Using SWAT to Model Streamflow in Two River Basins With Ground and Satellite Precipitation Data1

Abstract: Both ground rain gauge and remotely sensed precipitation (Next Generation Weather Radar – NEXRAD Stage III) data have been used to support spatially distributed hydrological modeling. This study is unique in that it utilizes and compares the performance of National Weather Service (NWS) rain gauge, NEXRAD Stage III, and Tropical Rainfall Measurement Mission (TRMM) 3B42 (Version 6) data for the hydrological modeling of the Middle Nueces River Watershed in South Texas and Middle Rio Grande Watershed in South Texas and northern Mexico. The hydrologic model chosen for this study is the Soil and Water Assessment Tool (SWAT), which is a comprehensive, physical‐based tool that models watershed hydrology and water quality within stream reaches. Minor adjustments to selected model parameters were applied to make parameter values more realistic based on results from previous studies. In both watersheds, NEXRAD Stage III data yields results with low mass balance error between simulated and actual streamflow (±13%) and high monthly Nash‐Sutcliffe efficiency coefficients (NS > 0.60) for both calibration (July 1, 2003 to December 31, 2006) and validation (2007) periods. In the Middle Rio Grande Watershed NEXRAD Stage III data also yield robust daily results (time averaged over a three‐day period) with NS values of (0.60‐0.88). TRMM 3B42 data generate simulations for the Middle Rio Grande Watershed of variable qualtiy (MBE = +13 to ?16%; NS = 0.38‐0.94; RMSE = 0.07‐0.65), but greatly overestimates streamflow during the calibration period in the Middle Nueces Watershed. During the calibration period use of NWS rain gauge data does not generate acceptable simulations in both watersheds. Significantly, our study is the first to successfully demonstrate the utility of satellite‐estimated precipitation (TRMM 3B42) in supporting hydrologic modeling with SWAT; thereby, potentially extending the realm (between 50°N and 50°S) where remotely sensed precipitation data can support hydrologic modeling outside of regions that have modern, ground‐based radar networks (i.e., much of the third world).     

GIS‐Based Spatial Precipitation Estimation: A Comparison of Geostatistical Approaches1

Abstract: As one of the primary inputs that drive watershed dynamics, the estimation of spatial variability of precipitation has been shown to be crucial for accurate distributed hydrologic modeling. In this study, a Geographic Information System program, which incorporates Nearest Neighborhood (NN), Inverse Distance Weighted (IDW), Simple Kriging (SK), Ordinary Kriging (OK), Simple Kriging with Local Means (SKlm), and Kriging with External Drift (KED), was developed to facilitate automatic spatial precipitation estimation. Elevation and spatial coordinate information were used as auxiliary variables in SKlm and KED methods. The above spatial interpolation methods were applied in the Luohe watershed with an area of 5,239 km², which is located downstream of the Yellow River basin, for estimating 10 years’ (1991‐2000) daily spatial precipitation using 41 rain gauges. The results obtained in this study show that the spatial precipitation maps estimated by different interpolation methods have similar areal mean precipitation depth, but significantly different values of maximum precipitation, minimum precipitation, and coefficient of variation. The accuracy of the spatial precipitation estimated by different interpolation methods was evaluated using a correlation coefficient, Nash‐Sutcliffe efficiency, and relative mean absolute error. Compared with NN and IDW methods that are widely used in distributed hydrologic modeling systems, the geostatistical methods incorporated in this GIS program can provide more accurate spatial precipitation estimation. Overall, the SKlm_EL_X and KED_EL_X, which incorporate both elevation and spatial coordinate as auxiliary into SKlm and KED, respectively, obtained higher correlation coefficient and Nash‐Sutcliffe efficiency, and lower relative mean absolute error than other methods tested. The GIS program developed in this study can serve as an effective and efficient tool to implement advanced geostatistics methods that incorporate auxiliary information to improve spatial precipitation estimation for hydrologic models.     

澳洲冷空气活动与长江中下游降水的联系分析

利用澳洲范围700 hPa温度场的再分析资料和长江中下游降水资料,通过谱分析方法,试析了澳洲冷空气活动对我国长江中下游主汛期降水的影响,并进一步分析了西太平洋副热带高压在此中起的作用。研究结果表明：在我国夏季,澳洲变温与涝年长江中下游主汛期的降水都具有77 d的周期,两者存在着77 d周期的遥相关,同时在77 d的周期两者呈现同位相振荡。也就表明在77 d的周期澳洲冷高压变动时经73 d后影响长江中下游降水。同时也得出澳洲冷高压强时,西太平洋副热带高压北移,长江中下游受西太平洋副热带高压控制,晴天少雨;澳洲冷高压弱时,西太平洋副热带高压南落,长江中下游处西太平洋副热带高压边缘,多降水天气。以上结论对长江中下游降水预报有一定的指示意义。     

成都平原城市群的城市流分析

在西部大开发战略不断深入的宏观背景下,以西部地区代表性的城市群--成都平原城市群为例,运用城市流的方法分析城市群内5个主要城市间的空间相互作用,计算并找出不同城市的基础部门和城市流强度,得出结论：成都平原城市群内城市之间外向服务功能呈现明显的差异,有着较好的错位发展空间;在具体产业表现上,交通运输仓储和邮电通信业发展良好,而房地产业、文化体育和娱乐业和公共管理社会组织发展不均衡;成都的城市流倾向度值表明了其当之无愧地成为成都平原城市群的中心城市;次位城市绵阳面临自身内向性发展不足的问题;城市群内部城市的等级分化明显,城市化水平存在巨大的差距。并提出加强成都平原城市群内部联系的简要建议和未来研究的展望.     

我国技术变迁对环境影响的计量分析

为了促进技术变迁因素在我国环境保护中发挥更大的作用,需要分析其以往对环境的影响,为我国的技术政策提供支持。使用动态基期,用统计方法定量计算了 1994~2004年各年度技术变迁因素对我国主要空气和水污染物排放量的影响。按是否以削减污染为直接目标,可将技术变迁分为2类：(1)生产工艺的变化。这种技术变化不以污染削减为直接目标,但会影响到生产投入物的数量和种类、生产过程中污染物的产生量并因此影响到最终的污染强度和排放量。(2)污染削减技术的变化。这种技术变化以污染削减为直接目标。利用环境统计年鉴中的污染削减量数据将技术效应分解为2部分：源自污染削减技术和源自生产工艺,发现从总体上看技术变迁降低了所有污染物的排放量,其中污染削减技术对所有污染排放量的下降都起了积极作用,但伴随较大的年度变化。生产工艺变化对不同污染物的影响方向不同。可见中国目前的污染削减主要依靠“末端”污染削减技术,“过程控制型”生产工艺没有充分发挥应有作用,也反映出目前技术变迁尚未向“环境友好型”演进。因此,要促使我国技术变迁向“环境友好型”演进,特别需要促进清洁生产技术的开发和推广,在生产过程中减少污染物的产生.     

拉曼光谱在比较水中杂质浓度的研究

为了比较不同水样品中所含杂质浓度的相对大小,运用激光拉曼光谱的分析方法,测量了四种不同水样品的激光拉曼光谱,同时还测量了蒸馏水的激光拉曼光谱.计算了它们的弯曲振动强度与伸缩振动强度之比,并对测量和计算结果进行了比较和分析.结果表明,水中所舍杂质浓度的相对大小不仅可以从其拉曼谱杂峰和毛刺的多少做定性比较,而且还可以从弯曲振动强度与伸缩振动强度的比值的相对大小做定量比较.这为水质分析提供了新的有效途径.     

湖北省降水变化分析

全面分析了湖北省７２个气象台站自建站有观测记录以来的降水资料后,发现全省降水差异较大,分布不均;不同年代之间降水变化亦存在一定的差异。东部和江汉平原６０,７０年代偏少,８０,９０年代偏多,鄂北,三峡河谷和鄂西南５０,７０和９０年代偏少,６０,８０年代偏多,全省平均为７０年你偏少,８０年代偏多。１９８０年以来东部地区降水偏多,降大雨以上的日数增多,西部地区则相反。     

江苏省13城市土地利用集约度时空变异及驱动因素

城市土地的高效集约化利用是城市可持续发展的客观要求。从城市土地集约利用的内涵入手，依据城市土地集约利用评价的原则，从土地利用投入水平、土地利用程度、土地利用效率、土地利用生态环境质量等方面构建了一个具有三级层次结构的城市土地集约利用度评价的指标体系，并在此基础上采用多因素综合评价，秩相关系数和聚类分析的方法以江苏省13个地级市为例进行了实证分析，结果表明：（1）1997～2006年，江苏省13城市土地利用集约度都得到了提高，但是提高的幅度和方式不同；（2）不同城市，苏南、苏中和苏北之间城市土地利用集约度呈现出明显的城市和地域差异，其中，省会南京最高，苏北的宿迁最低。最后，对造成这种时空差异的现象从区域经济环境、经济发展水平、城市性质职能与规模等方面进行了驱动力分析。     

Land Degradation Evaluation in North Hebei Province Based on Remote Sensing and GIS

Abstract

Land degradation is one of the serious environmental problems that can lead to poverty, and is especially prominent in eco-fragile areas in developing countries and increases the risk of environmental safety. North Hebei Province belongs to an ecologically fragile region in North China, which has great impact on the eco-safety of Beijing and Tianjin. Using Landsat TM data and GIS, this paper evaluates land degradation in North Hebei province of China from the the 1960's to 1987 and 2000. Land use/cover change pattern from 1987 to 2000, its regional difference and forest change characteristics will also be analyzed; soil erosion intensity and arable land suitability were also evaluated. Results revealed that land use/cover pattern in this study area did not change greatly from 1987 to 2000. The structure and function of regional land ecosystem was at a level of local improvement and integral deterioration. Land above medium soil erosion intensity reached 21 percent, which was also the area with a serious soil erosion and land degradation problem. Soil erosion and land degradation intensity of grassland was the biggest. For the present arable land, the proportion of high suitability was 13 percent.     

四种再分析资料与长江中下游地区降水观测资料的对比研究

为了获得对中国区域降水刻画能力较好的再分析资料,以长江中下游地区为例,将PREC/L、CMAP、GPCP及NCEP2四种再分析降水资料与台站降水观测资料进行了多年和逐年平均的年、季、月降水量距平的时空相关分析和方差分析,比较了再分析资料对该区降水刻画能力的差异。首先对该区域的观测资料、CMAP、GPCP及NCEP2资料进行插值,使所有资料具有相同的空间分辨率,在此基础上比较再分析资料与观测资料年、季、月平均的降水变化特征。结果表明,四种再分析资料与观测资料的距平相关系数（均方根误差）由大到小（由小到大）的变化次序为：PREC/L→CMAP→GPCP→NCEP2,四种再分析资料均能较好地刻画出长江中下游地区降水的时空分布特征,尤以PREC/L资料对该区域降水变化的时空演变规律描述得最好。最后,利用PREC/L资料与观测资料对该区域降水的时空特征进行了相关分析、EOF分析和功率谱分析,结果显示夏季平均降水量具有23和31年的显著周期,EOF分析的前两个模态的时间变化分别具有23和28年的显著周期,这些显著周期都通过了95％的红噪声检验.