温室效应已成为重要的全球气候问题,而内陆水体是温室气体(CO_(2)和CH_(4))的重要排放源,更有研究发现筑坝蓄水可能引起河流水体CO_(2)和CH_(4)排放的增多。为积极响应国家“双碳”目标,使用水库温室气体净排放通量评估模型G-res Tool,...温室效应已成为重要的全球气候问题,而内陆水体是温室气体(CO_(2)和CH_(4))的重要排放源,更有研究发现筑坝蓄水可能引起河流水体CO_(2)和CH_(4)排放的增多。为积极响应国家“双碳”目标,使用水库温室气体净排放通量评估模型G-res Tool,利用流域基本信息及水库特征数据,对澜沧江干流已建成的10座梯级水库温室气体(CO_(2)和CH_(4))进行模拟计算,10座水库蓄水后温室气体(CO_(2)和CH_(4))年排放通量平均值为162.81 g CO_(2)e/(m^(2)·a),远低于全球水库平均水平,均表现为温室气体的“源”,从上游至下游整体呈增加趋势,且排放以CO_(2)为主,全年CO_(2)排放通量为CH_(4)的36倍。考虑了水库蓄水前的温室气体排放及其他非相关人类活动的影响后,得到澜沧江水库温室气体(CO_(2)和CH_(4))年净排放通量平均值为225.70 g CO_(2)e/(m^(2)·a),表明筑坝增加了库区水体温室气体排放,但和火力发电相比,仍属于相对清洁能源。展开更多
A preliminary analysis of some characteristics of the radiation components is made by using the surface radiation data obtained from February 1990 to January 1991 at Zhongshan Station. The result shows that the fluxes...A preliminary analysis of some characteristics of the radiation components is made by using the surface radiation data obtained from February 1990 to January 1991 at Zhongshan Station. The result shows that the fluxes of direct radiation and global radiation are strong with higher atmospheric transparency, and the surface can absorb large amount of radiation energy in warm season. The surface loses heat energy in cold season due to the seasonal variations of the surface albedo and shortwave radiation. The variation of net longwave radiation is related to cloud amount and surface air temperature. The property of net radiation is similar to other Antarctic coastal stations but differs greatly from Antarctic inland area.展开更多
文摘温室效应已成为重要的全球气候问题,而内陆水体是温室气体(CO_(2)和CH_(4))的重要排放源,更有研究发现筑坝蓄水可能引起河流水体CO_(2)和CH_(4)排放的增多。为积极响应国家“双碳”目标,使用水库温室气体净排放通量评估模型G-res Tool,利用流域基本信息及水库特征数据,对澜沧江干流已建成的10座梯级水库温室气体(CO_(2)和CH_(4))进行模拟计算,10座水库蓄水后温室气体(CO_(2)和CH_(4))年排放通量平均值为162.81 g CO_(2)e/(m^(2)·a),远低于全球水库平均水平,均表现为温室气体的“源”,从上游至下游整体呈增加趋势,且排放以CO_(2)为主,全年CO_(2)排放通量为CH_(4)的36倍。考虑了水库蓄水前的温室气体排放及其他非相关人类活动的影响后,得到澜沧江水库温室气体(CO_(2)和CH_(4))年净排放通量平均值为225.70 g CO_(2)e/(m^(2)·a),表明筑坝增加了库区水体温室气体排放,但和火力发电相比,仍属于相对清洁能源。
基金国家自然科学基金资助项目(12004275)Shanxi Scholarship Council of China(2020-042)山西省自然科学基金资助项目(20210302123186)。
文摘【目的】为了更精准地预测5G基站的流量,分析潮汐现象,提出一种优化的生成对抗网络(generative adversarial network,GAN)模型流量预测方法,并将其用于实际基站的定时控制中。【方法】GAN的生成器利用差分演化灰狼算法优化长短时记忆网络(long short term memory networks,LSTM),判别器使用门控循环神经网络(gated recurrent unit,GRU)进行判别,生成器和判别器利用不断地对抗训练达到均衡从而提高了5G基站流量的预测精度;其次,利用改进人工蜂群优化k-means++算法,将其用于输出最优基站定时时间,达到最大限度节能的目的。【结果】实验结果表明,与现有模型相比,所提预测模型有更高的预测精度,定时控制功能可极大地节约能耗。
基金The Project is supported by National Natural Science Foundation of ChinaState Antarctic Committee of China
文摘A preliminary analysis of some characteristics of the radiation components is made by using the surface radiation data obtained from February 1990 to January 1991 at Zhongshan Station. The result shows that the fluxes of direct radiation and global radiation are strong with higher atmospheric transparency, and the surface can absorb large amount of radiation energy in warm season. The surface loses heat energy in cold season due to the seasonal variations of the surface albedo and shortwave radiation. The variation of net longwave radiation is related to cloud amount and surface air temperature. The property of net radiation is similar to other Antarctic coastal stations but differs greatly from Antarctic inland area.
