城市下垫面空间特征对地表产汇流过程的影响研究综述

快速城市化显著改变了城市下垫面空间特征,对地表产汇流过程产生了重要影响。综述城市下垫面空间特征对地表产汇流过程的影响研究进展,以下垫面空间特征对产汇流过程的影响为主线,聚焦不透水面和微地形两类空间特征,总结城市下垫面空间特征及其表征方法;从不透水率与不透水面空间变化、数值模拟与物理实验等方面,分别梳理不透水面和微地形等空间特征对地表产汇流过程的影响研究成果。展望未来城市下垫面空间特征对地表产汇流过程的影响研究重点和发展方向,主要包括影响机理解析、主控空间特征参数识别与敏感性分析、城市水文效应适应性应对等,以期为快速城市化下城市水文效应解析和城市洪涝灾害防治提供一定参考。     

Impervious surface impact on water quality in the process of rapid urbanization in Shenzhen, China

Urbanization has accelerated rapidly over the last century, which has caused surfaces in natural ecosystems to shift to impervious surfaces. As a result, urban watershed ecosystems show altered physical, chemical and ecological process. As an important part of watershed management, urbanization has become one of the key issues involved in the deterioration of water quality. Impervious surface area (ISA) has been recognized as a key indicator of the effects of non-point runoff and water quality within a particular watershed. Numerous case studies have been conducted to investigate the relationship between urbanization and water quality in different study areas. However, there is still a lack of understanding regarding quantitative analysis of the threshold between urbanization and water quality indicators. This study was conducted to improve the understanding of how to quantify a threshold between urbanization and water quality, taking the rapid urbanization zone of Shenzhen, China as a case study. To accomplish this, ISA was extracted from the Landsat? image using a linear spectral mixture method to quantify the urbanization. The relationship between water quality indicators and ISA was then analyzed by nonlinear regression, and the threshold between ISA and the chemical indicators of water quality was investigated using the statistical segment approach method. The results indicate that the water quality indicators and ISA are significantly correlated, and that, with the exception of Zn, Pb, and CN, the water quality indicators had R ² values greater than 0.45. Furthermore, with the exception of Zn, F^?, Pb and oils, water quality indicators were found to have an ISA threshold of 36.9–52.9 %, indicating that it is important to control the ISA below 36.9 % in urbanization watersheds to enable effective urban watershed management.     

不透水面遥感提取及应用研究进展

不透水面信息的提取方法与应用是近年来城市规划、热岛效应分析、水环境监测和水资源管理等诸多领域的研究热点.遥感技术的发展使不透水面快速准确提取成为可能.从影像特征(光谱、空间几何、时间)选择、分类器(参数、非参数)选择和空间尺度(像元、亚像元尺度)选择3个方面归纳和总结了各种不透水面遥感提取方法原理、应用现状和存在问题,回顾了不透水面在城市化监测、人口估计、水环境监测、热岛效应分析、水文气候建模分析等领域的应用,指出了不透水面遥感提取和应用的发展方向.     

Assessment of impervious surface growth in urban environment through remote sensing estimates

The fast growth in population and expansion of urban built area has led to the transformation of the natural landscape into impervious surfaces. Remote sensing-based estimate of impervious surface area (ISA) has emerged as an important indicator for the assessment of water resources depletion in urban areas and developed a correlation between land-use change and their potential impact on urban hydrology. In the present work, a remote sensing-based Impervious Surface Area (ISA) was carried out for New Okhla Industrial Development Authority (NOIDA) city, one of the fastest growing cities in National Capital Region (NCR) of India. The impervious surface area (ISA) of NOIDA was calculated for the years 2001, 2007 and 2014 using multi-temporal LANDSAT thermal data by applying linear spectral mixing analysis (LSMA) techniques to monitor the growth rate of impervious surface. The results observed by analysis of multi-temporal satellite images show an extreme temporal change in the growth of ISA in the city. The ISA observed for the year 2001 is 28 sq.km; in 2007, its increase was 48 sq.km and was 132 in 2014. The results were observed from this work through the use of satellite data which is very important for water resource management, planning and prediction of ISA impact on hydrology.     

变化环境下城市洪水演变驱动机理——以北京市温榆河为例

气候变化和人类活动被认为是城市洪水演变的主要驱动因素,不同区域气候变化和城市化对洪水演变的影响不尽相同,科学识别城市洪水演变的关键驱动要素、量化气候变化与城市化对城市流域洪水演变的影响是城市洪水管理的重要依据。本文以高度城市化的北京市温榆河流域为例,以季节降雨量、气温、流域前期湿度、不透水面积比及流域内地下水埋深作为潜在驱动要素,对温榆河夏季不同概率的洪水建立GAMLSS模型,分析探讨城市流域洪水演变的主要驱动机制。研究结果表明:温榆河流域夏季不同概率的洪水在研究期均呈现出非一致性特性;城市不透水面积的扩张和降水是温榆河流域夏季洪水变化的主要驱动要素,不同等级洪水的变化具有不同的驱动机制,高于概率70%的小洪水的变化主要受到流域下垫面变化的影响,而小于概率45%的低频洪水的变化主要受降水的影响。     

考虑有效不透水下垫面的城市雨洪模拟模型——Ⅰ.模型原理与模型构建

为满足新形势下雨洪管理实践的需求,揭示有效不透水下垫面对城市水文过程的影响,需研发考虑有效不透水下垫面的城市雨洪模拟模型。将不透水下垫面分为道路和屋顶,综合运用地理信息系统、城市雨洪模型等技术手段,基于不同分类属性分步确定有效不透水面积;考虑模型复杂性、建模数据可用性和模型预测能力,确定模型结构。区分有效不透水下垫面和非有效不透水下垫面产汇流过程,将具有高度异质性的城市下垫面离散成具有均匀或准均匀特性的子汇水区,考虑不同下垫面各子汇水区内部及子汇水区之间汇流路径,采用不同的产汇流计算方法,构建了精细模拟模型,可为城市洪涝防治及海绵城市建设提供技术支撑。     

快速城市化地区多尺度水文观测试验与暴雨洪水响应机理分析

城市下垫面改变引起水文循环过程发生变异,导致目前已掌握的天然情况下的产汇流规律和机制难以解释城市化等新形势下的水文现象与过程,而面临需重新再认识的挑战。本文以长三角地区为典型,建立了不同城市化水平及空间规模的水文试验流域,探讨了快速城市化地区暴雨洪水响应规律和机制。结果表明：(1)不同量级降水事件下城镇用地土壤水响应程度(表层土壤水涨幅基本超过4%)总体高于其他土地利用类型,城市化地区下垫面的改变通过影响土壤水动态响应模式直接影响了地表产流过程,植被覆盖率较低的城镇用地和荒地土壤含水率呈现出陡涨陡落现象,而植被作用下的土地利用类型则表现出缓慢上升和缓慢消退的土壤水响应过程。(2)流域洪峰滞时和洪峰流量整体表现为随流域面积增加而呈幂律函数关系形式的增加。(3)总降水量与主要洪水特征(如洪峰流量、单位面积洪峰流量和径流深)基本呈显著相关(相关系数分别达0.49、0.41和0.78以上)。城市下垫面通过改变土壤水动态响应等产汇流特征而直接影响了洪水过程,未来长三角地区暴雨洪水在城市化和气候因素双重作用下呈现持续加剧的趋势。     

岩溶地下水脆弱性评价的城镇化因子:以水城盆地为例

岩溶地下水是贵州省六盘水市的重要供水水源,但针对该地区的岩溶地下水脆弱性评价,尤其是城镇化区域的岩溶地下水脆弱性评价尚未见报道.运用改进的径流-覆盖层-降雨（COP）模型,利用RS及GIS技术对水城盆地的土壤类型、土地利用/覆盖类型、降水量数据进行处理,研究了岩溶地下水脆弱性评价的城镇化因子.结果显示,2004~2016年间,研究区地下水固有脆弱性整体呈现出由中脆弱性向低脆弱性转变的趋势,脆弱性降低的区域与城镇化过程中增加的不透水地面区域相一致;表明不透水地面有效地阻碍了地表污染物进入地下,降低了地下水固有脆弱性.本结果为水城盆地岩溶水资源管理提供了重要依据.      

Permeability control and flood risk assessment of urban underlying surface: a case study of Runcheng south area,Kunming

Natural Hazards - Because of climate change and rapid urbanization, urban impervious underlying surfaces have expanded, causing Chinese cities to become strongly affected by flood disasters....     

Spatial evaluation of impacts of increase in impervious surface area on SCS-CN and runoff in Nagpur urban watersheds,India

The changing land use due to rapid urbanization has profound impact on the runoff in urban watersheds. The spatial analysis in urban watersheds is felt necessary for management of surface and subsurface water regimes. Significant increase in impervious zones was observed in Nagpur urban watersheds between 2000 and 2012 having impacts on runoff, and even flash floods were observed. This study presents spatial and temporal impacts of change in urban built-up area on curve number (CN) and runoff during the years 2000 and 2012. The study also analyzes effect of slope on CN values and shows that CN increases with slope. High-resolution satellite images were used to map impervious surface areas (ISAs) which show an increase of 0.9 to 34 % during 2000–2012. Spearman’s and Pearson’s coefficients have been generated to establish relationship between runoff, impervious surface areas, vegetation index, slope, and runoff coefficient. It has been hypothetically assumed that if 100, 50, and 25 % rooftop rainwater harvesting is considered, the estimated runoff reduces in 2012 as compared to the year 2000. The study suggests that increase in impervious areas within urban watersheds can be utilized for groundwater augmentation adopting rooftop rainwater-harvesting techniques and to prevent flash floods.     

Modelling runoff quantity and quality in tropical urban catchments using Storm Water Management Model

Due to differences in rainfall regimes and management practices, tropical urban catchments are expected to behave differently from temperate catchments in terms of pollutant sources and their transport mechanism. Storm Water Management Model (SWMM) was applied to simulate runoff quantity (peakflow and runoff depth) and quality (total suspended solids and total phosphorous) in residential, commercial and industrial catchments. For each catchment, the model was calibrated using 8?C10 storm events and validated using seven new events. The model performance was evaluated based on the relative error, normalized objective function, Nash?CSutcliffe coefficient and 1:1 plots between the simulated and observed values. The calibration and validation results showed good agreement between simulated and measured data. Application of Storm Water Management Model for predicting runoff quantity has been improved by taking into account catchment??s antecedent moisture condition. The impervious depression storages obtained for dry and wet conditions were 0.8 and 0.2?mm, respectively. The locally derived build-up and wash-off parameters were used for modelling runoff quality.     

考虑有效不透水下垫面的城市雨洪模拟模型——Ⅱ.雨洪模拟及水文响应分析

为了分析有效不透水下垫面在城市雨洪模拟中的水文响应机理,以常州市双桥浜径流小区为研究区域,构建考虑有效不透水下垫面的城市雨洪模型。利用实测资料先确定屋顶中有效不透水面积的比例,再率定模型其余参数。采用不同的方法表征不透水性,设置不同的模拟方案,分析有效不透水面积及总不透水面积的水文响应。结果表明：与正确使用有效不透水面积的模拟结果相比,用总不透水面积表征模型不透水性且直接移用有效不透水面积模型参数,会高估洪峰流量及洪量;使用总不透水面积表征不透水性,进而率定模型,低重现期时洪峰流量偏大,高重现期时洪峰流量偏低,并且会低估洪量。     

Landslide susceptibility mapping by using statistical analysis in the North Anatolian Fault Zone (NAFZ) on the northern part of Suşehri Town,Turkey

Numerical modelling techniques enable forcing function at the point of contact in a hail impact to be predicted, but many models available in commercial software have not been verified by experiments. A recently developed deterministic model is only able to simulate the impact action of an idealised spherical hailstone. Results recorded from the impact testing of non-spherical simulated hail ice specimens show wide scatters and are different to spherical specimens. A stochastic model has been developed in this study to incorporate the variability of the modelling parameters representing the behaviour of non-spherical ice specimens and to generate time histories of contact force for given impact scenarios. A probabilistic model which was developed previously to provide predictions of the distribution of the size of hailstones in a severe category hailstorm has also been further developed to provide predictions of the maximum contact force values in probabilistic terms. For any given pre-defined forcing function denting into the surface of a steel plate can be estimated by finite element analysis or experimentally on a test machine. The new knowledge base introduced in this paper can be used by manufacturers and designers to re-assess existing products and in making improvements to future installations taking into account cost–benefit considerations.     

基于城市化的中国能源消费前景分析及对碳排放的相关思考

工业化和城市化是中国未来的两大发展趋势.以往对中国未来能源消费及碳排放的预测大都是从工业化层面出发,忽略了城市化过程导致的生活能源消费的巨大增量.推动城市化进程是提升生活质量、满足人的基本权利的重要手段;立足城市化进程,保障人均能源消费及碳排放空间是确保人人享有基本的生存权和发展权的重要基础.从对中国城市化进程的发展态...     

土地利用/景观格局对水环境质量的影响

土地利用/景观格局已成为影响中国水环境质量的重要因素,但目前仍然欠缺土地利用/景观格局和水环境质量之间复杂关系的深入研究。以湟水流域小峡桥断面上游为例,兼顾水环境承载力与人为活动所产生的压力,建立土地利用/景观格局对水环境质量影响的结构方程模型,计算不同土地利用/景观格局指标对水环境质量的贡献率。研究表明:点源污染是湟水流域水环境质量恶化的主要因素,其贡献率最大(37.3%);而土地利用/景观格局的4个指标(不透水面面积占比、建设用地中绿地面积占比、湿地连通性和湿地聚集度)对水环境质量的贡献率相对较大,分别为9.14%、 7.91%、 7.44%和6.96%。加大点源污染控制力度、增强湿地连通性与聚集度、增大建设用地中绿地面积并减少不透水面面积是改善湟水流域小峡桥断面上游水环境质量的有效措施。     

1998年以来兰州市地下水环境变化及驱动因素

以地下水污染调查数据、地下水监测数据和遥感数据为基础,分析了1998年以来（1998—2019年）兰州不同区域地下水环境变化趋势,探讨了土地利用变化、污染源排放、地下水开采等城市发展要素对地下水的影响。结果表明：1998年以来兰州市地下水环境变化的主要特征是水质恶化、水位上升。溶解性总固体、总硬度、硝酸根、氟等典型水化学指标在大部分地区呈稳定上升趋势,局部地下水中硝酸根比重增加,出现了硝酸型地下水。污染负荷增加是水质恶化的重要驱动因素,且恶化指标与城市主体功能存在直接关系,城关区是主要的居住、商业区,水质恶化的典型指标为硝酸盐;西固区是化工、冶炼等重工业集中区,地下水污染程度最重,反映工业污染的氟化物上升显著;七里河区、安宁区是商业、居住及轻工业的综合分布区,矿化度、总硬度、硝酸根等指标都有不同程度上升,但升幅不大。西固及三滩地区地下水位上升较为明显,其他城区相对稳定,城市不透水界面阻碍了降雨、灌溉等地表垂直入渗,使地下水位年内波动趋于平缓;水源地开采量减少、沿河工程建设以及地下管网渗漏等因素导致地下水补径排条件发生变化,不仅引起城区地下水位上升,还能够增强污染物淋滤和地下水蒸发浓缩,对水化学环境造成一定影响。     

基于随机森林模型的城市不透水面提取研究 ——以呼和浩特市为例

城市不透水面信息对于城市生态环境动态演化过程研究具有重要意义。以Landsat 8遥感影像为数据源,以呼和浩特市为实证区域,进行了随机森林模型应用于城市不透水面的提取研究,并与目前应用广泛的支持向量机模型进行了对比分析。研究表明：在不同的抽样比例训练样本条件下,随机森林模型对于城市不透水面的提取精度均优于支持向量机的提取精度;对于随机森林模型和支持向量机模型,70%的训练样本比例均为最佳训练样本抽样比例。在该抽样比例下,随机森林模型提取城市不透水面的总体分类精度为93.29%,Kappa系数为0.9051,支持向量机模型的总体分类精度为91.26%,Kappa系数为0.8757;随机森林模型对于城市裸土的识别度较高,能更好地将城市裸土和不透水面进行区分,而支持向量机模型对于城市裸土、不透水面和绿地的区分能力均弱于随机森林模型。综合而言,随机森林模型对城市不透水面的提取精度优于支持向量机模型,随机森林模型可以有效应用于城市不透水面提取领域,进一步丰富了城市不透水面提取方法体系构成。     

Surface runoff prediction regarding LULC and climate dynamics using coupled LTM,optimized ARIMA,and GIS-based SCS-CN models in tropical region

The effects of climate and land use/land cover (LULC) dynamics have directly affected the surface runoff and flooding events. Hence, current study proposes a full-packaged model to monitor the changes in surface runoff in addition to forecast of the future surface runoff based on LULC and precipitation variations. On one hand, six different LULC classes were extracted from Spot-5 satellite image. Conjointly, land transformation model (LTM) was used to detect the LULC pixel changes from 2000 to 2010 as well as predict the 2020 ones. On the other hand, the time series-autoregressive integrated moving average (ARIMA) model was applied to forecast the amount of rainfall in 2020. The ARIMA parameters were calibrated and fitted by latest Taguchi method. To simulate the maximum probable surface runoff, distributed soil conservation service-curve number (SCS-CN) model was applied. The comparison results showed that firstly, deforestation and urbanization have been occurred upon the given time, and they are anticipated to increase as well. Secondly, the amount of rainfall has non-stationary declined since 2000 till 2015 and this trend is estimated to continue by 2020. Thirdly, due to damaging changes in LULC, the surface runoff has been also increased till 2010 and it is forecasted to gradually exceed by 2020. Generally, model calibrations and accuracy assessments have been indicated, using distributed-GIS-based SCS-CN model in combination with the LTM and ARIMA models are an efficient and reliable approach for detecting, monitoring, and forecasting surface runoff.     

The importance of hydrogeological and hydrological investigations in the residential area: a case study in Burdur,Turkey

Water resources in residential areas are negatively affected by floods. In addition, many aquifers are contaminated as a result of urbanization. Great damage caused during earthquakes are partly attributed to the residential pattern which ignores the potential effect of groundwater. Hydrogeological and hydrological surveys must be carried out in the residential areas to determine the interaction between water and residential development of all types.Recent hydrogeological and hydrological investigations regarding the impact of urbanization were made for the city of Burdur (Turkey). To evaluate the effect of earthquakes on groundwater, groundwater isohypse and groundwater isopach maps were prepared showing most of the buildings within the Burdur city boundaries, which are in the areas where groundwater depth is less than 10 m. This is considered a critical depth for liquefaction during an earthquake. Lowering of the groundwater table has to be considered as one of the alternatives in reducing earthquake hazards. The chemical makeup of groundwater was also determined to consider its relationship to contamination and possible effects upon the foundations. Streams flowing across the Burdur residential area formed a flooding risk. Results of the peak flow analysis can be used to design improvements for the city. Maps of the best residential development areas have been prepared by using hydrological and hydrogeological results.