Analysis of snowmelt model for flood forecast for water in arid zone: case of Tarim River in Northwest China   总被引：1，自引：1，他引：0  

Mupenzi Jean de la Paix  Li Lanhai  Ge Jiwen  Habumugisha Jean de Dieu  Nzayisenga Theoneste 《Environmental Earth Sciences》2012,66(5):1423-1429

Field studies were carried out in Tarim River Basin, Northwest China for analysis of snowmelt model for flood forecast for a river in arid zone. Snow is a major source for water availability in arid zone of Northwest China where 50% of snow cover withdrew by sublimation during dry and cold climatic condition. The analysis of weekly forecast of daily discharges was helped by the temperature index model, ARIMA model for temperature and flow, D-IUH runoff model and D-IUH model estimation where the temperature forecast was used as driving variable; the numerical simulations were carried out using SUSA^® software for testing the sensitivity of the D-IUH to the input values of the parameter and an analysis of the forecast results against the set of input parameters resulted in a determination coefficient R ² = 0.5. The standard deviation was 3.28 and the mean for the Tarim River was 5.37 (mm d^?1) implying that the forecasted data is in strong agreement with the observed data. The combination of methods is better useful for calculation in order to avoid errors of appreciation.  相似文献   

Land use/cover changes in the war-ravaged Jaffna Peninsula, Sri Lanka, 1984–early 2004     

K. Suthakar  Elisabeth N. Bui 《Singapore journal of tropical geography》2008,29(2):205-220

Temporal and spatial information on land use/cover is a prerequisite for effective planning decisions in the context of social and economic development. Satellite remote sensing data have become increasingly important in the study of land use/cover changes. This paper uses multitemporal satellite data to measure and spatially characterize land use/cover changes in the Jaffna Peninsula, northern Sri Lanka over the two decades from 1984 to early 2004 in terms of potential drivers. Over this period, the Jaffna Peninsula has been impacted severely by armed conflict between the government of Sri Lanka and the Liberation Tigers of Tamil Eelam. A postclassification method is used to compare land use/cover classes from satellite images using Geographical Information Systems (GIS) to analyze the spatial pattern of land use/cover changes over the study period. Results indicate that the land use/cover pattern has been very dynamic since early the 1980s, showing a remarkable decrease in agricultural land use and concomitant increase in non-agricultural land uses. The ethnic conflict and its consequences, particularly large-scale population migrations, have been the main driving forces for such land use/cover changes in the Jaffna Peninsula. The results of this study are not only important in aiding efforts to reconstruct this area after decades of physical and socioeconomic devastation, but should also prompt similarly urgent studies in other inaccessible war-torn areas of the world.  相似文献   

Experimental evidence of the double-porosity effects in geomaterials     

Tien Dung Tran Ngoc  Jolanta Lewandowska  Henri Bertin 《Acta Geophysica》2014,62(3):642-655

Double-porosity is an important characteristic of microstructure in a large range of geomaterials. It designs porous media with connected fissures/fractures or aggregated soils. The origin of double-porosity can be natural or/and it can result from mechanical, chemical or biological damage. The presence of double-porosity can significantly affect the behaviour of geomaterials. In this paper we provide an experimental evidence of the double-porosity effects by performing laboratory experiments. Series of tracer dispersion experiments (in saturated and unsaturated steady-state water flow conditions) in a physical model of double-porosity geomaterial were carried out. For the comparative purposes, experiments of the same type were also performed in a singleporosity model medium. The results clearly showed that the double-porosity microstructure leads to the non-Fickian behaviour of the tracer (early breakthrough and long tail) in both saturated and unsaturated cases.  相似文献   

Features of the Distribution of Abnormal Gasgeochemical Fields in the Red River Rift (Gulf of Tonkin,South China Sea)     

Shakirov  R. B.  Hung  Duong Quoc  Syrbu  N. S.  Anh  Le Duc  Obzhirov  A. I.  Borzova  O. V.  Okulov  A. K.  Van Nam  Bui  Van Diep  Nguyen  Dong  Mai Duc  Legkodimov  A. A.  Shakirova  M. V.  Ponomareva  A. L.  Bakunina  M. S. 《Doklady Earth Sciences》2019,484(2):181-184

Doklady Earth Sciences - This paper reports the results of the third Russian–Vietnamese expedition (V.I. Il'ichev Pacific Oceanological Institute, Far East Branch, Russian Academy of...  相似文献   

Landslide susceptibility assessment at the Wuning area,China: a comparison between multi-criteria decision making,bivariate statistical and machine learning methods     

Hong  Haoyuan  Shahabi  Himan  Shirzadi  Ataollah  Chen  Wei  Chapi  Kamran  Ahmad  Baharin Bin  Roodposhti  Majid Shadman  Yari Hesar  Arastoo  Tian  Yingying  Tien Bui  Dieu 《Natural Hazards》2019,96(1):173-212

Natural Hazards - The aim of this research is to investigate multi-criteria decision making [spatial multi-criteria evaluation (SMCE)], bivariate statistical methods [frequency ratio (FR), index of...  相似文献   

Landslide Susceptibility Assessment Using Bagging Ensemble Based Alternating Decision Trees,Logistic Regression and J48 Decision Trees Methods: A Comparative Study     

Binh Thai Pham  Dieu Tien Bui  Indra Prakash 《Geotechnical and Geological Engineering》2017,35(6):2597-2611

In this study, we have evaluated and compared prediction capability of Bagging Ensemble Based Alternating Decision Trees (BADT), Logistic Regression (LR), and J48 Decision Trees (J48DT) for landslide susceptibility mapping at part of the Uttarakhand State (India). The BADT method has been proposed in the present study which is a novel hybrid machine learning ensemble approach of bagging ensemble and alternating decision trees. The J48DT is a relative new machine learning technique which has been applied only in few landslide studies, and the LR is known as a popular landslide susceptibility model. For the model studies, a spatial database of 930 historical landslide events and 15 landslide affecting factors have been collected and analyzed. This database has been used to build and validate the landslide models namely BADT, LR and J48DT Predictive capability of these models has been validated and compared using statistical analyzing methods and Receiver Operating Characteristic (ROC) curve. Results show that these three landslide models (BADT, LR and J48DT) performed well with the training dataset. However, using the validation dataset the BADT model has the highest prediction capability, followed by the LR model, and the J48DT model, respectively. This indicates that the BADT is a promising method which can be used for landslide susceptibility assessment also for other landslide prone areas.  相似文献   

Sandwaves on the Southeast Vietnam Shelf recorded by high resolution seismic profiles: formation and mechanism   总被引：1，自引：0，他引：1  

Viet Dung Bui  Alex Schimanski  Karl Stattegger  Phach Van Phung  The Tiep Nguyen  Tien Hai Nguyen  Trung Thanh Nguyen  Truong Thanh Phi 《Frontiers of Earth Science》2009,3(1):9-20

The application of high resolution seismic data using boomer sound source has revealed a wide distribution of large-scale bedforms (sandwaves) on the Southeast Vietnam continental shelf. Bedforms that are a few meters high in wave height and hundreds of meters long in wavelength are primarily developed in the inner shelf (20–40 m) and considered to be formed under the present-day marine hydrodynamic conditions. Those bedforms developed in the deeper water (120 m) of the northernmost part of the continent can be interpreted as the relict morphological features formed during the latest sea-level lowstand of the late Pleistocene period. Two sediment transport paths have been identified on the basis of the bedform’s leeward orientation: northeast-southwest (along-shore) and north-south (cross-shore). A quantitative bottom current map is constructed from sandwave dimensions, surface sediments and measurement data. The strongest current velocities that gradually decrease toward the southwest are indicated by large sandwaves in the north (field B). Water depth, surficial sediment composition and bottom current are three factors that control the development of bedforms.  相似文献   

The Nui Chua layered peridotite-gabbro complex as manifestation of Permo-Triassic mantle plume in northern Vietnam     

G.V. Polyakov  R.A. Shelepaev  Tran Trong Hoa  A.E. Izokh  P.A. Balykin  Ngo Thi Phuong  Tran Quoc Hung  Bui An Nien 《Russian Geology and Geophysics》2009,50(6):501-516

New data on the age, composition, formation conditions, and ore-geochemical specialization of the Nui Chua layered peridotite-gabbro complex are reported. They evidence that the complex resulted from the Permo-Triassic mantle plume activity in northern Vietnam (southern framing of the Yangtze Platform). Two series of mafic and ultramafic rocks differing in ore productivity—layered (PGE-Cu-Ni) and pegmatoid (Fe-Ti-V)—have been recognized within the complex. The first estimates of the composition of their parental melts have been obtained.  相似文献   

Deep learning neural networks for spatially explicit prediction of flash flood probability     

Mahdi Panahi  Abolfazl Jaafari  Ataollah Shirzadi  Himan Shahabi  Omid Rahmati  Ebrahim Omidvar  Saro Lee  Dieu Tien Bui 《地学前缘(英文版)》2021,12(3):370-383

Flood probability maps are essential for a range of applications, including land use planning and developing mitigation strategies and early warning systems. Th...  相似文献   

Comparison of treatments of non-linear drag forces acting on fixed offshore platforms     

Bui Van Dao  Joseph Penzien 《Applied Ocean Research》1982,4(2):66-72

  相似文献