The technic of rose otto production from Qinwei rose（Rosa damascena Mill cv. “Kazanluk”） was studied. The reflux distillation technic with two different distillation velocities in was a superior method to produce ...The technic of rose otto production from Qinwei rose（Rosa damascena Mill cv. “Kazanluk”） was studied. The reflux distillation technic with two different distillation velocities in was a superior method to produce otto. The quality of the otto was high in conformity with ISO 9842 and БДС 653. The optimum process was as follows: fresh flower, salting, distillation, segregation and product finally. The principal technic parameters were as follows∶salting （flower∶salt=4∶1,w/w） 1～25 d; 1∶4 of flower to water during distillation; distillation at 100 L·h-1 for 3 h first, and 125 L·h-1 for 1 h subsequently.展开更多
土壤盐渍化是干旱半干旱地区土地退化的主要原因之一,给当地生态系统和社会经济的可持续发展带来了严重的威胁,而对盐渍化空间分布信息的提取是治理盐渍化的基础。因此,选取生态脆弱区渭—库绿洲为研究区,利用2014年7月19日GF-1多光谱...土壤盐渍化是干旱半干旱地区土地退化的主要原因之一,给当地生态系统和社会经济的可持续发展带来了严重的威胁,而对盐渍化空间分布信息的提取是治理盐渍化的基础。因此,选取生态脆弱区渭—库绿洲为研究区,利用2014年7月19日GF-1多光谱影像数据,提取光谱指数及波段信息,结合实际采样点的土壤表层电导率数据（0~10 cm）,采用偏最小二乘回归模型（partial least squares regression,PLSR）对土壤盐渍化进行模拟,并对研究区盐渍化分布进行模拟和评估。结果表明：实测土壤表层电导率与光谱指数相关性较好;利用PLSR对渭—库绿洲土壤表层盐渍信息建模,对土壤盐渍化信息提取效果较好,精度较高;充分利用了GF-1影像包含的信息,提高了高分辨率遥感影像盐渍化信息提取的精度;非盐渍化和轻度盐渍化面积分别占总面积的42.88%和17.16%,绿洲中部偏东及东南区域,盐渍化现象稍弱,可成为今后绿洲扩张的重点方向;而中度盐渍化、重度盐渍化和盐土面积分别占总面积的29.51%、8.57%和1.88%,绿洲北部/西部及西南方向的重度盐渍化区域紧挨绿洲区域,已严重威胁了绿洲经济的健康发展,亟待治理。展开更多
文摘The technic of rose otto production from Qinwei rose（Rosa damascena Mill cv. “Kazanluk”） was studied. The reflux distillation technic with two different distillation velocities in was a superior method to produce otto. The quality of the otto was high in conformity with ISO 9842 and БДС 653. The optimum process was as follows: fresh flower, salting, distillation, segregation and product finally. The principal technic parameters were as follows∶salting （flower∶salt=4∶1,w/w） 1～25 d; 1∶4 of flower to water during distillation; distillation at 100 L·h-1 for 3 h first, and 125 L·h-1 for 1 h subsequently.
文摘土壤盐渍化是干旱半干旱地区土地退化的主要原因之一,给当地生态系统和社会经济的可持续发展带来了严重的威胁,而对盐渍化空间分布信息的提取是治理盐渍化的基础。因此,选取生态脆弱区渭—库绿洲为研究区,利用2014年7月19日GF-1多光谱影像数据,提取光谱指数及波段信息,结合实际采样点的土壤表层电导率数据（0~10 cm）,采用偏最小二乘回归模型（partial least squares regression,PLSR）对土壤盐渍化进行模拟,并对研究区盐渍化分布进行模拟和评估。结果表明：实测土壤表层电导率与光谱指数相关性较好;利用PLSR对渭—库绿洲土壤表层盐渍信息建模,对土壤盐渍化信息提取效果较好,精度较高;充分利用了GF-1影像包含的信息,提高了高分辨率遥感影像盐渍化信息提取的精度;非盐渍化和轻度盐渍化面积分别占总面积的42.88%和17.16%,绿洲中部偏东及东南区域,盐渍化现象稍弱,可成为今后绿洲扩张的重点方向;而中度盐渍化、重度盐渍化和盐土面积分别占总面积的29.51%、8.57%和1.88%,绿洲北部/西部及西南方向的重度盐渍化区域紧挨绿洲区域,已严重威胁了绿洲经济的健康发展,亟待治理。
