潜力。结果表明:油松5个主要分布区的油松林总面积为243.09万hm^(2)、总蓄积为11175.75万m^(3)、总碳储量为5043.38万t,平均碳密度为20.75 t·hm^(-2)。油松天然林碳储量为1660.14万t,碳密度为25.77 t·hm^(-2)。油松人工林碳储量为3383.24万t,碳密度为18.94 t·hm^(-2)。油松人工林碳储量高于天然林,占全部碳储量的67.08%。不同龄组中,碳储量最大是油松中龄林,为2032.38万t,占全部碳储量的40.30%;碳储量最小的为过熟林,占全部碳储量的2.32%。油松各龄组平均碳密度随林龄的增加而增加。不同林种中,碳储量来源主要为防护林及用材林,共为4360.45万t,占全部碳储量的86.46%。5处主要分布区的油松林固碳潜力为5285.63万t,相当于现有油松碳储量的1.88倍,其中,中幼龄林固碳潜力为4904.46万t,是油松林固碳潜力所在。油松林具有明显的固碳增汇能力,其人工林为油松碳库的主体,中幼龄油松林具有巨大的固碳潜力,需加强油松人工中幼龄林的抚育及管理。

土壤水分和种植密度对紫花苜蓿生物量分配的影响

为探寻生物量分配对不同土壤水分和种植密度互作的响应规律,为生产管理中通过种植密度和土壤含水量耦合管理来调控植物生物量分配,提高水分利用效率和植物生产力,完善植物适应环境因素的机制研究,本研究以紫花苜蓿(Medicago sativa)为材料,通过盆栽试验分析了不同土壤水分85%~90%(W_(1))、75%~80%(W_(2))、60%~65%(W_(3))、35%~40%(W_(4))的土壤饱和含水量和不同种植密度10(D_(1))、15(D_(2))、20(D_(3))株·盆^(−1)对紫花苜蓿生物量分配的影响。结果表明,土壤水分显著影响紫花苜蓿的叶生物量、茎生物量、单株地上生物量、地上生物量、地下生物量、根冠比(P<0.05),随土壤水分的减少,均呈先增加后降低趋势,峰值均出现在土壤水分含量为土壤饱和含水量的75%~80%时。种植密度显著影响紫花苜蓿单株地上生物量、地下生物量和根冠比(P<0.05),随种植密度增大,单株地上生物量呈先增高后降低趋势,种植密度为15株·盆^(−1)时,地下生物量和根冠比则呈增高趋势。土壤水分和种植密度互作只显著影响了紫花苜蓿的单株地上生物量(P<0.05),在土壤水分为土壤饱和含水量的75%~80%,种植密度为15株·盆^(−1)时,紫花苜蓿单株地上生物量有最大值,为5.00 g。这一结果说明紫花苜蓿可以通过调节地上、地下生物量的分配来适应土壤水分和种植密度条件,提高其水分利用效率和产量。

间伐保留密度对杉木人工林生长和生物量分配的影响

[目的]了解不同间伐保留密度下,杉木人工林生长和乔木层各器官生物量的变化规律及其分配特征。[方法]以9年生杉木人工林为研究对象,设置1200(D_(1))、1800(D_(2))和2250株·hm^(-2)(D_(3))等3种间伐保留密度,于间伐第6年比较不同间伐保留密度下杉木单株及林分的树枝、树叶、树干、树皮和树根的生物量及分配特征。[结果](1)林分平均胸径随间伐保留密度增大而减小,且D_(1)处理显著大于D_(2)、D_(3)处理(P<0.05);间伐对平均树高影响不显著;平均单株材积随间伐保留密度的增大而减小,表现为:D_(1)>D_(2)>D_(3),蓄积量表现为:D_(3)>D_(2)>D_(1)。(2)杉木单株宿存枯枝和枯叶生物量表现为:D_(1)>D_(2)>D_(3),宿存枯枝、枯叶生物量的分配比例分别为73.62%~74.81%、25.19%~26.38%;单株鲜枝和鲜叶生物量表现为:D_(1)>D_(2)>D_(3),单株鲜枝、鲜叶生物量分配比例分别为48.06%~49.77%、50.23%~51.94%。(3)不同间伐保留密度下,宿存枯枝、宿存枯叶、鲜枝、鲜叶生物量均随着垂直空间高度的增大呈现先增大后减小的趋势,宿存枯枝和枯叶生物量在6~8 m区段最高,鲜枝和鲜叶生物量在8~10 m区段最高。(4)杉木单株各器官生物量表现为:D_(1)>D_(2)>D_(3),杉木林分各器官生物量表现为:D_(3)>D_(2)>D_(1)。杉木各器官生物量所占比例均表现为:树干>树枝>树根>树叶>树皮,其中树干所占比例为50.69%~52.43%、树枝为14.57%~15.30%、树根为13.00%~14.13%、树叶为11.59%~12.65%、树皮为8.17%~8.36%。[结论]在一定间伐保留密度下,低间伐保留密度能促进杉木人工林的生长、增大单株各器官生物量,有利于林木培养,高间伐保留密度则能增加林分各器官的生物量。在一定垂直空间高度下,宿存枯枝及枯叶、鲜枝及鲜叶生物量均随着高度的增大呈现先升后降的趋势。

深圳建成区城市绿地乔木层碳密度估算及分布特征

为揭示深圳建成区城市绿地乔木层碳密度的空间分布特征及影响因素,基于树木异速生长模型对深圳各行政区不同城市绿地类型及不同龄林碳密度进行估算与分析。结果表明:1)深圳城市绿地乔木层平均碳密度为(4.494±0.345)kg·m^(-2);不同乔木林龄组碳密度存在较大差异,其中成熟林碳密度最高,近熟林、中龄林次之,幼龄林最低。2)不同类型的绿地乔木层碳密度差异较大,公园绿地乔木层平均碳密度最高(5.436±0.498 kg·m^(-2)),附属绿地次之(2.866±0.323 kg·m^(-2)),广场绿地最低(2.230±0.405 kg·m^(-2))。3)不同行政区绿地乔木层碳密度也存在较大差异,福田区、宝安区、罗湖区城市绿地乔木层的平均碳密度较高,光明区、龙岗区及龙华区相对较低。4)平均胸径、平均树高、林分密度、郁闭度和平均冠幅对城市绿地的乔木层碳密度影响显著(P<0.01),而材积密度与乔木层碳密度之间影响较弱。因此,通过在碳密度较低的绿地内适度增加乔木种植密度和大冠幅乔木,将会有效促进深圳市城市绿地固碳能力的提升。

基于含油污泥和生物质联合热压的颗粒燃料制备和油回收

针对膏糊状含油污泥三相分离难和成型难的瓶颈,提出了含油污泥和生物质联合热压的方法,以生物质作为骨架添加剂,改善含油污泥的孔隙率和抗压强度,通过热压制备高性能颗粒燃料并联合回收高品质油.结果表明,含油污泥在热压作用下实现了固液分离,得到了高品质的颗粒燃料和液体油.在含油污泥-生物质共成型过程中,含油污泥中的胶质和沥青质在颗粒中起到黏合作用,而油作为润滑剂减轻了颗粒和模具之间的摩擦.在物料(含油污泥和木屑)混合比为1∶1,成型压力为50 MPa,温度为150℃时,成型颗粒的硬度达到40.4 N/mm^(2),且成型颗粒保持稳定.成型颗粒的能量密度明显增大,热值达到20995 kJ/kg,可作为高性能的颗粒燃料.同时回收的13.1%的油富含饱和烃、芳香烃、胶质等成分,便于进一步的利用.