Geochemical modeling,fate distribution,and risk exposure of potentially toxic metals in the surface sediment of the Shyok suture zone,northern Pakistan

The objective of the current study was to assess the contamination of potentially toxic metals (PTMs) in weathered surface sediment, along stream tributaries, and surrounding area of the river Chitral, Shyok suture zone district Chitral, Pakistan. To understand the geochemical features of 113 sediment, samples were collected from the Mirkhani and Drosh area. Then, different statistical tools including the geo-accumulation index (Igeo), cluster analysis (CA), principal component analysis (PCA), and ecological risk assessment (ERA) were used to unravel the origin, intensity, and exposure level of PTMs to control risk and restore the ecosystem within the study area. The results for the PTMs namely nickle (Ni), chromium (Cr), copper (Cu), cadmium (Cd), lead (Pb), zinc (Zn), and cobalt (Co) in Mirkhani and Drosh were in the following ranges: 10–150, 15–210, 15–250, 0.08–1.00, 10–70, 76–240 and 14–51; and 13–240, 17–210, 15–150, 0.08–0.60, 7–140, 47–150 and 13–36 mg/kg, respectively. In consequence, the potential ecological risk caused by Pb, Ni, Cu, Co, Cr, and Zn is reflected by the percentages of samples with an ecological risk index (ERI) greater than one which were 100%, 91%, 100%, 100%, 92%, and 100%, respectively. However, the overall mean decreasing order of ecological risk of PTMs in the district Chitral was Pb > Ni > Cu > Co > Cr > Zn > Cd. Moreover, the PCA yielded 78% variability which indicated that mineral prospects play an important role in the contamination of sediment. Furthermore, the mineral phases of Pb and Zn suggested supersaturation, while that for Cd revealed unsaturation. The results of Igeo, ERI, and CA indicated contamination of PTMs in the study area. The ERI value of Pb, Ni, Cu, Co, Cr, and Zn was higher than 1 suggesting an ecological risk in the study area. Moreover, the current study showed the dominance of geogenic contamination with major contributions from ultramafic rock and known mineral prospects. Therefore, contaminated sediment of the Shyok suture zone is extremely detrimental to the aquatic ecosystem of the study area.     

哈萨克斯坦地震地下流体监测、预测的现状及其震兆异常特征的分析

40多年来,哈萨克斯坦地震地下流体观测台网历经初期建网、系统清理、政策调整和优化提高4个阶段,目前已形成与中国北京地区流体监测网相当的规模。分析了哈萨克斯坦流体监测台网的地位、台站分布、观测项目、仪器配置及地震分析预测情况。最后,分析了哈萨克斯坦地震地下流体观测资料的特点,并就哈萨克斯坦流体交换资料的震兆异常特征进行了初步总结。     

1971—2000年我国东部地区雷暴、冰雹、雷暴大风发生频率的变化

提要：应用1971—2000年华北、华中、华东各省1084个站的地面天气现象观测资料,统计分析了江南（31°N以南）、江淮和黄淮（31°～37°N）及黄河以北（37°N以北）雷暴、冰雹和雷暴大风的年代际变化特征。分析结果表明：雷暴、冰雹、雷暴大风发生频率呈减少趋势。其中江南地区雷暴年代际递减更明显,黄河以北地区冰雹年代际递减最明显,而雷暴大风在三个区域的年代际递减均明显。雷暴大风常与冰雹伴随发生,高原和山地多于平原,高值区位于华北北部和内蒙古中部。对流性天气的减少与水汽和动力条件的减弱有关系。包含热力、动力和水汽条件的综合指数SWEAT无论在空间分布上,还是在30年的演变趋势上,均与对流性天气的分布和演变趋势表现出相似的特征。     

中国地区云对地气系统太阳短波吸收辐射强迫的气候研究

本文利用地球辐射平衡试验（ＥＲＢＥ）和国际卫星云气候计划（ＩＳＣＣＰ）提供的总云量、行星反射率资料,计算并分析了我国年、月平均云对地气系统太阳短波吸收辐射的强迫及其敏感性系数,揭示了它们之间的关系,最后绘制了地气系统短波辐射云强迫的全国分布图。结果表明：我国地气系统短波辐射云强迫及其敏感性系数都与总云量有较好的非线性相关,呈幂指数形式,且季节变化明显。短波辐射云强迫的地理分布与总量配合较好。     

中国地表感热的气候计算及其分布

讨论了我国地表感热的气候计算问题,提出以鲍文比法为基础的感热气候计算式,并据此计算出全国215站月、年平均感热通量密度,进而分析了其在全国的时空分布特点。     

介休市近53年来的温度变化特征及分析

根据介休市气象局1954年-2006年的气温资料,分析了介休市近53年来的温度变化。结果表明：近53年来介休市气温呈上升趋势,上升速度显著高于全国水平,上世纪90年代中期以来这种趋势尤为明显;以20世纪90年代中期为界,近53年来介休市气候分冷、暖两个阶段,前为冷期,后为暖期。     

1961—2012年中国冬半年霾日数的变化特征及气候成因分析

利用全国664站1961—2012年逐日霾观测资料、降水量、平均风速和最大风速资料,分析中国霾日数变化特征及其气候成因。结果表明：我国年霾日数分布呈明显东多西少特征,中东部大部地区年霾日数在5～30 d,部分地区超过30 d,西部地区基本在5 d以下。霾日数主要集中在冬半年,冬季最多,秋季和春季次之,夏季最少,12月是霾日数最多的月份,约占全年霾日数的2成。我国中东部地区冬半年平均霾日数呈显著的增加趋势（1.7 d/10a）,霾日数显著增加时段主要在1960年代、1970年代和21世纪初,在1970年代初和21世纪初发生了明显均值突变。从区域分布来看,华南、长江中下游、华北等地霾日数呈增加趋势,而东北、西北东部、西南东部霾日数呈减少趋势。持续性霾过程增加,持续时间越长的霾过程比持续时间短的霾过程增加更为明显。不利的气候条件加剧了霾的出现。霾日数与降水日数在中东部地区基本以负相关为主,中东部冬半年降水日数呈减少趋势（-4 d/10a）,表明降水日数的减少导致大气对污染物的沉降能力减弱。另一方面,霾日数与平均风速和大风日数以负相关为主,而与静风日数则以正相关为主,冬半年平均风速和大风日数减小,静风日数增加,表明风速减小导致空气中污染物不易扩散,从而更易形成霾天气。     

川东南地区志留系龙马溪组页岩气有利区评价优选

通过对川东南地区志留系龙马溪组页岩有机质丰度、热成熟度、有机质类型、脆性矿物含量、页岩层厚度、埋藏深度、构造形态等七大地质因素的综合分析,认定该区分布广泛的页岩有机质含量较高,有机质类型较好,热演化程度高,生烃潜力大,具备形成页岩气藏的气源条件。页岩厚度较大,埋深较浅,脆性矿物含量较大,页岩气的保存条件良好,有利于页岩气的压裂与开采。     

人类活动对气候影响的研究Ⅱ.对东亚和中国气候变化的影响

系统总结和介绍了20世纪90年代以来作者所开展的有关人类活动对东亚和中国气候影响的一系列研究活动.其中包括温室气体辐射强迫及其气候效应,大气微量气体的全球增温潜能,对流层和平流层气溶胶的辐射气候效应,气候系统外部因子对中国气候影响的总体评估,人类活动对中国和东亚地区未来气候变化的影响,以及20世纪和21世纪东亚及中国的气候变化.同时给出了一系列研究成果,这些研究成果对于正确认识和准确预测东亚地区以及中国气候变化具有十分重要的意义.     

Investigating the uncertainty and transferability of parameters in SWAT model under climate change

ABSTRACT

There is an implicit assumption in most work that the parameters calibrated based on observations remain valid for future climatic conditions. However, this might not be true due to parameter instability. This paper investigates the uncertainty and transferability of parameters in a hydrological model under climate change. Parameter transferability is investigated with three parameter sets identified for different climatic conditions, which are: wet, intermediate and dry. A parameter set based on the baseline period (1961–1990) is also investigated for comparison. For uncertainty analysis, a k-simulation set approach is proposed instead of employing the traditional optimization method which uses a single best-fit parameter set. The results show that the parameter set from the wet sub-period performs the best when transferred into wet climate condition, while the parameter set from the baseline period is the most appropriate when transferred into dry climate condition. The largest uncertainty of simulated daily high flows for 2011–2040 is from the parameter set trained in the dry sub-period, while that of simulated daily medium and low flows lies in the parameter set from the intermediate calibration sub-period. For annual changes in the future period, the uncertainty with the parameter set from the intermediate sub-period is the largest, followed by the wet sub-period and dry sub-period. Compared with high and medium flows/runoffs, the uncertainty of low flows/runoffs is much smaller for both simulated daily flows and annual runoffs. For seasonal runoffs, the largest uncertainty is from the intermediate sub-period, while the smallest is from the dry sub-period. Apart from that, the largest uncertainty can be observed for spring runoffs and the lowest one for autumn runoffs. Compared with the traditional optimization method, the k-simulation set approach shows many more advantages, particularly being able to provide uncertainty information to decision support for watershed management under climate change.

EDITOR Z.W. Kundzewicz ASSOCIATE EDITOR not assigned