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991.
For many countries in the global south the World Bank is a key funder of development. A subset of the activities it funds have the potential to cause harm to biodiversity. Currently, however, little is known about the spatial coincidence of Bank-funded projects and important areas for biodiversity. Using a dataset of World Bank projects funded between 1995 and 2014, we examine the relationship between potentially harmful project activities and the ranges of globally threatened birds, mammals, and amphibians, Key Biodiversity Areas, protected areas, and biodiversity hotspots. We find that 5 by 5 km cells containing a project activity are more likely to contain a Key Biodiversity Area, or a biodiversity hotspot, and have on average greater richness of globally threatened species, than those without. This relationship was statistically significant even after considering human population and country-level socio-economic effects except in the case of Key Biodiversity Areas. We also found limited evidence that activities are systematically placed within countries to avoid the ranges of threatened species or Key Biodiversity Areas. By contrast, we found a negative relationship between project activities and protected areas globally and within most countries, which may be evidence that potentially harmful activities are placed to avoid protected areas. Our findings raise questions about whether the Banks environmental safeguards have adequately translated into avoidance of highly diverse areas. Given the size of the World Bank’s lending portfolio and its role in setting industry best practice our results are concerning for conservation efforts.  相似文献   
992.
全球气温气压(GPT)系列模型可用于计算全球任意位置的气温、气压和水汽压等各种气象参数,目前国内外广泛使用且精度较高的全球气温气压模型主要为GPT2w模型.本文利用2012—2016年中国大陆地区102个国家气象站实测的气温、气压和水汽压数据对GPT2w模型进行精度分析.结果表明:GPT2w模型的气温误差均值为-0.45 ℃,标准偏差均值为10.04 ℃;气压误差均值为2.05 hPa,标准偏差均值为6.55 hPa;水汽压误差均值为0.11 hPa,标准偏差均值为6.15 hPa.总体而言,GPT2w模型计算出的气温、气压和水汽压值在中国大陆大部分地区具有较高的精度.同时,三种气象参数的精度在中国大陆地区分布不均匀,不同纬度区间存在一定差异且以年为周期均具有明显的季节性.  相似文献   
993.
采用目前国家干旱监测业务实行的MCI指数,利用Morlet小波、经验正交函数(EOF)等方法,分析了福建省1961—2019年全省66个气象站MCI指数表征的干湿状况和干旱变化特征。结果表明:福建省存在明显的干湿气候特征,具有显著的6—8 a和22 a的周期振荡,内陆山区干湿变化周期比沿海长,在季节尺度上各季均存在多时间尺度和地域差异化的特点;其空间变化具有3种典型模态,反映了季风降水多寡和地形差异。MCI表征的干旱过程时空分布与历史干旱事件相吻合,秋季和冬季是福建省干旱发生频率最高的季节,春季和夏季是干旱强度最强的季节;闽江口以南沿海地区干旱发生率明显高于内陆地区,全省出现同步干旱的机率较小(12%)。  相似文献   
994.
针对2018年7月10-11日青藏高原东部一次暴雨过程,利用模式模拟资料分析了有效位能分布特征,成因及其对降水发展演变的影响.结果表明,有效位能主要分布在对流层低层4km以下和高层8-14km,高层有效位能和降水有更好的对应性西北冷平流和降水粒子下落的蒸发作用是低层有效位能高值中心的主要成因,而降水过程释放潜热带来的热力扰动叠加高原大地形造成的位温扰动是导致高层有效位能高值的主要原因.有效位能收支分析表明,有效位能的通量输送项以及与动能间的转换项是主要源汇项.低层有效位能的经向通量输送和动能向有效位能的转化补给了有效位能的耗散;高层有效位能向垂直动能转化增强垂直运动是促进降水发展演变的主要因素.高层有效位能与垂直运动之间的正反馈过程使得两者相关性较强;低层较长时间内均存在垂直动能向有效位能的转化,削弱了垂直运动,而西北冷平流使得低层有效位能有增强的趋势,因此二者相关性较弱.  相似文献   
995.
利用贵州省安顺市2015—2019年大气污染物资料和气象资料,分析安顺市空气质量特征和主要大气污染物特征,通过TrajStat软件中HYSPLIT模型的后向轨迹模式,结合GDAS气象数据、PM2.5浓度,分析不同季节输送途径及其污染轨迹,采用潜在源贡献作用和浓度权重轨迹分析方法,分析研究期内所有PM2.5污染日(PM2.5日浓度高于75 μg·m-3)输送轨迹垂直与水平方向分布特征。结果表明: PM2.5是安顺城区主要大气污染物,冬季输送污染轨迹占比较大,输送方向主要为贵州东北方向、偏南方向; 污染日PM2.5输送路径以贵州东北方向近距离输送为主,该类轨迹基本分布在880—980 hPa高度; 潜在源高值区主要集中在贵阳整个地区、毕节织金县、黔西市、金沙县等,高贡献值区主要集中在安顺紫云县、镇宁县、毕节织金县、大方县等。  相似文献   
996.
根据1971—2018年陕西省94个气象观测站逐日气象资料,采用线性倾向率、累积距平、小波分析和EOF分析等方法,对陕西省人体舒适度日数时空变化特征进行了统计分析。结果表明: 陕西全省大部分时间体感状态为从冷到舒适,日数占85.2%;体感状态为暖和以上日数较少,无炎热和酷热天气。1981—2018年陕西省平均人体舒适日数为132 d,呈显著增多趋势,线性倾向率为0.524 d·a-1,四季中春、夏两季人体舒适日数增加最为显著。人体舒适日数存在准4 a和准8 a的振荡周期,滑动T检验表明陕西省及三个地区的人体舒适日数均在1997年左右发生了明显的突变。陕西全省3—11月均存在舒适日,舒适日数主要分布在5—9月,陕北7—8月舒适日数较多,陕西中部6—8月舒适日数较多,陕西南部6—9月舒适日数较多。年人体舒适日数呈现南多北少的空间分布特征,陕南汉中和安康地区最多。EOF分析结果显示,年均人体舒适日数异常分布在全省存在一致性。倾向率空间分布表明陕西全省80%的地区人体舒适日数均呈增长趋势,仅榆林北部、延安北部和安康东部11个区县人体舒适日数呈减少趋势。陕西全省不舒适日数变化呈显著减少趋势,倾向率为-0.548 d·a-1,其中冷不舒适日数减少显著。陕西省人体不舒适主要表现为冷不舒适,主要集中在陕北西北部、南部山区和中部的太白和华山两个高山区; 人体热不舒适主要分布在在陕南的汉中和安康地区及关中的西安地区,且日数很少。  相似文献   
997.
An unprecedented heavy rainfall event occurred in Henan Province, China, during the period of 1200 UTC 19 -1200 UTC 20 July 2021 with a record of 522 mm accumulated rainfall. Zhengzhou, the capital city of Henan, received 201.9 mm of rainfall in just one hour on the day. In the present study, the sensitivity of this event to atmospheric variables is investigated using the ECMWF ensemble forecasts. The sensitivity analysis first indicates that a local YellowHuai River low vortex (YHV) in the southern part of Henan played a crucial role in this extreme event. Meanwhile, the western Pacific subtropical high (WPSH) was stronger than the long-term average and to the west of its climatological position. Moreover, the existence of a tropical cyclone (TC) In-Fa pushed into the peripheral of the WPSH and brought an enhanced easterly flow between the TC and WPSH channeling abundant moisture to inland China and feeding into the YHV. Members of the ECMWF ensemble are selected and grouped into the GOOD and the POOR groups based on their predicted maximum rainfall accumulations during the event. Some good members of ECMWF ensemble Prediction System (ECMWF-EPS) are able to capture good spatial distribution of the heavy rainfall, but still underpredict its extremity. The better prediction ability of these members comes from the better prediction of the evolution characteristics (i.e., intensity and location) of the YHV and TC In-Fa. When the YHV was moving westward to the south of Henan, a relatively strong southerly wind in the southwestern part of Henan converged with the easterly flow from the channel wind between In-Fa and WPSH. The convergence and accompanying ascending motion induced heavy precipitation.  相似文献   
998.
Resilience is the capacity of any system to maintain its function, structure and identity despite disturbances. Assessing resilience has been elusive due to high levels of abstraction that are difficult to empirically test, or the lack of high quality data required once appropriate proxies are identified. Most resilience assessments are limited to specific situation arenas, making comparision one of the unresolved challenges. Here we show how leveraging comparative analysis can provide insights on how Arctic communities (N = 40) can best deal with social and environmental change. We found that the capacity to self-organize, and nurturing diversity are sufficient conditions for Arctic communities whose livelihoods have been resilient, or for communities whose livelihoods have been transformed. Our study provides an alternative perspective on how to assess resilience by leveraging comparsion across cases. It also identify governance patways to support adaptations and transformations in the Arctic, a geography with some of the most dramatic social and natural challenges to come.  相似文献   
999.
Exploring the environmental impact of dietary consumption has become increasingly important to understand the carbon-water-food nexus, vital to achieving UN sustainable development goals. However, the research on diet-based nexus assessment is still lacking. Here, we developed an Environmentally Extended Multi-Regional Input-Output (EE-MRIO) model with compiling a global MRIO table based on the latest Global Trade Analysis Project (GTAP) 10 database, where we specifically constructed a water withdrawal account and matched it to each economy at the sectoral level. The regional heterogeneity and synergy of carbon-water nexus affected by dietary patterns in nine countries was explored. The results show that: (1) Dietary consumption is the main use of water withdrawal for each country; Japan, the US, South Korea, and India have a high per capita dietary water footprint. Mainly due to consumption of processed rice, Japan has the highest per capita value of 488 M3/year, accounting for 63.4% of the total water footprint. (2) The total dietary carbon footprints in China, India, and the US are high, which is mainly caused by the high consumption of animal products (including dairy) either due to the large population (China, India) or animal-based diet (the US). Americans have the highest per capita dietary carbon footprint, reaching 755.4 kg/year, 2.76 times that of the global average. (3) Generally, imported/foreign footprints account for a greater share in dietary water and carbon footprints of developed countries with an animal-based diet. (4) In the nexus analysis, the US, Japan, and South Korea are key-nexus countries, vegetables, fruit and nuts, tobacco and beverages, and other food products are selected as key-nexus sectors with relatively high dietary water and carbon footprint. Furthermore, dietary consumption choices lead to different environmental impacts. It is particularly important to find a sustainable dietary route adapted to each country considering that heterogeneity and synergism exist in key-nexus sectors to achieve the relevant Sustainable Development Goals.  相似文献   
1000.
陆面过程蒸腾作用的模拟制约着天气,气候降水预测的精确度.近几十年来,为了更好地描述植被蒸腾的水力约束,陆面过程模式发展了基于植物性状的植物水力胁迫方案.然而,我们对于植物性状在蒸腾模拟中的地位仍然缺乏了解,植物性状对蒸腾的重要性仍需进一步量化.本研究利用Morris方法评估植物性状参数在通用陆面模式植物水力胁迫方案(CoLM-P50HS)中的重要性,针对17种植物性状,筛选出最为重要的:耐旱性状(P50),气孔性状,和光合作用性状.在12个FLUXNET站点中,参数的重要性由归一化敏感度来衡量.P50的重要性随着降水的减少而增加,而气孔性状和光合作用性状的重要性则随着降水的减少而减少.在干旱或半干旱地区,P50比气孔性状和光合作用性状更重要,这意味着当植物经常经历干旱时,水力安全策略比植物生长策略更关键.而耐旱性状的巨大变异性进一步暗示了多种植物水力安全策略的共存.忽视P50的变异性可能会对陆面过程模式蒸腾作用的模拟造成严重误差.因此,为了更好地表示植物水力功能的变异性,需要增加对耐旱性状的观测并耦合到陆面模式中.  相似文献   
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