Spatial expansion effects on urban ecosystem services supply-demand mismatching in Guanzhong Plain Urban Agglomeration of China

Journal of Geographical Sciences - Global urbanization has led to drastic land use change, interfering the ecosystem services (ES) supply-demand balance, in turn threatening the well-being of...     

三江平原土地利用变化对水体中铁环境行为的影响

三江平原湿地农田化对铁的赋存形态、迁移转化特征及输出量产生影响。以湿地沼泽水体和稻田水体为研究对象,利用切向超滤技术分离铁的形态,研究土地利用变化前后铁的形态、迁移转化特征的差异。结果表明：湿地农田化后水体中可溶态总铁质量浓度下降16.9%;由于水体pH值的升高,Fe²⁺质量浓度下降56.3%,非溶解态酸性不稳定铁含量显著升高。沼泽水和稻田水在迁移过程中,铁均以络合态铁和酸性不稳定态铁2种形态迁移。沼泽水在迁移过程中Fe2+和络合态铁含量下降,酸性不稳定态铁含量升高,胶体态铁含量变化不大;稻田水在迁移过程中,络合态铁和酸性不稳定态铁含量下降,Fe²⁺和胶体态铁含量较稳定。2种水体铁形态的转化有较大差异：日间沼泽水中非溶解态的酸性不稳定态铁向可溶态铁转化;稻田水体可溶态铁向酸性不稳定态铁转化。     

Effects of land-use/cover change on hydrological processes using a GIS/RS-based integrated hydrological model: case study of the East River,China

Abstract

An integrated model, combining a surface energy balance system, an LAI-based interception model and a distributed monthly water balance model, was developed to predict hydrological impacts of land-use/land-cover change (LUCC) in the East River basin, China, with the aid of GIS/RS. The integrated model is a distributed model that not only accounts for spatial variations in basin terrain, rainfall and soil moisture, but also considers spatial and temporal variation of vegetation cover and evapotranspiration (ET), in particular, thus providing a powerful tool for investigating the hydrological impact of LUCC. The model was constructed using spatial data on topography, soil types and vegetation characteristics together with time series of precipitation from 170 stations in the basin. The model was calibrated and validated based on river discharge data from three stations in the basin for 21 years. The calibration and validation results suggested that the model is suitable for application in the basin. The results show that ET has a positive relationship with LAI (leaf area index), while runoff has a negative relationship with LAI in the same climatic zone that can be described by the surface energy balance and water balance equation. It was found that deforestation would cause an increase in annual runoff and a decrease in annual ET in southern China. Monthly runoff for different land-cover types was found to be inversely related to ET. Also, for most of the scenarios, and particularly for grassland and cropland, the most significant changes occurred in the rainy season, indicating that deforestation would cause a significant increase in monthly runoff in that season in the East River basin. These results are important for water resources management and environmental change monitoring.

Editor Z.W. Kundzewicz     

SWAT-based hydrological modelling of tropical land-use scenarios

Abstract

The Hulu Langat basin, a strategic watershed in Malaysia, has in recent decades been exposed to extensive changes in land-use and consequently hydrological conditions. In this work, the impact of Land Use and Cover Change (LUCC) on hydrological conditions (water discharge and sediment load) of the basin were investigated using the Soil and Water Assessment Tool (SWAT). Four land-use scenarios were defined for land-use change impact analysis, i.e. past, present (baseline), future and water conservation planning. The land-use maps, dated 1984, 1990, 1997 and 2002, were defined as the past scenarios for LUCC impact analysis. The present scenario was defined based on the 2006 land-use map. The 2020 land-use map was simulated using a cellular automata-Markov model and defined as the future scenario. Water conservation scenarios were produced based on guidelines published by Malaysia’s Department of Town and Country Planning and Department of Environment. Model calibration and uncertainty analysis was performed using the Sequential Uncertainty Fitting (SUFI-2) algorithm. The model robustness for water discharge simulation for the period 1997–2008 was good. However, due to uncertainties, mainly resulting from intense urban development in the basin, its robustness for sediment load simulation was only acceptable for the calibration period 1997–2004. The optimized model was run using different land-use maps over the periods 1997–2008 and 1997–2004 for water discharge and sediment load estimation, respectively. In comparison to the baseline scenario, SWAT simulation using the past and conservative scenarios showed significant reduction in monthly direct runoff and monthly sediment load, while SWAT simulation based on the future scenario showed significant increase in monthly direct runoff, monthly sediment load and groundwater recharge.

Editor D. Koutsoyiannis; Associate editor C. Perrin     

全球变化下地表反照率研究进展

地表反照率表征地球表面对太阳辐射的反射能力,决定着地表与大气之间辐射能量的分配过程,是影响地球气候系统的关键变量。在全球变化日益突出的今天,地表反照率与全球变化的相互影响机制已经成为地球科学研究领域的热点问题之一。地表反照率的细微变化,会影响到地气系统的能量收支平衡,进而引起区域以至全球气候变化。详细介绍地表反照率影响...     

基于SD和CLUE-S模型的张掖市甘州区土地利用情景分析

近年来,学者们基于不同研究需要开发了很多土地利用变化/覆盖(LUCC)模型.但迄今没有一个单独的模型可在不同时空尺度上揭示所有土地利用变化的关键过程.本文尝试开发一种集成SD模型与CLUE-S模型的建模方法,用以弥补已有LUCC模型缺陷,并将其应用于张掖市甘州区的土地利用情景分析中,得到的LUCC模拟结果可为该区土地利...     

Modeling spatial and temporal change of soil erosion based on multi-temporal remotely sensed data

In order to monitor the pattern, distribution, and trend of land use/cover change (LUCC) and its impacts on soil erosion, it is highly appropriate to adopt Remote Sensing (RS) data and Geographic Information System (GIS) to analyze, assess, simulate, and predict the spatial and temporal evolution dynamics. In this paper, multi-temporal Landsat TM/ETM+ remotely sensed data are used to generate land cover maps by image classification, and the Cellular Automata Markov (CA_Markov) model is employed to simulate the evolution and trend of landscape pattern change. Furthermore, the Revised Universal Soil Loss Equation (RUSLE) is used to evaluate the situation of soil erosion in the case study mining area. The trend of soil erosion is analyzed according to total/average amount of soil erosion, and the rainfall (R), cover management (C), and support practice (P) factors in RUSLE relevant to soil erosion are determined. The change trends of soil erosion and the relationship between land cover types and soil erosion amount are analyzed. The results demonstrate that the CA_Markov model is suitable to simulate and predict LUCC trends with good efficiency and accuracy, and RUSLE can calculate the total soil erosion effectively. In the study area, there was minimal erosion grade and this is expected to continue to decline in the next few years, according to our prediction results.     

中国土地利用/土地覆盖的多尺度空间分布特征分析

研究了我国土地利用影响因素及其空间规模相关性,采用数理统计与ＧＩＳ手段从多个规模尺度上探讨了我国土地利用的空间分布特征。其结果对全国以及各级政府进行土地利用规划、制定相应的土地开发与利用政策等具有一定的参考意义。     

城镇-农业-生态空间划定的多情景模拟

城镇-农业-生态空间划定(简称"三区"划定)是国土空间规划的核心内容,对于科学合理地规划、利用有限的国土资源具有重要的意义。已有研究主要根据区域内土地利用与社会经济发展现状构建指标体系进行"三区"划定,较少将未来土地利用变化纳入"三区"划定过程中,使得划定结果在指导实践过程中缺乏前瞻性。针对这一问题,本文提出一种基于土地利用情景模拟,结合指标体系评价与决策树特征挖掘的"三区"划定方法,并以武汉市2015年土地利用现状为基础,在土地利用变化情景模拟的基础上进行"三区"划定。通过对比,验证了本文提出方法的合理性。研究发现:①不同情景下的"三区"空间在规模、空间分布上具有明显差异,将未来土地利用变化纳入"三区"划定过程中确有必要;②不同土地利用情景下"三区"空间的差异主要出现在三类空间的交界区域,这些区域是国土空间规划应该关注的重点区域。     

风沙过渡区土地利用变化及生态效应图谱——以陕北榆阳区为例

以遥感影像资料为依据,运用地学信息图谱研究方法,在RS和GIS的支持下分析榆阳区1985~2000年土地利用及其生态服务价值的时空变化特征。结果表明:该区研究期内最主要的土地利用动态是未利用地向草地的转化,其变化占全区总变动量91.14%;土地利用变化使生态系统的生态服务价值增加了158.59×10⁶元,增幅为8.23%,其中,风沙区占总增量的85.99%,增幅10.88%,黄土丘陵沟壑区占总增量14.01%,增幅3.29%。经过实证分析,利用地学信息图谱进行土地利用变化和生态效应定量研究是一种十分有效的方法。