Variations in the Physicochemical Water Parameters and Phytoplankton Community in Coastal Water of Kudat, Sabah, Malaysia

This study was conducted to observe the abundance and distribution of phy-toplankton and temporal and spatial variation physico-chemical water parameters in coastal water of Kudat, Sabah, Malaysia. Water samples and in-situ water quality parameters were taken from five selected locations from May 2019 to February 2020. The sampling location was selected based on human-induced activities such as Marina Resort’s Jetty (ST1), Sabah Ports’ Jetty (ST2), aquaculture cage/pent (ST3), river’s mouth (ST4) and Landung Ayang’s water village (ST5). Water parameters: pH, salinity (ppt), dissolved oxygen (mg/L) temperature (°C) and depth (m) were recorded once every month from the selected station. Identification of phytoplanktonic species and cell density (cell/mL) were determined from collected water samples. Significant differences (p < 0.05) between physicochemical parameters to months were observed during the study period. However, in spatial variations, significant differences (p < 0.05) of pH, dissolved oxygen (mg/L) and temperature (°C) observed. A total of 21 phytoplankton species were identified from the study area, where 4 species belonged to Dinophyceae (HABs blooming species) and 17 species belonged to Bacillariophyceae. The influences of physicochemical water parameters were not significant in phytoplankton diversity and abundance. In addition to these parameters, the nutrients in the water might have important roles in the blooming of phytoplankton, which are essential and vital to address in this type of research.

Parameter selection and model research on remote sensing evaluation for nearshore water quality

Using remote sensing technology for water quality evaluation is an inevitable trend in marine environmental monitoring. However, fewer categories of water quality parameters can be monitored by remote sensing technology than the 35 specified in GB3097-1997 Marine Water Quality Standard. Therefore, we considered which parameters must be selected by remote sensing and how to model for water quality evaluation using the finite parameters. In this paper, focused on Leizhou Peninsula nearshore waters, we found N, P, COD, PH and DO to be the dominant parameters of water quality by analyzing measured data. Then, mathematical statistics was used to determine that the relationship among the five parameters was COD〉DO〉P〉N〉pH. Finally, five-parameter, fourparameter and three-parameter water quality evaluation models were established and compared. The results showed that COD, DO, P and N were the necessary parameters for remote sensing evaluation of the Leizhou Peninsula nearshore water quality, and the optimal comprehensive water quality evaluation model was the four- parameter model. This work may serve as a reference for monitoring the quality of other marine waters by remote sensing.

Modeling Arctic Intermediate Water: The effects of Neptune parameterization and horizontal resolution

Arctic Intermediate Water （AIW）, advected from the North Atlantic Ocean, has a potential influence on climate in the Arctic region, but is poorly simulated in coarse resolution models. In this study, a coupled ice-ocean model is used to investigate features of AIW by conducting two sensitivity experiments based on Neptune parameterization and horizontal resolution. The re- suits show that both experiments improve the modeling of temperature profiles in the western Eurasian Basin, mainly as a result of more realistic volume and heat transport through the Fram Strait. Topographical flows are well reproduced using Neptune parame- terization or a finer horizontal resolution. In the eddy-permitting model with relatively higher resolution, the velocity field is more realistic than in the Neptune parameterization model, and complex inflow and outflow belts of barotropic structure are well repro- duced. The findings of this study suggest that increased model resolution, as provided by an eddy-resolving model, is needed to reproduce realistic circulation and thermohaline structure in the Arctic, since the Rossby radius of deformation is only several kilometers in the Arctic Ocean. This paper focuses on the external heat input rather than internal mixing process, and obtains a conclusion that the heat input from the Fram Strait is a main factor to reproduce AIW in the Eurasian Basin successfully, at least for the western part.

Understanding Seasonal and Spatial Variation of Water Quality Parameters in Mangrove Estuary of the Nyong River Using Multivariate Analysis (Cameroon Southern Atlantic Coast)

To evaluate the actual status of water quality and conclude on the mains source of pollution in the Nyong estuary River, seasonal and spatial variation of water quality parameters was interpreted by multivariate statistical techniques (Principal Component analysis). Nine (09) environmental variables were monitored at four surface stations in the estuary for two seasonal cycles. The fieldwork was conducted from 2018 to 2019 during high tide and low tide for each survey. In situ physical parameters were measured for a total of 64 samples (32 samples for each tide). The laboratory works consisted of some physicochemical analyses and processing of these data by descriptive and multidimensional statistical analyses. Temperature, suspended particle matter, nitrate, nitrite and phosphate change significantly in the estuary with season (p < 0.05), while salinity, dissolved oxygen, pH, and ammonium do not vary significantly with season (p > 0.05). Principal Component analysis found temperature, salinity, pH, ammonium to be the most important parameters contributing to the fluctuations of surface water quality in the Nyong estuary during the dry seasons whereas suspended particle matter, nitrate, and phosphate are the most important parameters contributing to the fluctuation of surface water quality in the Nyong estuary during the rainy seasons. Based on spatial variation, the Principal Component analysis found that, suspended particle matter, nitrate and phosphate contribute to the fluctuation of surface water quality parameters upstream of the estuary while downstream salinity, pH, and ammonium contribute the most to the fluctuation of surface water quality. This study shows us the usefulness of multivariate statistical techniques used in assessing water quality data sets that would help us in understanding seasonal and spatial variations of water quality parameters to manage estuarine systems.

Parameterization of Longwave Optical Properties for Water Clouds

Based on relationships between cloud microphysical and optical properties, three different parameterization schemes for narrow and broad band optical properties in longwave region for water clouds have been presented. The effects of different parameterization schemes and different number of broad bands used on cloud radiative properties have been investigated. The effect of scattering role of cloud drops on longwave radiation fluxes and cooling rates in cloudy atmospheres has also been analyzed.

Sequential Parameter Estimation Using Modal Dispersion Curves in Shallow Water

Existing sequential parameter estimation methods use the acoustic pressure of a line array as observations. The modal dispersion curves are employed to estimate the sound speed profile（SSP） and geoacoustic parameters based on the ensemble Kalman filter. The warping transform is implemented to the signals received by a single hydrophone to obtain the dispersion curves. The experimental data are collected at a range-independent shallow water site in the South China Sea. The results indicate that the SSPs are well estimated and the geoacoustic parameters are also well determined. Comparisons of the observed and estimated modal dispersion curves show good agreement.

Implications of Dynamic Interactions between Meteorological Patterns and Surface Water Quality on Environmental Health—A Case Study of the Nairobi River

Urban areas face significant challenges in maintaining water quality amidst increasing urbanization and changing climatic patterns. This study investigates the complex interplay between meteorological variables and water quality parameters in Nairobi City, focusing on the impacts of rainfall and temperature on surface water quality. Data from multiple sources, including the Water Resources Authority, Nairobi Water and Sewerage Company, and the World Bank’s Climate Change Knowledge Portal, were analyzed to assess the relationships between meteorological variables (rainfall and temperature) and water quality parameters (such as electroconductivity, biochemical oxygen demand, chloride, and pH). The analysis reveals varying impacts of rainfall and temperature on different water quality parameters. While parameters like iron and pH show strong relationships with both rainfall and temperature, others such as ammonia and nitrate exhibit moderate relationships. Additionally, the study highlights the influence of runoff, urbanization, and industrial activities on water quality, emphasizing the need for holistic management approaches. Recommendations encompass the establishment of annual publications on Nairobi River water quality, online accessibility of water quality data, development of hydrological models, spatial analysis, and fostering cross-disciplinary research collaborations. Implementing these recommendations can enhance water quality management practices, mitigate risks, and safeguard environmental integrity in Nairobi City.

Measuring cotton water status using water-related vegetation indices at leaf and canopy levels

Drought is one of the major environmental threats in the world. In recent years, the damage from droughts to the environment and economies of some countries has been extensive, and drought monitoring has caused widespread concerns. Remote sensing has a proven ability to provide spatial and temporal measurements of surface properties, and it offers an opportunity for the quantitative assessment of drought indicators such as the vegetation water content at different levels. In this study, sites of cotton field in Shihezi, Xinjiang, Northwest China were sampled. Four classical water content parameters, namely the leaf equivalent water thickness （EWT^e,f）, the fuel moisture content （FMC）, the canopy equivalent water thickness （EVVmcanopy） and vegetation water content （VWC） were evaluated against seven widely-used water-related vegetation indices, namely the NDII （normalized difference infrared index）, NDWI2130 （normalized difference water index）, NDVI （normalized difference vegetation index）, MSI （moisture stress index）, SRWI （simple ratio water index）, NOWI1240 （normalized difference water index） and WI （water index）, respectively. The results proved that the relationships between the water-related vegetation indices and EWTleaf were much better than that with FMC, and the relationships between vegetation indices and EWTcanopy were better than that with VWC. Furthermore, comparing the significance of all seven water-related vegetation in- dices, WI and NDII proved to be the best candidates for EWT detecting at leaf and canopy levels, with R2 of 0.262 and 0.306 for EWTlear-WI and EWTcanopy-NDII linear models, respectively. Besides, the prediction power of linear regression technique （LR） and artificial neural network （ANN） were compared using calibration and validation dataset, respectively. The results indicated that the performance of ANN as a predictive tool for water status meas- uring was as good as LR. The study should further our understanding of the relationships between water-related vegetation indices and water parameters.

Chemical substances present in discharge water generated by laundry industry:Analytical monitoring

To our knowledge,precise data concerning the pollution in terms of qualitative and quantitative fluctuations in discharge water from the laundry sector have seldom been reported.This study investigated the chemical composition of the discharge water from a laundry industry.Over 160 chemical substances and 15 standard water parameters were monitored.The results showed that the discharge water presented both inorganic and organic polycontamination with a high degree of qualitative and quantitative variability.However,of all monitored substances,only five metals(Al,Cu,Fe,Sr,and Zn),five minerals(P,Ca,K,Na,and S),and alkylphenols were systematically present and quantifiable.For a daily average water flow of 129 m^(3),the released metal flux was 356 g/d.Substances,such as trichloromethane,brominated diphenyl ether(BDE)47,and fluorides,were occasionally found and quantified.Other substances,such as chlorophenols,organo-tins,and pesticides were never identified.All the samples had quantifiable levels in the chemical oxygen demand(COD),biological oxygen demand(BOD),and hydrocarbons.Only the concentrations of Zn(8.3 g/d),Cu(21.4 g/d),and BOD(57.4 g/d)were close to or above the regulatory values:74.0 g/d for Zn,9.0 g/d for Cu,and 57.0 kg/d for BOD.The data obtained from this study are useful to the choice of additional treatments for the reduction of pollutant fluxes.

The Influence of Weather and Climate Variability on Groundwater Quality in Zanzibar

Climate change and variability have been inducing a broad spectrum of impacts on the environment and natural resources including groundwater resources. The study aimed at assessing the influence of weather, climate variability, and changes on the quality of groundwater resources in Zanzibar. The study used the climate datasets including rainfall (RF), Maximum and Minimum Temperature (Tmax and Tmin), the records acquired from Tanzania Meteorological Authority (TMA) Zanzibar office for 30 (1989-2019) and 10 (2010-2019) years periods. Also, the Zanzibar Water Authority (ZAWA) monthly records of Total Dissolved Solids (TDS), Electrical Conductivity (EC), and Ground Water Temperature (GWT) were used. Interpolation techniques were used for controlling outliers and missing datasets. Indeed, correlation, trend, and time series analyses were used to show the relationship between climate and water quality parameters. However, simple statistical analyses including mean, percentage changes, and contributions to the annual and seasonal mean were calculated. Moreover, t and paired t-tests were used to show the significant changes in the mean of the variables for two defined periods of 2011-2015 and 2016-2020 at p ≤ 0.05. Results revealed that seasonal variability of groundwater quality from March to May (MAM) has shown a significant change in trends ranging from 0.1 to 2.8 mm/L/yr, 0.1 to 2.8 μS/cm/yr, and 0.1 to 2.0℃/yr for TDS, EC, and GWT, respectively. The changes in climate parameters were 0.1 to 2.4 mm/yr, 0.2 to 1.3℃/yr and 0.1 to 2.5℃/yr in RF, Tmax, and Tmin, respectively. From October to December (OND) changes in groundwater parameters ranged from 0.2 to 2.5 mm/L/yr 0.1 to 2.9 μS/cm/yr, and 0.1 to 2.1℃/yr for TDS, EC, and GWT, whereas RF, Tmax, and Tmin changed from 0.3 to 1.8 mm/yr, 0.2 to 1.9℃/yr and 0.2 to 2.0℃/yr, respectively. Moreover, the study has shown strong correlations between climate and water quality parameters in MAM and OND. Besides, the paired correlation has shown significant changes in all parameters except the rainfall. Conclusively, the study has shown a strong influence of climate variability on the quality of groundwater in Zanzibar, and calls for more studies to extrapolate these results throughout Tanzania.

Primary Production and the Hydrochemical Parameters of the Salt Lakes in the North-Western Part of the Crimea(Russia)

1 Introduction It is known that more than 300 lakes and lagoons are present in the Crimean Peninsula,which are divided depending on position to 7 groups:Perekop,Tarkhankut,Evpatoriyskaya,Khersonesskaya,lake on the mountainpastures,Kerch and Genicheskaya.Almost the all lakes,with the exception of the small freshwater lakes,which situated on mountain pastures of the Main ridge of

The Industrial Production of Water Dedicated to Absorption of Gases

The paper presents a flow plasma reactor permitting modification of the properties of water/aqueous solutions by stochastic resonance amplification of vibrations of selected chemical species in water with electromagnetic noise generated during a plasma discharge. The main parameters characterizing the quality for super-pure water, tap water and water from the intake in Besko (Poland) before and after the process in the plasma reactor were presented for comparison. In addition, the 17O NMR (the full width at half maximum) and electrospray ionization mass spectrometry (ESI MS) methods were used to determine differences in physicochemical parameters between the untreated and plasma-treated water. It has been established that the water subjected to plasma treatment shows much different gas absorption properties than the untreated water samples, as a function of temperature and pressure, in this paper we report exemplary data for CO2, oxygen and acetylene. The improved gas absorption properties of the plasma-treated water make it attractive for the use in industrial processes. It is worth pointing to a great capacity of the new reactor (4000 l/h), and low energy consumption (20 MJ/h) for the treatment of the above mentioned volume flow rate of water.

NUMERICAL SIMULATION OF INFLUENCE OF STRATOSPHERIC METHANE ON TROPICAL WATER VAPOR AND TEMPERATURE

Climatic c haracteristics of tropical stratospheric methane have been well researched using various satellite data, and numerical simulations have furtherly conducted using chemical climatic models, while the impact of tropica1 stratospheric methane oxidation on tropical distribution of water vapor is not paid enough attention in general circulation models. Parameterization of methane oxidation is taken into account to deal with the chemical moisturizing action due to the methane oxidation in this paper. Numerical simulation and analysis of the influence of stratospheric methane on the prediction of tropical stratospheric moisture and temperature fields using general circulation model is conducted using heavy storm cases including a heavy rain in South China and a typhoon caused tropical storm. The results show obvious impact of methane oxidation on the forecasting precipitation. It is demonstrated that the stratospheric water vapor in the tropic is significantly remedied by introducing of parameterization of methane oxidation. And prediction of stratospheric temperature is accordingly modified, especially in the lower stratosphere within 30°N. The verification of monthly mean of forecast anomaly correlation(ACC) and root mean square(RMS)errors over the tropics indicated that the impact of stratospheric methane is neutral as to the forecast of geopotential height, and positive to the forecast of temperature and winds over the tropics.

A harmonic analyzed parameterization of tide-induced mixing for ocean models

The tide-induced mixing plays an important role in the regulation of ocean circulation.Numerical simulation of continental shelf circulation is found to exhibit an unreasonable vertical thermohaline structure without consideration of tide effects.In this study,we establish a harmonic analyzed parameterization of tide-induced（HAT） mixing,by which means to derive time-depended function of mixing coefficient based on harmonic analysis of the vertical mixing coefficient.By employing HAT mixing parameterization scheme,a series of numerical experiments are conducted for the Yellow Sea.Numerical results show that an ocean circulation model with the HAT mixing involved is capable of reproducing the reasonable thermohaline structure of the Yellow Sea Cold Water Mass,similar to structures produced by explicit tidal forcing on the open boundary.The advantage of the HAT method is its faster computation time,compared with models that directly resolve explicit tidal motion.The HAT parameterization for the tide-induced mixing has potential to improve both the accuracy and efficiency of ocean circulation and climate models.

大弧度双曲面清水混凝土墙体施工技术研究

以中关村论坛永久主会址弧形清水混凝土施工为研究对象,其清水混凝土下沉庭院为超长及不规则双曲表面变截面挡土墙。为达到清水混凝土施工一次成优的效果,采用数字化模板施工管理,参数化模板分块深化,利用三维扫描形成预留钢筋点云模型,对现场预留钢筋位置进行细微调整,对拉螺栓安装位置准确,达到对清水模板禅缝的要求,整体施工质量较好。同时,提高了清水混凝土施工效率,减少了误差和返工,为项目的顺利实施提供了较好的支持。

面向子午流道过水断面面积线性化的叶轮参数化优化方法

基于Bezier曲线控制点确定离心叶轮子午流道轴面型线的方法存在经验性强、设计效率不足等问题,因此,提出一种基于子午流道过水断面面积线性化的参数化优化方法。首先,给出一种离心叶片的全流程参数化水力设计方法。其次,以子午流道过水断面面积线性化为目标,基于二阶Bezier曲线完成叶轮的轴面优化设计。最后,采用上述方法对某型燃油离心叶轮进行优化设计及CFD仿真验证。结果表明:所提出的参数化设计方法能够有效实现离心叶轮的全流程水力设计,并保证了设计效率和精度;此外,相比原型叶轮,优化后其扬程提高了1.05%,效率提高了1.34%。上述结果验证了所提出的参数化优化方法具有一定的可信度。

基于Dynamo的碾盘山水利枢纽泄水闸桩基BIM设计

针对碾盘山水利枢纽工程采用BIM设计,泄水闸的桩基设计具有数量大、桩长不一、工程量难以准确统计,采用传统二维和三维设计进行桩基布置,工作流程繁琐且耗时耗力。基于Dynamo的参数化和模块化功能探索大量桩基的快速布置,实现了大批量桩基的快速建模、出图和工程量统计,减少了人为计算的误差,极大地提高了统计精度,使设计效率与质量显著提升。

大型灌区陆地水循环模式的参数化方案:LWCMPS_ID

地表水系统、地下水系统和土壤植物大气连续体的强烈耦合作用是大型灌区水文过程的基本特点,这导致对大型灌区的陆地水循环和水资源进行评价必须采取综合的方法,然而目前还缺少适用的模拟工具。农业灌区的水文特征与天然流域存在显著差别,常规流域水文模型和陆面过程参数化方案用于大型灌区陆地水循环的分析还存在较大的困难。LWCMPS_ID是本文提出的一个适用于大型灌区陆地水循环模式的参数化方案,采用分块集中参数模型简明地实现了地表水、地下水和土壤水的动力学耦合分析,并且包含了一个土壤水冻结融化的简化模型。对处在黄河流域的内蒙古河套灌区,用LWCMPS_ID进行20 年水文动态的模拟,取得了较好的效果。

黄河源高寒湿地—大气间暖季水热交换特征及关键影响参数研究

湿地是由陆地和水体形成的自然综合体,具有重要的生态、水文和生物地球化学功能,黄河源高寒湿地作为黄河重要的水源涵养区,对其下垫面水热交换特征及关键影响参数的研究具有非常重要的意义。本文利用中国科学院西北生态环境资源研究院麻多黄河源气候与环境变化观测站2014年6~8月观测资料,分析了黄河源区高寒湿地—大气间暖季水热交换特征,并利用公用陆面模式(Community Land Model,简称CLM)模拟了热通量变化,提出针对高寒湿地的粗糙度优化方案。主要结果如下:(1)暖季向上、向下短波与净辐射的平均日变化规律一致,向上、向下长波平均日变化平缓,地表温度升高相对于向下短波具有滞后性,潜热通量始终为正值并大于感热通量;(2)温度变化显著层结为20 cm以上土壤浅层,存在明显的日循环规律,土壤中热量09:00(北京时,下同)下传至5 cm深度,温度升高,11:00至10 cm深度,13:00至20 cm深度,18:00后开始上传,温度降低,40 cm及以下深度受此影响较小,热量在土壤中整体由浅层向深层输送;(3)土壤湿度平均日变化小,5 cm深度为土壤湿度最小层,10 cm深度为最大层;(4)麻多高寒湿地动力学粗糙度Z0m在暖季变化稳定,可作为常数,Z0m=0.0143 m;(5)提出更加适合高寒湿地下垫面暖季附加阻尼k B-1参数化方案,使得热通量模拟效果较CLM原始方案有所提高。以上结果对于研究湿地下垫面陆面过程具有重要意义。

利用RZWQM-CERES模拟华北平原农田土壤水分动态及其对作物产量的影响

农业系统模型是农业生产多元目标优化管理的重要工具,但由于系统模型过程复杂,参数众多,校正和验证工作一直是模型研究的重点和难点。本文利用RZWQM(Root Zone Water Quality Model)与CERES(Crop Environment Resource Synthesis)的结合模型RZWQM-CERES模拟土壤水分及作物产量进行了参数优化和验证,结果表明,RZWQM-CERES在禹城站和栾城站模拟不同灌溉处理土壤贮水量与测定值呈相似的变化趋势,均方根差(RMSE)分别为2.38～2.70cm及3.49～3.73cm;作物产量模拟结果与实测值对土壤水分的响应趋势一致(R2=0.83***,n=22),其中在禹城站模拟小麦和玉米产量的RMSE分别为550kghm?2和580kghm-2,栾城站模拟小麦产量的RMSE为670kghm-2。以上结果表明RZWQM-CERES可作为华北平原模拟和分析土壤水分对作物产量影响的有效工具。本文初步建立了一套适合华北平原作物生产的模型参数,为利用RZWQM-CERES建立农田水分优化调控策略奠定了基础,并探讨了模型评价过程中应注意的问题。