Waterlogging risk assessment based on land use/cover change: a case study in Pudong New Area,Shanghai

Waterlogging induced by torrential rain or typhoon in urban areas due to rapid urban development and land cover changes has been a global hotspot and a potential risk affecting urban habitant lifelines and safety. This paper analyzed the impact of land use/cover change on the surface runoff and evaluated the waterlogging risk caused by precipitation with different intensities in Pudong New Area, Shanghai. A simplified urban waterlogging model has been built for the inundated water depth simulation through the combination of both SCS model and GIS spatial analysis with the consideration of underlying surface characters in urban area. Based on the simulated depth results, waterlogging risk ranks were further established to evaluate waterlogging risk of Pudong New Area under different conditions considering social survey results. The results show that the land use structure and pattern change increases surface runoff depth. Under the assumption of a daily maximum precipitation at 200 mm, the surface runoff depth increased by 13.19 mm from 1994 to 2006 due to urbanization. On the whole, Heqing, Huaxia tourism area, Chuansha, Tangzhen and Jichang Town have high waterlogging risk rank, Gaoqiao, Donggou, urban district, Jinqiao, Caolu, Sanlin and Beicai Town have medium waterlogging risk rank, and Zhangjiang, Gaodong and Huamu Town have low waterlogging risk rank. These results provide important information for the local government, and the method of waterlogging risk assessment can also be applied in other cities to provide guidance on waterlogging risk control.     

Regional modelling of rainfall-induced runoff using hydrological model by incorporating plant cover effects: case study in Kelantan,Malaysia

The objective of this paper is to develop a spatial temporal runoff modelling of local rainfall patterns effect on the plant cover hilly lands in Kelantan River Basin. Rainfall interception loss based on leaf area index, loss/infiltration on the ground surface, and runoff calculation were considered as the main plant cover effects on the runoff volume. In this regard, a hydrological and geotechnical grid-based regional model (integrated model) was performed using Microsoft Excel^® and GIS framework system for deterministic modelling of rainfall-induced runoff by incorporating plant cover effects. The infiltration process of the current model was integrated with the precipitation distribution method and rainfall interception approach while the runoff analysis of integrated model was employed based on loss/infiltration water on the ground surface with consideration of water interception loss by canopy and the remaining surface water. In the following, the spatial temporal analysis of rainfall-induced runoff was performed using 10 days of hourly rainfall events at the end of December 2014 in Kelantan River Basin. The corresponding changes in pressure head and consequent rate of infiltration were calculated during rainfall events. Subsequently, flood volume is computed using local rainfall patterns, along with water interception loss and the remaining surface water in the study area. The results showed the land cover changes caused significant differences in hydrological response to surface water. The increase in runoff volume of the Kelantan River Basin is as a function of deforestation and urbanization, especially converting the forest area to agricultural land (i.e. rubber and mixed agriculture).     

Assessing the impacts of rainfall intensity and urbanization on storm runoff in an arid catchment

In the past few decades, rapid urbanization has occurred in many regions of the Kingdom of Saudi Arabia due to increasing population and urban development. Additionally, the effects of global warming on rainfall characteristics have been observed. This rapid change in urbanization and climate change has cause significant changes in the nature of land surfaces and rainfall patterns, which affect the runoff process and the amount of surface runoff during floods. This study investigated the effect of urbanization and rainfall intensity for Hafr Al-Batin watershed located in Saudi Arabia. For this purpose, a hydrologic model, HEC-HMS, was adopted to simulate the flow of different rainfall intesities and urbanization levels. Simulated results showed that for a 100-year storm, a 24-h duration, and an urbanization level of 80%, the peak flow was 213% higher than the estimated current peak and the runoff volume was 112% higher than the current runoff volume. These results show a strong linear correlation between the level of urbanization and both peak discharge and runoff volume. Furthermore, the results indicate that for short return periods, the peak flow is more sensitive to the level of urbanization compared to long periods.     

Impact of city expansion on hydrological regime of Rispana Watershed,Dehradun, India

Rispana River flows through the heart of Dehradun, the capital city of Uttarakhand State, India. Uttarakhand had separated from Uttar Pradesh State in the year 2000; since then, Dehradun City has witnessed numerous changes. Both urban sprawl and densification were noticed, with around a 32% increase in population. The city had faced recurrent high runoff and urban flood situations in these last 2 decades. Therefore, the study was conducted to detect the change in land use/land cover (LULC), especially urbanization, through remote sensing data; and later to determine the impacts of such changes on the Rispana watershed hydrology. The LULC maps for the year 2003 and the 2017 were generated through supervised classification technique using the Landsat Series satellite datasets. The LULC change analysis depicted that mainly the urban settlement class increased with significant area among other classes from the year 2003–2017. It was noticed that majorly agriculture and fallow land (8.18 km², which is 13.52% of total watershed area) converted to urban, increasing the impervious area. Almost all the municipal wards, falling in the Rispana watershed, showed urbanization during the said period, with an increase of as high as 71%. The change in LULC or effect of urbanization on the hydrological response of the watershed was assessed using the most widely used Natural Resources Conservation Services Curve Number method. It was noticed that the area under moderated runoff potential (approx. 10.23 km²) steeply increased during the lean season, whereas, high runoff potential zones (5 km²) increased significantly under wet season. Therefore, it was concluded that an increase in impervious surface resulted in high runoff generation. Further, such LULC change along with climate might lead to high runoff within the watershed, which the present storm drainage network could not withstand. The situation generally led to urban floods and affected urban dwellers regularly. Therefore, it is critical to assess the hydrological impacts of LULC change for land use planning and water resource management. Furthermore, under the smart city project, the local government has various plans to improve present infrastructure; therefore, it becomes necessary to incorporate such observations in the policies.

     

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.     

1896–2006 Sahelian annual rainfall variability and runoff increase of Sahelian Rivers

Updated rainfall data to 2006 confirm that the Sahelian rainfall has increased since the end of the 1990s, but the annual average rainfall is still as low as during the drought of the 1970s. The decrease of rainfall is higher in the Northwest and lower in the Southeast Sahel. The increase of temperature over West Africa during the end of the 20th century induced an increase of Potential Evaporation, which might reduce the runoff. However, the joint effect of climate change and of human activities on land cover over more than three decades is responsible for an increase of the runoff coefficients of the West African Sahelian Rivers since the 1970s, despite the rainfall shortage during the same period, as revealed by the analysis of runoff from Mauritania, Burkina-Faso and Niger. The runoff coefficients have increased in regions with less than 750 mm of annual rainfall, under Sahelian and subdesertic climates, leading to increased flood peaks, occurring earlier in the season. Even if it is difficult to separate which part of this runoff coefficient increase is due to climate change alone or to human impact on land cover, the highest values are observed in the most inhabited areas, where land cover is dominated by cultivated areas. This climatic/human impact on land cover is so huge that it has changed since decades the hydrological regimes of the Sahelian Rivers, from the small watershed to the largest one, such as the Niger River at Niamey.     

Study on the runoff and sediment-producing effects of precipitation in headwater areas of the Yangtze River and Yellow River,China

Natural runoff observation fields with different vegetation coverage were established in the Zuomaoxikongqu River basin in the headwater area of the Yangtze River, and in the Natong River basin and the Kuarewaerma River basin in the headwater area of the Yellow River, China. The experiments were conducted using natural precipitation and artificially simulated precipitation between July and August to study the runoff and sediment-producing effects of precipitation under the conditions of the same slope and different alpine meadow land with coverage in the headwater areas. The results show that, in the three small river basins in the headwater areas of the Yangtze and the Yellow Rivers, the surface runoff yield on the 30° slope surface of the alpine meadow land with a vegetation cover of 30% is markedly larger than that of the fields with a vegetation cover of 95, 92, and 68%. Furthermore, the sediment yield is also obviously larger than the latter three; on an average, the sediment yield caused by a single precipitation event is 2–4 times as large as the latter three. Several typical precipitation forms affecting the runoff yield on the slope surface also influence the process. No matter how the surface conditions are; the rainfall is still the main precipitation form causing soil erosion. In some forms of precipitation, such as the greatest snow melting as water runoff, the sediment yield is minimal. Under the condition of the same precipitation amount, snowfall can obviously increase the runoff yield, roughly 2.1–3.5 times as compared to the combined runoff yield of the Sleet or that of rainfall alone; but meanwhile, the sediment yield and soil erosion rate decrease, roughly decreasing by 45.4–80.3%. High vegetation cover can effectively decrease the runoff-induced erosion. This experimental result is consistent in the three river basins in the headwater areas of the Yangtze and Yellow Rivers.     

城市降水径流的污染来源与排放特征研究进展

综述了城市地表径流污染的成因、来源和排放特征的研究.城市降水径流污染来自3个方面:降水、城市地表和排水系统.其中,城市地表和排水系统是城市降水径流污染的主要来源.在具合流制排水系统的城市,20%~60%的径流污染(SS、COD和BOD₅)来自排水系统.在一次降雨过程中,城市降雨径流污染的排放一般存在初期冲刷效应,径流中污染物浓度的峰值一般提前于径流的峰值.但是由于影响初期冲刷效应的因素多而随机,使得初期冲刷出现的频率和程度存在明显的差异,而且很难建立初期冲刷与降雨特征和流域特征的通用关系.     

Sensitivity analysis of runoff hydrographs due to temporal rainfall patterns in Makkah Al-Mukkramah region,Saudi Arabia

Runoff peak and volume in flood studies are estimated relying on temporal rainfall distribution from various storm patterns. Usually, SCS distributions types (I, II, III, IA) are commonly used. Using these distributions in runoff calculations assume that the in situ temporal rainfall pattern typically behaves as the one described by the SCS-type distribution, which is due to cyclonic frontal storms and actually developed in temperate environment. To what extent such assumption is valid in the arid environment? How much the impacts of rainfall temporal patterns are reflected in runoff volumes and peaks? The aim objectives of the current study are to answer the above two questions and clarify the validity of aforementioned assumption and exemplify such effect. Real rainfall data collected from rain gauges of Makkah Al-Mukkramah region over a period of more than 20 years are utilized. Temporal rainfall patterns and their parameters are deduced. Many hydrological simulations are performed and comparisons, in terms of runoff volume and peak flows, are made to show the effects of the common rainfall storm patterns and the developed rainfall storm patterns in the region based on the current study. Results indicate that major bursts of the design rainfall storm pattern are located in the first time of the storm period in the two quartiles which is mainly due to convective rainfall type in thunderstorms unlike the commonly used by SCS types relying on frontal cyclonic storms. Makkah Al-Mukkramah temporal rainfall pattern does not behave as the “typical pattern” assumed by SCS distributions that are deduced from different environments. The impacts of the temporal pattern reflected as an overestimate in the runoff peak reached to 68 %. The developed hyetographs and tables presented in the current study are recommended to enhance economical and rational design practice in watersheds of Makkah Al-Mukkramah region.     

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.     

中国城市洪涝问题及成因分析

随着经济社会的发展,中国步入城镇化快速发展的阶段,城镇化率已由2000年的36.22%增加到2014年的54.77%。在全球气候变化与快速城镇化背景下,中国城市洪涝灾害日益严重。阐述了全球气候变化及城镇化对城市降水和极端暴雨的影响机制,并从流域产汇流角度分析了城镇化对洪水过程的影响,系统剖析了中国城市洪涝频发的主要原因。在成因分析的基础上,进一步提出了中国城市洪涝防治的应对策略,主要包括:①以低影响开发理念为指导,加强城市基础设施建设,建设海绵城市;②建立城市洪涝立体监测、预报预警和实时调度系统,强化城市洪涝科学决策能力;③健全和完善城市洪涝应急预案,强化应急管理能力,完善灾害救助和恢复机制。     

变化环境对城市暴雨及排水系统影响研究进展

近年来,变化环境（气候变化和城镇化）导致城市暴雨的发生频率或强度增加,加剧了城市暴雨洪涝问题。因此,分析变化环境对城市暴雨及排水系统的影响对城市水资源规划管理、市政规划设计和城市防灾减灾有着重要意义。总结了未来高精度降雨预估技术、变化环境下排水系统设计标准等关键问题的研究进展,综述了变化环境下城市短历时暴雨演变规律及变化环境对城市排水系统影响的研究现状,探讨了变化环境对城市短历时暴雨的影响机理,并归纳了当前研究变化环境对城市暴雨及排水系统影响的主要方法。指出今后应重点加强的研究:①加强气候变化和城镇化对城市短历时暴雨影响机制的研究;②提升区域气候模式对城市区域下垫面和大气相互作用的描述能力,并加强公里尺度对流可解析模型在城市气候变化影响研究中的应用;③加强对变化环境下排水系统设计标准的研究;④综合评估气候变化和城镇化对城市排水系统超载、污染物转移和水安全等的影响。     

Watershed urbanization and changing flood behavior across the Los Angeles metropolitan region

This article examines the effects of watershed urbanization on stream flood behavior in the Los Angeles metropolitan region. Stream gauge data, spatially distributed rainfall data, land use/land cover, and census population data were used to quantify change in flood behavior and urbanization in multiple watersheds. Increase in flood discharge started at the very early stage of the urbanization when the population density was relatively low but the rate of increase of flood discharge varied across watersheds depending on the distribution of the imperviousness surface and flood mitigation practices. This spatial variability in rainfall–runoff indices and the increasing flood risk across the metropolitan region has posed a challenge to the conventional flood emergency management, which usually responds to flood damages rather than being concerned with the broader issues of land use, land cover, and planning. This study pointed out that alternative land use planning and flood management practices could be mitigating the urban flood implemented hazard.     

西苕溪流域城镇化对径流的长期影响研究

城镇化的发展使流域下垫面产生了较大变化,从而使流域降雨径流条件发生变化,随着城市化水平的提高,土地利用性质发生了改变,不透水地面积的增加,对径流的形成过程产生很大影响。长期水文影响模型(Long-Term Hydrological Impact Analysis,L-THIA GIS)是一个基于GIS平台的城市水文模型,可用于评价城市化对径流的长期影响。本文选取太湖上游浙江省安吉县西苕溪流域作为研究区域,利用L-THIA GIS模型对流域31年的长期径流进行模拟,在验证模型有效应用的基础上,探讨了城镇化对径流的影响。     

Assessment of surface runoff depth changes in Sǎrǎţel River basin,Romania using GIS techniques

Sǎrǎ?el River basin, which is located in Curvature Subcarpahian area, has been facing an obvious increase in frequency of hydrological risk phenomena, associated with torrential events, during the last years. This trend is highly related to the increase in frequency of the extreme climatic phenomena and to the land use changes. The present study is aimed to highlight the spatial and quantitative changes occurred in surface runoff depth in Sǎrǎ?el catchment, between 1990–2006. This purpose was reached by estimating the surface runoff depth assignable to the average annual rainfall, by means of SCS-CN method, which was integrated into the GIS environment through the ArcCN-Runoff extension, for ArcGIS 10.1. In order to compute the surface runoff depth, by CN method, the land cover and the hydrological soil classes were introduced as vector (polygon data), while the curve number and the average annual rainfall were introduced as tables. After spatially modeling the surface runoff depth for the two years, the 1990 raster dataset was subtracted from the 2006 raster dataset, in order to highlight the changes in surface runoff depth.     

城市化建设对广州夏季降水过程的影响

城市化造成城区下垫面的热力学、动力学特性以及大气成分发生显著变化,从而对降水过程产生显著影响。基于广州市近30年土地遥感数据,分析了该市城市化历史进程,并用城区上风向、城区和城区下风向1984~2015年夏季逐时降水资料,分析了城市化建设对城区及周边降水过程的影响,结果表明:(1)城市化对城区和下风向降水过程产生显著影响,对城区上风向降水过程作用不明显;(2)与城市化前期对比,城市化后期城区和下风向夏季降水总量、降水日数、降水强度和极端降水等指标均发生明显变化,具体表现为城市化后期大雨以上级别降水明显增加,强度增大,极端降水向短历时演化,过程雨量分布更加集中。     

Dynamics of land use/cover changes and the analysis of landscape fragmentation in Dhaka Metropolitan, Bangladesh

Rapid urban expansion due to large scale land use/cover change, particularly in developing countries becomes a matter of concern since urbanization drives environmental change at multiple scales. Dhaka, the capital of Bangladesh, has been experienced break-neck urban growth in the last few decades that resulted many adverse impacts on the environment. This paper was an attempt to document spatio-temporal pattern of land use/cover changes, and to quantify the landscape structures in Dhaka Metropolitan of Bangladesh. Using multi-temporal remotely sensed data with GIS, dynamics of land use/cover changes was evaluated and a transition matrix was computed to understand the rate and pattern of land use/cover change. Derived land use statistics subsequently integrated with landscape metrics to determine the impact of land use change on landscape fragmentation. Significant changes in land use/cover were noticed in Dhaka over the study period, 1975–2005. Rapid urbanization was manifested by a large reduction of agricultural land since urban built-up area increased from 5,500?ha in 1975 to 20,549?ha in 2005. At the same time, cultivated land decreased from 12,040 to 6,236?ha in the same period. Likewise, wetland and vegetation cover reduced to about 6,027 and 2,812?ha, respectively. Consequently, sharp changes in landscape pattern and composition were observed. The landscape became highly fragmented as a result of rapid increase in the built-up areas. The analysis revealed that mean patch size decreased while the number of patches increased. Landscape diversity declined, urban dominance amplified, and the overall landscape mosaics became more continuous, homogenous and clumped. In order to devise sustainable land use planning and to determine future landscape changes for sound resource management strategies, the present study is expected to have significant implications in rapidly urbanizing cities of the world in delivering baseline information about long term land use change and its impact on landscape structure.     

Impact assessment of land cover changes on the runoff changes on the extreme flood events in the Kelantan River basin

In the current years, changing the land cover/land use had serious hydrological impacts affecting the flood events in the Kelantan River basin. The flood events at the east coast of the peninsular Malaysia got highly affected in the recent decades due to several factors like urbanisation, rapid changes in the utilisation of land and lack of meteorological (i.e. change in climate) and developmental monitoring and planning. The Kelantan River basin has been highly influenced due to a rapid change in land use during 1984 to 2013, which occurred in the form of transformation of agricultural area and deforestation (logging activities). In order to evaluate the influence of the modifications in land cover on the flood events, two hydrological regional models of rainfall-induced runoff event, the Hydrologic Engineering Center (HEC)-Hydrologic Modeling System (HMS) model and improved transient rainfall infiltration and grid-based regional model (Improved TRIGRS), were employed in this study. The responses of land cover changes on the peak flow and runoff volume were investigated using 10 days of hourly rainfall events from 20 December to the end of December 2014 at the study area. The usage of two hydrological models defined that the changes in land use/land cover caused momentous changes in hydrological response towards water flow. The outcomes also revealed that the increase of severe water flow at the study area is a function of urbanisation and deforestation, particularly in the conversion of the forest area to the less canopy coverage, for example, oil palm, mixed agriculture and rubber. The monsoon season floods and runoff escalate in the cleared land or low-density vegetation area, while the normal flow gets the contribution from interflow generated from secondary jungle and forested areas.     

Source of paleo-groundwater in the Emirate of Abu Dhabi, United Arab Emirates: evidence from unusual oxygen and deuterium isotope data

Paleo-groundwaters of 6000?years BP from the Liwa water-table sand dune aquifer in the Rub al Khali and the Gachsaran artesian carbonate aquifer, on the coast of the Emirate of Abu Dhabi (UAE), exhibit normal ??²H/??¹⁸O slopes, modest ??¹⁸O increases, and large negative deuterium excess ??d?? (Liwa aquifer: 2.19?? VSMOW and d?=??C15; Gachsaran aquifer: 3.16?? VSMOW and d?=??C28) compared to local Shamal precipitation (0.05?? VSMOW and d?=?7). This unusual isotopic signature is hypothesized to result from re-evaporation of continental runoff to the Red Sea catchment basin. It is postulated that this continental water flowed onto the surface of the Indian Ocean providing a moisture source for the monsoon that dominated precipitation during this, the last wet period in the area from 5000 to 9000 BP. Carbonate precipitation, forming speleothems, travertines, tufas, lacustrine, and capillary-zone deposits, subsequently record this ??¹⁸O isotopic signature. This rock record is thus dominated by the water source, rather than environmental conditions of deposition normally assumed to control the rock ??¹⁸O isotopic signature. As a consequence, re-evaluation of paleo-climate??¹⁸O data from the rock record may be necessary for this time period in southern Arabia.     

Assessment of LULC and climate change on the hydrology of Ashti Catchment,India using VIC model

The assessment of land use land cover (LULC) and climate change over the hydrology of a catchment has become inevitable and is an essential aspect to understand the water resources-related problems within the catchment. For large catchments, mesoscale models such as variable infiltration capacity (VIC) model are required for appropriate hydrological assessment. In this study, Ashti Catchment (sub-catchment of Godavari Basin in India) is considered as a case study to evaluate the impacts of LULC changes and rainfall trends on the hydrological variables using VIC model. The land cover data and rainfall trends for 40 years (1971–2010) were used as driving input parameters to simulate the hydrological changes over the Ashti Catchment and the results are compared with observed runoff. The good agreement between observed and simulated streamflows emphasises that the VIC model is able to evaluate the hydrological changes within the major catchment, satisfactorily. Further, the study shows that evapotranspiration is predominantly governed by the vegetation classes. Evapotranspiration is higher for the forest cover as compared to the evapotranspiration for shrubland/grassland, as the trees with deeper roots draws the soil moisture from the deeper soil layers. The results show that the spatial extent of change in rainfall trends is small as compared to the total catchment. The hydrological response of the catchment shows that small changes in monsoon rainfall predominantly contribute to runoff, which results in higher changes in runoff as the potential evapotranspiration within the catchments is achieved. The study also emphasises that the hydrological implications of climate change are not very significant on the Ashti Catchment, during the last 40 years (1971–2010).