太湖蓝藻爆发与水温的关系的MODIS遥感   总被引：15，自引：4，他引：11  

王得玉  冯学智  周立国  郝景燕  徐晓雄 《湖泊科学》2008,20(2):173-178

利用MODIS高光谱遥感数据动态监测太湖地区蓝藻水华发展过程,并结合水温环境因子,探讨蓝藻爆发的环境条件.首先,通过简单的比值植被指数,实现蓝藻生物量的遥感估算;根据六期遥感估算结果,监测太湖蓝藻动态发展过程.然后,利用MODIS热红外波段(31和32),采用分裂窗算法,同步反演出的太湖表面水体温度,探讨蓝藻爆发的水温条件,及蓝藻生长与水-温度之间的关系.研究结果表明,在水体富营养化前提下,水体温度是影响蓝藻生长的重要环境因子;合适的水体温度(24-30℃)是蓝藻爆发的必要条件;大于30℃的高温,对蓝藻的生长有明显的抑制作用.  相似文献   

Porewater-derived dissolved inorganic carbon and nutrient fluxes in a saltmarsh of the Changjiang River Estuary     

Xiaogang Chen  Jinzhou Du  Xueqing Yu  Xiaoxiong Wang 《海洋学报(英文版)》2021,40(8):32-43

Saltmarshes are one of the most productive ecosystems, which contribute significantly to coastal nutrient and carbon budgets. However, limited information is available on soil nutrient and carbon losses via porewater exchange in saltmarshes. Here, porewater exchange and associated fluxes of nutrients and dissolved inorganic carbon(DIC) in the largest saltmarsh wetland(Chongming Dongtan) in the Changjiang River Estuary were quantified. Porewater exchange rate was estimated to be(37±35) cm/d during December 2017 using a radon(~(222)Rn) mass balance model. The porewater exchange delivered 67 mmol/(m~2·d), 38 mmol/(m~2·d) and 2 690 mmol/(m~2·d) of dissolved inorganic nitrogen(DIN), dissolved silicon(DSi) and DIC into the coastal waters,respectively. The dominant species of porewater DIN was NH_4~+ (99% of DIN). However, different with those in other ecosystems, the dissolved inorganic phosphorus(DIP) concentration in saltmarsh porewater was significantly lower than that in surface water, indicating that saltmarshes seem to be a DIP sink in Chongming Dongtan. The porewater-derived DIN, DSi and DIC accounted for 12%, 5% and 18% of the riverine inputs, which are important components of coastal nutrient and carbon budgets. Furthermore, porewater-drived nutrients had obviously high N/P ratios(160–3 995), indicating that the porewater exchange process may change the nutrient characteristics of the Changjiang River Estuary and further alter the coastal ecological environment.  相似文献   

Temporal and spatial changes of blue water and green water in the Taihang Mountain Region,China, in the past 60 years     

Junkai Du  Chunfeng Hao  Yaqin Qiu  Cunwen Niu  Huan Liu 《水文科学杂志》2019,64(16):2040-2056

ABSTRACT

Appropriate allocation of limited freshwater resources to humans and ecosystems is an important issue hampering sustainable development in mountainous regions. The Taihang Mountain Region (TMR), including the Yellow and Hai river basins, is an important water source area for the North China Plain. The distributed hydrological model Water and Energy transfer Processes in Large river basins (WEP-L) was used to simulate the water cycle processes and to summarize the temporal and spatial changes in the blue and green water in the TMR from 1956 to 2015. The results show that in the period 2011–2015 the annual average blue water decreased by 7.31 × 10⁹ m³, while the annual average green water increased by 13.60 × 10⁹ m³ compared to 1956–1960. At the inter-annual time scale, the blue water exhibited a downward trend while the green water exhibited an upward trend. The amount of seasonal blue water in the TMR is ranked in descending order: summer, autumn, spring and winter, while for green water, the rank is summer, spring, autumn and winter. The amounts of blue and green water are higher on the windward than on the leeward slopes. The blue water yield is generally higher in forests and grasslands than in farmland, while the green water exhibits the opposite response. A greater emphasis should be placed on the widening gap between blue water and green water due to climate warming, and on soil and water conservation measures.  相似文献   

Hydrological modelling of the Vistula and Odra river basins using SWAT   总被引：3，自引：1，他引：2  

M. Piniewski  M. Szcześniak  I. Kardel  T. Berezowski  T. Okruszko  R. Srinivasan 《水文科学杂志》2017,62(8):1266-1289

This paper presents a large-scale application of the SWAT model for water balance and natural streamflow simulation in the entire basins of the Vistula and the Odra, covering most of the territory of Poland. A tailored calibration approach was designed to achieve satisfactory goodness-of-fit across a range of catchment sizes. Model calibration and evaluation driven by high-resolution climate data showed overall good behaviour for 80 benchmark catchments divided into eight clusters, and spatial evaluation for 30 gauges showed that the designed regionalization scheme performed well (median KGE of 0.76). Basin-averaged estimates of blue and green water flow and green water storage estimated using the calibrated model were 185, 517 and 206 mm, respectively. This study provides a basis for future work, such as assessing climate change impacts on hydrology, assessing flow alterations, and water quality simulation. The model output is publicly available through an online research data archive (doi:10.4121/uuid:b8ab4f5f-f692-4c93-a910-2947aea28f42).