Snowmelt Runoff and Water Yield Along Elevation and Temperature Gradients in California’s Southern Sierra Nevada1

Hunsaker, Carolyn T., Thomas W. Whitaker, and Roger C. Bales, 2012. Snowmelt Runoff and Water Yield Along Elevation and Temperature Gradients in California’s Southern Sierra Nevada. Journal of the American Water Resources Association (JAWRA) 48(4): 667‐678. DOI: 10.1111/j.1752‐1688.2012.00641.x Abstract: Differences in hydrologic response across the rain‐snow transition in the southern Sierra Nevada were studied in eight headwater catchments – the Kings River Experimental Watersheds – using continuous precipitation, snowpack, and streamflow measurements. The annual runoff ratio (discharge divided by precipitation) increased about 0.1 per 300 m of mean catchment elevation over the range 1,800‐2,400 m. Higher‐elevation catchments have lower vegetation density, shallow soils with rapid permeability, and a shorter growing season when compared with those at lower elevations. Average annual temperatures ranged from 6.8°C at 2,400 m to 8.6 at 1,950 m elevation, with annual precipitation being 75‐95% snow at the highest elevations vs. 20‐50% at the lowest. Peak discharge lagged peak snow accumulation on the order of 60 days at the higher elevations and 20 to 30 days at the lower elevations. Snowmelt dominated the daily streamflow cycle over a period of about 30 days in higher elevation catchments, followed by a 15‐day transition to evapotranspiration dominating the daily streamflow cycle. Discharge from lower elevation catchments was rainfall dominated in spring, with the transition to evapotranspiration dominance being less distinct. Climate warming that results in a longer growing season and a shift from snow to rain would result in earlier runoff and a lower runoff ratio.     

Evaluation of Short-to-Medium Range Streamflow Forecasts Obtained Using an Enhanced Version of SRM1

Harshburger, Brian J., Karen S. Humes, Von P. Walden, Brandon C. Moore, Troy R. Blandford, and Albert Rango, 2010. Evaluation of Short-to-Medium Range Streamflow Forecasts Obtained Using an Enhanced Version of SRM. Journal of the American Water Resources Association (JAWRA) 46(3):603-617. DOI: 10.1111/j.1752-1688.2010.00437.x Abstract: As demand for water continues to escalate in the western United States, so does the need for accurate streamflow forecasts. Here, we describe a methodology for generating short-to-medium range (1 to 15 days) streamflow forecasts using an enhanced version of the Snowmelt Runoff Model (SRM), snow-covered area data derived from MODIS products, data from Snow Telemetry stations, and meteorological forecasts. The methodology was tested on three mid-elevation, snowmelt-dominated basins ranging in size from 1,600 to 3,500 km². To optimize the model performance and aid in its operational implementation, two enhancements have been made to SRM: (1) the use of an antecedent temperature index method to track snowpack cold content, and (2) the use of both maximum and minimum critical temperatures to partition precipitation into rain, snow, or a mixture of rain and snow. The comparison of retrospective model simulations with observed streamflow shows that the enhancements significantly improve the model performance. Streamflow forecasts generated using the enhanced version of the model compare well with the observed streamflow for the earlier leadtimes; forecast performance diminishes with leadtime due to errors in the meteorological forecasts. The three basins modeled in this research are typical of many mid-elevation basins throughout the American West, thus there is potential for this methodology to be applied successfully to other mountainous basins.     

Runoff Simulation of the Headwaters of the Yellow River Using The SWAT Model With Three Snowmelt Algorithms1

Abstract: The Soil and Water Assessment Tool (SWAT) model combined with different snowmelt algorithms was evaluated for runoff simulation of an 114,345 km² mountainous river basin (the headwaters of the Yellow River), where snowmelt is a significant process. The three snowmelt algorithms incorporated into SWAT were as follows: (1) the temperature‐index, (2) the temperature‐index plus elevation band, and (3) the energy budget based SNOW17. The SNOW17 is more complex than the temperature‐based snowmelt algorithms, and requires more detailed meteorological and topographical inputs. In order to apply the SNOW17 in the SWAT framework, SWAT was modified to operate at the pixel scale rather than the normal Hydrologic Response Unit scale. The three snowmelt algorithms were evaluated under two parameter scenarios, the default and the calibrated parameters scenarios. Under the default parameters scenario, the parameter values were determined based on a review of the current literature. The purpose of this type of evaluation was to assess the applicability of SWAT in ungauged basins, where there is little observed data available for calibration. Under the calibrated parameters scenario, the parameters were calibrated using an automatic calibration program, the Shuffled Complex Evolution (SCE‐UA). The purpose of this type of evaluation was to assess the applicability of SWAT in gauged basins. Two time periods (1975‐1985 and 1986‐1990) of monthly runoff data were used in this study to evaluate the performance of SWAT with different snowmelt algorithms. Under the default parameters scenario, the SWAT model with complex energy budget based SNOW17 performed the best for both time periods. Under the calibrated parameters scenario, the parameters were calibrated using monthly runoff from 1975‐1985 and validated using monthly runoff from 1986‐1990. After parameter calibration, the performance of SWAT with the three snowmelt algorithms was improved from the default parameters scenario. Further, the SWAT model with temperature‐index plus elevation band performed as well as the SWAT model with SNOW17. The SWAT model with temperature‐index algorithm performed the poorest for both time periods under both scenarios. Therefore, it is suggested that the SNOW17 model be used for modeling ungauged basins; however, for gauged basins, the SNOW17 and simple temperature‐index plus elevation band models could provide almost equally good runoff simulation results.     

西安市融雪径流污染特性及其与降雨径流污染的比较

在对西安市区融雪和降雨径流污染进行监测的基础上,分析了融雪径流的污染特性.同时,将相同地点的融雪径流污染特性与降雨径流污染进行对比,并进行了融雪径流的水质评价.结果表明,融雪径流水质具有一定的初期效应,在一场融雪径流过程中,主要污染物SS、COD、TN的浓度在融雪径流初期高于融雪后期;原状雪水的水质较好,主要指标的浓度均低于多种土地利用类型的融雪径流;不同土地利用类型融雪径流的水质差异较大;通过对比发现,除TP和Zn外,融雪径流污染物浓度低于相同地点的降雨径流污染物浓度;学校操场、屋顶、家属区的TP和学校道路的COD等融雪径流污染物浓度超出地表水V类水质标准.     

杭州地区城区降雪中全氟化合物的污染特征

通过调查杭州降雪中16种全氟化合物(PFCs)的质量浓度,考察了杭州地区大气中PFCs的污染状况.2016年1月20~22日,在杭州市城区及主要郊县建成区共计11个采样点采集降雪样品,应用固相萃取净化、富集与超高效液相色谱-串联质谱联用相结合的方法,测定样品中PFCs质量浓度.所有采样点降雪均有不同浓度的PFCs检出,全部样品共检出包括C_4和C_8全氟烷基磺酸以及C_4~C_6、C_8和C_9全氟烷基羧酸等7种中短链PFCs.ΣPFCs质量浓度范围为2.85~35.1 ng·L~(-1),其中全氟辛酸(PFOA)质量浓度范围2.15~23.0 ng·L~(-1),为主要污染因子,全氟辛烷磺酸(PFOS)检出浓度较低,为0~0.46 ng·L~(-1).与国内外其它地区相比杭州降雪中PFOA含量居于中等水平,PFOS含量则处于相对较低水平.污染物空间分布城区略高于郊县,其中富阳最高,建德和淳安较低.本次调查,在研究区域降雪中普遍检出以PFOA为主较高浓度的PFCs,表明湿沉降已经成为杭州地区土壤、地表水和地下水等生态系统PFCs污染一个不可忽视的污染源,需要有关部门引起足够的重视.研究结果揭示了杭州地区大气中广泛存在以PFOA为主的PFCs污染,大气因素可能已成为当地人群和生态环境暴露PFCs的重要途径之一.     

川西高原积雪稳定性分布格局及其驱动因子分析

在气候变暖的背景下,川西高原积雪出现剧烈变化,对地区水循环过程、生态系统以及社会经济带来严重影响。基于MODIS积雪遥感数据以及环境因子数据,通过构建稳定度指标及最大熵模型探讨川西高原不同稳定性积雪的空间分布格局及其驱动因子,并对不同稳定性积雪的适宜分布区进行分析,结果表明：（1）川西高原大多数地区的积雪属于高度不稳定性积雪,其他稳定性积雪在川西高原分布面积较小;（2）川西高原积雪在海拔越高的地方稳定性越好;（3）不同稳定性积雪分布格局的影响因素存在差异,海拔和降水是影响稳定性积雪分布格局的主要因素。     

中国典型冰雪旅游地开发模式及优化路径

北京冬奥会的筹办为中国冰雪旅游发展带来巨大契机,促进了冰雪旅游地的蓬勃发展。基于冰雪旅游地系统理论,构建了冰雪旅游地发展水平评价指标体系,并利用层次分析法、熵权法及加权Topsis法,对崇礼、亚布力、神农架、西岭雪山四个中国典型冰雪旅游地发展水平进行了测度。结果表明：崇礼冰雪旅游发展水平最高,亚布力次之,神农架及西岭雪山仍有待提升。基于此,提炼出四种典型冰雪旅游地开发模式,包括资源主导内驱模式、市场主导外驱模式、资源市场双核共驱模式以及资源市场政策综合齐驱模式。同时,从冰雪旅游地系统视角,提出了中国冰雪旅游地开发优化路径。研究有助于丰富冰雪旅游开发相关理论,为中国冰雪旅游地高质量发展提供智力支撑和案例借鉴。     

Conserving and managing the subnivium

In regions where snowfall historically has been a defining seasonal characteristic of the landscape, warming winters have reduced the depth, duration, and extent of snowpack. However, most management and conservation has focused on how aboveground wildlife will be affected by altered snow conditions, even though the majority of species that persist through the winter do so under the snowpack in a thermally stable refugium: the subnivium. Shortened winters, forest management practices, and winter recreation can alter subnivium conditions by increasing snow compaction and compromising thermal stability at the soil–snow interface. To help slow the loss of the subnivium in the face of rapidly changing winter conditions, we suggest managers adopt regional conservation plans for identifying threatened snow‐covered environments; measure and predict the effects land cover and habitat management has on local subnivium conditions; and control the timing and distribution of activities that disturb and compact snow cover (e.g., silvicultural practices, snow recreation, and road and trail maintenance). As a case study, we developed a spatially explicit model of subnivium presence in a working landscape of the Chequamegon National Forest, Wisconsin. We identified landscapes where winter recreation and management practices could threaten potentially important areas for subnivium persistence. Similar modeling approaches could inform management decisions related to subnivium conservation. Current climate projections predict that snow seasons will change rapidly in many regions, and as result, we advocate for the immediate recognition, conservation, and management of the subnivium and its dependent species.     

黄河源区积雪变化时空特征及其与气候要素的关系

基于1979~2016年积雪深度数据和同期气象站点的降水、气温观测资料,分析了黄河源区年均雪深和积雪天数的时空间演变规律,采用弹性系数法和相关性分析法研究降水、气温对积雪的影响及其空间规律.结果表明,黄河源区积雪期集中在11月到次年4月,源头以及西北高山区积雪初日较早,终日较迟,同时也是年均雪深高值区,积雪天数较长.研究期（1979~2016）内黄河源区面均降水量呈现不显著的减少趋势,下降率为-2.43mm/10a,气温显著上升.面均年均雪深和积雪天数都呈现下降趋势,但趋势在0.05水平上不显著.积雪天数对积雪期降水、气温的弹性系数分别为0.513和-1.347,年均雪深的弹性系数分别为0.696和-0.219,高山寒冷的研究区上游的年均积雪对降水、气温变化更为敏感.降水减少是黄河源区积雪天数下降的主要影响因素,贡献率约为77.2%.积雪期降水和气温对年均雪深变化的贡献率分别为43.7%和56.3%.降水对黄河源区西部和北部年均雪深变化的贡献率较高,在南部和东部气温是影响年均雪深的优势因素.     

南京市雪水中有机磷阻燃剂的污染特征及健康风险评价

采用超高效液相色谱-串联质谱仪（HPLC-MS/MS）分析了南京雪水中的13种有机磷酸酯阻燃剂（Organophosphate esters,OPEs）,研究了其浓度水平及污染特征,利用主成分分析阐述了OPEs可能的来源,并评估了其健康风险.结果表明,雪水中共检出11种OPEs,11种检出OPEs总浓度水平范围为229.1~1175.0ng/L,平均浓度为746.0ng/L,其中∑₁₁OPEs的最大值区域为商业区和住宅区密集的马群,最小值区域为城郊的化工园区.磷酸三（1,3-二氯-2-丙基）酯（Tris（1,3-dichloropropyl）phosphate,TDCPP）和磷酸三（2-丁氧基乙基）酯（Tris（2-butoxyethyl）phosphate,TBEP）是雪水中主要的OPEs污染单体,两者的贡献率分别为26.6%、20.4%.主成分分析表明雪水中TBEP与磷酸三（2-氯异丙基）酯（Tris（1-chloro-2-propyl）phosphate,TCPP）、磷酸三甲酯（TriMethyl Phosphate,TMP）与磷酸三乙酯（Triethyl phosphate,TEP）两两之间可能存在共同的来源,大气的远距离迁移和干湿沉降可能是雪水中附着OPEs的重要原因.不同人群通过饮水摄入11种OPEs的日均暴露量范围为26.6~39.0ng/（kg·d）,通过饮水摄入的OPEs的非致癌风险和致癌风险均低于理论风险值,研究区内雪水中OPEs所致人体健康风险处于较低水平.