Assessment of the Impacts of Land Use/Cover Change and Rainfall Change on Surface Runoff in China

Abstract

Assessment of the impacts of land use/cover change (LUCC) and rainfall change on surface runoff depth can help provide an understanding of the temporal trend of variation of surface runoff and assist in urban construction planning. This study evaluated the impacts of LUCC and rainfall change on surface runoff depth by adopting the well-known Soil Conservation Service-Curve Number (SCS-CN) method and the widely used Long-Term Hydrologic Impact Assessment (L-THIA) model. National hydrologic soil group map of China was generated based on a conversion from soil texture classification system. The CN values were adjusted based on the land use/cover types and soil properties in China. The L-THIA model was configured by using the adjusted CN values and then applied nationally in China. Results show that nationwide rainfall changes and LUCC from 2005 to 2010 had little impact on the distribution of surface runoff, and the high values of runoff depth were mainly located in the middle and lower reaches of the Yangtze River. Nationally, the average annual runoff depths in 2005, 2010 and 2015 were 78 mm, 83 mm and 90 mm, respectively. For the 2015 land use data, rainfall change caused the variation of surface runoff depth ranging from −203 mm to 476 mm in different regions. LUCC from 2005 to 2015 did not cause obvious change of surface runoff depth, but expansion of developed land led to runoff depth increases ranging from 0 mm to 570 mm and 0 mm to 742 mm from 2005 to 2010 and 2010 to 2015, respectively. Potential solutions to urban land use change and surface runoff control were also analyzed.

Implementasi Rencana Induk Pengembangan Kawasan Sentul City Terhadap Limpasan Puncak dan Konstribusi Banjir

“…Secara nasional di wilayah Cina, rerata tahunan kedalaman limpasan pada tahun 2005, 2010 dan 2015 adalah 78 mm, 83 mm, dan 90 mm. Untuk data penggunaan lahan 2015, karena perubahan curah hujan menyebabkan variasi kedalaman limpasan mulai dari −203 mm hingga 476 mm di berbagai wilayah (Li et al, 2019). Empat komponen utama yang menentukan perubahan keseimbangan air tangkapan di DAS Mbarali-Tanzania adalah curah hujan, pengisian air tanah, penguapan, dan limpasan yang cenderung meningkat (Mutayoba et al, 2018).…”

Assessing the Effectiveness and Cost Efficiency of Green Infrastructure Practices on Surface Runoff Reduction at an Urban Watershed in China

“…The L-THIA-LID 2.1 model was developed from the L-THIA model [37,[42][43][44], which is easy to use and understand and has been successfully applied to many simulation studies of hydrological effects in China [2,45,46]. It has been widely used for the assessment of the implementation effectiveness and cost efficiency of GI practices on runoff control and improvement in many case studies in the U.S. [4,[47][48][49].…”

“…Given a lack of observation data in this research area, indirect calibration and validation was conducted. First, based on the research of Li et al [2], the land-use dataset of 2015 (same with the dataset in research of Li et al) and daily rainfall dataset from 2000 to 2017 (same with the rainfall dataset in this study) were used to simulate ARVs of the research area to get the comparison results (Table 4). Secondly, land-use data in this study and rainfall data from 2000 to 2009 were used to simulate ARV from 2000 to 2009 with the L-THIA-LID 2.1 model (baseline scenario, used for model calibration).…”

“…Rapid urbanization leads to large areas of natural land transitioning into impervious surfaces, which significantly declines the urban rain-flood control ability [1][2][3][4]. When it comes to a strong rainfall event, traditional urban drainage systems cannot meet the requirements of rapid collection and discharge of surface runoff, and a large amount of surface runoff causes urban flood disasters [5].…”

A Study to Suggest Monthly Baseflow Estimation Approach for the Long-Term Hydrologic Impact Analysis Models: A Case Study in South Korea

“…Eaton [17] analyzed a direct runoff reduction method using the L-THIA LID model to analyze green infrastructure screening and reported that direct runoff can be reduced by 12% by using bioretention and raingardens in the watershed. Li et al [18] analyzed changes in the surface runoff caused by land use and rainfall changes using the ArcL-THIA 10.1 model that is based on ArcGIS 10.0 [19]. The authors calibrated the ArcL-THIA 10.1 model by using the baseflow filter program (BFLOW) [20] model to separate direct runoff; they reported that enhanced precipitation contributed more significantly to the observed changes compared to land use during the period 2005-2015.…”