This paper established sustainable land resources evaluating indicators fit for hilly area in Sichuan Basin, Southwest of China, and evaluated the case of sustainable land management of Lezhi County from 1990 to 2001....This paper established sustainable land resources evaluating indicators fit for hilly area in Sichuan Basin, Southwest of China, and evaluated the case of sustainable land management of Lezhi County from 1990 to 2001. The result showed that the land resource sustainable utilization ability in Lezhi County is belong to Second level （better sustainable）. Secondly, this paper diagnosed some years obstacles of sustainable land management of Lezhi County from base period to goal period and compared the obstacles factors in the indicators system. There were 16 indexes orderly become major affect factor to land sustainable utilization of Lezhi county in indicator system, of which there are 8 obstacles indexes exist both in 1990 and 2001. The value of obstacles degree of five indicators exceeded 5 in 1990, but in 2001, only two indicators＇ values were more than 5.展开更多
文摘This paper established sustainable land resources evaluating indicators fit for hilly area in Sichuan Basin, Southwest of China, and evaluated the case of sustainable land management of Lezhi County from 1990 to 2001. The result showed that the land resource sustainable utilization ability in Lezhi County is belong to Second level （better sustainable）. Secondly, this paper diagnosed some years obstacles of sustainable land management of Lezhi County from base period to goal period and compared the obstacles factors in the indicators system. There were 16 indexes orderly become major affect factor to land sustainable utilization of Lezhi county in indicator system, of which there are 8 obstacles indexes exist both in 1990 and 2001. The value of obstacles degree of five indicators exceeded 5 in 1990, but in 2001, only two indicators＇ values were more than 5.
文摘避碰稳定性直接关乎无人艇航行安全,传感器对障碍速度观测的不确定性会导致避碰策略出现跳动,严重降低避碰稳定性.提出不确定性条件下的速度障碍(uncertain velocityobstacle, UVO)算法,在碰撞风险评估中采用自适应阈值的最近会遇点(closest point ofapproach, CPA)法,基于国际海事避碰规则(International Regulations for Preventing Collisions at Sea,COLREGS)建立边界缓冲区,从宏观上提升避碰过程的稳定性.为了减少无人艇避碰角度的变化次数,在无人艇的速度空间中对不确定性条件下的速度障碍(velocity obstacle,VO)区进行建模,并采用梯度下降法在代价空间进行局部寻优,从微观上提升避碰策略的稳定性.在仿真平台下进行UVO算法和VO算法的对比实验,结果表明UVO 算法的避碰策略跳动次数、避碰成功率和最近会遇距离3项指标均优于VO算法.在实艇海试中进行了对遇、交叉、追越等典型会遇场景的避碰实验,无人艇均能安全避过运动目标.实验结果证明了UVO算法具有较好稳定性和安全性.
